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Eco-efficiency and convergence in OECD countries

Author

Listed:
  • Mariam Camarero

    (Dpto. Economía. Universidad Jaume I)

  • Juana Castillo

    (Dpto. Economía Aplicada II. Universidad de Valencia)

  • Andrés J. Picazo-Tadeo

    (Dpto. Economía Aplicada II. Universidad de Valencia)

  • Cecilio Tamarit

    (Dpto. Economía Aplicada II. Universidad de Valencia)

Abstract

This paper assesses the convergence in eco-efficiency of a group of 22 OECD countries over the period 1980-2005. In doing so, three air-pollutants representing the impact on the environment of economic activities are considered, namely, carbon dioxide (CO2), nitrogen oxides (NOX) and sulphur oxides (SOX); furthermore, eco-efficiency scores at both country and air-pollutant-specific levels are computed using Data Envelopment Analysis techniques. Then, convergence is evaluated using the recent approach by Phillips and Sul (2007), which allows testing for the existence of convergence groups. First, we find that, with the exception of NOX emissions, eco-efficiency has improved over the period, the greatest progress corresponding to CO2 emissions. Second, Switzerland is the most eco-efficient country, followed by some Scandinavian economies such as Sweden, Norway, Iceland and Denmark. In contrast, European Mediterranean countries such as Portugal, Spain and Greece, in addition to Hungary, Turkey, Canada or the US, are among the worst performers. Finally, we find that both the most eco-efficient countries and the worst-performing countries also tend to form clubs of convergence among them.

Suggested Citation

  • Mariam Camarero & Juana Castillo & Andrés J. Picazo-Tadeo & Cecilio Tamarit, 2011. "Eco-efficiency and convergence in OECD countries," Working Papers 1116, Department of Applied Economics II, Universidad de Valencia.
  • Handle: RePEc:eec:wpaper:1116
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    References listed on IDEAS

    as
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    Cited by:

    1. Beltrán-Esteve, Mercedes & Picazo-Tadeo, Andrés J., 2017. "Assessing environmental performance in the European Union: Eco-innovation versus catching-up," Energy Policy, Elsevier, vol. 104(C), pages 240-252.
    2. 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.
    3. repec:kap:enreec:v:68:y:2017:i:3:d:10.1007_s10640-016-0046-y is not listed on IDEAS
    4. repec:eee:renene:v:115:y:2018:i:c:p:1086-1098 is not listed on IDEAS
    5. Strunz, Sebastian & Gawel, Erik & Lehmann, Paul & Söderholm, Patrik, 2015. "Policy convergence: A conceptual framework based on lessons from renewable energy policies in the EU," UFZ Discussion Papers 14/2015, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    6. Zhe Wang & Lin Zhao & Guozhu Mao & Ben Wu, 2015. "Eco-Efficiency Trends and Decoupling Analysis of Environmental Pressures in Tianjin, China," Sustainability, MDPI, Open Access Journal, vol. 7(11), pages 1-16, November.
    7. Fernández-Amador, Octavio & Oberdabernig, Doris & Tomberger, Patrick, 2017. "Testing for Convergence in Carbon Dioxide Emissions using a Bayesian Robust Structural Model," Papers 1101, World Trade Institute.
    8. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    9. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    10. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    11. Zilong Zhang & Xingpeng Chen & Peter Heck, 2014. "Emergy-Based Regional Socio-Economic Metabolism Analysis: An Application of Data Envelopment Analysis and Decomposition Analysis," Sustainability, MDPI, Open Access Journal, vol. 6(12), pages 1-21, November.
    12. Marinko Škare & Danijela Rabar, 2016. "Measuring Economic Growth Using Data Envelopment Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 18(42), pages 386-386, May.
    13. Mariam Camarero & Juana Castillo-Giménez & Andrés Picazo-Tadeo & Cecilio Tamarit, 2014. "Is eco-efficiency in greenhouse gas emissions converging among European Union countries?," Empirical Economics, Springer, vol. 47(1), pages 143-168, August.
    14. 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.

    More about this item

    Keywords

    Eco-efficiency; Air pollutants; Convergence clubs; OECD;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • F15 - International Economics - - Trade - - - Economic Integration
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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