2019
DOI: 10.1016/j.jclepro.2019.118135
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Can high-speed rail reduce environmental pollution? Evidence from China

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Cited by 155 publications
(57 citation statements)
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“…The DID research design in Equation (1) compares the pre-and post-policy change periods (i.e., the natural experiment) on treatment (those affected by the Coordination) and control (those not affected by the Coordination) firms. Several environmental studies use the same research design (Hsueh [31] and Yang et al [32]). For instance, using a DID research design, Yang et al [32] compare air pollution in cities before and after high-speed rail (HSR) and conclude that HSR reduces air pollution.…”
Section: Baseline Resultsmentioning
confidence: 99%
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“…The DID research design in Equation (1) compares the pre-and post-policy change periods (i.e., the natural experiment) on treatment (those affected by the Coordination) and control (those not affected by the Coordination) firms. Several environmental studies use the same research design (Hsueh [31] and Yang et al [32]). For instance, using a DID research design, Yang et al [32] compare air pollution in cities before and after high-speed rail (HSR) and conclude that HSR reduces air pollution.…”
Section: Baseline Resultsmentioning
confidence: 99%
“…Several environmental studies use the same research design (Hsueh [31] and Yang et al [32]). For instance, using a DID research design, Yang et al [32] compare air pollution in cities before and after high-speed rail (HSR) and conclude that HSR reduces air pollution. In the authors' setting, the construction of HSR represents a policy change, while the treatment and control cities are those with pre-and post-HSR periods.…”
Section: Baseline Resultsmentioning
confidence: 99%
“…Technological development situation (Lnsciemplo). Technological development is an important indicator for reflecting environmental pollution, with a better technological development corresponding to greater resource utilization efficiency and lower pollution discharge [13]. This paper used the proportion of employees in the scientific and technological industries among the total population to represent the technological development level.…”
Section: Model and Variablesmentioning
confidence: 99%
“…Due to the large differences in population size and administrative area among cities, the population numbers in each city have no comparable value. This paper used the population density (i.e., the number of people per unit area in an administrative region) to represent the impact of population on environmental pollution [13]. Table 2 shows the descriptive analysis of the treatment group (HSR = 1) and control group (HSR = 0) in our final sample.…”
Section: Model and Variablesmentioning
confidence: 99%
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