Economic growth

Last updated
Gdp accumulated change.png
Gross domestic product real growth rates, 1990–1998 and 1990–2006, in selected countries.

Economic growth is the increase in the inflation-adjusted market value of the goods and services produced by an economy over time. It is conventionally measured as the percent rate of increase in real gross domestic product, or real GDP. [1]

Market value or OMV is the price at which an asset would trade in a competitive auction setting. Market value is often used interchangeably with open market value, fair value or fair market value, although these terms have distinct definitions in different standards, and may or may not differ in some circumstances.

Economics Social science that analyzes the production, distribution, and consumption of goods and services

Economics is the social science that studies the production, distribution, and consumption of goods and services.

Gross domestic product market value of goods and services produced within a country

Gross domestic product (GDP) is a monetary measure of the market value of all the final goods and services produced in a period of time, often annually. GDP (nominal) per capita does not, however, reflect differences in the cost of living and the inflation rates of the countries; therefore using a basis of GDP per capita at purchasing power parity (PPP) is arguably more useful when comparing differences in living standards between nations.

Contents

Growth is usually calculated in real terms - i.e., inflation-adjusted terms – to eliminate the distorting effect of inflation on the price of goods produced. Measurement of economic growth uses national income accounting. [2] Since economic growth is measured as the annual percent change of gross domestic product (GDP), it has all the advantages and drawbacks of that measure. The economic growth rates of nations are commonly compared using the ratio of the GDP to population or per-capita income. [3]

Inflation increase in the general price level of goods and services in an economy over a period of time

In economics, inflation is a sustained increase in the general price level of goods and services in an economy over a period of time. When the general price level rises, each unit of currency buys fewer goods and services; consequently, inflation reflects a reduction in the purchasing power per unit of money – a loss of real value in the medium of exchange and unit of account within the economy. The measure of inflation is the inflation rate, the annualized percentage change in a general price index, usually the consumer price index, over time. The opposite of inflation is deflation.

A variety of measures of national income and output are used in economics to estimate total economic activity in a country or region, including gross domestic product (GDP), gross national product (GNP), net national income (NNI), and adjusted national income also called as NNI at factor cost. All are specially concerned with counting the total amount of goods and services produced within the economy and by different sectors. The boundary is usually defined by geography or citizenship, and it is also defined as the total income of the nation and also restrict the goods and services that are counted. For instance, some measures count only goods & services that are exchanged for money, excluding bartered goods, while other measures may attempt to include bartered goods by imputing monetary values to them.

National accounts or national account systems (NAS) are the implementation of complete and consistent accounting techniques for measuring the economic activity of a nation. These include detailed underlying measures that rely on double-entry accounting. By design, such accounting makes the totals on both sides of an account equal even though they each measure different characteristics, for example production and the income from it. As a method, the subject is termed national accounting or, more generally, social accounting. Stated otherwise, national accounts as systems may be distinguished from the economic data associated with those systems. While sharing many common principles with business accounting, national accounts are based on economic concepts. One conceptual construct for representing flows of all economic transactions that take place in an economy is a social accounting matrix with accounts in each respective row-column entry.

The "rate of economic growth" refers to the geometric annual rate of growth in GDP between the first and the last year over a period of time. This growth rate is the trend in the average level of GDP over the period, which ignores the fluctuations in the GDP around this trend.

An increase in economic growth caused by more efficient use of inputs (increased productivity of labor, physical capital, energy or materials) is referred to as intensive growth . GDP growth caused only by increases in the amount of inputs available for use (increased population, new territory) is called extensive growth . [4]

In economics, physical capital or just capital is a factor of production, consisting of machinery, buildings, computers, and the like. The production function takes the general form Y=f(K, L, N), where Y is the amount of output produced, K is the amount of capital stock used, L is the amount of labor used, and N is the amount of natural resources used. In economic theory, physical capital is one of the three primary factors of production; the others are natural resources, and labor—the stock of competences embodied in the labor force. Physical capital is distinct from human capital, circulating capital, and financial capital. Physical capital is fixed capital, which is any kind of real physical asset that is not used up in the production of a product. Usually the value of land is not included in physical capital as it is not a reproducible product of human activities.

Extensive growth, in economics, is growth in the quantity of output produced based on the expansion of the quantity of inputs used. It contrasts with intensive growth, which arises from inputs being used more productively. For example, GDP growth caused only by increases in population or territory would be extensive growth. Thus, extensive growth is likely to be subject to diminishing returns. It is therefore often viewed as having no effect on per-capita magnitudes in the long-run.

Development of new goods and services also creates economic growth. [5]

Invention the act of inventing something

An invention is a unique or novel device, method, composition or process. The invention process is a process within an overall engineering and product development process. It may be an improvement upon a machine or product or a new process for creating an object or a result. An invention that achieves a completely unique function or result may be a radical breakthrough. Such works are novel and not obvious to others skilled in the same field. An inventor may be taking a big step in success or failure.

Measuring economic growth

The economic growth rate is calculated from data on GDP estimated by countries' statistical agencies. The rate of growth of GDP per capita is calculated from data on GDP and people for the initial and final periods included in the analysis of the analyst.

Differences between Long-Term Growth between Countries and the Power of Small Changes in Growth

Living standards vary widely from country to country, and furthermore the change in living standards over time varies widely from country to country.

Below is a table which shows GDP per Person and Annualized Per Person GDP growth for a selection of countries over a period of about 100 years. The GDP per Person data are adjusted for inflation, hence they are "Real". GDP per Person (more commonly called "Per Capita" GDP) is the GDP of the entire country divided by the number of people in the country; GDP per Person is conceptually analogous to "Average Income".

Economic Growth by Country [6]
CountryPeriodReal GDP per Person at Beginning of PeriodReal GDP per Person at End of PeriodAnnualized Growth Rate
Japan1890-2008$1,504$35,2202.71%
Brazil1900-2008$779$10,0702.40%
Mexico1900-2008$1,159$14,2702.35%
Germany1870-2008$2,184$35,9402.05%
Canada1870-2008$2,375$36,2201.99%
China1900-2008$716$6,0201.99%
United States1870-2008$4,007$46,9701.80%
Argentina1900-2008$2,293$14,0201.69%
United Kingdom1870-2008$4,808$36,1301.47%
India1900-2008$675$2,9601.38%
Indonesia1900-2008$891$3,8301.36%
Pakistan1900-2008$737$2,7001.21%
Bangladesh1900-2008$623$1,4400.78%

Seemingly small differences in yearly GDP growth lead to large changes in GDP when compounded over time. For instance, in the above table, GDP per Person in the United Kingdom in the year 1870 was $4,808. At the same time in the United States, GDP per Person was $4,007, lower than the United Kingdom by about 20%.

Compound interest when interest is added to the principal of a deposit or loan, so that, from that moment on, the interest that has been added also earns interest

Compound interest is the addition of interest to the principal sum of a loan or deposit, or in other words, interest on interest. It is the result of reinvesting interest, rather than paying it out, so that interest in the next period is then earned on the principal sum plus previously accumulated interest. Compound interest is standard in finance and economics.

However, in 2008 the positions were reversed: GDP per Person was $36,130 in the United Kingdom and $46,970 in the United States, i.e. GDP per Person in the United States was 30% more than it was in the United Kingdom. As the above table shows, this means that GDP per Person grew, on average, by 1.80% per year in the United States and by 1.47% in the United Kingdom.

Thus, a difference in GDP growth by only a few tenths of a percent per year results in large differences in outcomes when the growth is persistent over a generation. This and other observations have lead some economists to view GDP growth as the most important part of the field of Macroeconomics:

Macroeconomics is a branch of economics dealing with the performance, structure, behavior, and decision-making of an economy as a whole. This includes regional, national, and global economies. Macroeconomists study aggregated indicators such as GDP, unemployment rates, national income, price indices, and the interrelations among the different sectors of the economy to better understand how the whole economy functions. They also develop models that explain the relationship between such factors as national income, output, consumption, unemployment, inflation, saving, investment, international trade, and international finance.

...if we can learn about government policy options that have even small effects on long-term growth rates, we can contribute much more to improvements in standards of living than has been provided by the entire history of macroeconomic analysis of countercyclical policy and fine-tuning. Economic growth [is] the part of macroeconomics that really matters. [7]

Determinants of per capita GDP growth

In national income accounting, per capita output can be calculated using the following factors: output per unit of labor input (labor productivity), hours worked (intensity), the percentage of the working age population actually working (participation rate) and the proportion of the working-age population to the total population (demographics). "The rate of change of GDP/population is the sum of the rates of change of these four variables plus their cross products." [8]

Economists distinguish between short-run economic changes in production and long-run economic growth. Short-run variation in economic growth is termed the business cycle . Generally, economists attribute the ups and downs in the business cycle to fluctuations in aggregate demand. In contrast, economic growth is concerned with the long-run trend in production due to structural causes such as technological growth and factor accumulation.

Productivity

Increases in labor productivity (the ratio of the value of output to labor input) have historically been the most important source of real per capita economic growth. [9] [10] [11] [12] [13] "In a famous estimate, MIT Professor Robert Solow concluded that technological progress has accounted for 80 percent of the long-term rise in U.S. per capita income, with increased investment in capital explaining only the remaining 20 percent." [14]

Increases in productivity lower the real cost of goods. Over the 20th century the real price of many goods fell by over 90%. [15]

Economic growth has traditionally been attributed to the accumulation of human and physical capital and the increase in productivity and creation of new goods arising from technological innovation. [16] Further division of labour (specialization) is also fundamental to rising productivity. [17]

Before industrialization technological progress resulted in an increase in the population, which was kept in check by food supply and other resources, which acted to limit per capita income, a condition known as the Malthusian trap. [18] [19] The rapid economic growth that occurred during the Industrial Revolution was remarkable because it was in excess of population growth, providing an escape from the Malthusian trap. [20] Countries that industrialized eventually saw their population growth slow down, a phenomenon known as the demographic transition.

Increases in productivity are the major factor responsible for per capita economic growth – this has been especially evident since the mid-19th century. Most of the economic growth in the 20th century was due to increased output per unit of labor, materials, energy, and land (less input per widget). The balance of the growth in output has come from using more inputs. Both of these changes increase output. The increased output included more of the same goods produced previously and new goods and services. [21]

During the Industrial Revolution, mechanization began to replace hand methods in manufacturing, and new processes streamlined production of chemicals, iron, steel, and other products. [22] Machine tools made the economical production of metal parts possible, so that parts could be interchangeable. [23] See: Interchangeable parts.

During the Second Industrial Revolution, a major factor of productivity growth was the substitution of inanimate power for human and animal labor. Also there was a great increase in power as steam powered electricity generation and internal combustion supplanted limited wind and water power. [22] Since that replacement, the great expansion of total power was driven by continuous improvements in energy conversion efficiency. [24] Other major historical sources of productivity were automation, transportation infrastructures (canals, railroads, and highways), [25] [26] new materials (steel) and power, which includes steam and internal combustion engines and electricity. Other productivity improvements included mechanized agriculture and scientific agriculture including chemical fertilizers and livestock and poultry management, and the Green Revolution. Interchangeable parts made with machine tools powered by electric motors evolved into mass production, which is universally used today. [23]

Productivity lowered the cost of most items in terms of work time required to purchase. Real food prices fell due to improvements in transportation and trade, mechanized agriculture, fertilizers, scientific farming and the Green Revolution. Cost of chicken in time worked.jpg
Productivity lowered the cost of most items in terms of work time required to purchase. Real food prices fell due to improvements in transportation and trade, mechanized agriculture, fertilizers, scientific farming and the Green Revolution.

Great sources of productivity improvement in the late 19th century were railroads, steam ships, horse-pulled reapers and combine harvesters, and steam-powered factories. [27] [28] The invention of processes for making cheap steel were important for many forms of mechanization and transportation. By the late 19th century both prices and weekly work hours fell because less labor, materials, and energy were required to produce and transport goods. However, real wages rose, allowing workers to improve their diet, buy consumer goods and afford better housing. [27]

Mass production of the 1920s created overproduction, which was arguably one of several causes of the Great Depression of the 1930s. [29] Following the Great Depression, economic growth resumed, aided in part by increased demand for existing goods and services, such as automobiles, telephones, radios, electricity and household appliances. New goods and services included television, air conditioning and commercial aviation (after 1950), creating enough new demand to stabilize the work week. [30] The building of highway infrastructures also contributed to post World War II growth, as did capital investments in manufacturing and chemical industries. [31] The post World War II economy also benefited from the discovery of vast amounts of oil around the world, particularly in the Middle East. By John W. Kendrick’s estimate, three-quarters of increase in U.S. per capita GDP from 1889 to 1957 was due to increased productivity. [13]

Economic growth in the United States slowed down after 1973. [32] In contrast growth in Asia has been strong since then, starting with Japan and spreading to Korea, China, the Indian subcontinent and other parts of Asia. In 1957 South Korea had a lower per capita GDP than Ghana, [33] and by 2008 it was 17 times as high as Ghana's. [34] The Japanese economic growth has slackened considerably since the late 1980s.

Productivity in the United States grew at an increasing rate throughout the 19th century and was most rapid in the early to middle decades of the 20th century. [35] [36] [37] [38] [39] US productivity growth spiked towards the end of the century in 1996–2004, due to an acceleration in the rate of technological innovation known as Moore's law. [40] [41] [42] [43] After 2004 U.S. productivity growth returned to the low levels of 1972–96. [40]

Factor accumulation

Capital in economics ordinarily refers to physical capital, which consists of structures (largest component of physical capital) and equipment used in business (machinery, factory equipment, computers and office equipment, construction equipment, business vehicles, medical equipment, etc.). [2] Up to a point increases in the amount of capital per worker are an important cause of economic output growth. Capital is subject to diminishing returns because of the amount that can be effectively invested and because of the growing burden of depreciation. In the development of economic theory the distribution of income was considered to be between labor and the owners of land and capital. [44] In recent decades there have been several Asian countries with high rates of economic growth driven by capital investment. [45]

The work week declined considerably over the 19th century. [46] [47] By the 1920s the average work week in the U.S. was 49 hours, but the work week was reduced to 40 hours (after which overtime premium was applied) as part of the National Industrial Recovery Act of 1933.

Demographic factors may influence growth by changing the employment to population ratio and the labor force participation rate. [9] Industrialization creates a demographic transition in which birth rates decline and the average age of the population increases.

Women with fewer children and better access to market employment tend to join the labor force in higher percentages. There is a reduced demand for child labor and children spend more years in school. The increase in the percentage of women in the labor force in the U.S. contributed to economic growth, as did the entrance of the baby boomers into the workforce. [9] See: Spending wave

Other factors affecting growth

Human capital

Many theoretical and empirical analyses of economic growth attribute a major role to a country's level of human capital, defined as the skills of the population or the work force. Human capital has been included in both neoclassical and endogenous growth models. [48] [49] [50]

A country's level of human capital is difficult to measure, since it is created at home, at school, and on the job. Economists have attempted to measure human capital using numerous proxies, including the population's level of literacy, its level of numeracy, its level of book production/capita, its average level of formal schooling, its average test score on international tests, and its cumulative depreciated investment in formal schooling. The most commonly-used measure of human capital is the level (average years) of school attainment in a country, building upon the data development of Robert Barro and Jong-Wha Lee. [51] This measure is widely used because Barro and Lee provide data for numerous countries in five-year intervals for a long period of time.

One problem with the schooling attainment measure is that the amount of human capital acquired in a year of schooling is not the same at all levels of schooling and is not the same in all countries. This measure also presumes that human capital is only developed in formal schooling, contrary to the extensive evidence that families, neighborhoods, peers, and health also contribute to the development of human capital. Despite these potential limitations, Theodore Breton has shown that this measure can represent human capital in log-linear growth models because across countries GDP/adult has a log-linear relationship to average years of schooling, which is consistent with the log-linear relationship between workers' personal incomes and years of schooling in the Mincer model. [52]

Eric Hanushek and Dennis Kimko introduced measures of students' mathematics and science skills from international assessments into growth analysis. [53] They found that this measure of human capital was very significantly related to economic growth. Eric Hanushek and Ludger Wößmann have extended this analysis. [54] [55] Theodore Breton shows that the correlation between economic growth and students' average test scores in Hanushek and Wößmann's analyses is actually due to the relationship in countries with less than eight years of schooling. He shows that economic growth is not correlated with average scores in more educated countries. [52] Hanushek and Wößmann further investigate whether the relationship of knowledge capital to economic growth is causal. They show that the level of students' cognitive skills can explain the slow growth in Latin America and the rapid growth in East Asia. [56]

Political institutions

“As institutions influence behavior and incentives in real life, they forge the success or failure of nations.” [57]

In economics and economic history, the transition to capitalism from earlier economic systems was enabled by the adoption of government policies that facilitated commerce and gave individuals more personal and economic freedom. These included new laws favorable to the establishment of business, including contract law and laws providing for the protection of private property, and the abolishment of anti-usury laws. [58] [59] When property rights are less certain, transaction costs can increase, hindering economic development. Enforcement of contractual rights is necessary for economic development because it determines the rate and direction of investments. When the rule of law is absent or weak, the enforcement of property rights depends on threats of violence, which causes bias against new firms because they can not demonstrate reliability to their customers. [60]

Much of this literature was built on the success story of the British state that after the Glorious Revolution of 1688 combined high fiscal capacity with constraints on the power of the king generating some respect for the rule of law. [61] [62] [63] [57] However, others have questioned that this institutional formula is not so easily replicable elsewhere as a change in the Constitution—and the type of institutions created by that change—does not necessarily create a change in political power if the economic powers of that society are not aligned with the new set of rule of law institutions. [64] In England, a dramatic increase in the state's fiscal capacity followed the creation of constraints on the crown, but elsewhere in Europe, increases in state capacity happened before major rule of law reforms. [65]

There are many different ways through which states achieved state (fiscal) capacity and this different capacity accelerated or hindered their economic development. Thanks to the underlying homogeneity of its land and people, England was able to achieve a unified legal and fiscal system since the Middle Ages that enabled it to substantially increase the taxes it raised after 1689. [65] On the other hand, the French experience of state building faced much stronger resistance from local feudal powers keeping it legally and fiscally fragmented until the French Revolution despite significant increases in state capacity during the seventeenth century. [66] [67] Furthermore, Prussia and the Habsburg empire—much more heterogeneous states than England—were able to increase state capacity during the eighteenth century without constraining the powers of the executive. [65] Nevertheless, it is unlikely that a country will generate institutions that respect property rights and the rule of law without having had first intermediate fiscal and political institutions that create incentives for elites to support them. Many of these intermediate level institutions relied on informal private-order arrangements that combined with public-order institutions associated with states, to lay the foundations of modern rule of law states. [65]

In many poor and developing countries much land and housing are held outside the formal or legal property ownership registration system. In many urban areas the poor "invade" private or government land to build their houses, so they do not hold title to these properties. Much unregistered property is held in informal form through various property associations and other arrangements. Reasons for extra-legal ownership include excessive bureaucratic red tape in buying property and building. In some countries it can take over 200 steps and up to 14 years to build on government land. Other causes of extra-legal property are failures to notarize transaction documents or having documents notarized but failing to have them recorded with the official agency. [68]

Not having clear legal title to property limits its potential to be used as collateral to secure loans, depriving many poor countries one of their most important potential sources of capital. Unregistered businesses and lack of accepted accounting methods are other factors that limit potential capital. [68]

Businesses and individuals participating in unreported business activity and owners of unregistered property face costs such as bribes and pay-offs that offset much of any taxes avoided. [68]

"Democracy Does Cause Growth", according to Acemoglu et al. Specifically, "democracy increases future GDP by encouraging investment, increasing schooling, inducing economic reforms, improving public goods provision, and reducing social unrest." [69]

According to Daron Acemoglu, Simon Johnson and James Robinson, the positive correlation between high income and cold climate is a by-product of history. Europeans adopted very different colonization policies in different colonies, with different associated institutions. In places where these colonizers faced high mortality rates (e.g., due to the presence of tropical diseases), they could not settle permanently, and they were thus more likely to establish extractive institutions, which persisted after independence; in places where they could settle permanently (e.g. those with temperate climates), they established institutions with this objective in mind and modeled them after those in their European homelands. In these 'neo-Europes' better institutions in turn produced better development outcomes. Thus, although other economists focus on the identity or type of legal system of the colonizers to explain institutions, these authors look at the environmental conditions in the colonies to explain institutions. For instance, former colonies have inherited corrupt governments and geopolitical boundaries (set by the colonizers) that are not properly placed regarding the geographical locations of different ethnic groups, creating internal disputes and conflicts that hinder development. In another example, societies that emerged in colonies without solid native populations established better property rights and incentives for long-term investment than those where native populations were large. [70]

Entrepreneurs and new products

Policymakers and scholars frequently emphasize the importance of entrepreneurship for economic growth. However, surprisingly few research empirically examine and quantify entrepreneurship's impact on growth. This is due to endogeneity - forces that drive economic growth also drive entrepreneurship. In other words, the empirical analysis of the impact of entrepreneurship on growth is difficult because of the joint determination of entrepreneurship and economic growth. A few papers use quasi-experimental designs, and have found that entrepreneurship and the density of small businesses indeed have a causal impact on regional growth. [71] [72]

Another major cause of economic growth is the introduction of new products and services and the improvement of existing products. New products create demand, which is necessary to offset the decline in employment that occurs through labor-saving technology (and to a lesser extent employment declines due to savings in energy and materials). [41] [73] In the US by 2013 about 60% of consumer spending was for goods and services that did not exist in 1869. Also, the creation of new services has been more important than invention of new goods. [74]

Structural Change

Economic growth in the U.S. and other developed countries went through phases that affected growth through changes in the labor force participation rate and the relative sizes of economic sectors. The transition from an agricultural economy to manufacturing increased the size of the sector with high output per hour (the high-productivity manufacturing sector), while reducing the size of the sector with lower output per hour (the lower productivity agricultural sector). Eventually high productivity growth in manufacturing reduced the sector size, as prices fell and employment shrank relative to other sectors. [75] [76] The service and government sectors, where output per hour and productivity growth is low, saw increases in their shares of the economy and employment during the 1990s. [9] The public sector has since contracted, while the service economy expanded in the 2000s.

The structural change could also be viewed from another angle. It is possible to divide real economic growth into two components: an indicator of extensive economic growth—the ‘quantitative’ GDP—and an indicator of the improvement of the quality of goods and services—the ‘qualitative’ GDP [77] .

Growth theories

The Malthusian theory

The Malthusian theory proposes that over most of human history technological progress caused larger population growth but had no impact on income per capita in the long run. According to the theory, while technologically advanced economies over this epoch were characterized by higher population density, their level of income per capita was not different than those among technologically regressed society.

The conceptual foundations of the Malthusian theory were formed by Thomas Malthus, [78] and a modern representation of these approach is provided by Ashraf and Galor. [79] In line with the predictions of the Malthusian theory, a cross-country analysis finds a significant positive effects of the technological level on population density and insignificant effect on income per significantly over the years 1-1500. [79]

Classical growth theory

In classical (Ricardian) economics, the theory of production and the theory of growth are based on the theory or law of variable proportions, whereby increasing either of the factors of production (labor or capital), while holding the other constant and assuming no technological change, will increase output, but at a diminishing rate that eventually will approach zero. These concepts have their origins in Thomas Malthus’s theorizing about agriculture. Malthus's examples included the number of seeds harvested relative to the number of seeds planted (capital) on a plot of land and the size of the harvest from a plot of land versus the number of workers employed. [80] See also Diminishing returns.

Criticisms of classical growth theory are that technology, an important factor in economic growth, is held constant and that economies of scale are ignored. [81]

One popular theory in the 1940s was the big push model, which suggested that countries needed to jump from one stage of development to another through a virtuous cycle, in which large investments in infrastructure and education coupled with private investments would move the economy to a more productive stage, breaking free from economic paradigms appropriate to a lower productivity stage. [82] The idea was revived and formulated rigorously, in the late 1980s by Kevin Murphy, Andrei Shleifer and Robert Vishny. [83]

Solow–Swan model

Robert Solow and Trevor Swan developed what eventually became the main model used in growth economics in the 1950s. [84] [85] This model assumes that there are diminishing returns to capital and labor. Capital accumulates through investment, but its level or stock continually decreases due to depreciation. Due to the diminishing returns to capital, with increases in capital/worker and absent technological progress, economic output/worker eventually reaches a point where capital per worker and economic output/worker remain constant because annual investment in capital equals annual depreciation. This condition is called the 'steady state'.

In the Solow–Swan model if productivity increases through technological progress, then output/worker increases even when the economy is in the steady state. If productivity increases at a constant rate, output/worker also increases at a related steady-state rate. As a consequence, growth in the model can occur either by increasing the share of GDP invested or through technological progress. But at whatever share of GDP invested, capital/worker eventually converges on the steady state, leaving the growth rate of output/worker determined only by the rate of technological progress. As a consequence, with world technology available to all and progressing at a constant rate, all countries have the same steady state rate of growth. Each country has a different level of GDP/worker determined by the share of GDP it invests, but all countries have the same rate of economic growth. Implicitly in this model rich countries are those that have invested a high share of GDP for a long time. Poor countries can become rich by increasing the share of GDP they invest. One important prediction of the model, mostly borne out by the data, is that of conditional convergence; the idea that poor countries will grow faster and catch up with rich countries as long as they have similar investment (and saving) rates and access to the same technology.

The Solow–Swan model is considered an "exogenous" growth model because it does not explain why countries invest different shares of GDP in capital nor why technology improves over time. Instead the rate of investment and the rate of technological progress are exogenous. The value of the model is that it predicts the pattern of economic growth once these two rates are specified. Its failure to explain the determinants of these rates is one of its limitations.

Although the rate of investment in the model is exogenous, under certain conditions the model implicitly predicts convergence in the rates of investment across countries. In a global economy with a global financial capital market, financial capital flows to the countries with the highest return on investment. In the Solow-Swan model countries with less capital/worker (poor countries) have a higher return on investment due to the diminishing returns to capital. As a consequence, capital/worker and output/worker in a global financial capital market should converge to the same level in all countries. [86] Since historically financial capital has not flowed to the countries with less capital/worker, the basic Solow–Swan model has a conceptual flaw. Beginning in the 1990s, this flaw has been addressed by adding additional variables to the model that can explain why some countries are less productive than others and, therefore, do not attract flows of global financial capital even though they have less (physical) capital/worker.

In practice, convergence was rarely achieved. In 1957, Solow applied his model to data from the U.S. gross national product to estimate contributions. This showed that the increase in capital and labor stock only accounted for about half of the output, while population increase adjustments to capital explained eighth. This remaining unaccounted growth out put is known as the Solow Residual. Here the A of (t) “technical progress” was the reason for increased output. Nevertheless, the model still had flaws. It gave no room for policy to influence the growth rate. Few attempts were also made by the RAND Corporation the non-profit think tank and frequently visiting economist Kenneth Arrow to work out the kinks in the model. They suggested that new knowledge was indivisible and that it is endogenous with a certain fixed cost. Arrow’s further explained that new knowledge obtained by firms comes from practice and built a model that "knowledge" accumulated through experience [87] .

According to Harrod, the natural growth rate is the maximum rate of growth allowed by the increase of variables like population growth, technological improvement and growth in natural resources.

In fact, the natural growth rate is the highest attainable growth rate which would bring about the fullest possible employment of the resources existing in the economy.

Endogenous growth theory

Unsatisfied with the assumption of exogenous technological progress in the Solow–Swan model, economists worked to "endogenize" (i.e., explain it "from within" the models) productivity growth in the 1980s; the resulting endogenous growth theory, most notably advanced by Robert Lucas, Jr. and his student Paul Romer, includes a mathematical explanation of technological advancement. [16] [88] This model also incorporated a new concept of human capital, the skills and knowledge that make workers productive. Unlike physical capital, human capital has increasing rates of return. Research done in this area has focused on what increases human capital (e.g. education) or technological change (e.g. innovation). [89]

On Memorial Day weekend in 1988, a conference in Buffalo brought together the great minds in economics the idea was to evaluate the conflicting theories of growth. Romer, Krugman, Barro, Becker were in attendance along many other rising star and high profiled economist of the time. Amongst many papers that day the one that stood out was Romer’s “ Micro Foundations for Aggregate Technological Change.” The Micro Foundation claimed that endogenous technological change had the concept of Intellectual Property imbedded and that knowledge is an input and output of production. Romer argued that outcomes to the national growth rates were significantly affected by public policy, trade activity, and intellectual property. He stressed that cumulative capital and specialization were key, and that not only population growth can increase capital of knowledge, it was human capital that is specifically trained in harvesting new ideas. [90]

One branch of endogenous growth theory was developed on the foundations of the Schumpeterian theory, named after the 20th-century Austrian economist Joseph Schumpeter. [91] The approach explains growth as a consequence of innovation and a process of creative destruction that captures the dual nature of technological progress: in terms of creation, entrepreneurs introduce new products or processes in the hope that they will enjoy temporary monopoly-like profits as they capture markets. In doing so, they make old technologies or products obsolete. This can be seen as an annulment of previous technologies, which makes them obsolete, and "destroys the rents generated by previous innovations". [92] :855 [93] A major model that illustrates Schumpeterian growth is the Aghion–Howitt model. [94] [92]

Unified growth theory

Unified growth theory was developed by Oded Galor and his co-authors to address the inability of endogenous growth theory to explain key empirical regularities in the growth processes of individual economies and the world economy as a whole. [95] [96] Unlike endogenous growth theory that focuses entirely on the modern growth regime and is therefore unable to explain the roots of inequality across nations, unified growth theory captures in a single framework the fundamental phases of the process of development in the course of human history: (i) the Malthusian epoch that was prevalent over most of human history, (ii) the escape from the Malthusian trap, (iii) the emergence of human capital as a central element in the growth process, (iv) the onset of the fertility decline, (v) the origins of the modern era of sustained economic growth, and (vi) the roots of divergence in income per capita across nations in the past two centuries. The theory suggests that during most of human existence, technological progress was offset by population growth, and living standards were near subsistence across time and space. However, the reinforcing interaction between the rate of technological progress and the size and composition of the population has gradually increased the pace of technological progress, enhancing the importance of education in the ability of individuals to adapt to the changing technological environment. The rise in the allocation of resources towards education triggered a fertility decline enabling economies to allocate a larger share of the fruits of technological progress to a steady increase in income per capita, rather than towards the growth of population, paving the way for the emergence of sustained economic growth. The theory further suggests that variations in biogeographical characteristics, as well as cultural and institutional characteristics, have generated a differential pace of transition from stagnation to growth across countries and consequently divergence in their income per capita over the past two centuries. [95] [96]

Inequality and Growth

Theories

The prevailing views about the role of inequality in the growth process has radically shifted in the past century. [97]

The classical perspective, as expressed by Adam Smith, and others, suggests that inequality fosters the growth process. [98] [99] Specifically, since the aggregate saving increases with inequality due to higher property to save among the wealthy, the classical viewpoint suggests that inequality stimulates capital accumulation and therefore economic growth. [100]

The Neoclassical perspective that is based on representative agent approach denies the role of inequality in the growth process. It suggests that the while the growth process may affect inequality, income distribution has no impact on the growth process.

The modern perspective which has emerged in the late 1980s suggests, in contrast, that income distribution has a significant impact on the growth process. The modern perspective, originated by Galor and Zeira, [101] [102] highlights the important role of heterogeneity in the determination of aggregate economic activity, and economic growth. In particular, Galor and Zeira argue that since credit markets are imperfect, inequality has an enduring impact on human capital formation, the level of income per capita, and the growth process. [103] In contrast to the classical paradigm, which underlined the positive implications of inequality for capital formation and economic growth, Galor and Zeira argue that inequality has an adverse effect on human capital formation and the development process, in all but the very poor economies.

Later theoretical developments have reinforced the view that inequality has an adverse effect on the growth process. Specifically, Alesina and Rodrik and Persson and Tabellini advance a political economy mechanism and argue that inequality has a negative impact on economic development since it creates a pressure for distortionary redistributive policies that have an adverse effect on investment and economic growth. [104] [105]

In accordance with the credit market imperfection approach, a study by Roberto Perotti showed that inequality is associated with lower level of human capital formation (education, experience, apprenticeship) and higher level of fertility, while lower level of human capital is associated with lower growth and lower levels of economic growth. In contrast, his examination of the political economy channel found no support for the political economy mechanism. [106] Consequently, the political economy perspective on the relationship between inequality and growth have been revised and later studies have established that inequality may provide an incentive for the elite to block redistributive policies and institutional changes. In particular, inequality in the distribution of land ownership provides the landed elite with an incentive to limit the mobility of rural workers by depriving them from education and by blocking the development of the industrial sector. [107]

A unified theory of inequality and growth that captures that changing role of inequality in the growth process offers a reconciliation between the conflicting predictions of classical viewpoint that maintained that inequality is beneficial for growth and the modern viewpoint that suggests that in the presence of credit market imperfections, inequality predominantly results in under investment in human capital and lower economic growth. This unified theory of inequality and growth, developed by Oded Galor and Omer Moav, [108] suggests that the effect of inequality on the growth process has been reversed as human capital has replaced physical capital as the main engine of economic growth. In the initial phases of industrialization, when physical capital accumulation was the dominating source of economic growth, inequality boosted the development process by directing resources toward individuals with higher propensity to save. However, in later phases, as human capital become the main engine of economic growth, more equal distribution of income, in the presence of credit constraints, stimulated investment in human capital and economic growth.

In 2013, French economist Thomas Piketty postulated that in periods when the average annual rate on return on investment in capital (r) exceeds the average annual growth in economic output (g), the rate of inequality will increase. [109] According to Piketty, this is the case because wealth that is already held or inherited, which is expected to grow at the rate r, will grow at a rate faster than wealth accumulated through labor, which is more closely tied to g. An advocate of reducing inequality levels, Piketty suggests levying a global wealth tax in order to reduce the divergence in wealth caused by inequality.

Evidence: Reduced form

The reduced form empirical relationship between inequality and growth was studied by Alberto Alesina and Dani Rodrik, and Torsten Persson and Guido Tabellini. [104] [105] They find that inequality is negatively associated with economic growth in a cross-country analysis.

Robert Barro reexamined the reduced form relationship between inequality on economic growth in a panel of countries. [110] He argues that there is "little overall relation between income inequality and rates of growth and investment". However, his empirical strategy limits its applicability to the understanding of the relationship between inequality and growth for several reasons. First, his regression analysis control for education, fertility, investment, and it therefore excludes, by construction, the important effect of inequality on growth via education, fertility, and investment. His findings simply imply that inequality has no direct effect on growth beyond the important indirect effects through the main channels proposed in the literature. Second his study analyzes the effect of inequality on the average growth rate in the following 10 years. However, existing theories suggest that the effect of inequality will be observed much later, as is the case in human capital formation, for instance. Third, the empirical analysis does not account for biases that are generated by reverse causality and omitted variables.

Recent papers based on superior data, find negative relationship between inequality and growth. Andrew Berg and Jonathan Ostry of the International Monetary Fund, find that "lower net inequality is robustly correlated with faster and more durable growth, controlling for the level of redistribution". [111] Likewise, Dierk Herzer and Sebastian Vollmer find that increased income inequality reduces economic growth. [112]

Evidence: mechanisms

The Galor and Zeira's model predicts that the effect of rising inequality on GDP per capita is negative in relatively rich countries but positive in poor countries. [101] [102] These testable predictions have been examined and confirmed empirically in recent studies. [113] [114] In particular, Brückner and Lederman test the prediction of the model by in the panel of countries during the period 1970-2010, by considering the impact of the interaction between the level of income inequality and the initial level of GDP per capita. In line with the predictions of the model, they find that at the 25th percentile of initial income in the world sample, a 1 percentage point increase in the Gini coefficient increases income per capita by 2.3%, whereas at the 75th percentile of initial income a 1 percentage point increase in the Gini coefficient decreases income per capita by -5.3%. Moreover, the proposed human capital mechanism that mediate the effect of inequality on growth in the Galor-Zeira model is also confirmed. Increases in income inequality increase human capital in poor countries but reduce it in high and middle-income countries.

This recent support for the predictions of the Galor-Zeira model is in line with earlier findings. Roberto Perotti showed that in accordance with the credit market imperfection approach, developed by Galor and Zeira, inequality is associated with lower level of human capital formation (education, experience, apprenticeship) and higher level of fertility, while lower level of human capital is associated with lower levels of economic growth. [106] Princeton economist Roland Benabou's finds that the growth process of Korea and the Philippines "are broadly consistent with the credit-constrained human-capital accumulation hypothesis". [115] In addition, Andrew Berg and Jonathan Ostry [111] suggest that inequality seems to affect growth through human capital accumulation and fertility channels.

In contrast, Perotti argues that the political economy mechanism is not supported empirically. Inequality is associated with lower redistribution, and lower redistribution (under-investment in education and infrastructure) is associated with lower economic growth. [106]

Importance of long-run growth

Over long periods of time, even small rates of growth, such as a 2% annual increase, have large effects. For example, the United Kingdom experienced a 1.97% average annual increase in its inflation-adjusted GDP between 1830 and 2008. [116] In 1830, the GDP was 41,373 million pounds. It grew to 1,330,088 million pounds by 2008. A growth rate that averaged 1.97% over 178 years resulted in a 32-fold increase in GDP by 2008.

The large impact of a relatively small growth rate over a long period of time is due to the power of exponential growth. The rule of 72, a mathematical result, states that if something grows at the rate of x% per year, then its level will double every 72/x years. For example, a growth rate of 2.5% per annum leads to a doubling of the GDP within 28.8 years, whilst a growth rate of 8% per year leads to a doubling of GDP within 9 years. Thus, a small difference in economic growth rates between countries can result in very different standards of living for their populations if this small difference continues for many years.

Quality of life

One theory that relates economic growth with quality of life is the "Threshold Hypothesis", which states that economic growth up to a point brings with it an increase in quality of life. But at that point – called the threshold point – further economic growth can bring with it a deterioration in quality of life. [117] This results in an upside-down-U-shaped curve, where the vertex of the curve represents the level of growth that should be targeted. Happiness has been shown to increase with a higher GDP ''per capita'', at least up to a level of $15,000 per person. [118]

Economic growth has the indirect potential to alleviate poverty, as a result of a simultaneous increase in employment opportunities and increased labor productivity. [119] A study by researchers at the Overseas Development Institute (ODI) of 24 countries that experienced growth found that in 18 cases, poverty was alleviated. [119]

In some instances, quality of life factors such as healthcare outcomes and educational attainment, as well as social and political liberties, do not improve as economic growth occurs. [120] [ dubious ]

Productivity increases do not always lead to increased wages, as can be seen in the United States, where the gap between productivity and wages has been rising since the 1980s. [119]

Equitable growth

While acknowledging the central role economic growth can potentially play in human development, poverty reduction and the achievement of the Millennium Development Goals, it is becoming widely understood amongst the development community that special efforts must be made to ensure poorer sections of society are able to participate in economic growth. [121] [122] [123] The effect of economic growth on poverty reduction – the growth elasticity of poverty – can depend on the existing level of inequality. [124] [125] For instance, with low inequality a country with a growth rate of 2% per head and 40% of its population living in poverty, can halve poverty in ten years, but a country with high inequality would take nearly 60 years to achieve the same reduction. [126] [127] In the words of the Secretary General of the United Nations Ban Ki-Moon: "While economic growth is necessary, it is not sufficient for progress on reducing poverty." [121]

Environmental impact

Critics such as the Club of Rome argue that a narrow view of economic growth, combined with globalization, is creating a scenario where we could see a systemic collapse of our planet's natural resources. [128] [129]

The marginal costs of a growing economy may gradually exceed the marginal benefits, however measured. Uneconomic Growth diagram.jpg
The marginal costs of a growing economy may gradually exceed the marginal benefits, however measured.

Concerns about negative environmental effects of growth have prompted some people to advocate lower levels of growth, or the abandoning of growth altogether. In academia, concepts like uneconomic growth, steady-state economy and degrowth have been developed in order to achieve this. In politics, green parties embrace the Global Greens Charter, recognising that "... the dogma of economic growth at any cost and the excessive and wasteful use of natural resources without considering Earth's carrying capacity, are causing extreme deterioration in the environment and a massive extinction of species." [130] :2

Those more optimistic about the environmental impacts of growth believe that, though localized environmental effects may occur, large-scale ecological effects are minor. The argument, as stated by commentator Julian Lincoln Simon, states that if these global-scale ecological effects exist, human ingenuity will find ways to adapt to them. [131]

Global warming

Up to the present, there is a close correlation between economic growth and the rate of carbon dioxide emissions across nations, although there is also a considerable divergence in carbon intensity (carbon emissions per GDP). [132] Up to the present, there is also a direct relation between global economic wealth and the rate of global emissions. [133] The Stern Review notes that the prediction that, "Under business as usual, global emissions will be sufficient to propel greenhouse gas concentrations to over 550 ppm CO
2
by 2050 and over 650–700 ppm by the end of this century is robust to a wide range of changes in model assumptions." The scientific consensus is that planetary ecosystem functioning without incurring dangerous risks requires stabilization at 450–550 ppm. [134]

As a consequence, growth-oriented environmental economists propose government intervention into switching sources of energy production, favouring wind, solar, hydroelectric, and nuclear. This would largely confine use of fossil fuels to either domestic cooking needs (such as for kerosene burners) or where carbon capture and storage technology can be cost-effective and reliable. [135] The Stern Review, published by the United Kingdom Government in 2006, concluded that an investment of 1% of GDP (later changed to 2%) would be sufficient to avoid the worst effects of climate change, and that failure to do so could risk climate-related costs equal to 20% of GDP. Because carbon capture and storage are as yet widely unproven, and its long term effectiveness (such as in containing carbon dioxide 'leaks') unknown, and because of current costs of alternative fuels, these policy responses largely rest on faith of technological change.

British conservative politician and journalist Nigel Lawson has deemed carbon emission trading an 'inefficient system of rationing'. Instead, he favours carbon taxes to make full use of the efficiency of the market. However, in order to avoid the migration of energy-intensive industries, the whole world should impose such a tax, not just Britain, Lawson pointed out. There is no point in taking the lead if nobody follows suit. [136]

Resource constraint

Many earlier predictions of resource depletion, such as Thomas Malthus' 1798 predictions about approaching famines in Europe, The Population Bomb (1968), [137] [138] and the Simon–Ehrlich wager (1980) [139] have not materialized. Diminished production of most resources has not occurred so far, one reason being that advancements in technology and science have allowed some previously unavailable resources to be produced. [139] In some cases, substitution of more abundant materials, such as plastics for cast metals, lowered growth of usage for some metals. In the case of the limited resource of land, famine was relieved firstly by the revolution in transportation caused by railroads and steam ships, and later by the Green Revolution and chemical fertilizers, especially the Haber process for ammonia synthesis. [140] [141]

Resource quality is composed of a variety of factors including ore grades, location, altitude above or below sea level, proximity to railroads, highways, water supply and climate. These factors affect the capital and operating cost of extracting resources. In the case of minerals, lower grades of mineral resources are being extracted, requiring higher inputs of capital and energy for both extraction and processing. Copper ore grades have declined significantly over the last century. [142] [143] Another example is natural gas from shale and other low permeability rock, which can be developed with much higher inputs of energy, capital, and materials than conventional gas in previous decades. Offshore oil and gas have exponentially increased cost as water depth increases.

Some physical scientists like Sanyam Mittal regard continuous economic growth as unsustainable. [144] [145] Several factors may constrain economic growth – for example: finite, peaked, or depleted resources.

In 1972, The Limits to Growth study modeled limitations to infinite growth; originally ridiculed, [137] [138] [146] . [147] [148] [149]

Malthusians such as William R. Catton, Jr. are skeptical of technological advances that improve resource availability. Such advances and increases in efficiency, they suggest, merely accelerate the drawing down of finite resources. Catton claims that increasing rates of resource extraction are "...stealing ravenously from the future". [150]

Energy

Energy economic theories hold that rates of energy consumption and energy efficiency are linked causally to economic growth. The Garrett Relation holds that there has been a fixed relationship between historical rates of global energy consumption and the historical accumulation of global economic wealth. [151] Increases in energy efficiency were a portion of the increase in Total factor productivity. [13] Some of the most technologically important innovations in history involved increases in energy efficiency. These include the great improvements in efficiency of conversion of heat to work, the reuse of heat, the reduction in friction and the transmission of power, especially through electrification. [152] [153] "Electricity consumption and economic growth are strongly correlated". [154] "Per capita electric consumption correlates almost perfectly with economic development." [155]

See also

Related Research Articles

Capital intensity is the amount of fixed or real capital present in relation to other factors of production, especially labor. At the level of either a production process or the aggregate economy, it may be estimated by the capital to labor ratio, such as from the points along a capital/labor isoquant.

Productivity describes various measures of the efficiency of production. A productivity measure is expressed as the ratio of output to inputs used in a production process, i.e. output per unit of input. Productivity is a crucial factor in production performance of firms and nations. Increasing national productivity can raise living standards because more real income improves people's ability to purchase goods and services, enjoy leisure, improve housing and education and contribute to social and environmental programs. Productivity growth can also help businesses to be more profitable. There are many different definitions of productivity and the choice among them depends on the purpose of the productivity measurement and/or data availability.

The idea of convergence in economics is the hypothesis that poorer economies' per capita incomes will tend to grow at faster rates than richer economies. As a result, all economies should eventually converge in terms of per capita income. Developing countries have the potential to grow at a faster rate than developed countries because diminishing returns are not as strong as in capital-rich countries. Furthermore, poorer countries can replicate the production methods, technologies, and institutions of developed countries.

Kuznets curve empirical relationship between economic development and inequality level

In economics, a Kuznets curve graphs the hypothesis that as an economy develops, market forces first increase and then decrease economic inequality. The hypothesis was first advanced by economist Simon Kuznets in the 1950s and '60s.

A technical change is a term used in economics to describe a change in the amount of output produced from the same amount of inputs. A technical change is not necessarily technological as it might be organizational, or due to a change in a constraint such as regulation, input prices, or quantities of inputs.

The Solow residual is a number describing empirical productivity growth in an economy from year to year and decade to decade. Robert Solow, the Nobel Memorial Prize in Economic Sciences-winning economist, defined rising productivity as rising output with constant capital and labor input. It is a "residual" because it is the part of growth that is not accounted for by measures of capital accumulation or increased labor input. Increased physical throughput – i.e. environmental resources – is specifically excluded from the calculation; thus some portion of the residual can be ascribed to increased physical throughput. The example used is for the intracapital substitution of aluminium fixtures for steel during which the inputs do not alter. This differs in almost every other economic circumstance in which there are many other variables. The Solow Residual is procyclical and measures of it are now called the rate of growth of multifactor productivity or total factor productivity, though Solow (1957) did not use these terms.

The Solow–Swan model is an economic model of long-run economic growth set within the framework of neoclassical economics. It attempts to explain long-run economic growth by looking at capital accumulation, labor or population growth, and increases in productivity, commonly referred to as technological progress. At its core is a neoclassical (aggregate) production function, often specified to be of Cobb–Douglas type, which enables the model "to make contact with microeconomics". The model was developed independently by Robert Solow and Trevor Swan in 1956, and superseded the Keynesian Harrod–Domar model.

The Harrod–Domar model is a classical Keynesian model of economic growth. It is used in development economics to explain an economy's growth rate in terms of the level of saving and productivity of capital. It suggests that there is no natural reason for an economy to have balanced growth. The model was developed independently by Roy F. Harrod in 1939, and Evsey Domar in 1946, although a similar model had been proposed by Gustav Cassel in 1924. The Harrod–Domar model was the precursor to the exogenous growth model.

Development theory

Development theory is a collection of theories about how desirable change in society is best achieved. Such theories draw on a variety of social science disciplines and approaches. In this article, multiple theories are discussed, as are recent developments with regard to these theories. Depending on which theory that is being looked at, there are different explanations to the process of development and their inequalities

Malthusian trap

The Malthusian trap or population trap is a condition whereby excess population would stop growing due to shortage of food supply leading to starvation. It is named for Thomas Robert Malthus, who suggested that while technological advances could increase a society's supply of resources, such as food, and thereby improve the standard of living, the resource abundance would enable population growth, which would eventually bring the per capita supply of resources back to its original level. Some economists contend that since the industrial revolution, mankind has broken out of the trap. Others argue that the continuation of extreme poverty indicates that the Malthusian trap continues to operate. Others further argue that due to lack of food availability coupled with excessive pollution, developing countries show more evidence of the trap.

Oded Galor Israeli economist

Oded Galor is an Israeli economist who is currently Herbert H. Goldberger Professor of Economics at Brown University. He is the founder of unified growth theory. Galor has contributed to the understanding of process of development over the entire course of human history and the role of deep-rooted factors in the transition from stagnation to growth and in the emergence of the vast inequality across the globe. Moreover, he has pioneered the exploration of the impact of human evolution, population diversity, and inequality on the process of development over most of human existence.

Economic impact of HIV/AIDS

HIV and AIDS affects economic growth by reducing the availability of human capital. Without proper prevention, nutrition, health care and medicine that is available in developing countries, large numbers of people are falling victim to AIDS.

Unified growth theory was developed in light of the failure of endogenous growth theory to capture key empirical regularities in the growth processes and their contribution to the momentous rise in inequality across nations in the past two centuries. Unlike earlier growth theories that have focused entirely on the modern growth regime, unified growth theory captures the growth process over the entire course of human existence, highlighting the critical role of the differential timing of the transition from Malthusian stagnation to sustained economic growth in the emergence of inequality across countries and regions.

The balanced growth theory is an economic theory pioneered by the economist Ragnar Nurkse (1907–1959). The theory hypothesises that the government of any underdeveloped country needs to make large investments in a number of industries simultaneously. This will enlarge the market size, increase productivity, and provide an incentive for the private sector to invest.

The low-level equilibrium trap is a concept in economics developed by Richard R. Nelson, in which at low levels of per capita income people are too poor to save and invest much, and this low level of investment results in low rate of growth in national income. As per capita income rises above a certain minimum level at which there is zero saving, a rising proportion of income will be saved and invested and this will lead to higher rate of growth in income.

The Galor-Zeira model is the first macroeconomic model to explore the role of heterogeneity in the determination of macroeconomic behavior. In contrast to the representative agent approach that dominated the field of macroeconomics till the early 1990s and argued that heterogeneity has no impact on macroeconomic activity, the model demonstrates that in the presence of capital markets imperfections and local non-convexities in the production of human capital, income distribution affects the long run level of income per-capita as well as the growth process. 

Effects of economic inequality

Effects of inequality researchers have found include higher rates of health and social problems, and lower rates of social goods, a lower population-wide satisfaction and happiness and even a lower level of economic growth when human capital is neglected for high-end consumption. For the top 21 industrialised countries, counting each person equally, life expectancy is lower in more unequal countries. A similar relationship exists among US states.

Joseph Zeira is an Israeli economist. His main work is in macroeconomics, in economic growth and in the economy of Israel. He is the Aaron and Michael Chilewich Professor of Economics at the Hebrew University of Jerusalem.

References

  1. Statistics on the Growth of the Global Gross Domestic Product (GDP) from 2003 to 2013, IMF, October 2012.
  2. 1 2 Bjork 1999 , p. 251
  3. Bjork 1999 , p. 67
  4. Bjork, Gordon J. (1999). The Way It Worked and Why It Won't: Structural Change and the Slowdown of U.S. Economic Growth. Westport, CT; London: Praeger. pp. 2, 67. ISBN   978-0-275-96532-7.
  5. Gordon, Robert J. (2016). The Rise and Fall of American Growth. Princeton, NJ USA: Princeton University Press. p. 38. ISBN   978-0-691-14772-7.In the U.S. about 60% of consumer spending in 2103 was for goods that did not exist in 1869.
  6. Mankiw, Gregory (2011). Principles of Macroeconomics 6th ed. p. 236. ISBN   978-0538453066.
  7. Barro, Robert; Sala-i-Martin, Xavier (2004). Economic Growth 2nd ed. p. 6. ASIN   B003Q7WARA.
  8. Bjork 1999 , p. 68
  9. 1 2 3 4 Bjork 1999
  10. Roubini, Nouriel; Backus, David (1998). "Productivity and Growth". Lectures in Macroeconomics.
  11. Wang, Ping (2014). "Growth Accounting" (PDF). p. 2. Archived from the original (PDF) on 2014-07-15.
  12. Corry, Dan; Valero, Anna; Van Reenen, John (Nov 2011). "UK Economic Performance Since 1997" (PDF)<" The UK‟s high GDP per capita growth was driven by strong growth in productivity (GDP per hour), which was second only to the US .">
  13. 1 2 3 Kendrick, John W. (1961). Productivity Trends in the United States (PDF). Princeton University Press for NBER. p. 3.
  14. Krugman, Paul (1994). "The Myth of Asia's Miracle". Foreign Affairs. 73 (6): 62–78. doi:10.2307/20046929. JSTOR   20046929.
  15. Rosenberg, Nathan (1982). Inside the Black Box: Technology and Economics. Cambridge, New York: Cambridge University Press. p. 258. ISBN   978-0-521-27367-1.
  16. 1 2 Lucas, R. E. (1988). "On the Mechanics of Economic Development". Journal of Monetary Economics . 22 (1): 3–42. doi:10.1016/0304-3932(88)90168-7.
  17. Reisman, George (1998). Capitalism: A complete understanding of the nature and value of human economic life. Jameson Books. ISBN   0-915463- 73-3.
  18. Galor, Oded (2005). "From Stagnation to Growth: Unified Growth Theory". Handbook of Economic Growth. 1. Elsevier. pp. 171–293.
  19. Clark, Gregory (2007). A Farewell to Alms: A Brief Economic History of the World. Princeton University Press. ISBN   978-0-691-12135-2Part I: The Malthusian Trap
  20. Clark 2007 , pp. Part 2: The Industrial Revolution
  21. Kendrick, J. W. 1961 "Productivity trends in the United States," Princeton University Press
  22. 1 2 Landes, David. S. (1969). The Unbound Prometheus: Technological Change and Industrial Development in Western Europe from 1750 to the Present. Cambridge, New York: Press Syndicate of the University of Cambridge. ISBN   978-0-521-09418-4.
  23. 1 2 Hounshell, David A. (1984), From the American System to Mass Production, 1800-1932: The Development of Manufacturing Technology in the United States, Baltimore, Maryland: Johns Hopkins University Press, ISBN   978-0-8018-2975-8, LCCN   83016269
  24. Ayres, Robert U.; Warr, Benjamin (2004). "Accounting for Growth: The Role of Physical Work" (PDF). . Archived from the original (PDF) on 2017-01-16. Retrieved 2012-06-24.
  25. Grubler, Arnulf (1990). The Rise and Fall of Infrastructures (PDF).
  26. Taylor, George Rogers (1951). The Transportation Revolution, 1815–1860. ISBN   978-0873321013.
  27. 1 2 Wells, David A. (1890). Recent Economic Changes and Their Effect on Production and Distribution of Wealth and Well-Being of Society. New York: D. Appleton and Co. ISBN   978-0543724748.
  28. Atack, Jeremy; Passell, Peter (1994). A New Economic View of American History. New York: W.W. Norton and Co. ISBN   978-0-393-96315-1.
  29. Beaudreau, Bernard C. (1996). Mass Production, the Stock Market Crash and the Great Depression. New York, Lincoln, Shanghi: Authors Choice Press.
  30. Moore, Stephen; Simon, Julian (December 15, 1999). "The Greatest Century That Ever Was: 25 Miraculous Trends of the last 100 Years" (PDF). Policy Analysis, No. 364. The Cato Institute. Diffusion curves for various innovations start at Fig. 14
  31. Field, Alexander J. (2011). A Great Leap Forward: 1930s Depression and U.S. Economic Growth. New Haven, London: Yale University Press. ISBN   978-0-300-15109-1.
  32. St. Louis Federal Reserve Real GDP per capita in the U.S. rose from $17,747 in 1960 to $26,281 in 1973 for a growth rate of 3.07%/yr. Calculation: (26,281/17,747)^(1/13). From 1973 to 2007 the growth rate was 1.089%. Calculation: (49,571/26,281)^(1/34) From 2000 to 2011 average annual growth was 0.64%.
  33. Leading article: Africa has to spend carefully. The Independent. July 13, 2006.
  34. Data refer to the year 2008. $26,341 GDP for Korea, $1513 for Ghana. World Economic Outlook Database – October 2008. International Monetary Fund.
  35. Kendrick, John (1991). "U.S. Productivity Performance in Perspective, Business Economics, October 1, 1991". Business Economics. 26 (4): 7–11. JSTOR   23485828.
  36. Field, Alezander J. (2007). "U.S. Economic Growth in the Gilded Age, Journal of Macroeconomics 31" (PDF): 173–90.
  37. Field, Alexander (2004). "Technological Change and Economic Growth the Interwar Years and the 1990s". SSRN   1105634 .
  38. Gordon, Robert J. (June 2000). "Interpreting the 'One Big Wave' in U.S. Long Term Productivity Growth". NBER Working Paper No. 7752. doi:10.3386/w7752.
  39. Abramovitz, Moses; David, Paul A. (2000). Two Centuries of American Macroeconomic Growth From Exploitation of Resource Abundance to Knowledge-Driven Development (PDF). Stanford University. pp. 24–5 (pdf pp. 28–9).
  40. 1 2 Gordon, Robert J. (Spring 2013). "U.S. Productivity Growth: The Slowdown Has Returned After a Temporary Revival" (PDF). International Productivity Monitor, Centre for the Study of Living Standards. 25: 13–9. Archived from the original (PDF) on 2014-08-09. Retrieved 2014-07-19. The U.S. economy achieved a growth rate of labour productivity of 2.48 per cent per year for 81 years, followed by 24 years of 1.32 per cent, then a temporary recovery back to 2.48 per cent per cent, and a final slowdown to 1.35 per cent. The similarity of the growth rates in 1891–1972 with 1996–2004, and of 1972–96 with 1996–2011 is quite remarkable.
  41. 1 2 Dale W. Jorgenson; Mun S. Ho; Jon D. Samuels (2014). "Long-term Estimates of U.S. Productivity and Growth" (PDF). World KLEMS Conference. Retrieved 2014-05-27.
  42. Dale W. Jorgenson; Mun S. Ho; Kevin J. Stiroh (2008). "A Retrospective Look at the U.S. Productivity Growth Resurgence". Journal of Economic Perspectives. 22 (1): 3–24. doi:10.1257/jep.22.1.3.
  43. Bruce T. Grimm; Brent R. Moulton; David B. Wasshausen (2002). "Information Processing Equipment and Software in the National Accounts" (PDF). U.S. Department of Commerce Bureau of Economic Analysis. Retrieved 2014-05-15.
  44. Hunt, E. K.; Lautzenheiser, Mark (2014). History of Economic Thought: A Critical Perspective. PHI Learning. ISBN   978-0765625991.
  45. Krugman, Paul (1994). "The Myth of Asia's Miracle". Foreign Affairs. 73 (6): 62–78. doi:10.2307/20046929. JSTOR   20046929.
  46. "Hours of Work in U.S. History". 2010. Archived from the original on 2011-10-26.
  47. Whaples, Robert (June 1991). "The Shortening of the American Work Week: An Economic and Historical Analysis of Its Context, Causes, and Consequences". The Journal of Economic History. 51 (2): 454–7. doi:10.1017/s0022050700039073.
  48. Mankiw, N. Gregory; Romer, David; Weil, David (1992). "A Contribution to the Empirics of Economic Growth". Quarterly Journal of Economics . 107 (2): 407–37. CiteSeerX   10.1.1.335.6159 . doi:10.2307/2118477. JSTOR   2118477.
  49. Sala-i-Martin, Xavier; Doppelhofer, Gernot; Miller, Ronald I. (2004). "Determinants of Long-term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach". American Economic Review . 94 (4): 813–35. doi:10.1257/0002828042002570.
  50. Romer, Paul (1990). "Human Capital and Growth: Theory and Evidence". Carnegie-Rochester Conference Series on Public Policy. 32: 251–86. doi:10.1016/0167-2231(90)90028-J.
  51. Barro, Robert J.; Lee, Jong-Wha (2001). "International Data on Educational Attainment: Updates and Implications". Oxford Economic Papers. 53 (3): 541–63. doi:10.1093/oep/53.3.541.
  52. 1 2 Breton, Theodore R. (2015). "Higher Test Scores or More Schooling? Another Look at the Causes of Economic Growth" (PDF). Journal of Human Capital . 9 (2): 239–63. doi:10.1086/681911.
  53. Hanushek, Eric A.; Kimko, Dennis D. (2000). "Schooling, Labor Force Quality, and the Growth of Nations". American Economic Review. 90 (5): 1184–208. CiteSeerX   10.1.1.232.7942 . doi:10.1257/aer.90.5.1184.
  54. Hanushek, Eric A.; Woessmann, Ludger (2008). "The Role of Cognitive Skills in Economic Development". Journal of Economic Literature. 46 (3): 607–68. CiteSeerX   10.1.1.507.5325 . doi:10.1257/jel.46.3.607.
  55. Hanushek, Eric A.; Woessmann, Ludger (2011). "How Much Do Educational Outcomes Matter in OECD Countries?". Economic Policy. 26 (67): 427–91. doi:10.1111/j.1468-0327.2011.00265.x.
  56. Hanushek, Eric; Woessmann, Ludger (2015). The Knowledge Capital of Nations: Education and the Economics of Growth. MIT Press. ISBN   978-0-262-02917-9.
  57. 1 2 Acemoglu, Daron; Robinson, James A. (2012). Why Nations Fail: The Origins of Power, Prosperity, and Poverty. United States: Crown Business division of Random House. p. 43. ISBN   978 0 307 71922 5.
  58. Hunt, E. K.; Lautzenheiser, Mark (2014). History of Economic Thought: A Critical Perspective. PHI Learning. ISBN   978-0765625991.
  59. Landes, David. S. (1969). The Unbound Prometheus: Technological Change and Industrial Development in Western Europe from 1750 to the Present. Cambridge, New York: Press Syndicate of the University of Cambridge. pp. 8–18. ISBN   978-0-521-09418-4.
  60. Li, Rita Yi Man; Li, Yi Lut (2013). "Is There a Positive Relationship between Law and Economic Growth? A Paradox in China". Asian Social Science. 9 (9): 19–30. doi:10.5539/ass.v9n9p19. SSRN   2290481 .
  61. North, Douglass C.; Weingast, Barry (1989). "Constitutions and Commitment: the Evolutions of Institutions Governing Public Choice in Seventeenth Century England". Journal of Economic History. 49 (4): 803–32. doi:10.1017/S0022050700009451.
  62. Barker, J. H. (1995). "Personal Liberty under Common Law of England, 1200–1600". In Davis, R. W. (ed.). The Origins of Modern Freedom in the West. Stanford: Stanford University Press. pp. 178–202. ISBN   978-0-8047-2474-6.
  63. Acemolgu, Daron; Johnson, Simon; Robinson, James A. (2005). "Institutions as a Fundamental Cause of Long-Run Growth". In Aghion, Philippe; Durlauf, Steven (eds.). Handbook of Economic Growth. Volume 1, Part A. Elsevier. pp. 385–472. doi:10.1016/S1574-0684(05)01006-3. ISBN   9780444520418.
  64. Rajan, R.; Zingales, L. (2003). Saving Capitalism from the Capitalists. New York: Random House. ISBN   978-0-7126-2131-1.
  65. 1 2 3 4 Johnson, Noel D.; Koyama, Mark (2017). "States and Economic Growth: Capacity and Constraints". Explorations in Economic History. 64: 1–20. doi:10.1016/j.eeh.2016.11.002.
  66. Johnson, Noel D. (2006). "Banking on the King: The Evolution of the Royal Revenue Farms in Old Regime France". Journal of Economic History. 66 (4): 963–991. doi:10.1017/S0022050706000398.
  67. Johnson, Noel D.; Koyama, Mark (2014). "Tax Farming and the Origins of State Capacity in England and France". Explorations in Economic History. 51 (1): 1–20. doi:10.1016/j.eeh.2013.07.005.
  68. 1 2 3 De Soto, Hernando (2000). The Mystery of Capital: Why Capitalism Triumphs in the West and Fails Everywhere Else. Basic Books. ISBN   978-0465016143.
  69. Acemoglu, Daron; Naidu, Suresh; Restrepo, Pascual; Robinson, James A. (March 2014). "Democracy Does Cause Growth". NBER Working Paper No. 20004. doi:10.3386/w20004.
  70. Acemoglu, Daron; Johnson, Simon; Robinson, James A. (2001). "The Colonial Origins of Comparative Development: An Empirical Investigation". American Economic Review . 91 (5): 1369–401. CiteSeerX   10.1.1.313.7172 . doi:10.1257/aer.91.5.1369.
  71. Lee, Yong Suk (2016-07-28). "Entrepreneurship, small businesses and economic growth in cities". Journal of Economic Geography. 17 (2): 311–343. doi:10.1093/jeg/lbw021.
  72. Lee, Yong Suk (2018). "Government guaranteed small business loans and regional growth". Journal of Business Venturing. 33: 70–83. doi:10.1016/j.jbusvent.2017.11.001.
  73. Ayres, Robert (1989). "Technological Transformations and Long Waves" (PDF): 9<Attributed to Mensch who described new products as "demand creating".>
  74. Gordon, Robert J. (2016). The Rise and Fall of American Growth. Princeton, NJ USA: Princeton University Press. p. 39. ISBN   978-0-691-14772-7.
  75. "Manufacturing's declining share of GDP is a global phenomenon, and it's something to celebrate". U.S. Chamber of Commerce Foundation.
  76. "All Employees: Manufacturing".
  77. Kuprianov, Alexey (2018-04-30). "Decomposition of GDP. The Role of Quality of Goods and Services in Measuring Economic Growth". Rochester, NY.
  78. Malthus, Thomas R. (1798). Gilbert, Geoffrey (ed.). An Essay on the Principle of Population. Oxford: Oxford University Press (published 1999).
  79. 1 2 Quamrul, Ashraf; Galor, Oded (2011). "Dynamics and Stagnation in the Malthusian Epoch". American Economic Review. 101 (5): 2003–2041. doi:10.1257/aer.101.5.2003. PMC   4262154 . PMID   25506082.
  80. Bjork 1999 , pp. 297–8
  81. Bjork 1999 , p. 298
  82. Paul Rosenstein-Rodan [ specify ]
  83. Murphy, Kevin M.; Shleifer, Andrei; Vishny, Robert W. (1989). "Industrialization and the Big Push". Journal of Political Economy . 97 (5): 1003–1026. CiteSeerX   10.1.1.538.3040 . doi:10.1086/261641.
  84. Solow, Robert M. (1956). "A Contribution to the Theory of Economic Growth". Quarterly Journal of Economics. 70 (1): 65–94. doi:10.2307/1884513. JSTOR   1884513.
  85. Swan, Trevor W. (1956). "Economic Growth and Capital Accumulation'". Economic Record. 32 (2): 334–61. doi:10.1111/j.1475-4932.1956.tb00434.x.
  86. Lucas, Robert E. (1990). "Why Doesn't Capital Flow from Rich to Poor Countries?". American Economic Review. 80 (2): 92–6. JSTOR   2006549.
  87. Warsh, David. Knowledge and the Wealth of Nations. W.W. Norton & Company 2006
  88. Romer, Paul (1986). "Increasing Returns and Long-Run Growth". Journal of Political Economy . 94 (5): 1002–1037. CiteSeerX   10.1.1.589.3348 . doi:10.1086/261420.
  89. Helpman, Elhanah (2004). The Mystery of Economic Growth. Harvard University Press. ISBN   978-0-674-01572-2.
  90. Warsh, David. Knowledge and the Wealth of Nations: A Story of Economic Discovery. W.W. Norton & Company, 2006.
  91. Landreth, Harry (1976). History of Economic Theory : Scope, Method, and Content. Boston: Houghton Mifflin. pp. 478–480. ISBN   978-0-395-19234-4.
  92. 1 2 Aghion, Philippe (2002). "Schumpeterian Growth Theory and the Dynamics of Income Inequality". Econometrica . 70 (3): 855–82. CiteSeerX   10.1.1.458.7383 . doi:10.1111/1468-0262.00312.
  93. Also see Carlin, Wendy; Soskice, David (2006). "Endogenous and Schumpeterian Growth". Macroeconomics: Imperfections, Institutions and Policies. Oxford University Press. pp. 529–60. ISBN   978-0-19-877622-2.
  94. Aghion, Philippe; Howitt, Peter (1992). "A Model of Growth Through Creative Destruction". Econometrica . 60 (2): 323–51. doi:10.2307/2951599. JSTOR   2951599.
  95. 1 2 Galor, Oded (2011). Unified Growth Theory. Princeton: Princeton University Press.
  96. 1 2 Galor O., 2005, "From Stagnation to Growth: Unified Growth Theory". Handbook of Economic Growth, Elsevier doi : 10.1016/S1574-0684(05)01004-X
  97. Galor, Oded (2011). "Inequality, Human Capital Formation, and the Process of Development". Handbook of the Economics of Education. Elsevier.
  98. Berg, Andrew G.; Ostry, Jonathan D. (2011). "Equality and Efficiency". Finance and Development. International Monetary Fund. 48 (3). Retrieved July 13, 2014.
  99. Berg, Andrew; Ostry, Jonathan (2017). "Inequality and Unsustainable Growth: Two Sides of the Same Coin". IMF Economic Review. 65 (4): 792–815. doi:10.1057/s41308-017-0030-8.
  100. Kaldor, Nicoals (1955). "Alternative Theories of Distribution". Review of Economic Studies. 23 (2): 83–100. doi:10.2307/2296292. JSTOR   2296292.
  101. 1 2 Galor, Oded; Zeira, Joseph (1993). "Income Distribution and Macroeconomics". The Review of Economic Studies. 60 (1): 35–52. CiteSeerX   10.1.1.636.8225 . doi:10.2307/2297811. JSTOR   2297811.
  102. 1 2 Galor, Oded; Zeira, Joseph (1988). "Income Distribution and Investment in Human Capital: Macroeconomics Implications". Working Paper No. 197 (Department of Economics, Hebrew University).
  103. The World Bank Group (1999). "The Effect of Distribution on Growth" (PDF).
  104. 1 2 Alesina, Alberto; Rodrik, Dani (1994). "Distributive Politics and Economic Growth". Quarterly Journal of Economics. 109 (2): 65–90. doi:10.2307/2118470. JSTOR   2118470.
  105. 1 2 Persson, Torsten; Tabellini, Guido (1994). "Is Inequality Harmful for Growth?". American Economic Review. 84 (3): 600–21. JSTOR   2118070.
  106. 1 2 3 Perotti, Roberto (1996). "Growth, Income Distribution, and Democracy: What the Data Say". Journal of Economic Growth. 1 (2): 149–87. doi:10.1007/BF00138861.
  107. Galor, Oded; Moav, Omer; Vollrath, Dietrich (2009). "Inequality in Landownership, the Emergence of Human-Capital Promoting Institutions, and the Great Divergence". Review of Economic Studies. 76 (1): 143–179. doi:10.1111/j.1467-937X.2008.00506.x. PMC   3740999 . PMID   23946551.
  108. Galor, Oded; Moav, Omer (2004). "From Physical to Human Capital Accumulation: Inequality and the Process of Development". Review of Economic Studies. 71 (4): 1001–1026. CiteSeerX   10.1.1.561.4168 . doi:10.1111/0034-6527.00312.
  109. Piketty, Thomas (2014). Capital in the Twenty-first Century. Brilliance Audio. ISBN   978-1491534656.
  110. Barro, Robert J. (2000). "Inequality and Growth in a Panel of Countries". Journal of Economic Growth. 5 (1): 5–32. doi:10.1023/A:1009850119329.
  111. 1 2 Berg, Andrew; Ostry, Jonathan D.; Tsangarides, Charalambos G.; Yakhshilikov, Yorbol (2018). "Redistribution, inequality, and growth: new evidence". Journal of Economic Growth. 23 (3): 259–305. doi:10.1007/s10887-017-9150-2.
  112. Herzer, Dierk; Vollmer, Sebastian (2013). "Rising top incomes do not raise the tide". Journal of Policy Modeling. 35 (4): 504–19. doi:10.1016/j.jpolmod.2013.02.011.
  113. Brückner, Markus; Lederman, Daniel (2015). "Effects of income inequality on economic growth". VOX CEPR Policy Portal.
  114. Brückner, Markus; Lederman, Daniel (2018). "Inequality and economic growth: the role of initial income". Journal of Economic Growth. 23 (3): 341–366. doi:10.1007/s10887-018-9156-4.
  115. Bénabou, Roland (1996). "Inequality and Growth". NBER Macroeconomics Annual. 11: 11–92. doi:10.1086/654291.
  116. Lawrence H. Officer, "What Was the U.K. GDP Then?" MeasuringWorth, 2011. URL:http://www.measuringworth.com/ukgdp/
  117. "Economic Growth and Quality of Life: A Threshold Hypothesis". CiteSeerX   10.1.1.321.4576 .
  118. "In Pursuit of Happiness Research. Is It Reliable? What Does It Imply for Policy?" The Cato Institute. April 11, 2007
  119. 1 2 3 Claire Melamed, Renate Hartwig and Ursula Grant 2011. Jobs, growth and poverty: what do we know, what don't we know, what should we know? London: Overseas Development Institute
  120. Drèze, Jean; Sen, Amartya (2013). An uncertain glory India and its contradictions. Princeton: Princeton University Press. ISBN   9781400848775.
  121. 1 2 Claire Melamed, Kate Higgins and Andy Sumner (2010) Economic growth and the MDGs Overseas Development Institute
  122. Anand, Rahul; et al. (17 August 2013). "Inclusive growth revisited: Measurement and evolution". VoxEU.org. Centre for Economic Policy Research. Retrieved 13 January 2015.
  123. Anand, Rahul; et al. (May 2013). "Inclusive Growth: Measurement and Determinants" (PDF). IMF Working Paper. Asia Pacific Department: International Monetary Fund. Retrieved 13 January 2015.
  124. Ranieri, Rafael; Ramos, Raquel Almeida (March 2013). "Inclusive Growth: Building up a Concept" (PDF). Working Paper. 104. Brazil: International Policy Centre for Inclusive Growth. ISSN   1812-108X . Retrieved 13 January 2015.
  125. Bourguignon, Francois, "Growth Elasticity of Poverty Reduction: Explaining Heterogeneity across Countries and Time Periods" in Inequality and Growth, Ch. 1.
  126. Ravallion, M. (2007) Inequality is bad for the poor in S. Jenkins and J. Micklewright, (eds.) Inequality and Poverty Re-examined, Oxford University Press, Oxford.
  127. Elena Ianchovichina and Susanna Lundstrom, 2009. "Inclusive growth analytics: Framework and application", Policy Research Working Paper Series 4851, The World Bank.
  128. Donella H. Meadows, Jorgen Randers, Dennis L. Meadows. Limits to Growth: The 30-Year Update. White River Junction, Vermont : Chelsea Green, 2004.
  129. Allan Schnaiberg. The Environment: From Surpus to Scarcity . New York: Oxford University Press.
  130. "Charter of the Global Greens" (PDF contains full charter). Global Greens. Dakar. 2012.
  131. The Ultimate Resource , Julian Simon, 1981
  132. Stern Review, Part III Stabilization. Table 7.1 p. 168
  133. Garrett, T. J. (2009). "Are there basic physical constraints on future anthropogenic emissions of carbon dioxide?". Climatic Change. 104 (3–4): 437. arXiv: 0811.1855 . doi:10.1007/s10584-009-9717-9.
  134. Stern Review Economics of Climate Change. Part III Stabilization p. 183
  135. Jaccard, M. (2005). Sustainable Fossil Fuels. New York: Cambridge University Press. ISBN   978-0-521-67979-4.
  136. "Examination of Witnesses (Questions 32–39)". 16 May 2007. Retrieved 2007-11-29.
  137. 1 2 "Chapter 17: Growth and Productivity-The Long-Run Possibilities". Oswego.edu. 1999-06-10. Archived from the original on 2010-12-18. Retrieved 2010-12-22.
  138. 1 2 Bailey, Ronald (2004-02-04). "Science and Public Policy". Reason.com. Retrieved 2010-12-22.
  139. 1 2 Regis, Ed. "The Doomslayer". Wired. Archived from the original on 2008-05-18.
  140. Wells, David A. (1891). Recent Economic Changes and Their Effect on Production and Distribution of Wealth and Well-Being of Society. New York: D. Appleton and Co. ISBN   978-0-543-72474-8.Opening line of the Preface.
  141. Smil, Vaclav (2004). Enriching the Earth: Fritz Haber, Carl Bosch, and the Transformation of World Food Production. MIT Press. ISBN   978-0-262-69313-4.
  142. Hall, Charles A.S.; Cleveland, Cutler J.; Kaufmann, Robert (1992). Energy and Resource Quality: The ecology of the Economic Process. Niwot, Colorado: University Press of Colorado.
  143. Lyon, Christioher (July 3, 2015). "Declining South America copper ore grades require ingenuity". Mining Weekly.
  144. Bartlett, Albert Allen (2013). "Arithmetic, Population and Energy". albartlett.org. Retrieved 2014-07-22. You cannot sustain population growth and / or growth in the rates of consumption of resources.
  145. Murphy, Tom (2011-07-12). "Galactic-Scale Energy". Do the Math. Retrieved 2014-07-22. continued growth in energy use becomes physically impossible within conceivable timeframes ... all economic growth must similarly end.
  146. Hayward, Steven F. "That Old Time Religion". AEI. Archived from the original on 2009-04-18. Retrieved 2010-12-22.
  147. Turner, Graham. A Comparison of the Limits of Growth with Thirty Years of Reality. CSIRO Working Paper Series, (2010). Available at: "Archived copy" (PDF). Archived from the original (PDF) on 2010-11-28. Retrieved 2010-10-20.CS1 maint: Archived copy as title (link)
  148. Hall, C. & Day, J. "Revisiting the Limits to Growth After Peak Oil" American Scientist 2009; 97: pp. 230–8.
  149. Meadows, D H; Randers (2004). Limits to Growth: The 30-Year Update. Chelsea Green Publishing. ISBN   978-1-931498-58-6.
  150. "Overshoot" by William Catton, p. 3 [1980]
  151. Garrett, T. J. (2014). "Long-run evolution of the global economy: 1. Physical basis". Earth's Future. 2 (3): 127. arXiv: 1306.3554 . doi:10.1002/2013EF000171.
  152. Landes, David. S. (1969). The Unbound Prometheus: Technological Change and Industrial Development in Western Europe from 1750 to the Present. Cambridge, New York: Press Syndicate of the University of Cambridge. pp. 289, 293. ISBN   978-0-521-09418-4.
  153. Devine, Jr., Warren D. (1983). "From Shafts to Wires: Historical Perspective on Electrification". Journal of Economic History. 43 (2): 347–372 [p. 355]. doi:10.1017/S0022050700029673.
  154. Committee on Electricity in Economic Growth Energy Engineering Board Commission on Engineering and Technical Systems National Research Council (1986). Electricity in Economic Growth. Washington, DC: National Academy Press. pp. 16, 40. ISBN   978-0-309-03677-1.
  155. Paepke, C. Owen (1992). The Evolution of Progress: The End of Economic Growth and the Beginning of Human Transformation. New York, Toronto: Random House. p. 109. ISBN   978-0-679-41582-4.

Further reading

Articles and lectures

Data