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Recycling Efficiencies in Japan’s Administrative Regions: Findings from Network Data Envelopment Analysis

Author

Listed:
  • Jin-Li Hu

    (National Yang Ming Chiao Tung University)

  • Satoshi Honma

    (Tokai University)

  • Tzu-Min Chang

    (National Yang Ming Chiao Tung University)

Abstract

Recycling is an essential part of circular economy. This research constructs a two-stage waste generation and recycling activity model, selecting Japan as a case study object to explore its recycling efficiencies through this model. Japan’s regional recycling efficiency is assessed in two stages: waste collection as stage 1 and the treatment and process of the recycling waste as stage 2. We adopt a network data envelopment analysis (DEA) model by Tone and Tsutsui (2009) to measure the recycling efficiencies of 47 administrative regions in Japan, taking in account multiple inputs and outputs from 2013 to 2017. The empirical results indicate that the efficiency of stage one (waste collection) performs worse than that of stage two (treatment and process of recyclables). The metropolitan regions consistently outperform the rural regions, because the metropolitan regions perform better in stage one (waste collection). Local governments should improve the waste collection by co-working with local communities and volunteer groups. All regions perform relatively more efficiently in stage 2 (waste processing).

Suggested Citation

  • Jin-Li Hu & Satoshi Honma & Tzu-Min Chang, 2024. "Recycling Efficiencies in Japan’s Administrative Regions: Findings from Network Data Envelopment Analysis," Circular Economy and Sustainability, Springer, vol. 4(1), pages 1-21, March.
    • Handle: RePEc:spr:circec:v:4:y:2024:i:1:d:10.1007_s43615-023-00274-1
    DOI: 10.1007/s43615-023-00274-1
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    References listed on IDEAS

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    1. Marques, Rui Cunha & da Cruz, Nuno Ferreira & Carvalho, Pedro, 2012. "Assessing and exploring (in)efficiency in Portuguese recycling systems using non-parametric methods," Resources, Conservation & Recycling, Elsevier, vol. 67(C), pages 34-43.
    2. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    3. Wang Dongfang & Pablo Ponce & Zhang Yu & Katerine Ponce & Muhammad Tanveer, 2022. "The future of industry 4.0 and the circular economy in Chinese supply chain: In the Era of post-COVID-19 pandemic," Operations Management Research, Springer, vol. 15(1), pages 342-356, June.
    4. Bohm, Robert A. & Folz, David H. & Kinnaman, Thomas C. & Podolsky, Michael J., 2010. "The costs of municipal waste and recycling programs," Resources, Conservation & Recycling, Elsevier, vol. 54(11), pages 864-871.
    5. Gennitsaris, Stavros & Sagani, Angeliki & Sofianopoulou, Stella & Dedoussis, Vassilis, 2023. "Integrated LCA and DEA approach for circular economy-driven performance evaluation of wind turbine end-of-life treatment options," Applied Energy, Elsevier, vol. 339(C).
    6. Chang, Dong-Shang & Liu, Wenrong & Yeh, Li-Ting, 2013. "Incorporating the learning effect into data envelopment analysis to measure MSW recycling performance," European Journal of Operational Research, Elsevier, vol. 229(2), pages 496-504.
    7. Satoshi Honma & Jin-Li Hu, 2018. "A meta-stochastic frontier analysis for energy efficiency of regions in Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-16, December.
    8. Bongers, Anelí & Casas, Pablo, 2022. "The circular economy and the optimal recycling rate: A macroeconomic approach," Ecological Economics, Elsevier, vol. 199(C).
    9. Tsung-hsiu Tsai, 2008. "The impact of social capital on regional waste recycling," Sustainable Development, John Wiley & Sons, Ltd., vol. 16(1), pages 44-55.
    10. Rogge, Nicky & de Jaeger, Simon, 2012. "Evaluating the efficiency of municipalities in collecting and processing municipal solid waste: A shared input DEA-model," Working Papers 2012/22, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    11. Wu, Hua-qing & Shi, Yan & Xia, Qiong & Zhu, Wei-dong, 2014. "Effectiveness of the policy of circular economy in China: A DEA-based analysis for the period of 11th five-year-plan," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 163-175.
    12. Lahcen, Bart & Eyckmans, Johan & Rousseau, Sandra & Dams, Yoko & Brusselaers, Jan, 2022. "Modelling the circular economy: Introducing a supply chain equilibrium approach," Ecological Economics, Elsevier, vol. 197(C).
    13. Scott J. Callan & Janet M. Thomas, 2001. "Economies of Scale and Scope: A Cost Analysis of Municipal Solid Waste Services," Land Economics, University of Wisconsin Press, vol. 77(4), pages 548-560.
    14. 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.
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