{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:47:39Z","timestamp":1777704459895,"version":"3.51.4"},"reference-count":25,"publisher":"SAGE Publications","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2020,11,19]]},"abstract":"<jats:p>Air pollution management is becoming a major topic of political concern, and many studies have devoted to the efficiency measurement of air pollution management. However, several drawbacks must be overcome for better applying efficiency measurement to improve air pollution management, including neglect of the importance of different indicators, non-integrity of indicator information for efficiency measurement, and lack of analyzing regional factors in the efficiency of air pollution management. Accordingly, by utilizing the evidential reasoning (ER) approach with entropy weighting method to propose an ER-based indicator integration and introducing the slacks-based measure (SBM) model with consideration of undesirable outputs and the regression model to propose an SBM-based efficiency analysis, a new air pollution management method, called integrated ER-SBM method, is developed in the present study. In the case study of Chinese 29 provinces, the application procedure and results are provided to illustrate how to apply the integrated ER-SBM method to integrate various air pollution indicators with different importance and further analyze the influence of regional factors, such as technological innovation, regional population density, import-export values, number of industries, and energy resources, on the efficiency of air pollution management. In addition, the policy recommendations targeting the results are concluded as well.<\/jats:p>","DOI":"10.3233\/jifs-191816","type":"journal-article","created":{"date-parts":[[2020,10,9]],"date-time":"2020-10-09T10:21:30Z","timestamp":1602238890000},"page":"6833-6848","source":"Crossref","is-referenced-by-count":0,"title":["A new air pollution management method based on the integration of evidential reasoning and slacks-based measure"],"prefix":"10.1177","volume":"39","author":[{"given":"Fei-Fei","family":"Ye","sequence":"first","affiliation":[{"name":"Decision Sciences Institute, Fuzhou University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suhui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Business Administration, Zhejiang University of Finance & Economics, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long-Hao","family":"Yang","sequence":"additional","affiliation":[{"name":"Decision Sciences Institute, Fuzhou University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying-Ming","family":"Wang","sequence":"additional","affiliation":[{"name":"Decision Sciences Institute, Fuzhou University, Fuzhou, China"},{"name":"Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-191816_ref1","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.jclepro.2017.10.333","article-title":"What drives the carbon emission in the Chinese cities?da case of pilot low carbon city of Beijing","volume":"174","author":"Shen","year":"2018","journal-title":"Journal of Cleaner Production"},{"key":"10.3233\/JIFS-191816_ref2","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1016\/j.jclepro.2017.12.097","article-title":"Identifying the key impact factors of carbon emission in China: results from a largely expanded pool of potential impact factors","volume":"175","author":"Shuai","year":"2018","journal-title":"Journal of Cleaner Production"},{"key":"10.3233\/JIFS-191816_ref3","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.resconrec.2016.08.015","article-title":"Better resource management: An improved resource and environmental efficiency evaluation approach that considers undesirable outputs","volume":"128","author":"Song","year":"2018","journal-title":"Resources, Conservation and Recycling"},{"key":"10.3233\/JIFS-191816_ref4","doi-asserted-by":"crossref","first-page":"1423","DOI":"10.1016\/j.jclepro.2017.10.209","article-title":"Effect of \u2019s Beijing Olympic Games on environmental efficiency of 268 China\u2019s cities","volume":"172","author":"Long","year":"2018","journal-title":"Journal of Cleaner Production"},{"key":"10.3233\/JIFS-191816_ref5","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1021\/acs.est.5b03709","article-title":"Ambient air pollution exposure estimation for the global burden of disease","volume":"50","author":"Brauer","year":"2015","journal-title":"Environmental Science & Technology"},{"key":"10.3233\/JIFS-191816_ref6","doi-asserted-by":"crossref","first-page":"1121","DOI":"10.1162\/00335530360698513","article-title":"The impact of air pollution on infant mortality: evidence from geographic variation in pollution shocks induced by a recession","volume":"118","author":"Chay","year":"2003","journal-title":"Quarterly Journal of Economics"},{"key":"10.3233\/JIFS-191816_ref7","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1177\/0958305X18813690","article-title":"The effects of two types of environmental regulations on economic efficiency: an analysis of Chinese industries","volume":"30","author":"Ye","year":"2018","journal-title":"Energy & Environment"},{"key":"10.3233\/JIFS-191816_ref8","doi-asserted-by":"crossref","first-page":"2943","DOI":"10.1016\/j.jclepro.2015.09.064","article-title":"Congestion measurement under different policy objectives: an analysis of Chinese industry","volume":"112","author":"Chen","year":"2016","journal-title":"Journal of Cleaner Production"},{"key":"10.3233\/JIFS-191816_ref9","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1109\/TSMCA.2002.802746","article-title":"On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty","volume":"32","author":"Yang","year":"2002","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics - 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