Stochastic frontier analysis of productive efficiency in China's Forestry Industry
Stochastic frontier analysis of productive efficiency in China's Forestry Industry
复制标题
DOI：
10.1016/j.jfe.2017.05.005
复制
发表时间：
2017-08-01
影响因子：
0.9
通讯作者：
Zhu, Zunhong
中科院分区：
文献类型：
--
作者：
Chen, Jiandong;Wu, Yinyin;Zhu, Zunhong
森林资源是发展绿色经济的关键。鉴于中国林业的蓬勃发展和在发展中国家雄心勃勃的植树造林努力，本文首次使用产出距离函数综合考虑中国林业的经济和生态产出，并通过随机前沿模型讨论其生产效率。控制变量和环境变量被纳入到中国林业产业的异质性，这有助于我们得到一个无偏的估计。实证结果表明，除东北地区外，中国各经济区域间效率差异不明显，国有林业结构对中国林业生产效率有显著的负向影响。在此基础上，对内蒙古、黑龙江、河北等林业生产效率低下的省份进行了分析，并对这些省份的生产效率进行了比较。本文的研究结果对我国森林绿色经济的发展具有针对性和现实意义。(C)2017年森林经济学系，瑞典农业科学大学，于默奥。由爱思唯尔有限公司出版。All rights reserved.
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. (C) 2017 Department of Forest Economics, Swedish University of Agricultural Sciences, Umea. Published by Elsevier GmbH. All rights reserved.