Does government environmental attention drive green total factor productivity? Evidence from China

被引:11
|
作者
Du, Jiaxin [1 ]
Zhong, Zhenzhen [2 ]
Shi, Qiaoling [3 ]
Wang, Liukun [4 ]
Liu, Yiru [5 ]
Ying, Na [6 ]
机构
[1] Renmin Univ China, Sch Agr Econ & Rural Dev, Beijing, Peoples R China
[2] Newcastle Univ, Educ Commun & Language Sci, Newcastle, England
[3] Hebei Univ, Sch Econ, Baoding, Hebei, Peoples R China
[4] Hubei Univ Econ, Sch Tourism & Hospitality Management, Wuhan, Hubei, Peoples R China
[5] Beihang Univ, Sch Foreign Languages, Beijing, Peoples R China
[6] Chinese Res Inst Environm Sci, China State Key Lab Environm Criteria & Risk Asses, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Government environmental attention; Green total factor productivity; Resource allocation; Economic development goals; China; INNOVATION; GROWTH;
D O I
10.1016/j.jenvman.2024.121766
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Based on city-level panel data spanning 2008 to 2021, this study investigates the impact of government environmental attention (GEA) on green total factor productivity (GTFP). The findings suggest that increased GEA substantially enhances the growth of GTFP. After conducting robustness and endogeneity tests, the study's results consistently show reliability and robustness. Further analysis elucidates several mechanisms through which GEA influences GTFP, including fostering green technology innovation, optimizing resource allocation, and promoting upgrades in industrial structure. Heterogeneity analyses reveal that the impact of GEA on GTFP is notably pronounced in eastern cities, as well as in cities characterized by low resource dependency, mature industrial development, and high market competition. Conversely, the influence of GEA on GTFP is less discernible in cities prioritizing economic development goals, possibly due to differing policy orientations and resource allocation strategies. This study offers a novel perspective on understanding how GEA shape green development and provides empirical support for policy formulation.
引用
收藏
页数:10
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