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Articles

Industrial and Environmental Governance Efficiency in China's Urban Areas

References

  • Färe, R., Grosskopf, S., Lovell, C. and C. Pasurka (1989). Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. The Review of Economics and Statistics, 71(1), pages 90–98.
  • Zawaydeh, S. (2015). Energy efficiency, renewable energy targets, and CO2 reductions expected by 2020. Strategic Planning for Energy and the Environment, 35(2), pages 18–47.
  • Hoang, V. and C. Tim (2011). Measurement of agricultural total factor productivity growth incorporating environmental factors: a nutrients balance approach. Journal of Environmental Economics and Management, 62(3), pages 462–474.
  • Thatte, L. and H. Chande (2014). Measurement of environmental performance index: a case study of Thane city. IOSR Journal of Humanities and Social Science, 19(4), pages 1–7.
  • Piao, W., Kim, Y., Kim, H., Kim, M. and C. Kim (2016). Life cycle assessment and economic efficiency analysis of integrated management of wastewater treatment plants. Journal of Cleaner Production, 113, pages 325–337.
  • Filippini, M., and L. Zhang (2016). Estimation of the energy efficiency in Chinese provinces. Energy Efficiency, 9, pages 1,315–1,328.
  • Al-Refaie, A., Hammad, M. and M. Li (2016). DEA window analysis and Malmquist index to assess energy efficiency and productivity in Jordanian industrial sector. Energy Efficiency, 9, pages 1,299–1,313.
  • Henriques, J. and J. Catarino (2016). Sustainable value—an energy efficiency indicator in wastewater treatment plants. Journal of Cleaner Production, DOI: http://dx.doi.org/10.1016/j.jclepro.2016.03.173.
  • Charnes, A., Copper, W. and E. Rhodes (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), pages 429–444.
  • Seiford, L. and J. Zhu (2002). Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142, pages 16–20.
  • Atkinson, S. and J. Dorfman (2005). Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution. Journal of Econometrics, 126, pages 445–468.
  • Watanabe, M. and K. Tanaka (2007). Efficiency analysis of Chinese industry: a directional distance function approach. Energy Policy, 35, pages 6,323–6,331.
  • Zhou, P., Poh, K. and B. Ang (2007). A non-radial DEA approach to measuring environmental performance. European Journal of Operational Research, 178(1), pages 1–9.
  • Mahdiloo, M. and R. Saen (2012). A novel data envelopment analysis model for solving supplier selection problems with undesirable outputs and lack of inputs. International Journal of Logistics Systems and Management. 11(3), pages 285–305.
  • Zhao, Z. and T. Song (2013). China's regional environmental governance efficiency and its affected factors: based on empirical analysis of four-stages DEA and bootstrap-DEA model. Nanjing Journal of Social Sciences, 3, pages 18–25.
  • Shi, F. (2014). A study on regional treatment efficiency of industrial water pollution in China—based on three-stage DEA method. East China Economic Management, 28(8), pages 40–45.
  • Liu, B. and B. Wang (2016). An assessment of public spending efficiency of environment protection in local China: based on three-stage bootstrapped DEA. Journal of Zhongnan University of Economics and Law, 1, pages 89–95.
  • Tone, K. and M. Tsutsui (2014). Network DEA models: a basic framework. In: Cook, W. and Zhu J., Data envelopment analysis: a handbook of modeling internal structure and network. Springer: New York. Page 239.
  • Song, M., Zhang, L., Liu, W., et al. (2013). Bootstrap-DEA analysis of BRIC's energy efficiency based on small sample data. Applied Energy, 112, pages 1,0491–1,055.
  • Hadi-Vencheh, A., Jablonsky, J. and A. Esmaeilzadeh (2015). The slack-based measure model based on supporting hyper planes of production possibility set. Expert Systems with Applications, 42(1), pages 6,522–6,529.
  • Lan, Q. and C. Chen (2015). Soft institution, public recognition and efficiency of air pollution abatement. China Population, Resources and Environment, 25(9), pages 145–152.
  • Castellet, L. and M. Molinos-Senante (2016). Efficiency assessment of wastewater treatment plants: a data envelopment analysis approach integrating technical, economic, and environmental issues. Journal of Environmental Management, 167, pages 160–166.
  • Tu, Z. and R. Shen (2013). Does environment technology efficiency measured by traditional method underestimate environment governance efficiency? From the evidence of China's industrial provincial panel data using environmental directional distance function based on the network DEA model. Economic Review, 5, pages 89–99.
  • Aviles-Sacoto, S., Cook, W., Imanirad, R., et al. (2015). Two-stage network DEA: when intermediate measures can be treated as outputs from the second stage. Journal of the Operational Research Society, 66(11), pages 1,868–1,877.
  • Yu, Y., Zhu, W., Shi, Q., et al. (2016). Network-like DEA approach for environmental assessment: evidence from U.S. manufacturing sectors. Journal of Cleaner Production, 139, pages 277–286.
  • Lozano, S. and E. Gutiérrez (2014). A slacks-based network DEA efficiency analysis of European airlines. Transportation Planning and Technology, 37(7), pages 623–637.
  • Guo, G. and Z. Zheng (2009). Assessment on efficiency of environmental pollution control in Henan province based on DEA model. On Economic Problems, 1, pages 48–51.
  • Zhang, Y. and Q. Li (2014). Fiscal decentralization, public awareness and local environmental treatment efficiency. On Economic Problems, 3, pages 65–68.
  • Tone, K. (2001). A slack-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), pages 498–509.
  • Wang, B. and Y. Luo (2015). Empirical study on industrial process efficiency, environmental treatment efficiency and overall efficiency: using network DEA based on RAM model. World Economic Papers, 1, pages 99–119.
  • Fan, C. and H. Jiang (2016). Efficiency of industrial air pollution treatment and its difference in China. Ecological Economy, 32(8), pages 153–157.
  • Charnes, A. and W. Cooper (1962). Programming with linear fractional functionals. Naval Research Logistics Quarterly, 15, pages 333–334.
  • Cooper, W., Seiford, L. and J. Zhu (2011). Handbook on data envelopment analysis. Springer Science + Business Media, LLC: New York. Page 164.

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