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Eco-efficiency analysis in generalized IO models: Methods and examples

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  • Gurgul, Henryk
  • Lach, Łukasz

Abstract

Performance assessment in the presence of undesirable outputs, such as pollutant emissions, is usually modelled within the framework of data envelopment analysis (DEA). In this paper we propose a new approach to measuring eco-efficiency in generalized input-output (gIO) models which may be used as a supplementary method to traditional DEA. Unlike DEA this approach takes into account detailed data on intersectoral flows in supply- and demand-driven gIO models. We focus on cases of traditional and sector-size-adjusted measures of interindustry linkages in gIO models and in each case we suggest respective indices of eco-efficiency and prove their usefulness in policymaking. In order to illustrate possible applications of the new approach we conduct an empirical analysis aimed at identifying the eco-efficient sectors based on the 1995 and 2009 national input-output tables and environmental accounts for Poland which are provided by the World Input Output Data (WIOD) database.

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  • Gurgul, Henryk & Lach, Łukasz, 2019. "Eco-efficiency analysis in generalized IO models: Methods and examples," MPRA Paper 96604, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:96604
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    as
    1. Tajbakhsh, Alireza & Hassini, Elkafi, 2018. "Evaluating sustainability performance in fossil-fuel power plants using a two-stage data envelopment analysis," Energy Economics, Elsevier, vol. 74(C), pages 154-178.
    2. Kim, Jeayoon & Park, Kwangwoo, 2018. "Effect of the Clean Development Mechanism on the deployment of renewable energy: Less developed vs. well-developed financial markets," Energy Economics, Elsevier, vol. 75(C), pages 1-13.
    3. Nicole Palan, 2010. "Measurement of Specialization – The Choice of Indices," FIW Working Paper series 062, FIW.
    4. Muller, Christophe & Yan, Huijie, 2018. "Household fuel use in developing countries: Review of theory and evidence," Energy Economics, Elsevier, vol. 70(C), pages 429-439.
    5. Knox Lovell, C. A. & Pastor, Jesus T. & Turner, Judi A., 1995. "Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries," European Journal of Operational Research, Elsevier, vol. 87(3), pages 507-518, December.
    6. Lenzen, Manfred, 2003. "Environmentally important paths, linkages and key sectors in the Australian economy," Structural Change and Economic Dynamics, Elsevier, vol. 14(1), pages 1-34, March.
    7. Wei, Yigang & Li, Yan & Wu, Meiyu & Li, Yingbo, 2019. "The decomposition of total-factor CO2 emission efficiency of 97 contracting countries in Paris Agreement," Energy Economics, Elsevier, vol. 78(C), pages 365-378.
    8. Lukasz Lach, 2011. "Impact of hard coal usage for metal production on economic growth of Poland," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 9, pages 103-120.
    9. Henryk Gurgul & Łukasz Lach, 2018. "Some remarks on a social network approach to identifying key sectors," Economic Systems Research, Taylor & Francis Journals, vol. 30(1), pages 120-135, January.
    10. Umed Temurshoev & Jan Oosterhaven, 2014. "Analytical and Empirical Comparison of Policy-Relevant Key Sector Measures," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(3), pages 284-308, September.
    11. E G Gomes & M P E Lins, 2008. "Modelling undesirable outputs with zero sum gains data envelopment analysis models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 616-623, May.
    12. Sueyoshi, Toshiyuki & Wang, Derek, 2018. "DEA environmental assessment on US petroleum industry: Non-radial approach with translation invariance in time horizon," Energy Economics, Elsevier, vol. 72(C), pages 276-289.
    13. Miller,Ronald E. & Blair,Peter D., 2009. "Input-Output Analysis," Cambridge Books, Cambridge University Press, number 9780521517133.
    14. Miller,Ronald E. & Blair,Peter D., 2009. "Input-Output Analysis," Cambridge Books, Cambridge University Press, number 9780521739023.
    15. Timo Kuosmanen, 2005. "Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1077-1082.
    16. Angela Köppl & Stefan P. Schleicher, 2018. "What Will Make Energy Systems Sustainable?," Sustainability, MDPI, vol. 10(7), pages 1-13, July.
    17. Henryk Gurgul & Łukasz Lach, 2019. "On approximating the accelerator part in dynamic input–output models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(1), pages 219-239, March.
    18. Yaisawarng, Suthathip & Klein, J Douglass, 1994. "The Effects of Sulfur Dioxide Controls on Productivity Change in the U.S. Electric Power Industry," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 447-460, August.
    19. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    20. Zofio, Jose L. & Prieto, Angel M., 2001. "Environmental efficiency and regulatory standards: the case of CO2 emissions from OECD industries," Resource and Energy Economics, Elsevier, vol. 23(1), pages 63-83, January.
    21. Garrett-Peltier, Heidi, 2017. "Green versus brown: Comparing the employment impacts of energy efficiency, renewable energy, and fossil fuels using an input-output model," Economic Modelling, Elsevier, vol. 61(C), pages 439-447.
    22. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    23. James Odeck & Abdulrahim Alkadi, 2001. "Evaluating efficiency in the Norwegian bus industry using data envelopment analysis," Transportation, Springer, vol. 28(3), pages 211-232, August.
    24. Henryk Gurgul & Lukasz Lach, 2011. "The interdependence between energy consumption and economic growth in the Polish economy in the last decade," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 9, pages 25-48.
    25. Allevi, E. & Basso, A. & Bonenti, F. & Oggioni, G. & Riccardi, R., 2019. "Measuring the environmental performance of green SRI funds: A DEA approach," Energy Economics, Elsevier, vol. 79(C), pages 32-44.
    26. Henryk Gurgul & Łukasz Lach, 2016. "Simulating evolution of interindustry linkages in endogenous dynamic IO model with layers of techniques," Metroeconomica, Wiley Blackwell, vol. 67(4), pages 632-666, November.
    27. Henryk Gurgul & Lukasz Lach, 2016. "Comparative advantage of the EU in global value chains: How important and efficient are new EU members in transition?," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 17(1), pages 21-58.
    28. Giuseppe Nicoletti & Stefano Scarpetta & Olivier Boylaud, 2000. "Summary Indicators of Product Market Regulation with an Extension to Employment Protection Legislation," OECD Economics Department Working Papers 226, OECD Publishing.
    29. Kounetas, Konstantinos Elias, 2018. "Energy consumption and CO2 emissions convergence in European Union member countries. A tonneau des Danaides?," Energy Economics, Elsevier, vol. 69(C), pages 111-127.
    30. Avkiran, Necmi K. & Rowlands, Terry, 2008. "How to better identify the true managerial performance: State of the art using DEA," Omega, Elsevier, vol. 36(2), pages 317-324, April.
    31. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    32. Freire-González, Jaume & Puig-Ventosa, Ignasi, 2019. "Reformulating taxes for an energy transition," Energy Economics, Elsevier, vol. 78(C), pages 312-323.
    33. Defourny, Jacques & Thorbecke, Erik, 1984. "Structural Path Analysis and Multiplier Decomposition within a Social Accounting Matrix Framework," Economic Journal, Royal Economic Society, vol. 94(373), pages 111-136, March.
    34. Brunel, Claire & Johnson, Erik Paul, 2019. "Two birds, one stone? Local pollution regulation and greenhouse gas emissions," Energy Economics, Elsevier, vol. 78(C), pages 1-12.
    35. Aklin, M. & Bayer, P. & Harish, S.P. & Urpelainen, J., 2018. "Economics of household technology adoption in developing countries: Evidence from solar technology adoption in rural India," Energy Economics, Elsevier, vol. 72(C), pages 35-46.
    36. Mahlberg, Bernhard & Luptacik, Mikulas, 2014. "Eco-efficiency and eco-productivity change over time in a multisectoral economic system," European Journal of Operational Research, Elsevier, vol. 234(3), pages 885-897.
    37. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    38. Miguel angel Tarancon & Fernando Callejas & Erik Dietzenbacher & Michael Lahr, 2008. "A Revision of the Tolerable Limits Approach: Searching for the Important Coefficients," Economic Systems Research, Taylor & Francis Journals, vol. 20(1), pages 75-95.
    39. Rolf Färe & Shawna Grosskopf, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1070-1074.
    40. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    41. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    42. Prieto, Angel M. & Zofio, Jose L., 2007. "Network DEA efficiency in input-output models: With an application to OECD countries," European Journal of Operational Research, Elsevier, vol. 178(1), pages 292-304, April.
    43. Gurgul, Henryk & Lach, Łukasz, 2015. "Key sectors after a decade of transformation: Evidence from Poland," MPRA Paper 72739, University Library of Munich, Germany.
    44. 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.
    45. Zheng, Haitao & Fang, Qi & Wang, Cheng & Jiang, Yunyun & Ren, Ruoen, 2018. "Updating China's input-output tables series using MTT method and its comparison," Economic Modelling, Elsevier, vol. 74(C), pages 186-193.
    46. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    47. Ma, Le & Hosseini, M. Reza & Jiang, Weiling & Martek, Igor & Mills, Anthony, 2018. "Energy productivity convergence within the Australian construction industry: A panel data study," Energy Economics, Elsevier, vol. 72(C), pages 313-320.
    48. Pestana Barros, Carlos & Peypoch, Nicolas, 2010. "Productivity changes in Portuguese bus companies," Transport Policy, Elsevier, vol. 17(5), pages 295-302, September.
    49. Thanassoulis, Emmanuel, 1995. "Assessing police forces in England and Wales using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 87(3), pages 641-657, December.
    50. Sun, Shinn, 2002. "Measuring the relative efficiency of police precincts using data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 36(1), pages 51-71, March.
    51. Scheel, Holger, 2001. "Undesirable outputs in efficiency valuations," European Journal of Operational Research, Elsevier, vol. 132(2), pages 400-410, July.
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    More about this item

    Keywords

    generalized input-output models; intersectoral linkages; eco-efficiency; nonlinear optimization;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation

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