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On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone

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Abstract

Environmental issues are currently of great concern, especially in the area of sustainable development. Thus, data envelopment analysis (DEA) has enjoyed much popularity, given its ability to measure environmental efficiency and shadow prices at the macro-economic level. In this study, we use the duality theory of slacks-based measure in DEA to develop a general procedure for modeling environmental production characteristics. By using the proposed methodology, we can measure environmental technical efficiency, the shadow prices of emissions, and inter-factor substitution possibilities. Further, we use the proposed methodology to carry out an empirical study of the Poyang Lake Ecological Economics Zone in China. Finally, we suggest some policy implications based on the study’s empirical results.

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Notes

  1. However, recently, SBM is critical because it adjusts the inefficient observations to the frontier by going the maximum distance which is not consist with basic economic assumption. Alternative Minimum distance-SBM is proposed in Tone (2010) to overcome this problem.

  2. It should be noted that using the investment in fixed asset cannot represent the real capital stock, it is a limitation of this study due to the data unavailability.

References

  • 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, 1909–1917.

    Article  Google Scholar 

  • Choi, Y., Lee, E. Y., & Wu, D. D. (2010). The risk-effective sustainability of policies: The small business credit environment in Korea. International Journal of Environment and Pollution, 42, 317–329.

    Article  Google Scholar 

  • Choi, Y., Zhang, N., & Zhou, P. (2012). Efficiency and abatement costs of energy-related CO\(^{2}\) emissions in China: A slacks-based efficiency measure. Applied Energy, 98, 198–208.

    Article  Google Scholar 

  • Färe, R., Grosskopf, S., Lovell, C. A. K., & Yaisawarng, S. (1993). Derivation of shadow prices for undesirable outputs: A distance function approach. The Review of Economics and Statistics, 75, 374–380.

    Article  Google Scholar 

  • Färe, R., Grosskopf, S., Lovell, C. A. K., Noh, D., & Weber, W. (2005). Characteristics of a polluting technology: Theory and practice. Journal of Econometrics, 126, 469–492.

    Article  Google Scholar 

  • Guo, X., Zhu, L., Fan, Y., & Xie, B. (2011). Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA. Energy Policy, 39, 2352–2360.

    Article  Google Scholar 

  • Hu, J. L., & Wang, S. C. (2006). Total-factor energy efficiency of regions in China. Energy Policy, 34, 3206–3217.

    Article  Google Scholar 

  • Lee, M., & Zhang, N. (2012). Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries. Energy Economics, 34, 1492–1497.

    Article  Google Scholar 

  • Lee, M., & Jin, Y. (2012). The substitutability of nuclear capital for thermal capital and the shadow price in the Korean electric power industry. Energy Policy, 51, 834–841.

    Article  Google Scholar 

  • Our Common Future. (1987). The world commission on environment and development. Oxford: Oxford University Press.

    Google Scholar 

  • Shi, G. M., Bi, J., & Wang, J. (2010). Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs. Energy Policy, 38, 6172–6179.

    Article  Google Scholar 

  • Song, M. L., Yang, L., Wu, J., & Lv, W. (2013). Energy saving in China: Analysis on the energy efficiency via bootstrap-DEA approach. Energy Policy, 57, 1–6.

    Article  Google Scholar 

  • Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130, 498–509.

    Article  Google Scholar 

  • Tone, K. (2010). Variations on the theme of slacks-based measure of efficiency in DEA. European Journal of Operational Research, 200, 901–907.

    Article  Google Scholar 

  • Wang, Q., Zhao, Z., Zhou, P., & Zhou, D. (2013). Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach. Economic Modelling, 35, 283–289.

    Article  Google Scholar 

  • Wei, C., Ni, J., & Du, L. (2012). Regional allocation of carbon dioxide abatement in China. China Economic. Review, 23, 552–565.

    Article  Google Scholar 

  • Wu, F., Fan, L. W., Zhou, P., & Zhou, D. Q. (2012). Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis. Energy Policy, 49, 164–172.

    Article  Google Scholar 

  • Wu, Y. (2010). Regional environmental performance and its determinants in China. China & World Economy, 18, 73–89.

    Article  Google Scholar 

  • Zhang, N., & Choi, Y. (2013). Environmental energy efficiency of China’s regional economies: A non-oriented slacks-based measure analysis. Social Science Journal, 50, 225–234.

    Article  Google Scholar 

  • Zhou, P., Ang, B. W., & Poh, K. L. (2006). Slacks-based efficiency measures for modeling environmental performance. Ecological Economics, 60, 111–118.

    Article  Google Scholar 

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Acknowledgments

We thank the financial support provided by the National science foundation of China (41461118;41161087), Major Project of National Social Science Foundation, China (12&ZD213), and the China Postdoctoral Foundation (2014M551849).

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Correspondence to Ning Zhang.

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Zhang, N., Kong, F. & Kung, CC. On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone. Comput Econ 46, 389–404 (2015). https://doi.org/10.1007/s10614-014-9467-2

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  • DOI: https://doi.org/10.1007/s10614-014-9467-2

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