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An Evaluation of the Impact of Ecological Compensation on the Cross-Section Efficiency Using SFA and DEA: A Case Study of Xin'an River Basin
Stockholm University, Faculty of Social Sciences, Stockholm Business School. University of Chinese Academy of Sciences, China.
Number of Authors: 22020 (English)In: Sustainability, E-ISSN 2071-1050, Vol. 12, no 19, article id 7966Article in journal (Refereed) Published
Abstract [en]

This paper aims to address the issue of evaluating watershed environmental efficiency with ecological compensation. One of the main objectives is the dynamic assessment of cross-section efficiency. The first transboundary watershed ecological compensation pilot of Xin'an river basin serves as the case study, and stochastic frontier analysis (SFA) is adopted as the main evaluation method. Furthermore, the efficiency is estimated by the data envelopment analysis (DEA) approach. The results validate that SFA can be used as an effective method on such issues by comparing it with the benchmark and the result of DEA, which proves the feasibility of our research methodology. The other purpose is to investigate the factors affecting environmental efficiency. This paper explores the relationship between environmental efficiency with 21 pollutant emission factors as well as the correlation between environmental efficiency and five macro factors of economic development, industrial structure, population density, degree of environmental protection, and natural environment. Finally, suggestions are provided for future improvement. This paper therefore presents a comprehensive reference analysis that contributes to facilitating balanced regional development and environmental conservation in the future.

Place, publisher, year, edition, pages
2020. Vol. 12, no 19, article id 7966
Keywords [en]
watershed ecological compensation, environmental efficiency, Xin’an river basin, stochastic frontier analysis, data envelopment analysis
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-187879DOI: 10.3390/su12197966ISI: 000586462300001OAI: oai:DiVA.org:su-187879DiVA, id: diva2:1514576
Available from: 2021-01-06 Created: 2021-01-06 Last updated: 2025-02-07Bibliographically approved

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Wu, Desheng

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