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Environmental efficiency and policy change in China: A new meta-frontier non-radial angle efficiency evaluation approach

Environmental efficiency and policy change in China: A new meta-frontier non-radial angle efficiency evaluation approach

Song, Malin, Wang, Shuhong, Lei, Liang and Zhou, Li ORCID: 0000-0001-7132-5935 (2018) Environmental efficiency and policy change in China: A new meta-frontier non-radial angle efficiency evaluation approach. Process Safety and Environmental Protection, 121. pp. 281-289. ISSN 0957-5820 (doi:https://doi.org/10.1016/j.psep.2018.10.023)

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Abstract

This study revised the non-radial angle model and set up the meta-frontier non-radial angle efficiency (MNAE) model. Moreover, an angle efficiency index was established in the MNAE model to reflect changes in the production decisions of decision-making units as a result of the external environment. The study conducted empirical analysis on data for 30 provinces in China from 2004 to 2015. The results showed that the eastern area of China was sensitive to fluctuations in the world’s economy and was able to quickly adjust production decision making; the western area lagged relatively behind in making changes, and the central area was not affected. Effects of international trade and foreign direct investment on the Shandong, Jiangsu, Fujian, Liaoning, Hunan, Henan, Jiangxi, and Sichuan provinces were significant and caused notable policy changes, which led to short-term resource waste and policy faults. This study also provides policy advice based on the results.

Item Type: Article
Uncontrolled Keywords: Non-radial; Angle efficiency; DEA; Environmental efficiency; Meta-frontier
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Connected Cities Research Group
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Faculty of Business > Department of Systems Management & Strategy
Last Modified: 27 Nov 2018 17:13
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/22264

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