2020
DOI: 10.3390/ijerph17134638
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Can the New Subway Line Openings Mitigate PM10 Concentration? Evidence from Chinese Cities Based on the PSM-DID Method

Abstract: The large-scale construction of subway systems, which is viewed as one of the potential measures to mitigate traffic congestion and its resulting air pollution and health impact, is taking place in major cities throughout China. However, the literature on the impact of the new subway line openings on particulate matter with a diameter less than 10 µm (PM10) at the city level is scarce. Employing the Propensity Score Matching–Difference-in-differences method, this paper examines the effect of the new subway lin… Show more

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Cited by 12 publications
(5 citation statements)
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References 55 publications
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“…Third, the PSM-DID regression approach addressed both the sample selectivity bias and individual heterogeneity and effectively estimated the net effect of the hospital group. 41 …”
Section: Discussionmentioning
confidence: 99%
“…Third, the PSM-DID regression approach addressed both the sample selectivity bias and individual heterogeneity and effectively estimated the net effect of the hospital group. 41 …”
Section: Discussionmentioning
confidence: 99%
“…The difference-in-difference method is becoming more and more popular since it is a potent instrument in the policy effect evaluation method [8][9]. In summary, there are various reasons: (1) It can substantially reduce the hassle of endogenous issues: general policy.…”
Section: Methodsmentioning
confidence: 99%
“…The difference-in-differences (DID, hereafter) method is widely acknowledged as the best method to evaluate the causal effects of specific external shocks, such as policy implementation [ 63 , 64 , 65 , 66 ]. Compared to ordinary regression (e.g., ordinary least square method), the DID method could divide the whole sample into the treatment group and the control group, and clearly identify the difference between the treatment group and the control group before and after the policy [ 67 ]. Therefore, the basic regression model in our study is constructed as follows [ 68 , 69 , 70 ]: where refers to the financing constraints of firm i at time t. We use the Size-Age index (hereinafter referred to as SA Index) to measure based on the current previous literature [ 71 , 72 ], and the calculation formula of the SA index is (−0.737 × Size) + (0.043 × Size 2 ) − (0.040 × Age), where Size is the log of total assets and Age is the number of years the enterprise has been listed.…”
Section: Methodsmentioning
confidence: 99%