Wang Limin, Li Shanhong, Lv Yanqin
Business College, Qingdao University, Qingdao 266071, China.
Qingdao Rural Commercial Bank, Qingdao 266061, China.
Heliyon. 2023 Dec 16;10(1):e23801. doi: 10.1016/j.heliyon.2023.e23801. eCollection 2024 Jan 15.
The green development of manufacturing industries is significantly impacted by local governments. In this study, we focus on assessing the environmental governance effectiveness by examining the tasks assigned by the central government to each province under the Comprehensive Work Program for Energy Conservation and Emission Reduction. By utilizing panel data from 30 provinces and cities in China from 2011 to 2020, we employ the super-efficient SBM model to evaluate China's manufacturing industry's green total factor productivity. Through various models, including the double-fixed effect and the mediation effect, we investigate the influence of environmental governance targets on the green total factor productivity of the manufacturing industry. Our findings reveal a U-shaped relationship between the environmental governance target and the green total factor productivity of the manufacturing industry. When the pressure of environmental governance targets is below a certain critical value, the green total factor productivity decreases as the target pressure increases. However, once the target pressure surpasses this critical value, the green total factor productivity experiences a positive correlation with the target pressure. Further analysis demonstrates that this U-shaped relationship is observed in regions with low and medium marketization, while regions with high marketization remain unaffected. Moreover, the impact of environmental governance target pressure on green total factor productivity in manufacturing is facilitated by the promotion of green innovation. Furthermore, the relationship between environmental governance target pressure and green total factor productivity in manufacturing is moderated by local government fiscal expenditures. In regions where fiscal expenditures are higher, the influence of environmental governance target pressure on green total factor productivity in manufacturing is more pronounced.
制造业的绿色发展受到地方政府的显著影响。在本研究中,我们聚焦于通过考察中央政府在《节能减排综合性工作方案》下分配给各省的任务来评估环境治理成效。利用2011年至2020年中国30个省市的面板数据,我们采用超效率SBM模型来评估中国制造业的绿色全要素生产率。通过各种模型,包括双重固定效应模型和中介效应模型,我们研究了环境治理目标对制造业绿色全要素生产率的影响。我们的研究结果揭示了环境治理目标与制造业绿色全要素生产率之间呈U形关系。当环境治理目标压力低于某个临界值时,绿色全要素生产率随着目标压力的增加而下降。然而,一旦目标压力超过这个临界值,绿色全要素生产率与目标压力呈正相关。进一步分析表明,这种U形关系在市场化程度低和中等的地区存在,而市场化程度高的地区则不受影响。此外,绿色创新的促进作用推动了环境治理目标压力对制造业绿色全要素生产率的影响。此外,地方政府财政支出调节了环境治理目标压力与制造业绿色全要素生产率之间的关系。在财政支出较高的地区,环境治理目标压力对制造业绿色全要素生产率的影响更为显著。