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A Study on the Effects of Energy and Environmental Efficiency at China’s Provincial Level

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  • Liang-han Ma

    (Department of Business Administration, Taipei City University of Science and Technology, Xueyuan Rd., Beitou, Taipei 11202, Taiwan)

  • Jin-chi Hsieh

    (Department of Business Administration, Taipei City University of Science and Technology, Xueyuan Rd., Beitou, Taipei 11202, Taiwan)

  • Yung-ho Chiu

    (Department of Economics, Soochow University, 56, Kueiyang St., Sec. 1, Taipei 10048, Taiwan)

Abstract

China’s economic development status continues to grow, but its environmental degradation issue is also becoming a global concern. This study uses dynamic network data envelopment analysis (DN-DEA) to evaluate the energy using efficiency and environmental efficiency in China over the period 2014–2017. The result shows that the former is greater than the latter for all years. This study utilizes a policy-oriented matrix to find the relationship between energy efficiency and Malmquist productivity index (MPI), showing that Chongqing and 13 other provinces have relatively poor energy efficiency, and they therefore must formulate a more effective energy policy to improve undesirable gas emissions. Shanghai and 6 other provinces exhibit relatively good energy efficiency, but are not progressing in MPI, and hence they must develop a stable energy strategy to avoid different efficiencies of catch-up and frontier-shift across time periods. High energy-consuming industries must also choose a low-carbon energy strategy so that they can promote economic development, while taking into account environmental protection in China’s provincial level.

Suggested Citation

  • Liang-han Ma & Jin-chi Hsieh & Yung-ho Chiu, 2019. "A Study on the Effects of Energy and Environmental Efficiency at China’s Provincial Level," Energies, MDPI, vol. 12(4), pages 1-13, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:591-:d:205449
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    References listed on IDEAS

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    1. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    2. Ji Guo & Dongdong Zhu & Xianhua Wu & Yaozhen Yan, 2017. "Study on Environment Performance Evaluation and Regional Differences of Strictly-Environmental-Monitored Cities in China," Sustainability, MDPI, vol. 9(12), pages 1-20, December.
    3. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    6. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    7. Zheng, Saina & Lam, Chor-Man & Hsu, Shu-Chien & Ren, Jingzheng, 2018. "Evaluating efficiency of energy conservation measures in energy service companies in China," Energy Policy, Elsevier, vol. 122(C), pages 580-591.
    8. Li, Ke & Lin, Boqiang, 2015. "The improvement gap in energy intensity: Analysis of China's thirty provincial regions using the improved DEA (data envelopment analysis) model," Energy, Elsevier, vol. 84(C), pages 589-599.
    9. Xie, Chunping & Bai, Mengqi & Wang, Xiaolei, 2018. "Accessing provincial energy efficiencies in China’s transport sector," Energy Policy, Elsevier, vol. 123(C), pages 525-532.
    10. Li, Ying & Chiu, Yung-ho & Lu, Liang Chun, 2018. "Energy and AQI performance of 31 cities in China," Energy Policy, Elsevier, vol. 122(C), pages 194-202.
    11. Toshiyuki Sueyoshi, 2017. "Damages to return with a possible occurrence of eco-technology innovation measured by DEA environmental assessment," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-14, December.
    12. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    13. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
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    Cited by:

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    2. Yao Hu & Tai-Hua Yan & Feng-Wen Chen, 2020. "Energy and Environment Performance of Resource-Based Cities in China: A Non-Parametric Approach for Estimating Hyperbolic Distance Function," IJERPH, MDPI, vol. 17(13), pages 1-23, July.
    3. Ying-yu Lu & Yue He & Bo Wang & Shuang-shuang Ye & Yidi Hua & Lei Ding, 2019. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    4. Yulia V. Vertakova & Vladimir A. Plotnikov, 2019. "The Integrated Approach to Sustainable Development: The Case of Energy Efficiency and Solid Waste Management," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 194-201.
    5. Carvalho, Anne Emília Costa & Sampaio, Raquel Menezes Bezerra & Sampaio, Luciano Menezes Bezerra, 2023. "The impact of regulation on the Brazilian water and sewerage companies’ efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).

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