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Study of spatial patterns and spatial effects of energy eco-efficiency in China

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Abstract

Energy eco-efficiency is a concept integrating ecological and economic benefits arising from energy utilization and serves as a measure of efficiency in the energy–environment–economy system. Using the slacks-based measure (SBM) model considering undesirable output, this study first measures the energy eco-efficiency of provinces in China from 1997 to 2012. It then analyzes the spatial distribution and evolution of energy eco-efficiency from three aspects: scale, intensity, and grain of spatial patterns. Finally, it examines the spatial spillover effects and influencing factors of energy eco-efficiency in different provinces by means of a spatial econometric model. The following conclusions are drawn: (1) The overall energy eco-efficiency is relatively low in China, with energy-inefficient regions accounting for about 40%. Guangdong, Hainan and Fujian provinces enjoy the highest energy eco-efficiency, while Ningxia, Gansu, Qinghai, and Xinjiang are representative regions with low efficiency. Thus, the pattern of evolution of China’s overall energy eco-efficiency is U-shaped. Among local regions, four main patterns of evolution are found: increasing, fluctuating, mutating, and leveling. (2) At the provincial level, China’s energy eco-efficiency features significant spatial agglomeration both globally and locally. High–high agglomeration occurs mainly in the eastern and southern coastal regions and low–low agglomeration in the northwestern region and the middle reaches of the Yellow River. Changes in spatial patterns have occurred mainly in areas with high–low and low–high agglomeration, with the most remarkable change taking place in the Beijing–Tianjin–Hebei region. (3) There exist significant spatial effects of energy eco-efficiency among provinces in China. For the energy eco-efficiency of a given region, spatial spillovers from adjacent regions outweigh the influence of errors in adjacent regions. Industrial structure has the greatest influence on energy eco-efficiency.

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References

  • APERC, 2000. Energy Efficiency Indicators, A Study of Energy Efficiency Indicators for Industry in APEC Economies. Tokyo: Asia Pacific Energy Research Center.

    Google Scholar 

  • Chen G J, 2014. Research on total factor energy efficiency of Chinese manufacturing industry and its influence factors based on SFA. China Soft Science Magazine, 1: 180–192. (in Chinese)

    Google Scholar 

  • Cheng Y Q, Wang Z Y, Zhang S Z et al., 2013. Spatial econometric analysis of carbon emission intensity and its driving factors from energy consumption in China. Acta Geographica Sinica, 23(7): 104–109. (in Chinese)

    Google Scholar 

  • Fu B J, 2014. Integrated studies of geography: Coupling of patterns and processes. Acta Geographica Sinica, 69(8): 1052–1059. (in Chinese)

    Google Scholar 

  • Getis A, Ord J K, 1992. The analysis of spatial association by use of distance statistics. Geographical Analysis, 24: 189–206.

    Article  Google Scholar 

  • Guan W, Xu S T, 2014. Spatial patterns and coupling relations between energy efficiency and industrial structure in Liaoning Province. Acta Geographica Sinica, 69(4): 520–530. (in Chinese)

    Google Scholar 

  • Guo W, Sun T, 2013. Chinese industries’ ecological total energy efficiency. Chinese Journal of Management, 10(11): 1690–1695. (in Chinese)

    Google Scholar 

  • He B S, Chen C H, 2002. Energy ecological efficiency of coal fired plant in China. Energy Conversion and Management, 43: 2553–2567.

    Article  Google Scholar 

  • Hu B D, 2014. Measuring plant level energy efficiency in China’s energy sector in the presence of allocates inefficiency. China Economic Review, 31: 130–144.

    Article  Google Scholar 

  • Huang J H, Lv H L, Wang L J, 2014. Mechanism of financial development influencing regional green development: Based on eco-efficiency and spatial econometrics. Geographical Research, 33(3): 532–545. (in Chinese)

    Google Scholar 

  • IPCC, 2006. IPCC guidelines for national greenhouse gas inventories. http://www.ipcc-nggip.iges.or.jp/public/2006gl/chinese/index.html. (in Chinese)

  • Jinli H, Shihchuan W, 2006. Total-factor energy efficiency of regions in China. Energy Policy, 34: 3206–3217.

    Article  Google Scholar 

  • Li S X, Cheng J H, 2008. Study on energy efficiency of China and its determinants. Statistical Research, 25(10): 18–25. (in Chinese)

    Google Scholar 

  • Li L B, Jinli H, 2012. Ecological total-factor energy efficiency of regions in China. Energy Policy, 46: 216–224.

    Article  Google Scholar 

  • Lin B Q, 2012. Theoretical exploration of scientific outlook on development from the perspective of energy economics. Economic Research Journal, 3: 154–159. (in Chinese)

    Google Scholar 

  • Liu K, Li D D, 2014. Analysis of urbanization spatial evolution characters based on GIS in Liaoning Province. Journal of Liaoning Normal University (Natural Science Edition), 37(2): 275–280. (in Chinese)

    Google Scholar 

  • Lu W W, Su M R, Zhang Y et al., 2014. Assessment of energy security in China based on ecological network analysis: A perspective from the security of crude oil supply. Energy Policy, 74: 406–413.

    Article  Google Scholar 

  • Pan X F, Li L Y, Yang Y, 2012. Research on spatial–temporal distribution dynamic evolution of regional energy efficiency disparity in China. Management Review, 11: 13–19. (in Chinese)

    Google Scholar 

  • Patterson M G, 1999. What is energy efficiency? Concepts, indicators and methodological issues. Energy Policy, 24(5): 377–390.

    Article  Google Scholar 

  • Qian Z M, Liu X C, 2013. Regional differences in China’s green economic efficiency and their determinants. China Population, Resources and Environment, 23(7): 104–109. (in Chinese)

    Google Scholar 

  • Shan H J, 2013. Re-estimating the capital stock of China: 1952–2006. Journal of Quantitative and Technical Economics, 23(7): 104–109. (in Chinese)

    Google Scholar 

  • Shi D, 2006. Regional differences in China’s energy efficiency and conservation potentials. China Industrial Economics, 10: 49–58. (in Chinese)

    Google Scholar 

  • Sun C Z, Zhao L S, Zou W, 2014. Interprovincial water resources global environmental technology efficiency measurement in China and its spatial effect. Journal of Natural Resources, 29(4): 553–563. (in Chinese)

    Google Scholar 

  • Tone K, 2001. A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3): 495–509.

    Article  Google Scholar 

  • Tu Z G, Liu L K, 2011. Efficiency evaluation of industrial sectors in China accounting for energy and environmental factors: Based on provincial data using an SBM approach. Economic Review, 2: 55–65. (in Chinese)

    Google Scholar 

  • Wang Q, Fan J, Wu S D, 2014. Spatial–temporal variation of regional energy efficiency and its causes in China, 1990–2009. Geographical Research, 33(1): 43–56. (in Chinese)

    Google Scholar 

  • Wang X, Qu X E, 2010. Research on total factor energy efficiency of Chinese manufacture: Empirical analysis based on 28 sectors. Modern Economic Science, 3: 20–25. (in Chinese)

    Google Scholar 

  • WBCSD, 2000. Measuring Eco-efficiency: A Guide to Reporting Company Performance. World Business Council for Sustainable Development.

    Google Scholar 

  • Wei C, Shen M H, 2007. Energy efficiency and its influencing factors: Based on positive analysis of DEA. Management World, 8: 66–76. (in Chinese)

    Google Scholar 

  • Wei Y M, Liao H, 2010. Seven energy efficiency indicators and their measurement approaches. China Soft Science, 1: 128–137. (in Chinese)

    Google Scholar 

  • Wu Q, Wu C Y, 2012. Empirical research on key influencing factors of energy efficiency in China. Science Research Management, 31(5): 164–171. (in Chinese)

    Google Scholar 

  • Xiao Z Y, 2013. Spatial effect of population-economic distribution consistency in China. Population Research, 37(5): 42–51. (in Chinese)

    Google Scholar 

  • Xu Y Z, Guan J W, 2011. On the convergence of regional energy efficiency in China: A perspective of spatial economics. Journal of Finance and Economics, 37(1): 112–123. (in Chinese)

    Google Scholar 

  • Yang M, Yang F X, Chen X P, 2011. On influencing factors affecting China’s energy efficiency: An empirical test based on the VEC model. Resources Science, 33(1): 163–168. (in Chinese)

    Google Scholar 

  • Yin K, Wang R S, Zhou C B et al., 2012. Review of the eco-efficiency accounting method and its applications. Acta Ecologica Sinica, 32(11): 3595–3605. (in Chinese)

    Article  Google Scholar 

  • Yuan X L, Zhang B S, Yang W P, 2009. The total factor energy efficiency measurement of China based on environmental pollution. China Industrial Economics, 2: 76–86. (in Chinese)

    Google Scholar 

  • Zeng X G, 2010. Energy efficiency, potential of CO2 emission reduction and its determinations across Chinese regions. China Environmental Science, 30(10): 1432–1440. (in Chinese)

    Google Scholar 

  • Zhang J T, 2004. Quantitative Ecology. Beijing: Science Press, 264. (in Chinese)

    Google Scholar 

  • Zhang J, Wu G Y, Zhang J P, 2004. Estimation of China’s provincial capital stock: 1952–2000. Economic Research, 10: 35–44. (in Chinese)

    Google Scholar 

  • Zhang W, Wu W Y, 2011. Research on total-factor energy efficiency of metropolitan regions of Yangtze River Delta based on environment performance. Economic Research Journal, 10: 95–109. (in Chinese)

    Google Scholar 

  • Zhao L S, Sun C Z, Zheng D F, 2014. Water resource utilization efficiency and its spatial spillover effects measure in China. Acta Geographica Sinica, 69(1): 121–133. (in Chinese)

    Article  Google Scholar 

  • Zhou W Q, Nie M, 2012. Regional differences in the efficiency of industrial carbon emissions in China. Journal of Quantitative and Technical Economics, 9: 58–70. (in Chinese)

    Google Scholar 

  • Zuo Z M, Yang L, 2011. Analysis of total factor energy efficiency in China: Based on SBM model. Statistics and Decision, 20: 105–107. (in Chinese)

    Google Scholar 

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Authors and Affiliations

  1. Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, Dalian, 116029, Liaoning, China

    Wei Guan

  2. College of Urban and Environment Science, Liaoning Normal University, Dalian, 116029, Liaoning, China

    Wei Guan & Shuting Xu

Authors
  1. Wei Guan
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  2. Shuting Xu
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Correspondence to Wei Guan.

Additional information

Foundation: The MOE Project of Key Research Institute of Humanities and Social Sciences in University, No.14JJD79 0044; Science and Technology Research Program Supported by Dalian Municipal Science and Technology Bureau, No.2015D12ZC182

Guan Wei (1959–), Professor, specialized in regional economy and industrial planning.

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Guan, W., Xu, S. Study of spatial patterns and spatial effects of energy eco-efficiency in China. J. Geogr. Sci. 26, 1362–1376 (2016). https://doi.org/10.1007/s11442-016-1332-x

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  • DOI: https://doi.org/10.1007/s11442-016-1332-x

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