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Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China

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  • Yongyi Cheng

    (School of Business, Ningbo University, Ningbo 315211, China
    Center for Ecological Civilization of Yangtze River Delta, Ningbo University, Ningbo 315211, China
    East China Sea Institute, Ningbo University, Ningbo 315211, China)

  • Tianyuan Shao

    (School of Business, Ningbo University, Ningbo 315211, China)

  • Huilin Lai

    (School of Business, Ningbo University, Ningbo 315211, China)

  • Manhong Shen

    (School of Business, Ningbo University, Ningbo 315211, China
    Center for Ecological Civilization of Yangtze River Delta, Ningbo University, Ningbo 315211, China
    East China Sea Institute, Ningbo University, Ningbo 315211, China)

  • Yi Li

    (International United Faculty between Ningbo University and University of Angers, Ningbo University, Ningbo 315211, China)

Abstract

Urban agglomerations are not only the core areas leading economic growth but also the fronts facing severe resource and environmental challenges. This paper aimed to increase our understanding of urban eco-efficiency and its influencing factors and thus provide the scientific basis for green development. We developed a model that incorporates super-efficiency, slacks-based-measure, and global-frontier technology to calculate the total-factor eco-efficiency (TFEE) and used a spatial panel Tobit model to take into account spatial spillover effects. An empirical study was conducted utilizing a prefecture-level dataset in the Yangtze River Delta Urban Agglomeration (YRDUA) from 2003 to 2016. The main findings reveal that significant spatial differences exist in TFEE in the YRDUA: high-TFEE cities were majorly located in the coastal areas, while low-TFEE cities were mostly situated inland. Overall, TFEE shows a trend of “decline first and then rise with fluctuation”; the disparity between inland and coastal regions has expanded. Further regression analysis suggests that industrial structure, environmental regulation, and innovation were positively related to TFEE, while foreign direct investment was not conducive to the growth in TFEE. The relationship between population intensity and urban eco-efficiency is an inverted U-shaped curve. Finally, several specific policy implications were raised based on the results.

Suggested Citation

  • Yongyi Cheng & Tianyuan Shao & Huilin Lai & Manhong Shen & Yi Li, 2019. "Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:20:p:3814-:d:274802
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    as
    1. Copeland, Brian R. & Taylor, M. Scott, 1999. "Trade, spatial separation, and the environment," Journal of International Economics, Elsevier, vol. 47(1), pages 137-168, February.
    2. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    3. Yongyi Cheng & Liheng Lu & Tianyuan Shao & Manhong Shen & Laiqun Jin, 2018. "Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach," IJERPH, MDPI, vol. 15(12), pages 1-23, December.
    4. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    5. Brian R. Copeland & M. Scott Taylor, 2009. "Trade, Tragedy, and the Commons," American Economic Review, American Economic Association, vol. 99(3), pages 725-749, June.
    6. Marcel Timmer & Bart Los, 2005. "Localized Innovation and Productivity Growth in Asia: An Intertemporal DEA Approach," Journal of Productivity Analysis, Springer, vol. 23(1), pages 47-64, January.
    7. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    8. 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.
    9. Kunapatarawong, Rasi & Martínez-Ros, Ester, 2016. "Towards green growth: How does green innovation affect employment?," Research Policy, Elsevier, vol. 45(6), pages 1218-1232.
    10. Kahn, Matthew E., 2004. "Domestic pollution havens: evidence from cancer deaths in border counties," Journal of Urban Economics, Elsevier, vol. 56(1), pages 51-69, July.
    11. Timo Kuosmanen & Mika Kortelainen, 2005. "Measuring Eco‐efficiency of Production with Data Envelopment Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 59-72, October.
    12. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 83-116.
    13. Li, Zhi & Ouyang, Xiaoling & Du, Kerui & Zhao, Yang, 2017. "Does government transparency contribute to improved eco-efficiency performance? An empirical study of 262 cities in China," Energy Policy, Elsevier, vol. 110(C), pages 79-89.
    14. Chung, Sunghoon, 2014. "Environmental regulation and foreign direct investment: Evidence from South Korea," Journal of Development Economics, Elsevier, vol. 108(C), pages 222-236.
    15. Cropper, Maureen & Griffiths, Charles, 1994. "The Interaction of Population Growth and Environmental Quality," American Economic Review, American Economic Association, vol. 84(2), pages 250-254, May.
    16. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    17. Tian, Guangjin & Jiang, Jing & Yang, Zhifeng & Zhang, Yaoqi, 2011. "The urban growth, size distribution and spatio-temporal dynamic pattern of the Yangtze River Delta megalopolitan region, China," Ecological Modelling, Elsevier, vol. 222(3), pages 865-878.
    18. Tao, Feng & Zhang, Huiqin & Hu, Jun & Xia, X.H., 2017. "Dynamics of green productivity growth for major Chinese urban agglomerations," Applied Energy, Elsevier, vol. 196(C), pages 170-179.
    19. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    20. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
    21. Defeng Zheng & Shuai Hao & Caizhi Sun & Leting Lyu, 2019. "Spatial Correlation and Convergence Analysis of Eco-Efficiency in China," Sustainability, MDPI, vol. 11(9), pages 1-16, April.
    22. Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.
    23. Ulrich Wagner & Christopher Timmins, 2009. "Agglomeration Effects in Foreign Direct Investment and the Pollution Haven Hypothesis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(2), pages 231-256, June.
    24. Oh, Dong-hyun & Heshmati, Almas, 2010. "A sequential Malmquist-Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology," Energy Economics, Elsevier, vol. 32(6), pages 1345-1355, November.
    25. Korhonen, Pekka J. & Luptacik, Mikulas, 2004. "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 437-446, April.
    26. Zhang, Bing & Bi, Jun & Fan, Ziying & Yuan, Zengwei & Ge, Junjie, 2008. "Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach," Ecological Economics, Elsevier, vol. 68(1-2), pages 306-316, December.
    27. Werner Antweiler & Brian R. Copeland & M. Scott Taylor, 2001. "Is Free Trade Good for the Environment?," American Economic Review, American Economic Association, vol. 91(4), pages 877-908, September.
    28. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    29. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    30. Xiaoqing Wang & Qiuming Wu & Salman Majeed & Donghao Sun, 2018. "Fujian’s Industrial Eco-Efficiency: Evaluation Based on SBM and the Empirical Analysis of lnfluencing Factors," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    31. Costantini, Valeria & Mazzanti, Massimiliano & Montini, Anna, 2013. "Environmental performance, innovation and spillovers. Evidence from a regional NAMEA," Ecological Economics, Elsevier, vol. 89(C), pages 101-114.
    32. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    33. Kellenberg, Derek K., 2009. "An empirical investigation of the pollution haven effect with strategic environment and trade policy," Journal of International Economics, Elsevier, vol. 78(2), pages 242-255, July.
    34. Weixin Yang & Lingguang Li, 2017. "Efficiency Evaluation and Policy Analysis of Industrial Wastewater Control in China," Energies, MDPI, vol. 10(8), pages 1-18, August.
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