Skip to main content

Advertisement

Log in

Regional convergence of energy-environmental efficiency: from the perspective of environmental constraints

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

This paper conducts a convergence analysis on the energy-environmental efficiency to explore the differences between regions that reflect the implementation effect of the policies on energy-saving and emission reduction. Particularly, for the Yangtze River urban agglomeration, additive model (AM model) is applied to calculate the energy-environmental efficiency, and the convergence model is employed to analyze the heterogeneity and spatial evolution of energy-environmental efficiency. From the results, the energy-environmental efficiency for Suzhou is at a good level; the figures for Wuxi, Yangzhou, and Nantong maintain at medium level; for Zhenjiang, qualified level; and for Nanjing, Changzhou, and Taizhou, poor level. The energy-environmental efficiency of the whole Yangtze River urban agglomeration displays a downward trend of fluctuations. While Nantong reveals a divergent energy-environmental efficiency, Zhenjiang, Changzhou, Wuxi, Yangzhou, and Nanjing Cities generally show a trend of convergence. It was also recognized that the energy-environmental efficiency is gradually decreasing from Southeast to North to Southwest regions. In the past decade, the north region of Yangtze River yielded a divergent development trend, while the southeast and southwest regions appear to have a convergent development trend. In the future, the urban agglomeration needs to promote the coordinated development of the economy and the energy environment, impel the optimization and upgrading of the industrial structure, narrow the regional gap, and adjust the energy consumption habits.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Cui Q, Kuang HB, Wu CY, Li Y (2014) The changing trend and influencing factors of energy efficiency: the case of nine countries. Energy 64(1):1026–1034

    Article  Google Scholar 

  • Faere R, Grosskopf S, Lovell CAK, Pasurka C (1989) Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. Rev Econ Stat 71(1):90–98

  • Fang CY, Hu JL, Lou TK (2013) Environment-adjusted total-factor energy efficiency of Taiwan’s service sectors. Energy Policy 63:1160–1168

    Article  Google Scholar 

  • Gong CW (2016) Research on coordination between industrial structure and energy consumption structure in Jiangsu Province Based on energy intensity. (Doctoral dissertation)

  • Gu SZ, Li WM, Jia S (2018) Systematic review and problem list of China’s water security status . Dev Res 04:9–14

  • Ma J, Wang X.(2017) Industrial Environmental Efficiency Differences and Their Influencing Factors in the Yangtze River Economic Belt——Based on the Super Efficiency DEA-Malmquist-Tobit Model. Journal of Hohai University (Philosophy and Social Sciences), (3).

  • Lei M, and Xiao X. W., 2013. Research on China’s regional energy-economy-environmental efficiency under the effect of capital intertemporal. Econ Theory Econ Manag, V33(11): 5-17

  • Li LB (2012) China’s total factor energy efficiency evaluation and deconstruction——based on the dual perspective of “management-environment”. China Ind Econ 6:57–69

    Google Scholar 

  • Li ZJ, Tang D et al (2018) Comprehensive evaluation of regional sustainable development based on data envelopment analysis. Sustainability 10(11):3897

  • Lin BQ, Liu W (2015) Whether foreign trade is conducive to improving energy-environmental efficiency – taking China’s industrial industry as an example. Econ Res (9):127–141

  • Lv W, Hong X, Fang K (2016) Chinese regional energy efficiency change and its determinants analysis: Malmquist index and Tobit model. Ann Oper Res 228(1):1–14

    Google Scholar 

  • Mandal SK (2010) Do undesirable output and environmental regulation matter in energy efficiency analysis? Evidence from Indian cement industry. Energy Policy 38(10):6076–6083

    Article  Google Scholar 

  • Oh DH (2010) A global Malmquist-Luenberger productivity index. J Prod Anal 34(3):183–197

    Article  Google Scholar 

  • Oh DH, Lee JD (2010) A metafrontier approach for measuring malmquist productivity index. Empir Econ 38(1):47–64

    Article  Google Scholar 

  • Pan XX (2014) Research on regional ecological efficiency evaluation, influencing factors and convergence in China. (Doctoral dissertation, Nanchang University)

  • Pastor, Lovel (2009) The total factor energy efficiency measurement of China based on environmental pollution. China Ind Econ 2(56):76–86

  • Shestalova V (2003) Sequential Malmquist indices of productivity growth: an application to OECD industrial activities. J Prod Anal 19(2/3):211–226

    Article  Google Scholar 

  • Tang DC, Shen ZQ, Li CS, Chen YM (2012) Policies of developed countries and policy choices of China low-carbon manufacturing. Energy Procedia 01(088):547–552

  • Tian YH, He SB (2011) Re-estimation of total factor productivity growth in the region under environmental constraints: 1998-2008. China Ind Econ 1:51–58

    Google Scholar 

  • Wang K, Yang B,  Yang L(2011). Environmental efficiency measurement model and empirical study of interprovincial energy utilization in China. System Engineering (1), 8-15

  • Wei YM, Liao H, Fan Y (2007) An empirical analysis of energy efficiency in China’s iron and steel sector. Energy 32(12):2262–2270

    Article  Google Scholar 

  • Ye L, Ou XJ (2017) Spatial reconstruction of the YRUA under the new normal[J]. J Nantong Univ (Soc Sci Ed) 33(04):25–30

    Google Scholar 

  • Zhang N, Choi Y (2013) Environmental energy efficiency of China’s regional economies: a non-oriented slacks-based measure analysis. Soc Sci J 50(2):225–234

    Article  Google Scholar 

  • Zhang XP, Cheng XM, Yuan JH, Gao XJ (2011) Total-factor energy efficiency in developing countries. Energy Policy 39(2):644–650

    Article  Google Scholar 

  • Zhang HM, Xiong LF, Li LS, Zhang SF (2018) Political incentives, transformation efficiency and resource-exhausted cities[J]. J Clean Prod 196):1418–1428

    Article  Google Scholar 

  • Zhao Q, Ren Y, Wang J (2018) Temporal and spatial characteristics of potential energy anomaly in Lake Taihu. Environ Sci Pollut Res 1-10

  • Zhou S, Chen Q, & Su W (2016) Research on China's interprovincial energy environment efficiency based on sbm model. Economic Mathematics, 33(1), 57-64

  • Zhu DM, Zhao HB (2016) Regional difference analysis of China’s energy environmental efficiency under environmental constraints. Nanjing Soc Sci (4):15–23

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Xin Sheng or Benhong Peng.

Additional information

Responsible editor: Muhammad Shahbaz

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sheng, X., Peng, B., Elahi, E. et al. Regional convergence of energy-environmental efficiency: from the perspective of environmental constraints. Environ Sci Pollut Res 26, 25467–25475 (2019). https://doi.org/10.1007/s11356-019-05749-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-019-05749-z

Keywords

Navigation