10.6084/M9.FIGSHARE.17013685
Shuai Shao
Shuai
Shao
Chang Wang
Chang
Wang
Yue Guo
Yue
Guo
Bai-Chen Xie
Bai-Chen
Xie
Zhihua Tian
Zhihua
Tian
Shiyi Chen
Shiyi
Chen
Heterogeneous performances and consequences of China’s industrial environmental governance: clean production vs. end-of-pipe treatment
<p>Using a relational two-stage network data envelopment analysis (DEA) model considering undesirable outputs, this paper evaluates both the process and system performances of industrial environmental governance in China’s 30 provincial-level regions during 1998–2015. Furthermore, this is the first study to apply the spatial econometric models with a geographical distance matrix to investigate the local and spatial spillover effects of environmental regulations on heterogeneous environmental governance performance (i.e. clean production and end-of-pipe treatment performances). The results show that clean production performance is generally higher than end-of-pipe treatment performance, but both performances present a declining trend during the sample period. The estimation results of the spatial econometric models confirm the Porter hypothesis market-based environmental regulations improve local clean production performance. By contrast, we also find that command-and-control environmental regulations improve end-of-pipe treatment performance but curb clean production performance, and exert a “race-to-the-top” effect on local governments.</p>
Genetics
Environmental Sciences not elsewhere classified
Ecology
Sociology
Immunology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Plant Biology
Taylor & Francis
2021
2021-11-15
2023-06-09
Journal contribution
532247 Bytes
10.1080/09640568.2021.1980377
CC BY 4.0