Knowledge spillover is an exchange of ideas among individuals. [1] Knowledge spillover is usually replaced by terminations of technology spillover, R&D spillover and/or spillover (economics) when the concept is specific to technology management and innovation economics. [2] In knowledge management economics, knowledge spillovers are non-rival knowledge market costs incurred by a party not agreeing to assume the costs that has a spillover effect of stimulating technological improvements in a neighbor through one's own innovation. [1] [3] Such innovations often come from specialization within an industry. [4]
A recent, general example of a knowledge spillover could be the collective growth associated with the research and development of online social networking tools like Facebook, YouTube, and Twitter. Such tools have not only created a positive feedback loop, and a host of originally unintended benefits for their users, but have also created an explosion of new software, programming platforms, and conceptual breakthroughs that have perpetuated the development of the industry as a whole. The advent of online marketplaces, the utilization of user profiles, the widespread democratization of information, and the interconnectivity between tools within the industry have all been products of each tool's individual developments. These developments have since spread outside the industry into the mainstream media as news and entertainment firms have developed their own market feedback applications within the tools themselves, and their own versions of online networking tools (e.g. CNN’s iReport).
There are two kinds of knowledge spillovers: internal and external. Internal knowledge spillover occurs if there is a positive impact of knowledge between individuals within an organization that produces goods and/or services. [1] An external knowledge spillover occurs when the positive impact of knowledge is between individuals outside of a production organization. [1] Marshall–Arrow–Romer (MAR) spillovers, Porter spillovers and Jacobs spillovers are three types of spillovers. [1]
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Marshall–Arrow–Romer (MAR) spillover has its origins in 1890, where the English economist Alfred Marshall developed a theory of knowledge spillovers. [1] Knowledge spillovers later were extended by economists Kenneth Arrow (1962) and Paul Romer (1986). In 1992, Edward Glaeser, Hedi Kallal, José Scheinkman, and Andrei Shleifer pulled together the Marshall–Arrow–Romer views on knowledge spillovers and accordingly named the view MAR spillover in 1992. [5]
Under the Marshall–Arrow–Romer (MAR) spillover view, the proximity of firms within a common industry often affects how well knowledge travels among firms to facilitate innovation and growth. [1] The closer the firms are to one another, the greater the MAR spillover. [1] The exchange of ideas is largely from employee to employee, in that employees from different firms in an industry exchange ideas about new products and new ways to produce goods. [1] The opportunity to exchange ideas that lead to innovations key to new products and improved production methods. [1]
Business parks are a good example of concentrated businesses that may benefit from MAR spillover. [1] Many semiconductor firms intentionally located their research and development facilities in Silicon Valley to take advantage of MAR spillover. [1] In addition, the film industry in Los Angeles, California and elsewhere relies on a geographic concentration of specialists (directors, producers, scriptwriters, and set designers) to bring together narrow aspects of movie-making into a final product.
However, research on the Cambridge IT Cluster (UK) suggests that technological knowledge spillovers might only happen rarely and are less important than other cluster benefits such as labour market pooling. [6]
Porter (1990), like MAR, argues that knowledge spillovers in specialized, geographically concentrated industries stimulate growth. He insists, however, that local competition, as opposed to local monopoly, fosters the pursuit and rapid adoption of innovation. He gives examples of Italian ceramics and gold jewellery industries, in which hundreds of firms are located together and fiercely compete to innovate since the alternative to innovation is demise. Porter's externalities are maximized in cities with geographically specialized, competitive industries. [5]
Under the Jacobs spillover view, the proximity of firms from different industries affect how well knowledge travels among firms to facilitate innovation and growth. [1] This is in contrast to MAR spillovers, which focus on firms in a common industry. [1] The diverse proximity of a Jacobs spillover brings together ideas among individuals with different perspectives to encourage an exchange of ideas and foster innovation in an industrially diverse environment. [1]
Developed in 1969 by urbanist Jane Jacobs and John Jackson [7] the concept that Detroit’s shipbuilding industry from the 1830s was the critical antecedent leading to the 1890s development of the auto industry in Detroit since the gasoline engine firms easily transitioned from building gasoline engines for ships to building them for automobiles. [1]
Knowledge spillover has asymmetric directions. The focal entity and receives or outflows know-how to others, creating incoming and outgoing spillovers. [8] Cassiman and Veugelers (2002) use survey data and estimate incoming and outgoing spillover and study the economic impacts. Incoming spillover increases growth opportunity and productivity improvements of receivers, while outgoing spillover leads to free rider problem in the technology competition. Chen et al. (2013) use econometric method to gauge incoming spillover, a way that applies for all companies without survey. They find that incoming spillover explains R&D profits of industrial firms. [9]
As information is largely non-rival in nature, certain measures must[ citation needed ] be taken to ensure that, for the originator, the information remains a private asset. As the market cannot do this efficiently, public regulations have been implemented to facilitate a more appropriate equilibrium.
As a result, the concept of intellectual property rights have developed and ensure the ability of entrepreneurs to temporarily hold on to the profitability of their ideas through patents, copyrights, trade secrets, and other governmental safeguards. Conversely, such barriers to entry prevent the exploitation of informational developments by rival firms within an industry. [2] For example, Wang (2023) indicates that technology spillovers are reduced by 27% to 51% when trade secrets laws are implemented by the Uniform Trade Secrets Act in the US. [2]
On the other hand, when the research and development of a private firm results in a social benefit, unaccounted for within the market price, often greater than the private return of the firm's research, then a subsidy to offset the underproduction of that benefit might be offered to the firm in return for its continued output of that benefit. Government subsidies are often controversial, and while they might often result in a more appropriate social equilibrium, they could also lead to undesirable political repercussions as such a subsidy must come from taxpayers, some of whom may not directly benefit from the researching firm's subsidized knowledge spillover. [10] The concept of knowledge spillover is also used to justify subsidies to foreign direct investment, as foreign investors help diffuse technology among local firms. [11]
In economics, an externality or external cost is an indirect cost or benefit to an uninvolved third party that arises as an effect of another party's activity. Externalities can be considered as unpriced components that are involved in either consumer or producer market transactions. Air pollution from motor vehicles is one example. The cost of air pollution to society is not paid by either the producers or users of motorized transport to the rest of society. Water pollution from mills and factories is another example. All (water) consumers are made worse off by pollution but are not compensated by the market for this damage. A positive externality is when an individual's consumption in a market increases the well-being of others, but the individual does not charge the third party for the benefit. The third party is essentially getting a free product. An example of this might be the apartment above a bakery receiving some free heat in winter. The people who live in the apartment do not compensate the bakery for this benefit.
Innovation is the practical implementation of ideas that result in the introduction of new goods or services or improvement in offering goods or services. ISO TC 279 in the standard ISO 56000:2020 defines innovation as "a new or changed entity, realizing or redistributing value". Others have different definitions; a common element in the definitions is a focus on newness, improvement, and spread of ideas or technologies.
The knowledge economy, or knowledge-based economy, is an economic system in which the production of goods and services is based principally on knowledge-intensive activities that contribute to advancement in technical and scientific innovation. The key element of value is the greater dependence on human capital and intellectual property as the source of innovative ideas, information and practices. Organisations are required to capitalise on this "knowledge" in their production to stimulate and deepen the business development process. There is less reliance on physical input and natural resources. A knowledge-based economy relies on the crucial role of intangible assets within the organisations' settings in facilitating modern economic growth.
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.
Endogenous growth theory holds that economic growth is primarily the result of endogenous and not external forces. Endogenous growth theory holds that investment in human capital, innovation, and knowledge are significant contributors to economic growth. The theory also focuses on positive externalities and spillover effects of a knowledge-based economy which will lead to economic development. The endogenous growth theory primarily holds that the long run growth rate of an economy depends on policy measures. For example, subsidies for research and development or education increase the growth rate in some endogenous growth models by increasing the incentive for innovation.
Industrial district (ID) is a place where workers and firms, specialised in a main industry and auxiliary industries, live and work. The concept was initially used by Alfred Marshall to describe some aspects of the industrial organisation of nations. At the end of the 1990s the industrial districts in developed or developing countries had gained a recognised attention in international debates on industrialisation and policies of regional development.
Paul Michael Romer is an American economist and policy entrepreneur who is a University Professor in Economics at Boston College. Romer is best known as the former Chief Economist of the World Bank and for co-receiving the 2018 Nobel Memorial Prize in Economic Sciences for his work in endogenous growth theory. He also coined the term "mathiness," which he describes as misuse of mathematics in economic research.
General-purpose technologies (GPTs) are technologies that can affect an entire economy. GPTs have the potential to drastically alter societies through their impact on pre-existing economic and social structures. The archetypal examples of GPTs are the steam engine, electricity, and information technology. Other examples include the railroad, interchangeable parts, electronics, material handling, mechanization, control theory (automation), the automobile, the computer, the Internet, medicine, and artificial intelligence, in particular generative pre-trained transformers.
A business cluster is a geographic concentration of interconnected businesses, suppliers, and associated institutions in a particular field. Clusters are considered to increase the productivity with which companies can compete, nationally and globally. Accounting is a part of the business cluster. In urban studies, the term agglomeration is used. Clusters are also important aspects of strategic management.
Zoltan J. Acs is an American economist. He is Professor of Management at The London School of Economics (LSE), and a professor at George Mason University, where he teaches in the Schar School of Policy and Government and is the Director of the Center for Entrepreneurship and Public Policy. He is also a visiting professor at Imperial College Business School in London and affiliated with the University of Pecs in Hungary. He is co-editor and founder of Small Business Economics.
Maurice Kugler is a Colombian American economist born in 1967. He received his Ph.D. in economics from UC Berkeley in 2000, as well as an M.Sc. (Econ) and a B.Sc. (Econ) both from the London School of Economics. Kugler is professor of public policy in the Schar School of Policy and Government at George Mason University. Prior to this, he worked as a consultant for the World Bank, where he was senior economist before (2010-2012). Most recently he was principal research scientist and managing director at IMPAQ International.
The Arrow information paradox, and occasionally referred to as Arrow's disclosure paradox, named after Kenneth Arrow, American economist and joint winner of the Nobel Memorial Prize in Economics with John Hicks, is a problem faced by companies when managing intellectual property across their boundaries. It occurs when they seek external technologies for their business or external markets for their own technologies. It has implications for the value of technology and innovations as well as their development by more than one firm, and for the need for and limitations of patent protection.
In economics, a spillover is an economic event in one context that occurs because of something else in a seemingly unrelated context. For example, externalities of economic activity are non-monetary spillover effects upon non-participants. Odors from a rendering plant are negative spillover effects upon its neighbors; the beauty of a homeowner's flower garden is a positive spillover effect upon neighbors. The concept of spillover in economics could be replaced by terminations of technology spillover, R&D spillover and/or knowledge spillover when the concept is specific to technology management and innovation economics.
Innovation economics is new, and growing field of economic theory and applied/experimental economics that emphasizes innovation and entrepreneurship. It comprises both the application of any type of innovations, especially technological, but not only, into economic use. In classical economics this is the application of customer new technology into economic use; but also it could refer to the field of innovation and experimental economics that refers the new economic science developments that may be considered innovative. In his 1942 book Capitalism, Socialism and Democracy, economist Joseph Schumpeter introduced the notion of an innovation economy. He argued that evolving institutions, entrepreneurs and technological changes were at the heart of economic growth. However, it is only in recent years that "innovation economy," grounded in Schumpeter's ideas, has become a mainstream concept".
Innovation management is a combination of the management of innovation processes, and change management. It refers to product, business process, marketing and organizational innovation. Innovation management is the subject of ISO 56000 series standards being developed by ISO TC 279.
The technological innovation system is a concept developed within the scientific field of innovation studies which serves to explain the nature and rate of technological change. A Technological Innovation System can be defined as ‘a dynamic network of agents interacting in a specific economic/industrial area under a particular institutional infrastructure and involved in the generation, diffusion, and utilization of technology’.
Cluster theory is a theory of strategy.
Reinhilde Veugelers is a Belgian economist and Professor of Managerial Economics, Strategy and Innovation at the Katholieke Universiteit Leuven from Belgium, known for her research on science and innovation. She is also a scholar at Bruegel in Brussels and at the Peterson Institute for International Economics in Washington D.C.
Holger Görg is a German economist who currently works as Professor of International Economics at the University of Kiel. Görg also leads the Kiel Center for Globalization and heads the Research Area "Global Division of Labour" at the Kiel Institute for the World Economy. In 2009, he was awarded the Gossen Prize for his contributions to the study of firms' decisions to invest, export and outsource parts of their value chains abroad.
Research quotient (RQ) is a measure of companies' innovation capability introduced in the 2008 article, R&D Returns Causality: Absorptive Capacity or Organizational IQ. The measure was originally referred to as IQ (innovation quotient), but because IQ and innovation quotient were already in use commercially, it was referred to as RQ in subsequent work. The motivating argument in the 2008 article was that the main prescription from absorptive capacity — that the more a company spends on R&D, the greater its ability to absorb spillovers from rivals' R&D, seemed implausible. This is because the greater the R&D, the closer a company gets to the knowledge frontier, and accordingly, the less likely it can use spillovers. Instead, Knott proposed and found, it was not that spending more led to higher returns, it was that companies have inherently different returns (RQ), and those with higher RQs spend more.