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Data · dataset · 2025

Does Public Data Openness Reduce Boundary Pollution? Evidence from Interprovincial Neighboring Cities in China

Listed in Teesside University Research Data Repository

Description of the Five Datasets city_border.dta This panel dataset contains data on interprovincial neighboring cities in China from 2008 to 2021.

Description

It includes environmental indicators, socioeconomic variables, and public data openness measures used for the main empirical analysis of boundary pollution. city_all.dta This dataset covers all prefecture-level cities in China during the same period. It serves as a broader sample for robustness checks and additional analyses beyond the border cities. firm_border.dta Panel data of industrial firms located in the boundary regions, including firm-level performance, pollution emissions, and innovation indicators.

It supports the study of firm behavior in response to public data openness and environmental policies. do.do A Stata DO file containing all code for data cleaning, variable construction, and econometric modeling. Running this script reproduces the empirical results presented in the paper. Replication_Package_Readme.pdf A documentation file explaining the contents of the replication package, data sources, processing steps, and instructions for reproducing the study results.

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