IDEAS home Printed from https://ideas.repec.org/p/aug/augsbe/0190.html
   My bibliography  Save this paper

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

Author

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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: https://opus.bibliothek.uni-augsburg.de/opus4/files/27674/190.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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, June.
    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.
    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. C. Mantzavinos, 2006. "The institutional-evolutionary antitrust model," European Journal of Law and Economics, Springer, vol. 22(3), pages 273-291, November.
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    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.

    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. Jens J. Krüger, 2001. "The Global Trends of Total Factor Productivity. Evidence from the Nonparametric Malmquist Index Approach," Working Paper Series B 2001-01, Friedrich Schiller University of Jena, School of of Economics and Business Administration.
    2. Afsharian, Mohsen & Bogetoft, Peter, 2023. "Limiting flexibility in nonparametric efficiency evaluations: An ex post k-centroid clustering approach," European Journal of Operational Research, Elsevier, vol. 311(2), pages 633-647.
    3. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    4. Danish Ahmed SIDDIQUI & Qazi Masood AHMED, 2019. "Are institutions a crucial determinant of cross country economic efficiency? A two-stage double bootstrap data envelopment analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(618), S), pages 89-114, Spring.
    5. Zhu, Joe, 2000. "Further discussion on linear production functions and DEA," European Journal of Operational Research, Elsevier, vol. 127(3), pages 611-618, December.
    6. Bao-Ngoc Tong & Cheng-Ping Cheng & Lien-Wen Liang & Yi-Jun Liu, 2023. "Using Network DEA to Explore the Effect of Mobile Payment on Taiwanese Bank Efficiency," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    7. Harald Dyckhoff & Katrin Allen, 1999. "Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)," Schmalenbach Journal of Business Research, Springer, vol. 51(5), pages 411-436, May.
    8. Fangqing Wei & Junfei Chu & Jiayun Song & Feng Yang, 2019. "A cross-bargaining game approach for direction selection in the directional distance function," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 787-807, September.
    9. Phung, Manh-Trung & Cheng, Cheng-Ping & Guo, Chuanyin & Kao, Chen-Yu, 2020. "Mixed Network DEA with Shared Resources: A Case of Measuring Performance for Banking Industry," Operations Research Perspectives, Elsevier, vol. 7(C).
    10. Rabeb KAMMOUN & Souhir ABBES, 2020. "The technical efficiency of Tunisian ports: Comparing data envelopment analysis and stochastic frontier analysis scores," Romanian Journal of Economics, Institute of National Economy, vol. 51(2(60)), pages 83-102, December.
    11. Kuussaari, Harri, 1993. "Productive efficiency in Finnish local banking during 1985-1990," Research Discussion Papers 14/1993, Bank of Finland.
    12. Somesh K. Mathur, 2009. "Financial Analysis of the ICT Industry," Journal of Infrastructure Development, India Development Foundation, vol. 1(1), pages 17-43, June.
    13. Kao, Chiang & Liu, Shiang-Tai, 2020. "A slacks-based measure model for calculating cross efficiency in data envelopment analysis," Omega, Elsevier, vol. 95(C).
    14. Koronakos, Gregory & Sotiros, Dimitris & Despotis, Dimitris K., 2019. "Reformulation of Network Data Envelopment Analysis models using a common modelling framework," European Journal of Operational Research, Elsevier, vol. 278(2), pages 472-480.
    15. Kerstens, Kristiaan & Vanden Eeckaut, Philippe, 1999. "Estimating returns to scale using non-parametric deterministic technologies: A new method based on goodness-of-fit," European Journal of Operational Research, Elsevier, vol. 113(1), pages 206-214, February.
    16. Petros Hadjicostas & Andreas Soteriou, 2010. "Different orders of one-sided scale elasticities in multi-output production," Journal of Productivity Analysis, Springer, vol. 33(2), pages 147-167, April.
    17. Huang, Shwu-Huei & Yu, Ming-Miin & Huang, Ya-Ling, 2022. "Evaluation of the efficiency of the local tax administration in Taiwan: Application of a dynamic network data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    18. Zhishuo Zhang & Yao Xiao & Huayong Niu, 2022. "DEA and Machine Learning for Performance Prediction," Mathematics, MDPI, vol. 10(10), pages 1-23, May.
    19. Ece Ucar & E. Ertugrul Karsak, 2024. "Evaluating Educational Performance of OECD Countries with Common-Weight DEA-Based Models," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 13673-13700, September.
    20. Joe Zhu & Zhao-Han Shen, 1995. "A discussion of testing DMUs' returns to scale," European Journal of Operational Research, Elsevier, vol. 81(3), pages 590-596, March.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aug:augsbe:0190. See general information about how to correct material in RePEc.

    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: Dr. Simone Raab-Kratzmeier (email available below). General contact details of provider: https://edirc.repec.org/data/ivaugde.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.