Environmental Vertical Management Reform and Data Manipulation

Based on monthly panel data from 2014 to 2020 and employing the staggered difference-in-differences (staggered DID) method, we examine the impact of environmental vertical management reform on data manipulation in the public sector. We reveal that environmental vertical management reform significantly reduces data manipulation in the public sector. Moderating effect analysis shows that economic growth targets weaken the inhibitory impact of this reform. Conversely, public environmental concern could enhance the inhibitory impact of this reform on data manipulation. Mechanism analysis reveals that environmental vertical management reform works through strengthening grassroots environmental law enforcement. The increased independence of law-enforcing departments has reduced the tendency of local governments to engage in data manipulation.本研究基于2014至2020年的月度面板数据，采用渐进双重差分法（staggered difference-in-differences, staggered DID），实证考察环境垂直管理改革对公共部门数据操纵行为的影响。研究发现，环境垂直管理改革可显著抑制公共部门的数据操纵行为。调节效应分析显示，经济增长目标会削弱该改革的抑制作用；反之，公众环境关注度则能够强化该改革对数据操纵的抑制效果。机制检验表明，环境垂直管理改革通过强化基层环境执法发挥作用，执法部门独立性的提升降低了地方政府实施数据操纵的动机。

搜集汇总

背景与挑战

背景概述

该数据集基于2014年至2020年的月度面板数据，采用交错差分法（staggered DID）研究环境垂直管理改革对公共部门数据操纵的影响。研究发现，改革显著减少了数据操纵行为，其效果受经济增长目标（削弱作用）和公众环境关注（增强作用）的调节，机制在于通过加强基层环境执法和提升执法部门独立性来实现抑制。