{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T12:25:52Z","timestamp":1781007952128,"version":"3.54.1"},"reference-count":24,"publisher":"Emerald","issue":"4\/5","license":[{"start":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T00:00:00Z","timestamp":1626393600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JEIM"],"published-print":{"date-parts":[[2022,6,20]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to explore the sustainable development strategy of green finance under the background of big data.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>From the perspective of big data, this paper uses quantitative and qualitative analysis methods to judge the correlation among green finance, environmental supervision and financial supervision. Green finance gives the entropy method to calculate the score of green finance and environmental regulation, and establishes the spatial lag model under the double fixed effects of time and space.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>Spatial autocorrelation test shows that economic spatial weight matrix has obvious spatial effect on green innovation. Through the model selection test, the space lag model with fixed time and space is selected. The regression coefficients of green finance, environmental regulation and their interaction are 0.1598, 0.0541 and 0.1763, respectively, which significantly promote green innovation. The regression coefficients of openness, higher education level and per capita GDP are 0.0361, 0.0819 and 0.0686, respectively, which can significantly promote green innovation.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>In view of the current situation of large-scale application of big data technology in green innovation of domestic energy-saving and environmental protection enterprises, this paper establishes a fixed time lag evaluation model of green innovation. <jats:italic>M<\/jats:italic>-test statistics show that the original hypothesis with no obvious spatial effect is rejected.<\/jats:p><\/jats:sec>","DOI":"10.1108\/jeim-01-2021-0039","type":"journal-article","created":{"date-parts":[[2021,7,14]],"date-time":"2021-07-14T01:12:42Z","timestamp":1626225162000},"page":"1305-1322","source":"Crossref","is-referenced-by-count":50,"title":["Research on green innovation countermeasures of supporting the circular economy to green finance under big data"],"prefix":"10.1108","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7239-8693","authenticated-orcid":false,"given":"Zhao","family":"Yaoteng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Xin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2021,7,16]]},"reference":[{"issue":"1","key":"key2022061704463668300_ref001","doi-asserted-by":"crossref","first-page":"4","DOI":"10.3390\/ijfs9010004","article-title":"The impact of environmental sustainability disclosure on stock return of Saudi listed firms: the moderating role of financial constraints","volume":"9","year":"2021","journal-title":"International Journal of Financial Studies"},{"key":"key2022061704463668300_ref002","article-title":"The impact of imitation on Chinese social commerce buyers' purchase behavior: the moderating role of uncertainty","volume":"56","year":"2021","journal-title":"International Journal of Information Management"},{"key":"key2022061704463668300_ref003","volume-title":"Global Environmental Change and Innovation in International Law","year":"2018"},{"key":"key2022061704463668300_ref004","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1080\/13683500.2020.1734546","article-title":"Green procurement and financial performance in the tourism industry: the moderating role of tourists' green purchasing behaviour","volume":"24","year":"2021","journal-title":"Current Issues in Tourism"},{"key":"key2022061704463668300_ref005","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.eist.2019.11.007","article-title":"Closing the green finance gap \u2013 a systems perspective","volume":"34","year":"2020","journal-title":"Environmental Innovation and Societal Transitions"},{"key":"key2022061704463668300_ref006","doi-asserted-by":"crossref","first-page":"302","DOI":"10.3934\/GF.2020017","article-title":"The impact of mandatory CSR disclosure on green innovation: evidence from China","volume":"2","year":"2020","journal-title":"Green Finance"},{"key":"key2022061704463668300_ref007","doi-asserted-by":"crossref","unstructured":"Kim, Y. and Park, J. 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