2021
DOI: 10.1016/j.strueco.2021.04.006
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Does environmental pollution promote China's crime rate? A new perspective through government official corruption

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Cited by 48 publications
(20 citation statements)
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“…In addition, the dependent variable in the current period may be confounded by the dependent variable in the previous period. Referring to Wu et al ( 2021 ), this paper opts to introduce the lag term of the economic low-carbon transition and conducts the analysis using SYS-GMM. The specific model settings are as follows: …”
Section: Methodsmentioning
confidence: 99%
“…In addition, the dependent variable in the current period may be confounded by the dependent variable in the previous period. Referring to Wu et al ( 2021 ), this paper opts to introduce the lag term of the economic low-carbon transition and conducts the analysis using SYS-GMM. The specific model settings are as follows: …”
Section: Methodsmentioning
confidence: 99%
“…For instance, environmental pollution will increase residents' health costs, and the probability of illness will increase for low‐income groups (Schoolman & Ma, 2012). It can also lead to an increase in crime rates (Wu et al, 2021), as environmental pollution can cause negative psychological symptoms such as anxiety, anger and depression (Zeidner & Shechter, 1988). Unsustainable corporate environmental policies can damage relationships with stakeholders and hinder the development or maintenance of long‐term relationships with communities (Aragón‐Correa & Rubio‐Lopez, 2007; Child & Tsai, 2005; Delmas & Toffel, 2004; Hyatt & Berente, 2017).…”
Section: Theoretical Background and Hypothesis Developmentmentioning
confidence: 99%
“…It is particularly important to take into account spatial dependencies, and ignoring them can produce biases, inaccuracies, and inconsistencies in the results [28,29]. Third, the previous studies are mostly static analyses, and the endogeneity problem caused by reverse causality could not be effectively addressed [30]. Therefore, this paper applies PVAR method to analyze the dynamic effects of financial development and trade openness on electricity consumption.…”
Section: Literature Reviewmentioning
confidence: 99%