IDEAS home Printed from https://ideas.repec.org/a/eee/respol/v47y2018i4p750-767.html
   My bibliography  Save this article

Spillovers in the production of knowledge: A meta-regression analysis

Author

Listed:
  • Neves, Pedro Cunha
  • Sequeira, Tiago Neves

Abstract

The production of knowledge was subjected to quantitative analysis in the second half of the twentieth century, following Arrow (1962). The determinants of knowledge and the externalities present in the innovation process were discussed with immediate policy influence. In particular, the presence and strength of the spillover of the pool of past knowledge has encouraged high subsidization of R&D in the most developed countries. We survey the empirical literature on the spillover effect in the production of knowledge and implement a meta-analytic regression. We discover that the average spillover effect is less than but close to one and is highly significant. We also find that the spillover effect tends to be greater when the estimation of knowledge production accounts for foreign inputs, and it tends to be lower when the estimation includes only rich economies, regional data are used, and the pool of knowledge is not the patent stock.

Suggested Citation

  • Neves, Pedro Cunha & Sequeira, Tiago Neves, 2018. "Spillovers in the production of knowledge: A meta-regression analysis," Research Policy, Elsevier, vol. 47(4), pages 750-767.
  • Handle: RePEc:eee:respol:v:47:y:2018:i:4:p:750-767
    DOI: 10.1016/j.respol.2018.02.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0048733318300295
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.respol.2018.02.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stanley, T.D. & Doucouliagos, Chris & Jarrell, Stephen B., 2008. "Meta-regression analysis as the socio-economics of economics research," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(1), pages 276-292, February.
    2. Hu, Mei-Chih & Mathews, John A., 2008. "China's national innovative capacity," Research Policy, Elsevier, vol. 37(9), pages 1465-1479, October.
    3. A. Minniti & F. Venturini, 2014. "R&D Policy and Schumpeterian Growth: Theory and Evidence," Working Papers wp945, Dipartimento Scienze Economiche, Universita' di Bologna.
    4. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    5. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    6. Hulya Ulku, 2007. "R&D, innovation and output: evidence from OECD and nonOECD countries," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 291-307.
    7. Yasser Abdih & Frederick Joutz, 2006. "Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle," IMF Staff Papers, Palgrave Macmillan, vol. 53(2), pages 1-3.
    8. Card, David & Krueger, Alan B, 1995. "Time-Series Minimum-Wage Studies: A Meta-analysis," American Economic Review, American Economic Association, vol. 85(2), pages 238-243, May.
    9. James B. Ang & Jakob B. Madsen, 2011. "Can Second-Generation Endogenous Growth Models Explain the Productivity Trends and Knowledge Production in the Asian Miracle Economies?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1360-1373, November.
    10. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    11. Jones, Charles I & Williams, John C, 2000. "Too Much of a Good Thing? The Economics of Investment in R&D," Journal of Economic Growth, Springer, vol. 5(1), pages 65-85, March.
    12. Nicholas Bloom & Mark Schankerman & John Van Reenen, 2013. "Identifying Technology Spillovers and Product Market Rivalry," Econometrica, Econometric Society, vol. 81(4), pages 1347-1393, July.
    13. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    14. Grossmann, Volker & Steger, Thomas & Trimborn, Timo, 2013. "Dynamically optimal R&D subsidization," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 516-534.
    15. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
    16. Marios Zachariadis, 2003. "R&D, innovation, and technological progress: a test of the Schumpeterian framework without scale effects," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(3), pages 566-586, August.
    17. Fabio Montobbio & Valerio Sterzi, 2011. "Inventing together: exploring the nature of international knowledge spillovers in Latin America," Journal of Evolutionary Economics, Springer, vol. 21(1), pages 53-89, February.
    18. Peretto, Pietro F, 1998. "Technological Change and Population Growth," Journal of Economic Growth, Springer, vol. 3(4), pages 283-311, December.
    19. Ian J. Bateman & Andrew P. Jones, 2003. "Contrasting Conventional with Multi-Level Modeling Approaches to Meta-Analysis: Expectation Consistency in U.K. Woodland Recreation Values," Land Economics, University of Wisconsin Press, vol. 79(2), pages 235-258.
    20. repec:fth:harver:1473 is not listed on IDEAS
    21. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    22. Kul B. Luintel & Mosahid Khan, 2009. "Heterogeneous ideas production and endogenous growth: an empirical investigation," Canadian Journal of Economics, Canadian Economics Association, vol. 42(3), pages 1176-1205, August.
    23. Laura Bottazzi & Giovanni Peri, 2007. "The International Dynamics of R&D and Innovation in the Long Run and in The Short Run," Economic Journal, Royal Economic Society, vol. 117(518), pages 486-511, March.
    24. Madsen, Jakob B., 2016. "Health, Human Capital Formation And Knowledge Production: Two Centuries Of International Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 20(4), pages 909-953, June.
    25. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    26. Ricardo J. Caballero & Adam B. Jaffe, 1993. "How High are the Giants' Shoulders: An Empirical Assessment of Knowledge Spillovers and Creative Destruction in a Model of Economic Growth," NBER Chapters, in: NBER Macroeconomics Annual 1993, Volume 8, pages 15-86, National Bureau of Economic Research, Inc.
    27. Mancusi, Maria Luisa, 2008. "International spillovers and absorptive capacity: A cross-country cross-sector analysis based on patents and citations," Journal of International Economics, Elsevier, vol. 76(2), pages 155-165, December.
    28. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December.
    29. Venturini, Francesco, 2012. "Looking into the black box of Schumpeterian growth theories: An empirical assessment of R&D races," European Economic Review, Elsevier, vol. 56(8), pages 1530-1545.
    30. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    31. Michael E. Porter & Scott Stern, 2000. "Measuring the "Ideas" Production Function: Evidence from International Patent Output," NBER Working Papers 7891, National Bureau of Economic Research, Inc.
    32. Ang, James B. & Madsen, Jakob B., 2015. "What Drives Ideas Production Across The World?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 79-115, January.
    33. T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, July.
    34. Cabrer-Borras, Bernardi & Serrano-Domingo, Guadalupe, 2007. "Innovation and R&D spillover effects in Spanish regions: A spatial approach," Research Policy, Elsevier, vol. 36(9), pages 1357-1371, November.
    35. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, vol. 45(10), pages 2069-2086.
    36. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    37. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
    38. Mercedes Gumbau-Albert & Joaquin Maudos, 2009. "Patents, technological inputs and spillovers among regions," Applied Economics, Taylor & Francis Journals, vol. 41(12), pages 1473-1486.
    39. Argentino Pessoa, 2005. "“Ideas” driven growth: the OECD evidence," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 4(1), pages 46-67, April.
    40. Franco Malerba & Maria Mancusi & Fabio Montobbio, 2013. "Innovation, international R&D spillovers and the sectoral heterogeneity of knowledge flows," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(4), pages 697-722, December.
    41. Chris Doucouliagos, 2005. "Publication Bias in the Economic Freedom and Economic Growth Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 367-387, July.
    42. Furman, Jeffrey L. & Porter, Michael E. & Stern, Scott, 2002. "The determinants of national innovative capacity," Research Policy, Elsevier, vol. 31(6), pages 899-933, August.
    43. Robert J. Johnston & Elena Y. Besedin & Richard Iovanna & Christopher J. Miller & Ryan F. Wardwell & Matthew H. Ranson, 2005. "Systematic Variation in Willingness to Pay for Aquatic Resource Improvements and Implications for Benefit Transfer: A Meta‐Analysis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 53(2‐3), pages 221-248, June.
    44. Jakob Madsen, 2008. "Semi-endogenous versus Schumpeterian growth models: testing the knowledge production function using international data," Journal of Economic Growth, Springer, vol. 13(1), pages 1-26, March.
    45. Hulya Ulku, 2007. "R&D, innovation, and growth: evidence from four manufacturing sectors in OECD countries," Oxford Economic Papers, Oxford University Press, vol. 59(3), pages 513-535, July.
    46. Pietro Peretto & Sjak Smulders, 2002. "Technological Distance, Growth And Scale Effects," Economic Journal, Royal Economic Society, vol. 112(481), pages 603-624, July.
    47. Long Gen Ying, 2008. "The Shape of Ideas Production Function in Transition and Developing Economies: Evidence from China," International Regional Science Review, , vol. 31(2), pages 185-206, April.
    48. Hu, Mei-Chih & Mathews, John A., 2005. "National innovative capacity in East Asia," Research Policy, Elsevier, vol. 34(9), pages 1322-1349, November.
    49. Venturini, Francesco, 2012. "Product variety, product quality, and evidence of endogenous growth," Economics Letters, Elsevier, vol. 117(1), pages 74-77.
    50. Christopher Laincz & Pietro Peretto, 2006. "Scale effects in endogenous growth theory: an error of aggregation not specification," Journal of Economic Growth, Springer, vol. 11(3), pages 263-288, September.
    51. Furman, Jeffrey L. & Hayes, Richard, 2004. "Catching up or standing still?: National innovative productivity among 'follower' countries, 1978-1999," Research Policy, Elsevier, vol. 33(9), pages 1329-1354, November.
    52. Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2015. "Econometric modelling of the regional knowledge production function in Europe," Journal of Economic Geography, Oxford University Press, vol. 15(6), pages 1227-1259.
    53. Ariel Pakes & Zvi Griliches, 1984. "Patents and R&D at the Firm Level: A First Look," NBER Chapters, in: R&D, Patents, and Productivity, pages 55-72, National Bureau of Economic Research, Inc.
    54. Segerstrom, Paul S, 1998. "Endogenous Growth without Scale Effects," American Economic Review, American Economic Association, vol. 88(5), pages 1290-1310, December.
    55. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    56. Jon Nelson & Peter Kennedy, 2009. "The Use (and Abuse) of Meta-Analysis in Environmental and Natural Resource Economics: An Assessment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 345-377, March.
    57. Joonkyung Ha & Peter Howitt, 2007. "Accounting for Trends in Productivity and R&D: A Schumpeterian Critique of Semi-Endogenous Growth Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(4), pages 733-774, June.
    58. Ramani, Shyama V. & El-Aroui, Mhamed-Ali & Carrère, Myriam, 2008. "On estimating a knowledge production function at the firm and sector level using patent statistics," Research Policy, Elsevier, vol. 37(9), pages 1568-1578, October.
    59. Sedgley, Norman & Elmslie, Bruce, 2010. "Reinterpreting the Jones critique: A time series approach to testing and understanding idea driven growth models with transitional dynamics," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 103-117, March.
    60. Shyama Ramani & Mhamed-Ali El-Aroui & Myriam Carrère, 2008. "On estimating a knowledge production function at the firm and sectoral level using patent statistics," Post-Print hal-00365396, HAL.
    61. Manuel A. Gómez & Tiago Neves Sequeira, 2014. "Should the US increase subsidies to R&D? Lessons from an endogenous growth theory," Oxford Economic Papers, Oxford University Press, vol. 66(1), pages 254-282, January.
    62. Peter Howitt, 1999. "Steady Endogenous Growth with Population and R & D Inputs Growing," Journal of Political Economy, University of Chicago Press, vol. 107(4), pages 715-730, August.
    63. Jinghai Zheng, 2015. "Knowledge production function and Malmquist index regression equations as a dynamic system," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(1-2), pages 5-21, March.
    64. Acs, Zoltan J. & Anselin, Luc & Varga, Attila, 2002. "Patents and innovation counts as measures of regional production of new knowledge," Research Policy, Elsevier, vol. 31(7), pages 1069-1085, September.
    65. Olivier Parent, 2012. "A space-time analysis of knowledge production," Journal of Geographical Systems, Springer, vol. 14(1), pages 49-73, January.
    66. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer.
    67. Dinopoulos, Elias & Thompson, Peter, 1998. "Schumpeterian Growth without Scale Effects," Journal of Economic Growth, Springer, vol. 3(4), pages 313-335, December.
    68. Peri, Giovanni, 2003. "Knowledge Flows, R&D Spillovers and Innovation," ZEW Discussion Papers 03-40, ZEW - Leibniz Centre for European Economic Research.
    69. Hristos Doucouliagos & Patrice Laroche, 2009. "Unions and Profits: A meta-regression Analysis," Post-Print hal-00648569, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Herzer, Dierk, 2020. "Semi-endogenous versus Schumpeterian growth models: a critical review of the literature and new evidence," MPRA Paper 100383, University Library of Munich, Germany.
    2. Matilde Cardoso & Pedro Cunha Neves & Oscar Afonso & Elena Sochirca, 0. "The effects of offshoring on wages: a meta-analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 0, pages 1-31.
    3. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    4. Ugur, Mehment & Vivarelli, Marco, 2020. "The role of innovation in industrial dynamics and productivity growth: a survey of the literature," GLO Discussion Paper Series 648, Global Labor Organization (GLO).
    5. Afonso, Oscar & Neves, Pedro Cunha & Pinto, Tiago, 2020. "The non-observed economy and economic growth: A meta-analysis," Economic Systems, Elsevier, vol. 44(1).
    6. Yongfeng Zhu & Zilong Wang & Shilei Qiu & Lingling Zhu, 2019. "Effects of Environmental Regulations on Technological Innovation Efficiency in China’s Industrial Enterprises: A Spatial Analysis," Sustainability, MDPI, Open Access Journal, vol. 11(7), pages 1-19, April.
    7. Mehmet Ugur & Marco Vivarelli, 2021. "Innovation, firm survival and productivity: the state of the art," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 30(5), pages 433-467, July.
    8. Neves, Pedro Cunha & Afonso, Oscar & Silva, Diana & Sochirca, Elena, 2021. "The link between intellectual property rights, innovation, and growth: A meta-analysis," Economic Modelling, Elsevier, vol. 97(C), pages 196-209.
    9. Matilde Cardoso & Pedro Cunha Neves & Oscar Afonso & Elena Sochirca, 2021. "The effects of offshoring on wages: a meta-analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(1), pages 149-179, February.
    10. Chatterjee, Diti & Dinar, Ariel & González-Rivera, Gloria, 2018. "An empirical knowledge production function of agricultural research and extension: The case of the University of California Cooperative Extension," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 290-297.
    11. Tiago Neves Sequeira & Pedro Cunha Neves, 2020. "Stepping on toes in the production of knowledge: a meta-regression analysis," Applied Economics, Taylor & Francis Journals, vol. 52(3), pages 260-274, January.
    12. Crowley, Frank & Jordan, Declan, 2018. "The trade-off between absorptive capacity and appropriability of the returns to innovation effort," SRERC Working Paper Series SRERCWP2018-2, University College Cork (UCC), Spatial and Regional Economic Research Centre (SRERC).
    13. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    14. Mehmet Ugur & Marco Vivarelli, 2020. "Technology, industrial dynamics and productivity: a critical survey," DISCE - Quaderni del Dipartimento di Politica Economica dipe0011, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tiago Neves Sequeira & Pedro Cunha Neves, 2020. "Stepping on toes in the production of knowledge: a meta-regression analysis," Applied Economics, Taylor & Francis Journals, vol. 52(3), pages 260-274, January.
    2. Pedro Neves & Tiago Sequeira, 2017. "The Production of Knowledge: A Meta-Regression Analysis," CEFAGE-UE Working Papers 2017_03, University of Evora, CEFAGE-UE (Portugal).
    3. Herzer, Dierk, 2020. "Semi-endogenous versus Schumpeterian growth models: a critical review of the literature and new evidence," MPRA Paper 100383, University Library of Munich, Germany.
    4. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 3, pages 1-72.
    5. A. Minniti & F. Venturini, 2014. "R&D Policy and Schumpeterian Growth: Theory and Evidence," Working Papers wp945, Dipartimento Scienze Economiche, Universita' di Bologna.
    6. Minniti, Antonio & Venturini, Francesco, 2017. "The long-run growth effects of R&D policy," Research Policy, Elsevier, vol. 46(1), pages 316-326.
    7. Raquel Ortega-Argilés, 2013. "R&D, knowledge, economic growth and the transatlantic productivity gap," Chapters, in: Frank Giarratani & Geoffrey J.D. Hewings & Philip McCann (ed.), Handbook of Industry Studies and Economic Geography, chapter 11, pages 271-302, Edward Elgar Publishing.
    8. Juhro, Solikin M. & Narayan, Paresh Kumar & Iyke, Bernard Njindan & Trisnanto, Budi, 2020. "Is there a role for Islamic finance and R&D in endogenous growth models in the case of Indonesia?," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    9. James B. Ang & Jakob B. Madsen, 2011. "Can Second-Generation Endogenous Growth Models Explain the Productivity Trends and Knowledge Production in the Asian Miracle Economies?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1360-1373, November.
    10. Zheng, Zhijie & Huang, Chien-Yu & Yang, Yibai, 2021. "Inflation And Growth: A Non-Monotonic Relationship In An Innovation-Driven Economy," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1199-1226, July.
    11. Steven Bond-Smith, 2019. "The unintended consequences of increasing returns to scale in geographical economics," Bankwest Curtin Economics Centre Working Paper series WP1904, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    12. Jakob B. Madsen & Minoo Farhadi, 2018. "International Technology Spillovers and Growth over the Past 142 Years: The Role of Genetic Proximity," Economica, London School of Economics and Political Science, vol. 85(338), pages 329-359, April.
    13. Elie Gray & André Grimaud, 2016. "The Lindahl equilibrium in Schumpeterian growth models," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 101-142, March.
    14. Marios Zachariadis, 2003. "R&D, innovation, and technological progress: a test of the Schumpeterian framework without scale effects," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(3), pages 566-586, August.
    15. Ang, James B., 2010. "Financial Reforms, Patent Protection, and Knowledge Accumulation in India," World Development, Elsevier, vol. 38(8), pages 1070-1081, August.
    16. Madsen, Jakob B. & Saxena, Shishir & Ang, James B., 2010. "The Indian growth miracle and endogenous growth," Journal of Development Economics, Elsevier, vol. 93(1), pages 37-48, September.
    17. Jakob Madsen & James Ang & Rajabrata Banerjee, 2010. "Four centuries of British economic growth: the roles of technology and population," Journal of Economic Growth, Springer, vol. 15(4), pages 263-290, December.
    18. Elie Gray & André Grimaud, 2016. "The Lindahl equilibrium in Schumpeterian growth models," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 101-142, March.
    19. Venturini, Francesco, 2012. "Looking into the black box of Schumpeterian growth theories: An empirical assessment of R&D races," European Economic Review, Elsevier, vol. 56(8), pages 1530-1545.
    20. Banerjee, Rajabrata & Roy, Saikat Sinha, 2014. "Human capital, technological progress and trade: What explains India's long run growth?," Journal of Asian Economics, Elsevier, vol. 30(C), pages 15-31.

    More about this item

    Keywords

    Spillover effect; Knowledge production function; R&D; National innovative capacity; Research policy;
    All these keywords.

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:respol:v:47:y:2018:i:4:p:750-767. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/respol .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/respol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.