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Does government transparency contribute to improved eco-efficiency performance? An empirical study of 262 cities in China

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  • Li, Zhi
  • Ouyang, Xiaoling
  • Du, Kerui
  • Zhao, Yang

Abstract

Considering the properties of environment from the perspective of a public good, this paper aims to examine the relationship between government transparency and eco-efficiency performance (EEP). By applying a conditional slack-based measure (SBM) model, local linear regression (LLR) and a nonparametric significance test, we conduct an empirical analysis based on 262 cities in China during the period of 2005–2012. The results demonstrated that: (1) the overall eco-efficiency of China was low due to the fact that the EEP scores of most of the cities were below 0.5; (2) the eco-efficiency performances of a majority of the municipalities & sub-provincial (M&S) cities were better than those of the prefecture-level cities, and the former showed greater improvements than the latter on eco-efficiency performances, although the M&S cities experienced faster paces of urbanization and consumed more resources; (3) there exists a nonlinear relationship between government transparency and eco-efficiency performance. In other words, if the government information was more transparent, it would be more beneficial to the improvement of eco-efficiency, and the phenomena were more significant in M&S cities such as Shanghai, Beijing and Guangzhou. Policy implications are thus drawn in this paper for promoting eco-efficiency improvement in China's M&S cities and prefecture-level cities.

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  • 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.
  • Handle: RePEc:eee:enepol:v:110:y:2017:i:c:p:79-89
    DOI: 10.1016/j.enpol.2017.08.001
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    as
    1. Gundlach, Erich & Paldam, Martin, 2009. "The transition of corruption: From poverty to honesty," Economics Letters, Elsevier, vol. 103(3), pages 146-148, June.
    2. Bădin, Luiza & Daraio, Cinzia & Simar, Léopold, 2012. "How to measure the impact of environmental factors in a nonparametric production model," European Journal of Operational Research, Elsevier, vol. 223(3), pages 818-833.
    3. Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
    4. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    5. Daraio, Cinzia & Simar, Léopold, 2014. "Directional distances and their robust versions: Computational and testing issues," European Journal of Operational Research, Elsevier, vol. 237(1), pages 358-369.
    6. Williams, Andrew, 2011. "Shining a Light on the Resource Curse: An Empirical Analysis of the Relationship Between Natural Resources, Transparency, and Economic Growth," World Development, Elsevier, vol. 39(4), pages 490-505, April.
    7. Picazo-Tadeo, Andrés J. & Beltrán-Esteve, Mercedes & Gómez-Limón, José A., 2012. "Assessing eco-efficiency with directional distance functions," European Journal of Operational Research, Elsevier, vol. 220(3), pages 798-809.
    8. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    9. Halkos, George E. & Tzeremes, Nickolaos G., 2014. "Public sector transparency and countries’ environmental performance: A nonparametric analysis," Resource and Energy Economics, Elsevier, vol. 38(C), pages 19-37.
    10. Welsch, Heinz, 2004. "Corruption, growth, and the environment: a cross-country analysis," Environment and Development Economics, Cambridge University Press, vol. 9(5), pages 663-693, October.
    11. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    12. Badin, Luiza & Daraio, Cinzia & Simar, Léopold, 2010. "Optimal bandwidth selection for conditional efficiency measures: A data-driven approach," European Journal of Operational Research, Elsevier, vol. 201(2), pages 633-640, March.
    13. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.
    14. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    15. Damania, Richard, 2002. "Environmental controls with corrupt bureaucrats," Environment and Development Economics, Cambridge University Press, vol. 7(3), pages 407-427, July.
    16. Esty, Daniel C. & Porter, Michael E., 2005. "National environmental performance: an empirical analysis of policy results and determinants," Environment and Development Economics, Cambridge University Press, vol. 10(4), pages 391-434, August.
    17. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    18. Christopher Ellis & John Fender, 2006. "Corruption and Transparency in a Growth Model," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 13(2), pages 115-149, May.
    19. 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.
    20. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    21. Lin, Boqiang & Li, Jianglong, 2014. "The rebound effect for heavy industry: Empirical evidence from China," Energy Policy, Elsevier, vol. 74(C), pages 589-599.
    22. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    23. Fredriksson, Per G. & List, John A. & Millimet, Daniel L., 2003. "Bureaucratic corruption, environmental policy and inbound US FDI: theory and evidence," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1407-1430, August.
    24. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
    25. Sun, Chuanwang & Ouyang, Xiaoling, 2016. "Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China," Energy Policy, Elsevier, vol. 88(C), pages 56-63.
    26. He, Xiaoping, 2015. "Regional differences in China's CO2 abatement cost," Energy Policy, Elsevier, vol. 80(C), pages 145-152.
    27. Torvik, Ragnar, 2002. "Natural resources, rent seeking and welfare," Journal of Development Economics, Elsevier, vol. 67(2), pages 455-470, April.
    28. 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.
    29. Kolstad, Ivar & Wiig, Arne, 2009. "Is Transparency the Key to Reducing Corruption in Resource-Rich Countries?," World Development, Elsevier, vol. 37(3), pages 521-532, March.
    30. Peter Hall & Jeff Racine & Qi Li, 2004. "Cross-Validation and the Estimation of Conditional Probability Densities," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1015-1026, December.
    31. George Halkos & Aksel Sundström & Nickolaos Tzeremes, 2015. "Regional environmental performance and governance quality: a nonparametric analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 621-644, October.
    32. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    33. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    34. Esty, Daniel C. & Porter, Michael E., 2005. "National environmental performance: an empirical analysis of policy results and determinants," Environment and Development Economics, Cambridge University Press, vol. 10(4), pages 381-389, August.
    35. Fredriksson, Per G. & Svensson, Jakob, 2003. "Political instability, corruption and policy formation: the case of environmental policy," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1383-1405, August.
    36. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    37. Fredriksson, Per G. & Vollebergh, Herman R. J. & Dijkgraaf, Elbert, 2004. "Corruption and energy efficiency in OECD countries: theory and evidence," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 207-231, March.
    38. De Witte, Kristof & Mika, Kortelainen, 2009. "Blaming the exogenous environment? Conditional efficiency estimation with continuous and discrete exogenous variables," MPRA Paper 14034, University Library of Munich, Germany.
    39. Cole, Matthew A. & Fredriksson, Per G., 2009. "Institutionalized pollution havens," Ecological Economics, Elsevier, vol. 68(4), pages 1239-1256, February.
    40. Figge, Frank & Hahn, Tobias, 2004. "Sustainable Value Added--measuring corporate contributions to sustainability beyond eco-efficiency," Ecological Economics, Elsevier, vol. 48(2), pages 173-187, February.
    41. Du, Gang & Sun, Chuanwang & Fang, Zhongnan, 2015. "Evaluating the Atkinson index of household energy consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1080-1087.
    42. 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.
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