TY - JOUR
T1 - Environmental centralization and firm green transition
T2 - Evidence from County-to-District reclassification in China
AU - Yu, Xuewei
AU - Zhou, Junting
AU - Ni, Kejin
AU - Wang, Xiaobing
N1 - Yu, Xuewei., Junting Zhou, Kejin Ni, and Xiaobing Wang, 2025, “Environmental centralization and firm green transition: Evidence from County-to-District reclassification in China” Energy Economics, Volume 144, 108365. https://doi.org/10.1016/j.eneco.2025.108365
PY - 2025/3/12
Y1 - 2025/3/12
N2 - Within China's decentralized governance framework, the reform of converting counties into municipal districts (County-to-District Reclassification, CDR) facilitates the upward shift of environmental responsibilities, offering an opportunity to explore how environmental centralization drives firms' green transformation. Using this exogenous quasi-natural experiment, we apply the Dynamic Slack-Based Measure (DSBM) model to estimate green total factor productivity (GTFP) as a proxy for green transformation. Our findings show that CDR significantly enhances firm green transformation, a result that remains robust across sensitivity tests. Mechanism analysis reveals that CDR improves GTFP through enhanced environmental regulation and optimized resource allocation. The positive effects are more pronounced for district- and county-level enterprises, capital-intensive firms, and industries with high external financing dependency. Firms in non-two control zones, non-capital cities, and regions with strong policy continuity experience more significant green productivity gains. Additionally, regions with stronger city dominance over counties exhibit a greater green transformation effect than those with stronger county autonomy. Further analysis reveals that firms at the borders of reformed counties experience more substantial positive impacts, supporting the internalization of environmental externalities through centralization.
AB - Within China's decentralized governance framework, the reform of converting counties into municipal districts (County-to-District Reclassification, CDR) facilitates the upward shift of environmental responsibilities, offering an opportunity to explore how environmental centralization drives firms' green transformation. Using this exogenous quasi-natural experiment, we apply the Dynamic Slack-Based Measure (DSBM) model to estimate green total factor productivity (GTFP) as a proxy for green transformation. Our findings show that CDR significantly enhances firm green transformation, a result that remains robust across sensitivity tests. Mechanism analysis reveals that CDR improves GTFP through enhanced environmental regulation and optimized resource allocation. The positive effects are more pronounced for district- and county-level enterprises, capital-intensive firms, and industries with high external financing dependency. Firms in non-two control zones, non-capital cities, and regions with strong policy continuity experience more significant green productivity gains. Additionally, regions with stronger city dominance over counties exhibit a greater green transformation effect than those with stronger county autonomy. Further analysis reveals that firms at the borders of reformed counties experience more substantial positive impacts, supporting the internalization of environmental externalities through centralization.
KW - Environmental centralization
KW - County-To-District reclassification
KW - Firm green transition
KW - Difference-in-difference model
U2 - 10.1016/j.eneco.2025.108365
DO - 10.1016/j.eneco.2025.108365
M3 - Article
SN - 0140-9883
VL - 144
JO - Energy Economics
JF - Energy Economics
IS - April
M1 - 108365
ER -