期刊论文

Hu, Tianyang

英文

China Economic Review

1043-951X

2019

55

111-123

10.1016/j.chieco.2019.03.010

In the benchmark regression analysis, the outcome variables divided into two types: column (1)–(3) of Table 4 represent pollution emission of SO2, dust and industrial waste water, and column (4)–(6) indicate environment technology efficiency (ETE) of the three pollutants, column (7) reveals the average result of ETE combines three pollutants together. The indicator variable l(piti) represents the PTIT information disclosure impact on environment pollution and environment technology efficiency

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The industrial pollution caused by China's unprecedent economic expansion seriously imperils public health, giving rise to public's high demand for better environmental quality. The paper employs the difference-in-differences (DID) methodology to conduct a quasi-natural experiment based on the Pollution Information Transparency Index (PITI) to evaluate the public participation impact on pollution emissions reduction and environment technology efficiency. The results show that PITI information disclosure has a positive influence on pollution emi...