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Heterogeneity and Evolutionary Change- Empirical Conception, Findings and Unresolved Issues

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Abstract

In this position paper we deal with the conception of heterogeneity as both the force and the result of evolutionary change. We ask, how this heterogeneity can be measured empirically and how we can get a measure which allows to get a broad comparable empirical account especially on several levels of aggregation. Based on this discussion we suggest that for several questions the measures of total factor productivity (TFP) and local changes of TFP seem to be acceptable candidates for measuring heterogeneity and its dynamics. Examples out of a number of empirical investigations applying this measures show how interesting empirical facts about evolutionary change on several levels of aggregation can be detected. The paper concludes by raising a number of unresolved issues mainly related to the question about the relationship between evolutionary dynamics on several levels of aggregation.

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  • Uwe Cantner & Horst Hanusch, 2000. "Heterogeneity and Evolutionary Change- Empirical Conception, Findings and Unresolved Issues," Discussion Paper Series 190, Universitaet Augsburg, Institute for Economics.
    • Handle: RePEc:aug:augsbe:0190
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    1. C. Antonelli, 2007. "Localized Technological Change," Chapters, in: Horst Hanusch & Andreas Pyka (ed.), Elgar Companion to Neo-Schumpeterian Economics, chapter 16, Edward Elgar Publishing.
    2. Cantner, Uwe & Pyka, Andreas, 1998. "Absorbing Technological Spillovers: Simulations in an Evolutionary Framework," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 7(2), pages 369-397, June.
    3. Jacques Lesourne & André Orléan & Bernard Walliser, 2006. "Evolutionary Microeconomics," Springer Books, Springer, number 978-3-540-28537-3, July.
    4. Barro, Robert J. & Lee, Jong-Wha, 1993. "International comparisons of educational attainment," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 363-394, December.
    5. Andreas Pyka & Jens J. Kruger & Uwe Cantner, 2003. "Twin Peaks: What the Knowledge-based Approach Can Say about the Dynamics of the World Income Distribution," Chapters, in: Pier Paolo Saviotti (ed.), Applied Evolutionary Economics, chapter 9, Edward Elgar Publishing.
    6. A. Charnes & W. W. Cooper, 1962. "Programming with linear fractional functionals," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 9(3‐4), pages 181-186, September.
    7. Chang, Kuo-Ping & Guh, Yeah-Yuh, 1991. "Linear production functions and the data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(2), pages 215-223, May.
    8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    9. Uwe Cantner & Georg Westermann, 1998. "Localized Technological Progress And Industry Structure: An Empirical Approach," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 6(2-3), pages 121-146.
    10. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    11. Jeffrey D. Sachs & Andrew Warner, 1995. "Economic Reform and the Process of Global Integration," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1, 25th A), pages 1-118.
    12. Atkinson, Anthony B & Stiglitz, Joseph E, 1969. "A New View of Technological Change," Economic Journal, Royal Economic Society, vol. 79(315), pages 573-578, September.
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    Cited by:

    1. Chrysostomos Mantzavinos, 2004. "The Institutional-Evolutionary Antitrust Model," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2004_1a, Max Planck Institute for Research on Collective Goods.
    2. Brown, Flor & Domínguez Villalobos, Lilia, 2004. "Measuring technological capabilities in Mexican industry," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    3. Elias Carayannis & Caroline Sipp, 2010. "Why, When, and How are Real Options used in Strategic Technology Venturing?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 1(2), pages 70-85, June.
    4. Bert Balk, 2003. "The Residual: On Monitoring and Benchmarking Firms, Industries, and Economies with Respect to Productivity," Journal of Productivity Analysis, Springer, vol. 20(1), pages 5-47, July.
    5. Mantzavinos C., 2005. "Das institutionenökonomisch-evolutionäre Wettbewerbsleitbild / Competition Policy from an Institutional-Evolutionary Perspective," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(2), pages 205-224, April.
    6. C. Mantzavinos, 2006. "The institutional-evolutionary antitrust model," European Journal of Law and Economics, Springer, vol. 22(3), pages 273-291, November.
    7. Jurgen Essletzbichler & David Rigby, 2005. "Technological evolution as creative destruction of process heterogeneity: evidence from US plant-level data," Economic Systems Research, Taylor & Francis Journals, vol. 17(1), pages 25-45.

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    More about this item

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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