The local multiplier effect (sometimes called the local premium) is the additional economic benefit accrued to an area from money being spent in the local economy. The concept has been taken up by advocates for "spend local" campaigns in addition to more formal treatments in the area of regional economic development.
One perspective of the local multiplier effect focuses on the greater local economic return generated by money spent at locally-owned independent businesses compared to corporate chains or other absentee-owned businesses. Localisation advocates cite the multiplier effect as one reason, of many, for consumers to do more of their business locally.
Two U.S.-based entities have published studies measuring the local multiplier. Civic Economics, a for-profit economic consultancy, has undertaken studies in Austin, TX, San Francisco, CA; Chicago, IL and Western Michigan. The Institute for Local Self-Reliance, a non-profit organization, executed a study looking at much smaller communities in the Central Coast of Maine. [1]
In the field of regional economic development, local multiplier effect refers to the spillover effect the presence of a particular type of job has on additional local economic activity. Current scholarly debate around local multipliers center around the magnitude of the effect from different industries and sectors on local employment. This section will lay out the current theory as to how local multipliers operate in the local economy, its policy implications, and highlight current research into the magnitude of the effect.
In discussing local multipliers, regional economists focus on differences in job creation in the tradable and non-tradable sectors of the economy. Whenever a new job is created, there is a chance that additional jobs may also be created via increased demand for local goods and services. [2] Some economists argue that jobs in the tradable sector have a much higher local multiplier effect. This is due to the tradable sector market existing beyond the borders of a local region. This larger market allows the tradable sector to generate more revenue, have higher salaries, and increase in size independent of the local economic climate.
The size of the multiplier effect on the non-tradable sector is determined by the interplay of three factors: consumer preference for non-tradables, the types of jobs created, and the elasticity of local labor and housing supply. Consumer preference refers to certain non-tradable goods and services requiring more workers to provide them than others. If the tradable industry has high demand for a type of non-tradable good that needs more workers to be produced then the multiplier will be higher. Types of jobs created refers to the fact that certain job categories generally have higher pay than others. Higher pay results in larger amounts of disposable income that can be spent on the local economy. This results in a higher multiplier. Elasticity of local labor and housing supply refers to that the fact whenever there is an influx of new people with higher than average wages to an area, average prices will rise. This can in turn push out some residents with below average wages into lower cost areas. This results in a lower multiplier. [3]
Economists also argue that certain industries have stronger agglomeration economies than other industries, which can magnify the strength of the multiplier effect. [4] Further, the magnitude is affected by local regional and political factors such as the unemployment levels [5] and level of government intervention in the economy and labor market. [6]
Arguments for policy mechanisms to attract certain industries to a particular region often are based on analysis of local multiplier effects as justification for the associated costs of the policy. [7] The perceived strength (or weakness) of a particular industry's local multiplier effect thereby affects what industries are most often targeted by policy makers. Other proponents disagree with the logic behind trying to attract whole industries to new areas. They cite the difficulty in attracting established industries with high local multipliers (such as the technology industry). Such industries are not easily engineered by government intervention as their current locations are often due to random coincidences during their founding periods. [8] An alternative solution proposed by Enrico Moretti is for the government to subsidize relocation costs for workers currently in areas with high unemployment to areas with industries that provide high local multipliers. [9]
Several scholars have found strong evidence for the presence of the local multiplier effect. Within tradable industries, Enrico Moretti discovered that, for each additional skilled job created, 2.5 jobs were also generated in the local non-tradable goods and services sectors, and an additional unskilled job created 1.6 jobs in the local non-tradable sector. [10] Highly skilled sectors such as technology have the highest multiplier effect with five non-tradable jobs for each technology job. Moretti cites the example of Apple Computers which directly employs only 13,000 workers but generates 60,000 additional service jobs in the area. Of those 60,000, 36,000 are unskilled, such as restaurant or retail workers, while 24,000 are skilled jobs such as doctors or lawyers. [11] Other academics have taken issue with the large magnitude of the local multiplier effect claimed by Moretti. One study reanalyzes the claim of Enrico Moretti that five non-tradable jobs are created for each highly skilled tradable job. Using a modified version of Moretti's method it found that the true multiplier effect was only 1.02 non-tradable jobs created. Furthermore the study finds that there is no difference on the local multiplier effect between whether the tradable job is skilled or unskilled. [12]
A comparison study of local multiplier effects in Sweden revealed similar multiplier effects as those found in the United States. The study found that while sizable effects did occur, on average, they were smaller than the effects found in the United States. For Sweden, adding a high-skilled job to the traded sector resulted in the creation of 3 additional jobs in the non-traded sector, as opposed to the 5 additional jobs created in the United States. The authors argue the difference is due to the difference in local factors. For example, Sweden's relatively smaller wage difference between skilled and unskilled workers negatively impacts the overall multiplier effect. [13]
Another study conducted in Italy using the same methodology as Morretti concluded that, in Italy, there was no evidence of a local multiplier effect from the creation of tradable jobs on the rest of the local economy. The study found the local multiplier effect to be zero and occasionally negative in all regions of Italy. In explaining this discrepancy, the authors points to excessive government regulation in the non-tradable sector, the government's role in wage setting, and barriers to labor mobility. [14]
Labour economics, or labor economics, seeks to understand the functioning and dynamics of the markets for wage labour. Labour is a commodity that is supplied by labourers, usually in exchange for a wage paid by demanding firms. Because these labourers exist as parts of a social, institutional, or political system, labour economics must also account for social, cultural and political variables.
A minimum wage is the lowest remuneration that employers can legally pay their employees—the price floor below which employees may not sell their labor. Most countries had introduced minimum wage legislation by the end of the 20th century. Because minimum wages increase the cost of labor, companies often try to avoid minimum wage laws by using gig workers, by moving labor to locations with lower or nonexistent minimum wages, or by automating job functions. Minimum wage policies can vary significantly between countries or even within a country, with different regions, sectors, or age groups having their own minimum wage rates. These variations are often influenced by factors such as the cost of living, regional economic conditions, and industry-specific factors.
One of the major subfields of urban economics, economies of agglomeration, explains, in broad terms, how urban agglomeration occurs in locations where cost savings can naturally arise. This term is most often discussed in terms of economic firm productivity. However, agglomeration effects also explain some social phenomena, such as large proportions of the population being clustered in cities and major urban centers. Similar to economies of scale, the costs and benefits of agglomerating increase the larger the agglomerated urban cluster becomes. Several prominent examples of where agglomeration has brought together firms of a specific industry are: Silicon Valley and Los Angeles being hubs of technology and entertainment, respectively, in California, United States; and London, United Kingdom, being a hub of finance.
Employment is a relationship between two parties regulating the provision of paid labour services. Usually based on a contract, one party, the employer, which might be a corporation, a not-for-profit organization, a co-operative, or any other entity, pays the other, the employee, in return for carrying out assigned work. Employees work in return for wages, which can be paid on the basis of an hourly rate, by piecework or an annual salary, depending on the type of work an employee does, the prevailing conditions of the sector and the bargaining power between the parties. Employees in some sectors may receive gratuities, bonus payments or stock options. In some types of employment, employees may receive benefits in addition to payment. Benefits may include health insurance, housing, and disability insurance. Employment is typically governed by employment laws, organisation or legal contracts.
Self-employment is the state of working for oneself rather than an employer. Tax authorities will generally view a person as self-employed if the person chooses to be recognised as such or if the person is generating income for which a tax return needs to be filed. In the real world, the critical issue for tax authorities is not whether a person is engaged in business activity but whether the activity is profitable and therefore potentially taxable. In other words, the trading is likely to be ignored if there is no profit, so occasional and hobby- or enthusiast-based economic activity is generally ignored by tax authorities. Self-employed people are usually classified as a sole proprietor, independent contractor, or as a member of a partnership.
The creative industries refers to a range of economic activities which are concerned with the generation or exploitation of knowledge and information. They may variously also be referred to as the cultural industries or the creative economy, and most recently they have been denominated as the Orange Economy in Latin America and the Caribbean.
The Balassa–Samuelson effect, also known as Harrod–Balassa–Samuelson effect, the Ricardo–Viner–Harrod–Balassa–Samuelson–Penn–Bhagwati effect, or productivity biased purchasing power parity (PPP) is the tendency for consumer prices to be systematically higher in more developed countries than in less developed countries. This observation about the systematic differences in consumer prices is called the "Penn effect". The Balassa–Samuelson hypothesis is the proposition that this can be explained by the greater variation in productivity between developed and less developed countries in the traded goods' sectors which in turn affects wages and prices in the non-tradable goods sectors.
Military Keynesianism is an economic policy based on the position that government should raise military spending to boost economic growth. It is a fiscal stimulus policy as advocated by John Maynard Keynes. But where Keynes advocated increasing public spending on socially useful items, additional public spending is allocated to the arms industry, the area of defense being that over which the executive exercises greater discretionary power. Typical examples of such policies are Nazi Germany, or the United States during and after World War II, during the presidencies of Franklin D. Roosevelt and Harry S. Truman. This type of economy is linked to the interdependence between welfare and warfare states, in which the latter feeds the former, in a potentially unlimited spiral. The term is often used pejoratively to refer to politicians who apparently reject Keynesian economics, but use Keynesian arguments in support of excessive military spending.
In economics, the Baumol effect, also known as Baumol's cost disease, first described by William J. Baumol and William G. Bowen in the 1960s, is the tendency for wages in jobs that have experienced little or no increase in labor productivity to rise in response to rising wages in other jobs that did experience high productivity growth. In turn, these sectors of the economy become more expensive over time, because their input costs increase while productivity does not. Typically, this affects services more than manufactured goods, and in particular health, education, arts and culture.
Immigration is the international movement of people to a destination country of which they are not usual residents or where they do not possess nationality in order to settle as permanent residents. Commuters, tourists, and other short-term stays in a destination country do not fall under the definition of immigration or migration; seasonal labour immigration is sometimes included, however.
In the United States, the minimum wage is set by U.S. labor law and a range of state and local laws. The first federal minimum wage was instituted in the National Industrial Recovery Act of 1933, signed into law by President Franklin D. Roosevelt, but later found to be unconstitutional. In 1938, the Fair Labor Standards Act established it at 25¢ an hour. Its purchasing power peaked in 1968, at $1.60. In 2009, Congress increased it to $7.25 per hour with the Fair Minimum Wage Act of 2007, and has not increased it since.
Employment protection legislation (EPL) includes all types of employment protection measures, whether grounded primarily in legislation, court rulings, collectively bargained conditions of employment, or customary practice. The term is common among circles of economists. Employment protection refers both to regulations concerning hiring and firing.
In economics, a monopsony is a market structure in which a single buyer substantially controls the market as the major purchaser of goods and services offered by many would-be sellers. The microeconomic theory of monopsony assumes a single entity to have market power over all sellers as the only purchaser of a good or service. This is a similar power to that of a monopolist, which can influence the price for its buyers in a monopoly, where multiple buyers have only one seller of a good or service available to purchase from.
Timothy J. Bartik is an American economist who specializes in regional economics, public finance, urban economics, labor economics, and labor demand policies. He is a senior economist at the W.E. Upjohn Institute for Employment Research in Kalamazoo, Michigan.
Technological unemployment is the loss of jobs caused by technological change. It is a key type of structural unemployment. Technological change typically includes the introduction of labour-saving "mechanical-muscle" machines or more efficient "mechanical-mind" processes (automation), and humans' role in these processes are minimized. Just as horses were gradually made obsolete as transport by the automobile and as labourer by the tractor, humans' jobs have also been affected throughout modern history. Historical examples include artisan weavers reduced to poverty after the introduction of mechanized looms. During World War II, Alan Turing's bombe machine compressed and decoded thousands of man-years worth of encrypted data in a matter of hours. A contemporary example of technological unemployment is the displacement of retail cashiers by self-service tills and cashierless stores.
Wage compression refers to the empirical regularity that wages for low-skilled workers and wages for high-skilled workers tend toward one another. As a result, the prevailing wage for a low-skilled worker exceeds the market-clearing wage, resulting in unemployment for low-skilled workers. Meanwhile, the prevailing wage for high-skilled workers is below the market-clearing wage, creating a short supply of high-skilled workers.
Farmers' markets are markets in which producers sell directly to consumers. While farmers' markets do not have a measurable impact on the United States economy as a whole, many studies have found that farmers' markets impact state and municipal economies as well as vendors, local businesses, and consumers. These impacts are measured using the IMPLAN Input-Output Model and the Sticky Economic Evaluation Device (SEED), in addition to other methods. The economic impacts that are most frequently measured include effects on the revenue and income of local growers and local businesses, the effects on job creation, and the effects on other sectors of state and local economies. Some obstacles that may reduce impact or create negative economic effects include over-saturation, socioeconomic barriers, the opportunity cost of farmers' markets, and the projected unsustainable growth of farmers' markets in the United States.
Job creation and unemployment are affected by factors such as aggregate demand, global competition, education, automation, and demographics. These factors can affect the number of workers, the duration of unemployment, and wage rates.
The social multiplier effect is a term used in economics, economic geography, sociology, public health and other academic disciplines to describe certain social externalities. It is based on the principle that high levels of one attribute amongst one's peers can have spillover effects on an individual. "This social multiplier can also be thought of as a ratio ∆P/∆I where ∆I is the average response of an individual action to an exogenous parameter and ∆P is the response of the peer group to a change in the same parameter that affects the entire peer group." In other words, it is the ratio of an individual action to an exogenous parameter to the aggregate effect of the same parameter on the individual's peers.
Giovanni Peri is an Italian-born American economist who is Professor and Chair of the Department of Economics at the University of California, Davis, where he directs the Global Migration Center. He is also a research associate at the National Bureau of Economic Research and the co-editor of the peer-reviewed Journal of the European Economic Association. He is known for his research on the economic impact of immigration to the United States. He has also researched the economic determinants of international migrations and the Economic impact of immigration in several European Countries. He has challenged and broadened the work of George Borjas, which has argued that immigration has negative economic effects on low educated US workers.