IDEAS home Printed from https://ideas.repec.org/p/eec/wpaper/1304.html
   My bibliography  Save this paper

A dynamic approach to measuring ecological-economic performance with directional distance functions: greenhouse gas emissions in the European Union

Author

Listed:
  • Andrés J. Picazo-Tadeo

    () (Departamento de Economía Aplicada II. Universidad de Valencia)

  • Juana Castillo

    (Departamento de Economía Aplicada II. Universidad de Valencia)

  • Mercedes Beltrán-Esteve

    (Departamento de Economía Aplicada II. Universidad de Valencia)

Abstract

The impact of economic activity on the environment is a matter of growing concern for firm managers, policymakers, researchers and society as a whole. Building on previous work by Kortelainen [Kortelainen, M., 2008. Dynamic environmental performance analysis: A Malmquist index approach. Ecological Economics 64, 701-715], we contribute an approach to assessing dynamic ecological- economic performance, or simply dynamic eco-performance, and its two determinants, ecologicaleconomic efficiency change and technical change, at specific-environmental-pressure level. In doing so, we use Data Envelopment Analysis techniques, directional distance functions and Luenberger indices. Our approach is employed to assess dynamic eco-performance in the emission of greenhouse gases in the European Union-27 over the period 1990-2010. The main result is that eco-performance has been boosted by technical change rather than by increases in eco-efficiency. Accordingly, policy measures aimed at enhancing eco-efficiency are recommended to improve eco-performance in European countries regarding greenhouse gas emissions.

Suggested Citation

  • Andrés J. Picazo-Tadeo & Juana Castillo & Mercedes Beltrán-Esteve, 2013. "A dynamic approach to measuring ecological-economic performance with directional distance functions: greenhouse gas emissions in the European Union," Working Papers 1304, Department of Applied Economics II, Universidad de Valencia.
  • Handle: RePEc:eec:wpaper:1304
    as

    Download full text from publisher

    File URL: ftp://147.156.210.157/RePEc/pdf/eec_1304.pdf
    File Function: First version, 2013
    Download Restriction: no

    References listed on IDEAS

    as
    1. 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.
    2. Mercedes Beltrán-Esteve & José Gómez-Limón & Andrés Picazo-Tadeo & Ernest Reig-Martínez, 2014. "A metafrontier directional distance function approach to assessing eco-efficiency," Journal of Productivity Analysis, Springer, vol. 41(1), pages 69-83, February.
    3. Chambers, Robert G. & Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity Growth in APEC Countries," Working Papers 197843, University of Maryland, Department of Agricultural and Resource Economics.
    4. Zhang, Bing & Bi, Jun & Fan, Ziying & Yuan, Zengwei & Ge, Junjie, 2008. "Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach," Ecological Economics, Elsevier, vol. 68(1-2), pages 306-316, December.
    5. Jean-Philippe Boussemart & Walter Briec & Kristiaan Kerstens & Jean-Christophe Poutineau, 2003. "Luenberger and Malmquist Productivity Indices: Theoretical Comparisons and Empirical Illustration," Bulletin of Economic Research, Wiley Blackwell, vol. 55(4), pages 391-405, October.
    6. Marrero, Gustavo A., 2010. "Greenhouse gases emissions, growth and the energy mix in Europe," Energy Economics, Elsevier, vol. 32(6), pages 1356-1363, November.
    7. Mariam Camarero & Juana Castillo & Andrés Picazo-Tadeo & Cecilio Tamarit, 2013. "Eco-Efficiency and Convergence in OECD Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(1), pages 87-106, May.
    8. Camarero, Mariam & Picazo-Tadeo, Andrés J. & Tamarit, Cecilio, 2013. "Are the determinants of CO2 emissions converging among OECD countries?," Economics Letters, Elsevier, vol. 118(1), pages 159-162.
    9. Mahlberg, Bernhard & Sahoo, Biresh K., 2011. "Radial and non-radial decompositions of Luenberger productivity indicator with an illustrative application," International Journal of Production Economics, Elsevier, vol. 131(2), pages 721-726, June.
    10. Juan Duro & Emilio Padilla, 2013. "Cross-Country Polarisation in CO 2 Emissions Per Capita in the European Union: Changes and Explanatory Factors," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(4), pages 571-591, April.
    11. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Comparing aggregating methods for constructing the composite environmental index: An objective measure," Ecological Economics, Elsevier, vol. 59(3), pages 305-311, September.
    12. Andrés J. Picazo-Tadeo & José A. Gómez-Limón & Ernest Reig-Martínez, 2010. "Assessing farming eco-efficiency: A Data Envelopment Analysis approach," Working Papers 1004, Department of Applied Economics II, Universidad de Valencia.
    13. Picazo-Tadeo, Andrés J. & Beltrán-Esteve, Mercedes & Gómez-Limón, José A., 2012. "Assessing eco-efficiency with directional distance functions," European Journal of Operational Research, Elsevier, vol. 220(3), pages 798-809.
    14. 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.
    15. Rolf Färe & Shawna Grosskopf, 2000. "Theory and Application of Directional Distance Functions," Journal of Productivity Analysis, Springer, vol. 13(2), pages 93-103, March.
    16. Huppes, Gjalt & Ishikawa, Masanobu, 2009. "Eco-efficiency guiding micro-level actions towards sustainability: Ten basic steps for analysis," Ecological Economics, Elsevier, vol. 68(6), pages 1687-1700, April.
    17. 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.
    18. Laurens Cherchye & Willem Moesen & Nicky Rogge & Tom Puyenbroeck, 2007. "An Introduction to ‘Benefit of the Doubt’ Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(1), pages 111-145, May.
    19. Korhonen, Pekka J. & Luptacik, Mikulas, 2004. "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 437-446, April.
    20. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    21. Allen, R. & Thanassoulis, E., 2004. "Improving envelopment in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 363-379, April.
    22. Walter Briec & K. Kerstens, 2009. "Infeasibilities and directional distance functions: with application to the determinateness of the luenberger productivity indicator," Post-Print hal-00372560, HAL.
    23. Picazo-Tadeo, Andres J. & Reig-Martinez, Ernest & Hernandez-Sancho, Francesc, 2005. "Directional distance functions and environmental regulation," Resource and Energy Economics, Elsevier, vol. 27(2), pages 131-142, June.
    24. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    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. hu, zongyi & tang, liwei & su, jin, 2013. "区域环境绩效测度及收敛性分析
      [Regional eco-performance measure and its convergence]
      ," MPRA Paper 60367, University Library of Munich, Germany.
    2. Tang, Liwei & Hu, Zongyi & Zhang, Yongjun, 2014. "基于非径向bml-Dea模型的中国地区工业环境绩效测度
      [The measurement of regional industrial Environmental Performance——based on non-radial BML-DEA model]
      ," MPRA Paper 55380, University Library of Munich, Germany.
    3. Bonfiglio, Andrea & Arzeni, Andrea & Bodini, Antonella, 2017. "Assessing eco-efficiency of arable farms in rural areas," Agricultural Systems, Elsevier, vol. 151(C), pages 114-125.
    4. repec:gam:jsusta:v:10:y:2018:i:7:p:2303-:d:156064 is not listed on IDEAS

    More about this item

    Keywords

    Dynamic eco-performance; directional distance functions; Data Envelopment Analysis; greenhouse gases emissions; European Union;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:eec:wpaper:1304. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Vicente Esteve). General contact details of provider: http://edirc.repec.org/data/dsvales.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.