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Waste generations and efficiency measures in Japan

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  • Makiko Nakano
  • Shunsuke Managi

Abstract

This study measures the efficiencies incorporating waste generation using Japanese prefecture level data. We apply and compare several models using directional distance functions. There are wide variations in the efficiency scores between the two orientations, “input, desirable and undesirable output orientation” and “undesirable output orientation”. However, the difference in abatement factor does not result in wide variations in the efficiency scores. Our results show that there are wide differences in the efficiency scores among prefectures. Copyright Springer 2012

Suggested Citation

  • Makiko Nakano & Shunsuke Managi, 2012. "Waste generations and efficiency measures in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 14(4), pages 327-339, October.
    • Handle: RePEc:spr:envpol:v:14:y:2012:i:4:p:327-339
    DOI: 10.1007/s10018-012-0038-2
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    3. Christina Bampatsou & George Halkos, 2021. "Non-Parametric Computational Measures for the Analysis of Resource Productivity," Energies, MDPI, vol. 14(11), pages 1-14, May.
    4. Florian Flachenecker, 2018. "The causal impact of material productivity on macroeconomic competitiveness in the European Union," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 17-46, January.
    5. Alessio D’Amato & Shunsuke Managi & Massimiliano Mazzanti, 2012. "Economics of waste management and disposal: decoupling, policy enforcement and spatial factors," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 14(4), pages 323-325, October.
    6. Mohottala G. Kularatne & Namal N. Balasooriya & Sean Pascoe & Clevo Wilson, 2017. "Is there a locational productivity advantage for rice cultivation? Results from a technical efficiency analysis of water use in Sri Lankan village irrigation systems," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(4), pages 789-806, October.
    7. Nikos Chatzistamoulou & George Diagourtas & Kostas Kounetas, 2017. "Do pollution abatement expenditures lead to higher productivity growth? Evidence from Greek manufacturing industries," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(1), pages 15-34, January.
    8. George Halkos & Nickolaos Tzeremes, 2013. "National culture and eco-efficiency: an application of conditional partial nonparametric frontiers," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(4), pages 423-441, October.
    9. George Halkos & Argyro Zisiadou, 2018. "Relating environmental performance with socioeconomic and cultural factors," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 69-88, January.
    10. George Halkos & Aksel Sundström & Nickolaos Tzeremes, 2015. "Regional environmental performance and governance quality: a nonparametric analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 621-644, October.
    11. George Halkos & Nickolaos Tzeremes & Panayiotis Tzeremes, 2015. "A nonparametric approach for evaluating long-term energy policy scenarios: an application to the Greek energy system," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-14, December.
    12. Zuoxiang Zhao, 2017. "Measurement of production efficiency and environmental efficiency in China’s province-level: a by-production approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(4), pages 735-759, October.
    13. Shogo Eguchi, 2017. "Understanding productivity declines of resource accumulation in the prefectures of Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 337-357, April.

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    More about this item

    Keywords

    Efficiency; Waste generation; Data envelopment analysis; Undesirable output; Q53; C61;
    All these keywords.

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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