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Environmental Science and Pollution Research

, Volume 26, Issue 5, pp 4764–4776 | Cite as

Analysis of the total factor energy efficiency and its influencing factors of the Belt and Road key regions in China

  • Zhongshan Yang
  • Xiaoxue WeiEmail author
Research Article
  • 48 Downloads

Abstract

Energy cooperation has been emphasized strongly in the Belt and Road (B&R) initiative. Therefore, the energy efficiency of China has attracted much attention from experts. However, relevant studies are still insufficient. This paper analyzes the total factor energy efficiency (TFEE) and its influencing factors of 17 B&R key regions from 2005 to 2015. We use the ratio of target energy input and actual energy input to calculate the regional TFEE under environmental constraints. The Malmquist index and the Tobit model are applied to investigate the internal and external influences of TFEE. Measurement analysis shows that the TFEE of the B&R key regions has not improved in recent years and it is unbalanced during the study period. Regions in the east area have the highest TFEE; regions in the west area have the second high TFEE; and regions in the north area have the lowest TFEE. Regression analysis shows that for the B&R key regions, technical changes, coal consumption, research and development, and environmental pollution have mainly negative effects on TFEE; pure efficiency changes, scale efficiency changes, economic structure, opening up, and government finance have mainly positive effects on TFEE. Finally, precise policy implications are proposed.

Keywords

The Belt and Road Total factor energy efficiency Malmquist Tobit model Influencing factors 

Notes

Funding information

This work is supported by the National Social Science Foundation of China (Grant564 No.13&ZD171).

References

  1. Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag Sci 30:1078–1092CrossRefGoogle Scholar
  2. BP (2018) World energy statistics yearbook 2018. https://www.bp.com/zh_cn/china/reports-and-publications/_bp_2018_.html. Accessed 11 April 2018
  3. Caves DW, Christensen LR, Diewert WE (1982a) Multilateral comparisons of output, input, and productivity using superlative index numbers. Econ J 92:73–86CrossRefGoogle Scholar
  4. Caves DW, Christensen LR, Diewert WE (1982b) The Economic theory of index numbers and the measurement of input, output, and productivity. Econometrica 50:1393–1413CrossRefGoogle Scholar
  5. Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2:429–444CrossRefGoogle Scholar
  6. Chen, S. Q. (2015) What is the “New Normal Economy”?. http://www.qstheory.cn/laigao/2015-03/19/c_1114688943.htm. Accessed 19 March 2015
  7. Chen Z (2017) Energy Resource Endowment, Government Intervention and Analysis on ChinaEnergy Efficiency. Doctor Thesis, In: Zhongnan University of Economics and Law, Wuhan, ChinaGoogle Scholar
  8. Chen Y, Xu JT (2018) An assessment of energy efficiency based on environmental constraints and its influencing factors in China. Environ Sci Pollut Res 53:1–14Google Scholar
  9. Chen X, Gao Y, An Q (2018) Energy efficiency measurement of Chinese Yangtze River Delta’ s cities transportation: a DEA window analysis approachGoogle Scholar
  10. Coelli TJ, Rao DSP, O’Donnell CJ, Battese GE (2005) An introduction to efficiency and productivity analysis. Springer USGoogle Scholar
  11. Färe R, Grosskopf S, Norris M, Zhang ZY (1994) Production Frontiers. Am Econ Rev 84: 66–83Google Scholar
  12. Farrell MJ (1957) The measurement of productive efficiency. J R Stat Soc Ser A 120:253–290CrossRefGoogle Scholar
  13. Ferrier GD, Lovell CAK (1990) Measuring cost efficiency in banking: econometric and linear programming evidence. J Econom 46:229–245Google Scholar
  14. Greening LA, Greene DL, Difiglio C (2000) Energy efficiency and consumption-the rebound effect-a survey. Energy Policy 28:389–401CrossRefGoogle Scholar
  15. Guan A, Shi J, Zhang Q (2014) Research on total factor energy efficiency in western region of China-based on super -DEA and Malmquist. J Ind Technol Econ 2:32–40Google Scholar
  16. Hu JL, Wang SC (2006) Total-factor energy efficiency of regions in China. Energy Policy 34:3206–3217CrossRefGoogle Scholar
  17. Huang J, Du D, Hao Y (2017) The driving forces of the change in China’s energy intensity: an empirical research using DEA-Malmquist and spatial panel estimations. Econ Model 65:41–50CrossRefGoogle Scholar
  18. Li LB, Hu JL (2012) Ecological total-factor energy efficiency of regions in China. Energy Policy 46:216–224CrossRefGoogle Scholar
  19. Li S, Li C (2018) Modification and application of total factor energy efficiency measurement. J Quant Tech Econ:110–125Google Scholar
  20. Li J, Xiang Y, Jia H, Chen L (2018) Analysis of total factor energy efficiency and its influencing factors on key energy-intensive industries in the Beijing-Tianjin-Hebei region. Sustain 10:111–127CrossRefGoogle Scholar
  21. Lin B, Tan R (2016) Ecological total-factor energy efficiency of China’s energy intensive industries. Ecol Indic 70:480–497CrossRefGoogle Scholar
  22. Liu W, Lin B (2018) Analysis of energy efficiency and its influencing factors in China’s transport sector. J Clean Prod 170:674–682CrossRefGoogle Scholar
  23. Liu D, Zhao S, Guo Y (2015) Energy efficiency and its determinants of Western China: total factor perspective. China Environ Sci 35:1911–1920Google Scholar
  24. Lv W, Hong X, Fang K (2015) Chinese regional energy efficiency change and its determinants analysis: Malmquist index and Tobit model. Ann Oper Res 228:9–22CrossRefGoogle Scholar
  25. Ma X, Liu Y, Wei X, Li Y, Zheng M, Li Y, Cheng C, Wu Y, Liu Z, Yu Y (2017) Measurement and decomposition of energy efficiency of Northeast China-based on super efficiency DEA model and Malmquist index. Environ Sci Pollut Res 24:19859–19873CrossRefGoogle Scholar
  26. National Bureau of Statistics of China (2018) Statistical communique of the People’s Republic of China on national economic and social development in 2017. http://www.stats.gov.cn/tjsj/zxfb/201802/t20180228_1585631.html. Accessed 28 Feb 2018
  27. Shan HJ (2008) The further estimate of China’s capital stock:1952-2006. J Quant Tech Econ 25:17–31Google Scholar
  28. Shu T, Zhong X, Zhang S (2011) TFP electricity consumption efficiency and influencing factor analysis based on DEA method. Energy Procedia 12:91–97CrossRefGoogle Scholar
  29. Tobin J (1958) Estimation of relationships for limited dependent variables. Source Econom 26:24–36CrossRefGoogle Scholar
  30. Wang B, Liu Y (2018) Study on total factor energy efficiency of Silk Road Economic Zone based on environmental effects-an empirical analysis based on 17 cities in China. Resour Dev Mark 34:463–470Google Scholar
  31. Wang S, Ma Y (2018) Influencing factors and regional discrepancies of the efficiency of carbon dioxide emissions in Jiangsu. China 90:460–468Google Scholar
  32. Wang T, Yan L, He J, Zheng S (2017) An empirical study on the effect of environmental regulation on total factor energy efficiency-decomposition verification based on Potter hypothesis. China Environ Sci 37:1571–1578Google Scholar
  33. Yu B (2017) How does industrial restructuring improve regional energy efficiency? An empirical study based on two dimensions of magnitude and quality. J Financ Econ 43:86–97Google Scholar
  34. Yuan X, Zhang B, Yang W (2009) The total factor energy efficiency measurement of China based on environmental pollution. China Ind Econ 9:76–86Google Scholar
  35. Zhang N, Choi Y (2013) Environmental energy efficiency of China’s regional economies: a non-oriented slacks-based measure analysis. Soc Sci J 50:225–234CrossRefGoogle Scholar
  36. Zhang W, Wu W (2011) Research on total-factor energy efficiency of metropolitan regions of Yangtze River Delta based on environmental performance. Econ Res J 10:95–109Google Scholar
  37. Zhang J, Wu GY, Zhang JP (2004) Estimation of the provincial material capital stock in China. Econ Res J 10:35–44Google Scholar
  38. Zhang B, Tian X, Zhu J (2017) Environmental pollution control, marketization and energy efficiency: a theoretical and empirical analysis. Nanjing J Soc Sci 2:39–46Google Scholar
  39. Zhou H, Li X (2012) The estimation method and application of the Tobit model. Econ Perspect 5:105–119Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of StatisticsDongbei University of Finance and EconomicsDalianChina

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