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Measurement of the Energy Intensity of Human Well-Being and Spatial Econometric Analysis of Its Influencing Factors

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  • Ruyin Long

    (School of Management, China University of Mining and Technology, Xuzhou 221116, China
    Research Center for Energy Economics, School of Business Administration, Henan Polytechnic University, Jiaozuo 454000, China)

  • Qin Zhang

    (School of Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Hong Chen

    (School of Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Meifen Wu

    (School of Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Qianwen Li

    (School of Management, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

Current energy efficiency indicators (such as energy intensity) do not properly reflect the inherent relationship between “energy-environment-health”. Therefore, this study introduces the indicator of energy intensity of human well-being (EIWB) to depict the efficiency problem between energy consumption and residents’ health. In this paper, panel data of 30 provinces in mainland China from 2005 to 2016 is used to calculate the EIWB of each province and analyze its spatial distribution. Moreover, the effect of influencing factors on EIWB is investigated by using the spatial Durbin model. The results show that: (1) The EIWB presents a spatial agglomeration. The provinces with high EIWB mostly cluster in the northern China. (2) Industrial structure and energy structure have positive effects on EIWB in local area through increasing energy consumption and damaging residents’ health. (3) The effect of urbanization and income on local EIWB is significantly positive because it will promote energy consumption. (4) Industrial structure, health expenditure, foreign direct investment and technological progress have spatial spillover effects due to its significant impact on residents’ health in neighboring areas. Based on conclusions, the corresponding policy recommendations are proposed.

Suggested Citation

  • Ruyin Long & Qin Zhang & Hong Chen & Meifen Wu & Qianwen Li, 2020. "Measurement of the Energy Intensity of Human Well-Being and Spatial Econometric Analysis of Its Influencing Factors," IJERPH, MDPI, vol. 17(1), pages 1-21, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:1:p:357-:d:305333
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    References listed on IDEAS

    as
    1. Adom, Philip Kofi, 2015. "Determinants of energy intensity in South Africa: Testing for structural effects in parameters," Energy, Elsevier, vol. 89(C), pages 334-346.
    2. Yin, Jianhua & Zheng, Mingzheng & Chen, Jian, 2015. "The effects of environmental regulation and technical progress on CO2 Kuznets curve: An evidence from China," Energy Policy, Elsevier, vol. 77(C), pages 97-108.
    3. Chen, Jing & Zhou, Chunshan & Wang, Shaojian & Li, Shijie, 2018. "Impacts of energy consumption structure, energy intensity, economic growth, urbanization on PM2.5 concentrations in countries globally," Applied Energy, Elsevier, vol. 230(C), pages 94-105.
    4. Jimenez, Raul & Mercado, Jorge, 2014. "Energy intensity: A decomposition and counterfactual exercise for Latin American countries," Energy Economics, Elsevier, vol. 42(C), pages 161-171.
    5. Apergis, Nicholas & Aye, Goodness C. & Barros, Carlos Pestana & Gupta, Rangan & Wanke, Peter, 2015. "Energy efficiency of selected OECD countries: A slacks based model with undesirable outputs," Energy Economics, Elsevier, vol. 51(C), pages 45-53.
    6. Sheng, Pengfei & Guo, Xiaohui, 2018. "Energy consumption associated with urbanization in China: Efficient- and inefficient-use," Energy, Elsevier, vol. 165(PB), pages 118-125.
    7. Wenxuan Xu & Yongzhong Tian & Yongxue Liu & Bingxue Zhao & Yongchao Liu & Xueqian Zhang, 2019. "Understanding the Spatial-Temporal Patterns and Influential Factors on Air Quality Index: The Case of North China," IJERPH, MDPI, vol. 16(16), pages 1-23, August.
    8. Huijie Yan, 2015. "Provincial energy intensity in China: The role of urbanization," Post-Print hal-01457329, HAL.
    9. Liu, Yaobin, 2009. "Exploring the relationship between urbanization and energy consumption in China using ARDL (autoregressive distributed lag) and FDM (factor decomposition model)," Energy, Elsevier, vol. 34(11), pages 1846-1854.
    10. Guang, Fengtao & He, Yongxiu & Wen, Le & Sharp, Basil, 2019. "Energy intensity and its differences across China’s regions: Combining econometric and decomposition analysis," Energy, Elsevier, vol. 180(C), pages 989-1000.
    11. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
    12. Chang, Ming-Chung, 2014. "Energy intensity, target level of energy intensity, and room for improvement in energy intensity: An application to the study of regions in the EU," Energy Policy, Elsevier, vol. 67(C), pages 648-655.
    13. Morton, Craig & Wilson, Charlie & Anable, Jillian, 2018. "The diffusion of domestic energy efficiency policies: A spatial perspective," Energy Policy, Elsevier, vol. 114(C), pages 77-88.
    14. Jinchao Li & Yuwei Xiang & Huanyu Jia & Lin Chen, 2018. "Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    15. Rosa Aísa & Jesús Clemente & Fernando Pueyo, 2014. "The influence of (public) health expenditure on longevity," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(5), pages 867-875, October.
    16. Yin Feng & Jinhua Cheng & Jun Shen & Han Sun, 2019. "Spatial Effects of Air Pollution on Public Health in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 229-250, May.
    17. Petrović, Predrag & Filipović, Sanja & Radovanović, Mirjana, 2018. "Underlying causal factors of the European Union energy intensity: Econometric evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 216-227.
    18. Sueyoshi, Toshiyuki & Goto, Mika & Wang, Derek, 2017. "Malmquist index measurement for sustainability enhancement in Chinese municipalities and provinces," Energy Economics, Elsevier, vol. 67(C), pages 554-571.
    19. Dias, Rubens A. & Mattos, Cristiano R. & P. Balestieri, Jose A., 2006. "The limits of human development and the use of energy and natural resources," Energy Policy, Elsevier, vol. 34(9), pages 1026-1031, June.
    20. Marti­nez, Daniel M. & Ebenhack, Ben W., 2008. "Understanding the role of energy consumption in human development through the use of saturation phenomena," Energy Policy, Elsevier, vol. 36(4), pages 1430-1435, April.
    21. Andrés, Lidia & Padilla, Emilio, 2015. "Energy intensity in road freight transport of heavy goods vehicles in Spain," Energy Policy, Elsevier, vol. 85(C), pages 309-321.
    22. Yang, Zhenbing & Shao, Shuai & Yang, Lili & Miao, Zhuang, 2018. "Improvement pathway of energy consumption structure in China's industrial sector: From the perspective of directed technical change," Energy Economics, Elsevier, vol. 72(C), pages 166-176.
    23. Jorgenson, Andrew K. & Alekseyko, Alina & Giedraitis, Vincentas, 2014. "Energy consumption, human well-being and economic development in central and eastern European nations: A cautionary tale of sustainability," Energy Policy, Elsevier, vol. 66(C), pages 419-427.
    24. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    25. 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.
    26. Huang, Junbing & Du, Dan & Tao, Qizhi, 2017. "An analysis of technological factors and energy intensity in China," Energy Policy, Elsevier, vol. 109(C), pages 1-9.
    27. Wang, Keying & Wu, Meng & Sun, Yongping & Shi, Xunpeng & Sun, Ao & Zhang, Ping, 2019. "Resource abundance, industrial structure, and regional carbon emissions efficiency in China," Resources Policy, Elsevier, vol. 60(C), pages 203-214.
    28. Hübler, Michael & Keller, Andreas, 2010. "Energy savings via FDI? Empirical evidence from developing countries," Environment and Development Economics, Cambridge University Press, vol. 15(1), pages 59-80, February.
    29. 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.
    30. Sim, Seung-Gyu & Lin, Hsuan-Chih, 2018. "Competitive dominance of emission trading over Pigouvian taxation in a globalized economy," Economics Letters, Elsevier, vol. 163(C), pages 158-161.
    31. Huang, Junbing & Du, Dan & Hao, Yu, 2017. "The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations," Economic Modelling, Elsevier, vol. 65(C), pages 41-50.
    32. Ogundari, Kolawole & Awokuse, Titus, 2018. "Human capital contribution to economic growth in Sub-Saharan Africa: Does health status matter more than education?," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 131-140.
    33. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    34. Feng, Taiwen & Sun, Linyan & Zhang, Ying, 2009. "The relationship between energy consumption structure, economic structure and energy intensity in China," Energy Policy, Elsevier, vol. 37(12), pages 5475-5483, December.
    35. Marin, Giovanni & Palma, Alessandro, 2017. "Technology invention and adoption in residential energy consumption," Energy Economics, Elsevier, vol. 66(C), pages 85-98.
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