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Efficiency differences among China's resource-based cities and their determinants

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  • Li, Bo
  • Dewan, Hasnat

Abstract

Based on the 2012 data from 116 resource-based cities in China, this paper measures efficiency in resource-based cities by using the super-SBM model, analyzes the differences in efficiency levels among cities, and finds their major determinants. It also examines if the effects of the determinants on efficiency vary at different efficiency-levels by using quantile regression. The four major findings of this study are as follows. First, most of the resource-based cities in China are total factor energy (TFE) inefficient. Second, the level of industrialization, the contribution of service industry to local GDP, and the size of built districts in the city are the three major determinants with significantly positive effect on efficiency. On the other hand, consumer spending, the local government expenditure, and the availability of vocational schools are the three major determinants with significantly negative effect on efficiency. Third, the six determining factors account for 79% of the efficiency differences among the cities. However, the contributions of the factors to TFE efficiency vary widely. Fourth, the effects of the determinants on TFE efficiency change with the efficiency-level of the city.

Suggested Citation

  • Li, Bo & Dewan, Hasnat, 2017. "Efficiency differences among China's resource-based cities and their determinants," Resources Policy, Elsevier, vol. 51(C), pages 31-38.
  • Handle: RePEc:eee:jrpoli:v:51:y:2017:i:c:p:31-38
    DOI: 10.1016/j.resourpol.2016.11.003
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    1. Badzyan V., 2016. "Theoretical basis of forest and land resources," Balanced Nature Using, Institute of agroecology and environmental management, vol. 7(2), pages 28-34, April.
    2. Byrnes, Patricia E. & Storbeck, James E., 2000. "Efficiency gains from regionalization: economic development in China revisited," Socio-Economic Planning Sciences, Elsevier, vol. 34(2), pages 141-154, June.
    3. Ying Long & Kang Wu, 2016. "Shrinking cities in a rapidly urbanizing China," Environment and Planning A, , vol. 48(2), pages 220-222, February.
    4. Yu, Jing & Zhang, Zhongjun & Zhou, Yifan, 2008. "The sustainability of China's major mining cities," Resources Policy, Elsevier, vol. 33(1), pages 12-22, March.
    5. Jacobson, Arne & Milman, Anita D. & Kammen, Daniel M., 2005. "Letting the (energy) Gini out of the bottle: Lorenz curves of cumulative electricity consumption and Gini coefficients as metrics of energy distribution and equity," Energy Policy, Elsevier, vol. 33(14), pages 1825-1832, September.
    6. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    7. Zhu, Joe, 1998. "Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities," European Journal of Operational Research, Elsevier, vol. 111(1), pages 50-61, November.
    8. Zinovchuk N., 2016. "Transformation of Land Resources as Public Goods," Balanced Nature Using, Institute of agroecology and environmental management, vol. 6(2), pages 5-10, April.
    9. Lau, Pong-Lung & Koo, Tay T.R. & Dwyer, Larry, 2017. "Metrics to measure the geographic characteristics of tourism markets: An integrated approach based on Gini index decomposition," Tourism Management, Elsevier, vol. 59(C), pages 171-181.
    10. Florinskaya Yulia & Mkrtchian N., 2016. "Resources Of Migration Growth Have Run Dry," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 38-42, May.
    11. Cheng, Yuk-shing & Li, Sung-ko, 2006. "Income inequality and efficiency: A decomposition approach and applications to China," Economics Letters, Elsevier, vol. 91(1), pages 8-14, April.
    12. Yung-Ho Chiu & Yu-Chuan Chen & Xue-Jie Bai, 2011. "Efficiency and risk in Taiwan banking: SBM super-DEA estimation," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 587-602.
    13. Anthony Shorrocks, 2013. "Decomposition procedures for distributional analysis: a unified framework based on the Shapley value," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(1), pages 99-126, March.
    14. Zhang, Xing-Ping & Cheng, Xiao-Mei & Yuan, Jia-Hai & Gao, Xiao-Jun, 2011. "Total-factor energy efficiency in developing countries," Energy Policy, Elsevier, vol. 39(2), pages 644-650, February.
    15. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    16. Sen, Amartya, 1973. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198281931, Decembrie.
    17. 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.
    18. Charnes, Abraham & Cooper, William W. & Li, Shanling, 1989. "Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities," Socio-Economic Planning Sciences, Elsevier, vol. 23(6), pages 325-344.
    19. De Meij, A. & Vinuesa, J.-F. & Maupas, V. & Waddle, J. & Price, I. & Yaseen, B. & Ismail, A., 2016. "Wind energy resource mapping of Palestine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 551-562.
    20. Hiroaki Takiguchi & Kazuhiko Takemoto, 2008. "Japanese 3R Policies Based on Material Flow Analysis," Journal of Industrial Ecology, Yale University, vol. 12(5-6), pages 792-798, October.
    Full references (including those not matched with items on IDEAS)

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