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Measuring energy usage and sustainability development in Asian nations by DEA intermediate approach

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  • Toshiyuki Sueyoshi

    (New Mexico Institute of Mining and Technology)

  • Yan Yuan

    (New Mexico Institute of Mining and Technology)

Abstract

This study proposes a new use of data envelopment analysis (DEA) for assessing economic success and environmental protection, so measuring the level of sustainability. The new approach is referred to as “DEA environmental assessment,” and it can measure the performance of various entities that use inputs to produce not only desirable outputs but also undesirable outputs. DEA models are generally classified into radial or non-radial category. This study proposes a new “intermediate” approach between them. As an illustrative application, this study is interested in empirical assessment on energy usage and social sustainability of 21 Asian nations from 2008 to 2014. The energy usage, usually classified into primal (e.g., oil and coal) and secondary (i.e., electricity) categories, is essential in developing the economy, but the development simultaneously produces various pollutions (e.g., carbon emission). They have been developing their economic prosperities in a short period, but simultaneously suffering from such pollutions. All Asian nations are classified into four or five groups based upon their unified efficiency measures under natural disposability, where economic performance is the first priority and environmental performance is the second, along with managerial disposability with the opposite priority to the natural disposability. An implication found in this study is that among Asian nations, Japan and New Zealand belong to the first tier in terms of developing their social sustainability. Japan’s economy started to turn down after 2012 and faced a pitfall in recent years. Meanwhile, New Zealand has developed its economy by exporting agriculture products and is surrounded by natural beauty. Thus, the two nations are ranked as the top tier under the four types of unified efficiency measures. Beside these expected findings, this study has found that large nations such as China and India have not badly performed if we consider the size of their economies. This is a surprising result because they are large carbon emitters in the world and thereby they have been often criticized by international communities. Their problem is that the living standard of people is low because of the size of population. The empirical findings are useful in developing the energy and industrial policies of Asian nations.

Suggested Citation

  • Toshiyuki Sueyoshi & Yan Yuan, 2018. "Measuring energy usage and sustainability development in Asian nations by DEA intermediate approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-18, December.
  • Handle: RePEc:spr:jecstr:v:7:y:2018:i:1:d:10.1186_s40008-017-0100-0
    DOI: 10.1186/s40008-017-0100-0
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    References listed on IDEAS

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    Cited by:

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    2. 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.
    3. Toshiyuki Sueyoshi & Mika Goto, 2018. "Difficulties and remedies on DEA environmental assessment," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-20, December.
    4. Xuedong Liang & Qunxi Gong & Sipan Li & Siyuan Huang & Gengxuan Guo, 2023. "Regional agricultural sustainability assessment in China based on a developed model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8729-8752, August.
    5. Fengyi Lin & Sheng-Wei Lin & Wen-Min Lu, 2018. "Sustainability Assessment of Taiwan’s Semiconductor Industry: A New Hybrid Model Using Combined Analytic Hierarchy Process and Two-Stage Additive Network Data Envelopment Analysis," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    6. Chen, Yingwen & Wong, Christina W.Y. & Yang, Rui & Miao, Xin, 2021. "Optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies in China," Energy, Elsevier, vol. 237(C).
    7. Tsaples, G. & Papathanasiou, J., 2021. "Data envelopment analysis and the concept of sustainability: A review and analysis of the literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    8. Zhang, Shengling & Wang, Yao & Hao, Yu & Liu, Zhiwei, 2021. "Shooting two hawks with one arrow: Could China's emission trading scheme promote green development efficiency and regional carbon equality?," Energy Economics, Elsevier, vol. 101(C).
    9. 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.
    10. Toshiyuki Sueyoshi & Youngbok Ryu, 2020. "Performance Assessment of the Semiconductor Industry: Measured by DEA Environmental Assessment," Energies, MDPI, vol. 13(22), pages 1-24, November.
    11. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).

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