IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/48072.html
   My bibliography  Save this paper

International comparison of Environmental performance

Author

Listed:
  • Dubrocard, Anne
  • Prombo, Michel

Abstract

In order to take into account the effects of production on the environment and, more generally, the urgency of finding a path of sustainable development many attempts have been made to set productivity growth measurements, including the negative impact of pollution, the production of goods and services generates. This paper present programs that have been developed to extend the measurement of total factor productivity and its components (technical progress and technical efficiency), to the consideration of environmental performance minimizing infeasibility problems sometime encountered with usual approaches using simple Malmquist indices. This study shows that the choice of a sequential index has a significant impact on productivity measures and on the comparison of the resulting performance.

Suggested Citation

  • Dubrocard, Anne & Prombo, Michel, 2012. "International comparison of Environmental performance," MPRA Paper 48072, University Library of Munich, Germany, revised 05 Jul 2013.
    • Handle: RePEc:pra:mprapa:48072
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/48072/1/MPRA_paper_48072.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/49750/1/MPRA_paper_49750.pdf
    File Function: revised version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/50724/1/MPRA_paper_50724.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yoruk, BarIs K. & Zaim, Osman, 2005. "Productivity growth in OECD countries: A comparison with Malmquist indices," Journal of Comparative Economics, Elsevier, vol. 33(2), pages 401-420, June.
    2. William L. Weber & Bruce Domazlicky, 2001. "Productivity Growth and Pollution in State Manufacturing," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 195-199, February.
    3. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409, August.
    4. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    5. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    6. Jean-Claude Berthélemy & Aristomène Varoudakis & Sébastien Dessus, 1997. "Capital humain et croissance : le rôle du régime commercial," Revue Économique, Programme National Persée, vol. 48(3), pages 419-428.
    7. Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
    8. Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
    9. Victoria Shestalova, 2003. "Sequential Malmquist Indices of Productivity Growth: An Application to OECD Industrial Activities," Journal of Productivity Analysis, Springer, vol. 19(2), pages 211-226, April.
    10. Nakano, Makiko & Managi, Shunsuke, 2008. "Regulatory reforms and productivity: An empirical analysis of the Japanese electricity industry," Energy Policy, Elsevier, vol. 36(1), pages 201-209, January.
    11. 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.
    12. Oh, Dong-Huyn, 2009. "A Global Malmquist-Luenberger Productivity Index - an application to OECD countries 1990-2004," Working Paper Series in Economics and Institutions of Innovation 164, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    13. Fare, Rolf, 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.
    14. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "Measuring environmental performance under different environmental DEA technologies," Energy Economics, Elsevier, vol. 30(1), pages 1-14, January.
    15. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(3), pages 249-283.
    16. Quah, Danny, 1993. "Empirical cross-section dynamics in economic growth," European Economic Review, Elsevier, vol. 37(2-3), pages 426-434, April.
    17. Robert J. Barro & Xavier Sala-i-Martin, 1991. "Convergence across States and Regions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(1), pages 107-182.
    18. Ball, V. Eldon & Lovell, C.A. Knox & Luu, H. & Nehring, Richard F., 2004. "Incorporating Environmental Impacts in the Measurement of Agricultural Productivity Growth," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-25, December.
    19. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    20. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    21. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 223-251, April.
    22. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 1127-1170.
    Full references (including those not matched with items on IDEAS)

    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. Dubrocard, Anne & Prombo, Michel, 2012. "Performance environnementale et mesure de la productivité," MPRA Paper 41456, University Library of Munich, Germany.
    2. Juan Du & Yongrui Duan & Jinghua Xu, 2019. "The infeasible problem of Malmquist–Luenberger index and its application on China’s environmental total factor productivity," Annals of Operations Research, Springer, vol. 278(1), pages 235-253, July.
    3. Juan Aparicio & Javier Barbero & Magdalena Kapelko & Jesus T. Pastor & Jose L. Zofio, 2016. "Environmental Productivity Change in World Air Emissions: A new Malmquist-Luenberger Index Approach," JRC Research Reports JRC104083, Joint Research Centre.
    4. Oh, Dong-hyun & Heshmati, Almas, 2010. "A sequential Malmquist-Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology," Energy Economics, Elsevier, vol. 32(6), pages 1345-1355, November.
    5. Duman, Yavuz Selman & Kasman, Adnan, 2018. "Environmental technical efficiency in EU member and candidate countries: A parametric hyperbolic distance function approach," Energy, Elsevier, vol. 147(C), pages 297-307.
    6. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    7. Manello, Alessandro, 2017. "Productivity growth, environmental regulation and win–win opportunities: The case of chemical industry in Italy and Germany," European Journal of Operational Research, Elsevier, vol. 262(2), pages 733-743.
    8. Oh, Donhyun & Heshmati, Almas, 2009. "A Sequential Malmquist-Luenberger Productivity Index," Working Paper Series in Economics and Institutions of Innovation 181, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    9. Víctor Giménez & Claudio Thieme & Diego Prior & Emili Tortosa-Ausina, 2017. "An international comparison of educational systems: a temporal analysis in presence of bad outputs," Journal of Productivity Analysis, Springer, vol. 47(1), pages 83-101, February.
    10. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    11. Aparicio, Juan & Pastor, Jesus T. & Zofio, Jose L., 2013. "On the inconsistency of the Malmquist–Luenberger index," European Journal of Operational Research, Elsevier, vol. 229(3), pages 738-742.
    12. Zhang, Ning & Choi, Yongrok, 2013. "A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea," Energy Policy, Elsevier, vol. 62(C), pages 324-332.
    13. Yongrok Choi & Dong-hyun Oh & Ning Zhang, 2015. "Environmentally sensitive productivity growth and its decompositions in China: a metafrontier Malmquist–Luenberger productivity index approach," Empirical Economics, Springer, vol. 49(3), pages 1017-1043, November.
    14. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    15. Thanh Tam Nguyen-Huu & Minh Nguyen-Khac & Quoc Tran-Nam, 2017. "The role of environmental regulations and innovation in TFP convergence: Evidence from manufacturing SMEs in Vietnam," WIDER Working Paper Series 092, World Institute for Development Economic Research (UNU-WIDER).
    16. Thanh Tam Nguyen-Huu & Minh Nguyen-Khac & Quoc Tran-Nam, 2017. "The role of environmental regulations and innovation in TFP convergence: Evidence from manufacturing SMEs in Vietnam," WIDER Working Paper Series wp-2017-92, World Institute for Development Economic Research (UNU-WIDER).
    17. Bansal, Pooja & Kumar, Sunil & Mehra, Aparna & Gulati, Rachita, 2022. "Developing two dynamic Malmquist-Luenberger productivity indices: An illustrated application for assessing productivity performance of Indian banks," Omega, Elsevier, vol. 107(C).
    18. Lisann Krautzberger & Heike Wetzel, 2012. "Transport and CO 2 : Productivity Growth and Carbon Dioxide Emissions in the European Commercial Transport Industry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(3), pages 435-454, November.
    19. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    20. Oh, Dong-hyun, 2010. "A metafrontier approach for measuring an environmentally sensitive productivity growth index," Energy Economics, Elsevier, vol. 32(1), pages 146-157, January.

    More about this item

    Keywords

    productivity growth; environmental efficiency; DEA; directional distance; technological progress; technical efficiency; beta-convergence; sigma-convergence;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

    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:pra:mprapa:48072. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.