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Decomposition of Industrial Electricity Efficiency and Electricity-Saving Potential of Special Economic Zones in China Considering the Heterogeneity of Administrative Hierarchy and Regional Location

Author

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  • Jianmin You

    (School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China
    Guizhou Institute of Local Modernized Governance, Guizhou Academy of Social Science, Guiyang 550002, China)

  • Xiqiang Chen

    (School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China)

  • Jindao Chen

    (School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China)

Abstract

Special Economic Zones (SEZs), an important engine of industrial economic development in China, consume large amounts of energy resources and emit considerable CO2. However, existing research pays little attention to industrial energy usage in SEZs and ignores the heterogeneity of administrative hierarchy and regional location. Considering the dual heterogeneity, this study proposes an improved two-dimension and two-level meta-frontier data envelopment analytical model to decompose the industrial electricity efficiency (IEE) and electricity-saving potential of SEZs in Guizhou Province, China, based on 4-year field survey data (2016–2019). Results show that the IEE rankings of three administrative hierarchies within SEZs are provincial administration SEZs, county administration SEZs, and municipality administration SEZs. The SEZs located in energy resource-rich areas and better ecological environmental areas have higher IEE than those in resource-poor areas and ecology fragile areas, respectively. This study can provide reference for policymakers to formulate effective policies for improving the electricity use efficiency of SEZs in China.

Suggested Citation

  • Jianmin You & Xiqiang Chen & Jindao Chen, 2021. "Decomposition of Industrial Electricity Efficiency and Electricity-Saving Potential of Special Economic Zones in China Considering the Heterogeneity of Administrative Hierarchy and Regional Location," Energies, MDPI, vol. 14(17), pages 1-22, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5468-:d:627685
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    References listed on IDEAS

    as
    1. Tanaka, Kenta & Managi, Shunsuke, 2021. "Industrial agglomeration effect for energy efficiency in Japanese production plants," Energy Policy, Elsevier, vol. 156(C).
    2. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    3. Liddle, Brantley, 2009. "Electricity intensity convergence in IEA/OECD countries: Aggregate and sectoral analysis," Energy Policy, Elsevier, vol. 37(4), pages 1470-1478, April.
    4. Jan K. Kazak & Joanna A. Kamińska & Rafał Madej & Marta Bochenkiewicz, 2020. "Where Renewable Energy Sources Funds are Invested? Spatial Analysis of Energy Production Potential and Public Support," Energies, MDPI, vol. 13(21), pages 1-26, October.
    5. Inglesi-Lotz, R. & Blignaut, J.N., 2012. "Electricity intensities of the OECD and South Africa: A comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4491-4499.
    6. Joshua Linn, 2008. "Energy Prices and the Adoption of Energy-Saving Technology," Economic Journal, Royal Economic Society, vol. 118(533), pages 1986-2012, November.
    7. Jindao Chen & Yuhong Wang & Qian Shi & Xu Peng & Juhuan Zheng, 2021. "An international comparison analysis of CO2 emissions in the construction industry," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 754-767, July.
    8. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.
    9. He, Yong & Fu, Feifei & Liao, Nuo, 2021. "Exploring the path of carbon emissions reduction in China’s industrial sector through energy efficiency enhancement induced by R&D investment," Energy, Elsevier, vol. 225(C).
    10. Twerefou, Daniel Kwabena & Abeney, Jacob Opantu, 2020. "Efficiency of household electricity consumption in Ghana," Energy Policy, Elsevier, vol. 144(C).
    11. 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.
    12. Zhao, Hongli & Lin, Boqiang, 2019. "Will agglomeration improve the energy efficiency in China’s textile industry: Evidence and policy implications," Applied Energy, Elsevier, vol. 237(C), pages 326-337.
    13. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    14. Broadstock, David C. & Li, Jiajia & Zhang, Dayong, 2016. "Efficiency snakes and energy ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Energy Policy, Elsevier, vol. 91(C), pages 383-396.
    15. Matias Busso & Jesse Gregory & Patrick Kline, 2013. "Assessing the Incidence and Efficiency of a Prominent Place Based Policy," American Economic Review, American Economic Association, vol. 103(2), pages 897-947, April.
    16. Wang, Hongsheng & Lei, Yue & Wang, Haikun & Liu, Miaomiao & Yang, Jie & Bi, Jun, 2013. "Carbon reduction potentials of China's industrial parks: A case study of Suzhou Industry Park," Energy, Elsevier, vol. 55(C), pages 668-675.
    17. Zheng, Guo & Barbieri, Elisa & Di Tommaso, Marco R. & Zhang, Lei, 2016. "Development zones and local economic growth: zooming in on the Chinese case," China Economic Review, Elsevier, vol. 38(C), pages 238-249.
    18. Mark A. Andor & David H. Bernstein & Stephan Sommer, 2021. "Determining the efficiency of residential electricity consumption," Empirical Economics, Springer, vol. 60(6), pages 2897-2923, June.
    19. Manderson, Edward J. & Kneller, Richard, 2020. "Energy endowments and the location of manufacturing firms," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    20. Liu, Lingxuan & Zhang, Bing & Bi, Jun & Wei, Qi & He, Pan, 2012. "The greenhouse gas mitigation of industrial parks in China: A case study of Suzhou Industrial Park," Energy Policy, Elsevier, vol. 46(C), pages 301-307.
    21. An, Qingxian & Wu, Qifan & Li, Jinlin & Xiong, Beibei & Chen, Xiaohong, 2019. "Environmental efficiency evaluation for Xiangjiang River basin cities based on an improved SBM model and Global Malmquist index," Energy Economics, Elsevier, vol. 81(C), pages 95-103.
    22. Teresa Annunziata Branca & Barbara Fornai & Valentina Colla & Maria Ilaria Pistelli & Eros Luciano Faraci & Filippo Cirilli & Antonius Johannes Schröder, 2021. "Industrial Symbiosis and Energy Efficiency in European Process Industries: A Review," Sustainability, MDPI, vol. 13(16), pages 1-37, August.
    23. Fare, R. & Grosskopf, S. & Roos, P., 1995. "Productivity and quality changes in Swedish pharmacies," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 137-144, April.
    24. Inglesi-Lotz, Roula & Blignaut, James N., 2014. "Improving the electricity efficiency in South Africa through a benchmark-and-trade system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 833-840.
    25. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    26. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    27. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    28. Lin, Boqiang & Zhu, Junpeng, 2020. "Chinese electricity demand and electricity consumption efficiency: Do the structural changes matter?," Applied Energy, Elsevier, vol. 262(C).
    29. Ronald B. Davies, T. Huw Edwards, and Arman Mazhikeyev, 2018. "The Impact of Special Economic Zones on Electricity Intensity of Firms," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    30. He, Yongxiu & Guang, Fengtao & Wang, Meiyan, 2018. "The efficiency of electricity-use of China and its influencing factors," Energy, Elsevier, vol. 163(C), pages 258-269.
    31. Yigitcanlar, Tan & Sabatini-Marques, Jamile & da-Costa, Eduardo Moreira & Kamruzzaman, Md & Ioppolo, Giuseppe, 2019. "Stimulating technological innovation through incentives: Perceptions of Australian and Brazilian firms," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 403-412.
    32. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    33. Mukherjee, Abhiroop & Singh, Manpreet & Žaldokas, Alminas, 2017. "Do corporate taxes hinder innovation?," Journal of Financial Economics, Elsevier, vol. 124(1), pages 195-221.
    34. Ouyang, Xiaoling & Chen, Jiaqi & Du, Kerui, 2021. "Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China," Energy, Elsevier, vol. 214(C).
    35. Özkara, Yücel & Atak, Mehmet, 2015. "Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey," Energy, Elsevier, vol. 93(P1), pages 495-510.
    36. Shi, Xunpeng & Sun, Sizhong, 2017. "Energy price, regulatory price distortion and economic growth: A case study of China," Energy Economics, Elsevier, vol. 63(C), pages 261-271.
    37. Alkon, Meir, 2018. "Do special economic zones induce developmental spillovers? Evidence from India’s states," World Development, Elsevier, vol. 107(C), pages 396-409.
    38. Fan, Meiting & Shao, Shuai & Yang, Lili, 2015. "Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China)," Energy Policy, Elsevier, vol. 79(C), pages 189-201.
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