{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T08:06:56Z","timestamp":1773821216253,"version":"3.50.1"},"reference-count":73,"publisher":"Emerald","issue":"11","license":[{"start":{"date-parts":[[2020,1,2]],"date-time":"2020-01-02T00:00:00Z","timestamp":1577923200000},"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":[[2020,1,2]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this paper is to analyse the impact of high-speed railway (HSR) on industrial pollution emissions using the data for 285 prefecture-level cities in China from 2004 to 2016.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The research method used in this paper is the multi-period difference-in-differences (DID) model, which is an effective policy effect assessment method. To further address the issue of endogeneity, the DID integrated with the propensity score matching (PSM-DID) approach is employed to eliminate the potential self-selection bias.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The results show that the HSR has significantly reduced industrial pollution emissions, which is validated by several robustness tests. Compared with peripheral cities, HSR exerts a greater impact on industrial pollution emissions in central cities. In addition, the mechanism test reveals that the optimised allocation of inter-city industries is an important channel for HSR to mitigate industrial pollution emissions, and this is closely related to the location of HSR stations.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>Previous studies have paid more attention to evaluating the economic effects of HSR, however, most of these studies overlook its environmental effects. Consequently, the impact of HSR on industrial pollution emissions is led by using multi-period DID models in this paper, in which the environmental effects are measured. The results of this paper can provide a reference for the pollution reduction policies and also the coordinated development of economic growth and environmental quality.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/k-07-2019-0499","type":"journal-article","created":{"date-parts":[[2020,1,24]],"date-time":"2020-01-24T10:27:52Z","timestamp":1579861672000},"page":"2713-2735","source":"Crossref","is-referenced-by-count":25,"title":["Impacts of high-speed railway on the industrial pollution emissions in China"],"prefix":"10.1108","volume":"49","author":[{"given":"Xiaomin","family":"Fan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingzhi","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongqing","family":"Nan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baoli","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiya","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"issue":"2","key":"key2020102110524559300_ref001","doi-asserted-by":"crossref","first-page":"781","DOI":"10.3982\/ECTA11293","article-title":"Matching on the estimated propensity score","volume":"84","year":"2016","journal-title":"Econometrica"},{"issue":"2","key":"key2020102110524559300_ref002","first-page":"355","article-title":"From periphery to core: measuring agglomeration effects using high-speed rail","volume":"18","year":"2017","journal-title":"Journal of Economic Geography"},{"key":"key2020102110524559300_ref003","first-page":"174","article-title":"High speed rail and tourism: empirical evidence from Spain","volume":"85","year":"2016","journal-title":"Transportation Research Part A: Policy and Practice"},{"issue":"3","key":"key2020102110524559300_ref004","first-page":"323","article-title":"Heterogeneous firms, agglomeration and economic geography: spatial selection and sorting","volume":"6","year":"2005","journal-title":"Journal of Economic Geography"},{"issue":"1","key":"key2020102110524559300_ref005","first-page":"1","article-title":"On the road: access to transportation infrastructure and economic growth in China","volume":"11","year":"2012","journal-title":"Social Science Electronic"},{"issue":"3","key":"key2020102110524559300_ref006","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1162\/REST_a_00660","article-title":"Roads, railroads, and decentralization of Chinese cities","volume":"99","year":"2017","journal-title":"The Review of Economics and Statistics"},{"issue":"5","key":"key2020102110524559300_ref007","doi-asserted-by":"crossref","first-page":"1637","DOI":"10.1111\/j.1540-6261.2010.01589.x","article-title":"Big bad banks? 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