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| 基于网络DEA的中国火电行业循环经济效率及影响因素研究 | |
| 引用本文： | 邵留国,何莹莹,张仕璟,丰超.基于网络DEA的中国火电行业循环经济效率及影响因素研究[J].资源科学,2016,38(10):1975-1987. |
| 作者姓名： | 邵留国 何莹莹 张仕璟 丰超 |
| 作者单位： | 1. 中南大学商学院,长沙 410083; 2. 中国社会科学院工业经济研究所,北京100836; 3. 中南大学金属资源战略研究院,长沙 410083; 4. 中南大学人事处,长沙 410083 |
| 基金项目： | 国家社科基金重大项目（13&ZD169/14ZDB136/15ZDA051）; 湖南省社科基金重点项目（14ZDB35）; 湖南省教育厅开放基金（15K134） |
| 摘 要： | 作为中国主要污染源之一,火电行业实施循环经济既是节能减排的需要,也是经济提质增效的需要。本文运用基于方向距离函数的网络DEA模型,测度了2007-2013年中国火电行业循环经济效率,并进行了收敛性检验和影响因素分析。研究发现：①中国火电行业循环经济效率总体上处于较低水平,其中社会和生态子系统效率低下,经济子系统较好;东部和中部效率变动较小,西部较大;②整体效率和经济子系统效率先收敛后发散,社会子系统效率总体呈现稳定状态,生态子系统效率总体呈现收敛趋势;③要素禀赋结构、能源价格对循环经济整体效率有显著正向影响,科研投入、资源循环利用率、环境规制强度对循环经济整体效率有显著负向影响,同时通过引入虚拟变量验证了区位分布对循环经济效率也存在重要影响。 |
| 关 键 词： | 方向距离函数 非合意产出 网络DEA 循环经济 中国火电行业 |
| 收稿时间： | 2016-01-22 |
| 修稿时间： | 2016-08-30 |
factors of China’s thermal power industry based on network DEA model |
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| SHAO Liuguo,HE Yingying,ZHANG Shijing,FENG Chao.factors of China’s thermal power industry based on network DEA model[J].Resources Science,2016,38(10):1975-1987. | |
| Authors: | SHAO Liuguo HE Yingying ZHANG Shijing FENG Chao |
| Institution: | 1. Business College,Central South University,Changsha 410083,China; 2. Institute of Industrial Economics of Chinese Academy of Social Sciences,Beijing 100836,China; 3. Metal Resources Strategic Research Institute,Central South University,Changsha 410083,China; 4. Human Resources Department,Central South University,Changsha 410083,China |
| Abstract: | Thermal power plants are one of the main sources of pollution in China. Implementation of the circulation economy in thermal power plants will result in energy savings,emission reductions,and environmental protection. Here,we utilize network DEA modeling based on directional distance function,from economic,social and ecological dimensions to measure the efficiency of China's thermal power industry circulation economy from 2007 to 2013. Convergence tests and influencing factor analysis were also conducted. We found that the value of China’s thermal power industry circulation economy efficiency is generally low. Among which,the efficiencies of the social subsystem and ecological subsystem are relatively low,while the efficiency of the economic subsystem is better. Moreover,such value fluctuation presents the lowest in the eastern region,followed by central and western regions. Economic subsystem efficiency and overall efficiency are convergent and then divergent,and social subsystem efficiency is steady and ecological subsystem efficiency is convergent. The factor endowment structure and energy price are correlated with circular economic efficiency of the thermal power industry. Meanwhile,research and development investment,resource recycling utilization and environmental regulation intensity have negative effects on circulation economy efficiency. By introducing virtual variables,location choice verifies its important influence on the efficiency of the thermal power industry circulation economy. |
| Keywords: | China's thermal power industry circular economy directional distance function network DEA undesirable output |
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