{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T11:09:55Z","timestamp":1767006595574,"version":"3.41.2"},"reference-count":88,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2023,3,24]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>China's increasing income inequality might cause a series of problems, such as the slowdown of economic growth, social and economic tension, the decline of the ecological environment quality and the threat to citizens' health. Consequently, income inequality will inevitably affect the ecological well-being performance (EWP) level of China's provinces through the above aspects. Analyzing the impact of income inequality on EWP and its spatial spillover effects are conducive to improving the level of EWP in China. Therefore, the research purpose of this paper is to use China's provincial data from 2001 to 2017 to analyze the impact of income inequality on EWP and the spatial spillover effect based on the evaluation of the EWP value of each province.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>At first, this study utilizes the super efficiency slacks-based measure model (Super-SBM model) to calculate the EWP values of 30 provinces in China, which can evaluate and rank the effective decision units in the SBM model and make up for the defect that the effective decision units cannot be distinguished. Then this study applies the spatial Durbin model and Tobit regression model (SDM-Tobit model) to explore the impact of income inequality and other influencing factors on EWP and the spatial spillover effects in adjacent areas.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>Firstly, the average EWP in China fluctuated slightly and showed a downward trend from 2001 to 2017. In addition, the EWP values of the provinces in the western region are usually weaker than those in the eastern and central regions. Moreover, income inequality is negatively correlated with EWP, and the EWP has a spatial spillover effect, which means the EWP level in a region is affected by EWP values in the adjacent regions. Furthermore, the industrial structure and urbanization level are both negatively related to EWP, while technology level, investment openness, trade openness and education level are positively related to EWP.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>Compared with the existing research, the possible contribution of this research is that it takes income inequality as one of the important influencing factors of EWP and adopts the SDM-Tobit model to analyze the impact mechanism of income inequality on EWP from the perspective of time and space, providing new ideas for improving the EWP of various provinces in China.<\/jats:p><\/jats:sec>","DOI":"10.1108\/k-06-2021-0452","type":"journal-article","created":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T01:16:01Z","timestamp":1639358161000},"page":"1269-1293","source":"Crossref","is-referenced-by-count":15,"title":["Ecological well-being performance and influencing factors in China: from the perspective of income inequality"],"prefix":"10.1108","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3674-1794","authenticated-orcid":false,"given":"Lijun","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongqing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2021,12,14]]},"reference":[{"volume-title":"Spatial Econometrics: Methods and Models","year":"1988","key":"key2023032417265826700_ref001"},{"issue":"1","key":"key2023032417265826700_ref002","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/0166-0462(95)02111-6","article-title":"Simple diagnostic tests for spatial dependence","volume":"26","year":"1996","journal-title":"Regional Science and Urban Economics"},{"issue":"4","key":"key2023032417265826700_ref003","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1257\/aer.91.4.877","article-title":"Is free trade good for the environment?","volume":"91","year":"2001","journal-title":"The American Economic Review"},{"issue":"1\/2","key":"key2023032417265826700_ref004","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1108\/03068290410515501","article-title":"Income inequality and health: a multi\u2010country analysis","volume":"31","year":"2004","journal-title":"International Journal of Social Economics"},{"key":"key2023032417265826700_ref005","first-page":"120","article-title":"Evaluation of urban ecological well-being performance in China: a case study of 30 provincial capital cities","volume":"254","year":"2020","journal-title":"Journal of Cleaner Production"},{"key":"key2023032417265826700_ref006","first-page":"1","article-title":"Have cities effectively improved ecological well-being performance? 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