数据包络分析
生态效率
环境经济学
可持续发展
持续性
业务
中国
人均
资源效率
资源(消歧)
比例(比率)
消费(社会学)
环境资源管理
自然资源经济学
经济
地理
计算机科学
法学
社会学
人口
考古
人口学
政治学
数学优化
生物
地图学
社会科学
数学
计算机网络
生态学
作者
Yupeng Fan,Bingyang Bai,Qi Qiao,Peng Kang,Yue Zhang,Jing Guo
标识
DOI:10.1016/j.jenvman.2017.01.048
摘要
China's industrial parks have been playing a crucial role on driving regional economy development, but also been posing threats to local environment due to intensive resource consumption and waste emission. Chinese government facilitated eco-industrial development of industrial park, aiming to output more with less environmental burden. In our study, the eco-efficiency levels of 40 Chinese industrial parks in 2012 were assessed and ranked by Data Envelopment Analysis (DEA). This paper applied indicators relevant to resource, economy, and environment from industrial parks which can well reflect the characteristics of eco-efficiency conforming to the concept of sustainability. This paper introduced how to adjust less sustainable parks to be more sustainable according to the DEA results. The roles of industrial added value per capita, industrial structure, environmental policy and development scale as influence factors of eco-efficiency were discussed. The results show that large differences exist in the eco-efficiency of different industrial parks. It is shown that 20% of the parks are relatively efficient. 47% of the study parks being inefficient in terms of scale efficiency show decreasing returns to scale. Policy implementations for the management of industrial parks were also discussed based on the results.
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