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Resource utilization for sustainability enhancement in Japanese industries

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  • Sueyoshi, Toshiyuki
  • Goto, Mika

Abstract

Recently, many studies have applied environmental assessment based upon data envelopment analysis to measure the performance of various organizations. An important feature of the approach is that it evaluates their economic activities which use inputs to produce desirable (e.g., electricity) and undesirable (e.g., CO2 emission) outputs. To document the practicality, this study discusses the corporate sustainability of Japanese industries. In the application, we need to overcome the three methodological difficulties related to the approach at the initial stage: how to handle zero and/or negative values, how to unify inputs, desirable, and undesirable outputs within a synchronized framework, and how to identify a possible occurrence of a production limit and to identify that of green technology innovation. This study obtains the three empirical findings. First, Japanese firms put more strategic weights on their operational achievements than environmental ones. Second, manufacturing firms outperform non-manufacturing ones, including services, energy utilities and information technology industries, in their operations. Finally, the production limit may occur in most industries under current business surroundings. However, they may overcome the difficulty by investing for production or service assets and green technology. The empirical results are consistent with the current Japanese industrial policy, or so-called “Abenomics,” which centers upon the performance improvement in non-manufacturing industries. We also discuss a significant potential of green technology innovation that the Japanese government does not consider in the current policy agendas.

Suggested Citation

  • Sueyoshi, Toshiyuki & Goto, Mika, 2018. "Resource utilization for sustainability enhancement in Japanese industries," Applied Energy, Elsevier, vol. 228(C), pages 2308-2320.
  • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:2308-2320
    DOI: 10.1016/j.apenergy.2018.07.031
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    Cited by:

    1. Toshiyuki Sueyoshi & Mika Goto, 2020. "Performance Assessment of Japanese Electric Power Industry: DEA Measurement with Future Impreciseness," Energies, MDPI, vol. 13(2), pages 1-24, January.
    2. Pang, Qinghua & Qiu, Man & Zhang, Lina & Chiu, Yung-ho, 2023. "Congestion effects of energy and capital in China's carbon emission reduction: Evidence from provincial levels," Energy, Elsevier, vol. 274(C).
    3. Sueyoshi, Toshiyuki & Qu, Jingjing & Li, Aijun & Liu, Xiaohong, 2021. "A new approach for evaluating technology inequality and diffusion barriers: The concept of efficiency Gini coefficient and its application in Chinese provinces," Energy, Elsevier, vol. 235(C).
    4. Jie Liu & Chunhui Yuan & Xiaolong Li, 2019. "The Environmental Assessment on Chinese Logistics Enterprises Based on Non-Radial DEA," Energies, MDPI, vol. 12(24), pages 1-18, December.
    5. Toshiyuki Sueyoshi & Mika Goto, 2019. "DEA Non-Radial Approach for Resource Allocation and Energy Usage to Enhance Corporate Sustainability in Japanese Manufacturing Industries," Energies, MDPI, vol. 12(9), pages 1-22, May.
    6. Liu, Haiyue & Zhang, Ruchuan & Zhou, Li & Li, Aijun, 2023. "Evaluating the financial performance of companies from the perspective of fund procurement and application: New strategy cross efficiency network data envelopment analysis models," Energy, Elsevier, vol. 269(C).
    7. Sueyoshi, Toshiyuki & Goto, Mika, 2019. "The intermediate approach to sustainability enhancement and scale-related measures in environmental assessment," European Journal of Operational Research, Elsevier, vol. 276(2), pages 744-756.
    8. Sueyoshi, Toshiyuki & Mo, Fei & Wang, Derek D., 2022. "Sustainable development of countries all over the world and the impact of renewable energy," Renewable Energy, Elsevier, vol. 184(C), pages 320-331.
    9. Monjurul Hasan, A S M & Trianni, Andrea & Shukla, Nagesh & Katic, Mile, 2022. "A novel characterization based framework to incorporate industrial energy management services," Applied Energy, Elsevier, vol. 313(C).
    10. Li, Ke & Zou, Danyu & Li, Hailing, 2023. "Environmental regulation and green technical efficiency: A process-level data envelopment analysis from Chinese iron and steel enterprises," Energy, Elsevier, vol. 277(C).

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