School of Economics and Finance, Xi'an Jiaotong University, Xi'an, 710049, China.
China Center for Energy Economics Research, School of Economics, Xiamen University, Xiamen, 361005, China.
Environ Sci Pollut Res Int. 2022 Feb;29(9):12853-12863. doi: 10.1007/s11356-020-12240-7. Epub 2021 Feb 10.
Government information transparency is taken as a prominent instrument of environmental regulation in Chinese cities, especially in the current digital age. However, polluters' strategic emission and production behaviors across cities, confronted with changing information disclosure level, might make the policy's effect unexpected in practice. While many existing studies have explored the impact of institutions on pollution, government information disclosure only attracted little attention from empirical studies. Using the method framework of the spatial Durbin model, this study empirically investigates the impact of government information transparency on sulfur dioxide emissions with samples of 264 Chinese cities from 2005 to 2012. We find that a city's government information transparency negatively relates to its local emission level of sulfur dioxide. Moreover, a city's sulfur dioxide emissions positively relate to its neighboring cities' government information transparency levels. The further calculations of marginal effects show that the average of such a direct and local impact of government information transparency outweighs the average indirect effect a city receives from its neighboring cities, making government information transparency benefits to pollution abatement in total.
政府信息透明度被视为中国城市环境监管的重要手段,尤其是在当前的数字时代。然而,面对不断变化的信息披露水平,跨城市的污染者可能会采取战略性的排放和生产行为,这使得该政策在实践中的效果难以预料。虽然许多现有研究已经探讨了制度对污染的影响,但政府信息披露仅引起了实证研究的少量关注。本研究运用空间杜宾模型方法框架,以 2005 年至 2012 年的 264 个中国城市为样本,实证考察了政府信息透明度对二氧化硫排放的影响。研究发现,一个城市的政府信息透明度与其当地的二氧化硫排放水平呈负相关。此外,一个城市的二氧化硫排放与其相邻城市的政府信息透明度水平呈正相关。边际效应的进一步计算表明,政府信息透明度的这种直接和本地影响的平均值大于一个城市从其相邻城市获得的平均间接影响,从而使政府信息透明度总体上有利于减少污染。