Literature DB >> 28157613

Study on eco-efficiency of industrial parks in China based on data envelopment analysis.

Yupeng Fan1, Bingyang Bai1, Qi Qiao2, Peng Kang3, Yue Zhang1, Jing Guo1.   

Abstract

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.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  China; Data envelopment analysis; Eco-efficiency; Eco-industrial development; Industrial parks; Policy making

Mesh:

Year:  2017        PMID: 28157613     DOI: 10.1016/j.jenvman.2017.01.048

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  4 in total

1.  Evaluating provincial eco-efficiency in China: an improved network data envelopment analysis model with undesirable output.

Authors:  Shiwei Yu; Jie Liu; Longxi Li
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-26       Impact factor: 5.190

2.  Spatial and Temporal Evolution and Driving Factors of Urban Ecological Well-Being Performance in China.

Authors:  Jing Bian; Feng Lan; Yulin Zhou; Zhenzhen Peng; Mingfang Dong
Journal:  Int J Environ Res Public Health       Date:  2022-08-13       Impact factor: 4.614

3.  Mining Eco-Efficiency Measurement and Driving Factors Identification Based on Meta-US-SBM in Guangxi Province, China.

Authors:  Yonglin Li; Zhili Zuo; Deyi Xu; Yi Wei
Journal:  Int J Environ Res Public Health       Date:  2021-05-18       Impact factor: 3.390

4.  Impacts of Dynamic Agglomeration Externalities on Eco-Efficiency: Empirical Evidence from China.

Authors:  Yantuan Yu; Yun Zhang; Xiao Miao
Journal:  Int J Environ Res Public Health       Date:  2018-10-19       Impact factor: 3.390

  4 in total

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