447
Views
49
CrossRef citations to date
0
Altmetric
Articles

Environmental performance evaluation of Chinese industrial systems: a network SBM approach

, , &

References

  • Arcelus, F. J., & Arocena, P. (2005). Productivity differences across OECD countries in the presence of environmental constraints. Journal of the Operational Research Society, 56(12), 1352–1362.
  • Berg, S. A., Forsund, F. R., & Jansen, E. S. (1992). Malmquist indices of productivity growth during the deregulation of Norwegian banking, 1980–1989. Scandinavian Journal of Economics, 94, S211–S228.
  • Bi, G., Luo, Y., Ding, J., & Liang, L. (2015). Environmental performance analysis of Chinese industry from a slacks-based perspective. Annals of Operations Research, 228(1), 65–80.
  • Bian Y., & Yang F. (2010). Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon’s entropy. Energy Policy, 38(4), 1909–1917.
  • Bremberger, C., Bremberger, F., Luptacik, M., & Schmitt, S. (2015). Regulatory impact of environmental standards on the eco-efficiency of firms. Journal of the Operational Research Society, 66(3), 421–433.
  • Chang, Y. C., & Wang, N. (2010). Environmental regulations and emissions trading in China. Energy Policy, 38(7), 3356–3364.
  • Chames, A. (1994). Data envelopment analysis: Theory, methodology and applications. Springer.
  • Chames, A., & Cooper, W. W. (1984). Preface to topics in data envelopment analysis. Annals of Operations Research, 2(1), 59–94.
  • Chen, P. C., Chang, C. C., Yu, M. M., et al. (2012). Performance measurement for incineration plants using multi-activity network data envelopment analysis: The case of Taiwan. Journal of Environmental Management, 93(1), 95–103.
  • Chen, Y., & Zhu, J. (2004). Measuring information technology’s indirect impact on firm performance. Information Technology and Management, 5(1), 9–22.
  • Cook, W. D., Liang, L., & Zhu, J. (2010). Measuring performance of two stage network structures by DEA: A review and future perspective. Omega, 38(6), 423–430.
  • Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Data envelopment analysis: History, models, and interpretations. Handbook on data envelopment analysis (pp. 1–39). Berlin: Springer.
  • Daniel, W. W. (1990). Applied nonparametric statistics.
  • Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34(1), 35–49.
  • Färe, R., Grosskopf, S., Lovell, C. K., & Pasurka, C. (1989). Multilateral productivity comparisons when some outputs are undesirable: A nonparametric approach. The Review of Economics and Statistics, 71(1), 90–98.
  • Geng, Y., Haight, M., & Zhu, Q. (2007). Empirical analysis of eco-industrial development in China. Sustainable Development, 15(2), 121–133.
  • Gomes, E. G., & Lins, M. E. (2008). Modelling undesirable outputs with zero sum gains data envelopment analysis models. Journal of the Operational Research Society, 59(5), 616–623.
  • Hailu, A., & Veeman, T. S. (2001). Non-parametric productivity analysis with undesirable outputs: An application to the Canadian pulp and paper industry. American Journal of Agricultural Economics, 83(3), 605–616.
  • Hua, Z., Bian, Y., & Liang, L. (2007). Eco-efficiency analysis of paper mills along the Huai River: An extended DEA approach. Omega, 35(5), 578–587.
  • Kao, C. (2014). Network data envelopment analysis: A review. European Journal of Operational Research, 239(1), 1–16.
  • Kao, C., & Hwang, S. N. (2008). Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185(1), 418–429.
  • Khalili-Damghani, K., & Shahmir, Z. (2015). Uncertain network data envelopment analysis with undesirable outputs to evaluate the efficiency of electricity power production and distribution processes. Computers & Industrial Engineering, 88, 131–150.
  • Kordrostami, S., & Amirteimoori, A. (2005). Undesirable factors in multi-component performance measurement. Applied Mathematics & Computation, 171(2), 721–729.
  • Lewis, H. F., & Sexton, T. R. (2004). Network DEA: Efficiency analysis of organizations with complex internal structure. Computers & Operations Research, 31(2), 1365–1410.
  • Liang, L., Li Y, & Li S (2009). Increasing the discriminatory power of DEA in the presence of the undesirable outputs and large dimensionality of data sets with PCA. Expert Systems with Applications, 36(3), 5895–5899.
  • Liu, J. S., & Lu, W. M. (2010). DEA and ranking with the network-based approach: A case of R&D performance. Omega, 38(6), 453–464.
  • Liu, L. (2008). Sustainability efforts in China: Reflections on the environmental Kuznets curve through a locational evaluation of “Eco-Communities”. Annals of the Association of American Geographers, 98(6), 604–629.
  • Liu, W., Meng, W., Li, X., & Zhang, D. (2010). DEA models with undesirable inputs and outputs. Annals of Operations Research, 173(1), 177–194.
  • Liu, W., Zhou, Z., Ma, C., Liu, D., & Shen, W. (2015). Two-stage DEA models with undesirable input-intermediate-outputs. Omega, 56, 74–87.
  • Lozano, S. (2015). Slacks-based inefficiency approach for general networks with bad outputs: An application to the banking sector. Omega, 60, 73–84.
  • Lozano, S., Gutiérrez, E., & Moreno, P. (2013). Network DEA approach to airports performance assessment considering undesirable out puts. Applied Mathematical Modelling, 37(4), 1665–1676.
  • Lozano, S., & Gutierrez, E. (2008). Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions. Ecological Economics, 66(4), 687–699.
  • Moreno, P., & Lozano, S. (2014). A network DEA assessment of team efficiency in the NBA. Annals of Operations Research, 214(1), 99–124.
  • Sarkis, J., & Cordeiro, J. J. (2009). Investigating technical and ecological efficiencies in the electricity generation industry: Are there win-win opportunities? Journal of the Operational Research Society, 60(9), 1160–1172.
  • Seiford, L. M., & Zhu, J. (2002). Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142(1), 16–20.
  • Sexton, T. R., & Lewis, H. F. (2003). Two-stage DEA: An application to major league baseball. Journal of Productivity Analysis, 19(2), 227–249.
  • Shi, H., & Zhang, L. (2006). China’s environmental governance of rapid industrialisation. Environmental Politics, 15(2), 271–292.
  • Song, M., Wang, S., & Cen, L. (2014). Comprehensive efficiency evaluation of coal enterprises from production and pollution treatment process. Journal of Cleaner Production, 104, 374–379.
  • Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 142(3), 16–20.
  • Tone, K., & Tsutsui, M. (2009). Network DEA: A slacks-based measure approach. European Journal of Operational Research, 197(1), 243–252.
  • Tone, K., & Tsutsui, M. (2010). Dynamic DEA: A slacks-based measure approach. Omega, 38(3), 145–156.
  • Vaz, C. B., Camanho, A., & Guimarães, R. (2010). The assessment of retailing efficiency using network data envelopment analysis. Annals of Operations Research, 173(1), 5–24.
  • Wang, K., Yu, S., & Zhang, W. (2013). China’s regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation. Mathematical and Computer Modelling, 58(5), 1117–1127.
  • Yang, Z. (2012). The right to carbon emission: A new right to development. America Journal of Climate Change, 1(2), 108.
  • You, S., & Yan, H. (2011). A new approach in modelling undesirable output in DEA model. Journal of the Operational Research Society, 62(12), 2146–2156.
  • You, Y. Q., & Jie, T. (2014). A study of the operation efficiency and cost performance indices of power-supply companies in china based on a dynamic network slacks-based measure model. Omega, 60, 85–97.
  • Zhang, B., Bi, J., Fan, Z., Yuan, Z., & Ge, J. (2008). Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach. Ecological Economics, 68(1), 306–316.
  • Zhang, K. M., & Wen, Z. G. (2008). Review and challenges of policies of environmental protection and sustainable development in China. Journal of Environmental Management, 88(4), 1249–1261.
  • Zhang, N., & Choi, Y. (2013). Environmental energy efficiency of China’s regional economies: A non-oriented slacks-based measure analysis. The Social Science Journal, 50(2), 225–234.
  • Zhang, X. P., Cheng, X. M., Yuan, J. H., & Gao, X. J. (2011). Total-factor energy efficiency in developing countries. Energy Policy, 39(2), 644–650.
  • 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, 189(1), 1–18.
  • Zhou, P., Poh, K. L., & Ang, B. W. (2007). A non-radiaI DEA approach to measuring environmental performance. European Journal of Operational Research, 178(1), 1–9.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.