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Investigating the effect of efficiency and technical changes on productivity

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  • Halkos, George
  • Bampatsou, Christina

Abstract

Better management of natural capital, an efficient allocation of resources and technological progress can contribute to productivity change. The present study uses Data Envelopment Analysis to determine the Total Factor Productivity Index, in the case of the EU15 countries, using panel data on energy consumption for a period spanning from 1995 to 2011. The aim is not only to determine the index of total factor productivity change but also to record its driving forces for the decision making units under consideration, showing whether the productivity gains come mainly from an improvement in efficiency or derive merely as a result of technological progress. In terms of eco-efficiency, the paper contributes in showing whether the overall development is more driven by input-saving or environmental-saving processes. The detailed decomposition offers policy makers additional insights into more valuable reference material representing the driving forces of productivity gains or losses.

Suggested Citation

  • Halkos, George & Bampatsou, Christina, 2016. "Investigating the effect of efficiency and technical changes on productivity," MPRA Paper 76287, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:76287
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    References listed on IDEAS

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    1. Carol Corrado & Charles Hulten & Daniel Sichel, 2005. "Measuring Capital and Technology: An Expanded Framework," NBER Chapters, in: Measuring Capital in the New Economy, pages 11-46, National Bureau of Economic Research, Inc.
    2. Mahlberg, Bernhard & Luptacik, Mikulas & Sahoo, Biresh K., 2011. "Examining the drivers of total factor productivity change with an illustrative example of 14 EU countries," Ecological Economics, Elsevier, vol. 72(C), pages 60-69.
    3. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
    4. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    5. Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis, 2015. "A Two-stage approach for energy efficiency analysis in European Union countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    6. Bampatsou, Christina & Papadopoulos, Savas & Zervas, Efthimios, 2013. "Technical efficiency of economic systems of EU-15 countries based on energy consumption," Energy Policy, Elsevier, vol. 55(C), pages 426-434.
    7. Halkos, George & Tsilika, Kyriaki, 2014. "Analyzing and visualizing the synergistic impact mechanisms of climate change related costs," MPRA Paper 55459, University Library of Munich, Germany.
    8. 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.
    9. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Marginal Rate of Transformation and Rate of Substitution measured by DEA environmental assessment: Comparison among European and North American nations," Energy Economics, Elsevier, vol. 56(C), pages 270-287.
    10. Golany, Boaz & Thore, Sten, 1997. "The Economic and Social Performance of Nations: Efficiency and Returns to Scale," Socio-Economic Planning Sciences, Elsevier, vol. 31(3), pages 191-204, September.
    11. Carol Corrado & John Haltiwanger & Daniel Sichel, 2005. "Measuring Capital in the New Economy," NBER Books, National Bureau of Economic Research, Inc, number corr05-1, July.
    12. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    13. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    14. Christina Bampatsou & George Hadjiconstantinou, 2009. "The use of the DEA method for simultaneous analysis of the interrelationships among economic growth, environmental pollution and energy consumption," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 2(2), pages 65-86, December.
    15. Fischer, Manfred M. & Scherngell, Thomas & Reismann, Martin, 2008. "Knowledge spillovers and total factor productivity. Evidence using a spatial panel data model," MPRA Paper 77762, University Library of Munich, Germany.
    16. Halkos, George E. & Paizanos, Epameinondas Α., 2016. "The effects of fiscal policy on CO2 emissions: Evidence from the U.S.A," Energy Policy, Elsevier, vol. 88(C), pages 317-328.
    17. Long, Xingle & Zhao, Xicang & Cheng, Faxin, 2015. "The comparison analysis of total factor productivity and eco-efficiency in China's cement manufactures," Energy Policy, Elsevier, vol. 81(C), pages 61-66.
    18. Fagerberg, Jan, 1994. "Technology and International Differences in Growth Rates," Journal of Economic Literature, American Economic Association, vol. 32(3), pages 1147-1175, September.
    19. Sheng, Yu & Wu, Yanrui & Shi, Xunpeng & Zhang, Dandan, 2015. "Energy trade efficiency and its determinants: A Malmquist index approach," Energy Economics, Elsevier, vol. 50(C), pages 306-314.
    20. Apergis, Nicholas & Aye, Goodness C. & Barros, Carlos Pestana & Gupta, Rangan & Wanke, Peter, 2015. "Energy efficiency of selected OECD countries: A slacks based model with undesirable outputs," Energy Economics, Elsevier, vol. 51(C), pages 45-53.
    21. Makridou, Georgia & Andriosopoulos, Kostas & Doumpos, Michael & Zopounidis, Constantin, 2016. "Measuring the efficiency of energy-intensive industries across European countries," Energy Policy, Elsevier, vol. 88(C), pages 573-583.
    22. Chien-Ming Chen & Magali A. Delmas, 2012. "Measuring Eco-Inefficiency: A New Frontier Approach," Operations Research, INFORMS, vol. 60(5), pages 1064-1079, October.
    23. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    24. Halkos, George & Skouloudis, Antonis, 2015. "Exploring corporate disclosure on climate change: Evidence from the Greek business sector," MPRA Paper 64566, University Library of Munich, Germany.
    25. Fare, R. & Grosskopf, S. & Roos, P., 1995. "Productivity and quality changes in Swedish pharmacies," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 137-144, April.
    26. Halkos, George, 2014. "The Economics of Climate Change Policy: Critical review and future policy directions," MPRA Paper 56841, University Library of Munich, Germany.
    27. Halkos, George, 2010. "Construction of abatement cost curves: The case of F-gases," MPRA Paper 26532, University Library of Munich, Germany.
    28. Halkos, George & Tsilika, Kyriaki, 2016. "Climate change impacts: Understanding the synergetic interactions using graph computing," MPRA Paper 75037, University Library of Munich, Germany.
    29. Luis R. Murillo-Zamorano, 2005. "The Role of Energy in Productivity Growth: A Controversial Issue?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 69-88.
    30. Halkos, George & Polemis, Michael, 2016. "The good, the bad and the ugly? Balancing environmental and economic impacts towards efficiency," MPRA Paper 72132, University Library of Munich, Germany.
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    Cited by:

    1. Halkos, George, 2018. "Environment and Sustainable Development," MPRA Paper 86490, University Library of Munich, Germany.

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    More about this item

    Keywords

    Energy; Energy Consumption; Environmental Economics; Carbon emissions; Eco-Efficiency; Data envelopment analysis; Total factor productivity index.;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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