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Stochastic frontier analysis of productive efficiency in China's Forestry Industry

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  • Chen, Jiandong
  • Wu, Yinyin
  • Song, Malin
  • Zhu, Zunhong

Abstract

Forest resources are vital to the development of green economics. Given the booming development of China's forestry industry and its ambitious reforestation efforts in the developing world, this paper is the first to use the output distance function to synthetically consider the economic and ecological outputs of China's forestry industry, and discuss its productive efficiency with a stochastic frontier model. Control and environmental variables are incorporated to capture heterogeneity in China's forestry industry, which helps us get an unbiased estimation. The empirical results show that there was no obvious efficiency disparity among China's economic regions except Northeastern China, and the state-owned forestry structure has a significantly negative effect on productive efficiency in China's forestry industry. Moreover, provinces with poor productive performance in the forestry industry such as Inner-Mongolia, Heilongjiang, and Hebei have been identified and their individual characteristics regarding productive efficiency have also been analyzed. The findings in this paper have targeted and practical implications for the development of China's forest green economy.

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  • Chen, Jiandong & Wu, Yinyin & Song, Malin & Zhu, Zunhong, 2017. "Stochastic frontier analysis of productive efficiency in China's Forestry Industry," Journal of Forest Economics, Elsevier, vol. 28(C), pages 87-95.
    • Handle: RePEc:eee:foreco:v:28:y:2017:i:c:p:87-95
    DOI: 10.1016/j.jfe.2017.05.005
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    as
    1. Pombo, Carlos & Taborda, Rodrigo, 2006. "Performance and efficiency in Colombia's power distribution system: Effects of the 1994 reform," Energy Economics, Elsevier, vol. 28(3), pages 339-369, May.
    2. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy & Weber, William L., 2016. "Time substitution for environmental performance: The case of Sweden manufacturing," CERE Working Papers 2016:3, CERE - the Center for Environmental and Resource Economics.
    3. 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.
    4. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    5. Chand, Narendra & Kerr, Geoffrey N. & Bigsby, Hugh, 2015. "Production efficiency of community forest management in Nepal," Forest Policy and Economics, Elsevier, vol. 50(C), pages 172-179.
    6. Xu, Jintao & Tao, Ran & Amacher, Gregory S., 2004. "An empirical analysis of China's state-owned forests," Forest Policy and Economics, Elsevier, vol. 6(3-4), pages 379-390, June.
    7. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    8. Kao, Chiang, 2010. "Malmquist productivity index based on common-weights DEA: The case of Taiwan forests after reorganization," Omega, Elsevier, vol. 38(6), pages 484-491, December.
    9. Lin, Boqiang & Wang, Xiaolei, 2014. "Exploring energy efficiency in China׳s iron and steel industry: A stochastic frontier approach," Energy Policy, Elsevier, vol. 72(C), pages 87-96.
    10. Ghosh, Ranjan & Kathuria, Vinish, 2016. "The effect of regulatory governance on efficiency of thermal power generation in India: A stochastic frontier analysis," Energy Policy, Elsevier, vol. 89(C), pages 11-24.
    11. 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.
    12. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, Oxford University Press, vol. 114(1), pages 83-116.
    13. Li, Hua & Yao, Shunbo & Yin, Runsheng & Liu, Guangquan, 2015. "Assessing the decadal impact of China's sloping land conversion program on household income under enrollment and earning differentiation," Forest Policy and Economics, Elsevier, vol. 61(C), pages 95-103.
    14. Huang, Lin & Liu, Jiyuan & Shao, Quanqin & Xu, Xinliang, 2012. "Carbon sequestration by forestation across China: Past, present, and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1291-1299.
    15. He, Haoran & Weng, Qian, 2012. "Ownership, autonomy, incentives and efficiency: Evidence from the forest product processing industry in China," Journal of Forest Economics, Elsevier, vol. 18(3), pages 177-193.
    16. Salant, Stephen W. & Yu, Xueying, 2016. "Forest loss, monetary compensation, and delayed re-planting: The effects of unpredictable land tenure in China," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 49-66.
    17. Dong, Yizhe & Firth, Michael & Hou, Wenxuan & Yang, Weiwei, 2016. "Evaluating the performance of Chinese commercial banks: A comparative analysis of different types of banks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 280-295.
    18. Raymond W. Goldsmith, 1951. "A Perpetual Inventory of National Wealth," NBER Chapters, in: Studies in Income and Wealth, Volume 14, pages 5-73, National Bureau of Economic Research, Inc.
    19. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107029514.
    20. Pérez-Reyes, Raúl & Tovar, Beatriz, 2009. "Measuring efficiency and productivity change (PTF) in the Peruvian electricity distribution companies after reforms," Energy Policy, Elsevier, vol. 37(6), pages 2249-2261, June.
    21. Cheng, Shengkui & Xu, Zengrang & Su, Yun & Zhen, Lin, 2010. "Spatial and temporal flows of China's forest resources: Development of a framework for evaluating resource efficiency," Ecological Economics, Elsevier, vol. 69(7), pages 1405-1415, May.
    22. Murillo-Zamorano, Luis R. & Vega-Cervera, Juan A., 2001. "The use of parametric and non-parametric frontier methods to measure the productive efficiency in the industrial sector: A comparative study," International Journal of Production Economics, Elsevier, vol. 69(3), pages 265-275, February.
    23. Mastromarco, Camilla & Ghosh, Sucharita, 2009. "Foreign Capital, Human Capital, and Efficiency: A Stochastic Frontier Analysis for Developing Countries," World Development, Elsevier, vol. 37(2), pages 489-502, February.
    24. Ying, Zhang & Gao, Minxue & Liu, Junchang & Wen, Yali & Song, Weimin, 2011. "Green accounting for forest and green policies in China -- A pilot national assessment," Forest Policy and Economics, Elsevier, vol. 13(7), pages 513-519, September.
    25. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    26. Helvoigt, Ted L. & Adams, Darius M., 2009. "A stochastic frontier analysis of technical progress, efficiency change and productivity growth in the Pacific Northwest sawmill industry," Forest Policy and Economics, Elsevier, vol. 11(4), pages 280-287, July.
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