Li Wei, Xu Xiaomin, Huang Shengzhong, Cheng Tong, Liu Mengkai, Zhang Can
School of Management, China University of Mining and Technology-Beijing, Beijing, 100083, China.
Intelligent Measurement and Control Division, Shandong Giant E-Tech Co., Ltd, Jinan, 250100, China.
Sci Rep. 2023 Nov 27;13(1):20789. doi: 10.1038/s41598-023-47786-2.
Enhancing energy-environmental efficiency (EEE) is crucial for achieving energy conservation and emission reduction goals. Investigating the mechanism through which green technology innovation (GTI) affects EEE and understanding the role of environmental regulation (ER) in this process provides a theoretical basis for efficient utilization of GTI and ER. This study employs a Dynamic Spatial Durbin Model and utilizes panel data from 2003 to 2017 for 30 Chinese provinces to examine the impact of GTI on EEE in the presence of ER. The empirical results reveal: (1) GTI has a U-shaped impact on EEE, primarily driven by SubGI. (2) GTI's influence on EEE is predominantly reflected in PTE, also stemming from SubGI. (3) The interaction term between ER and GTI is 0.0022, while the GTI coefficient is - 0.0741, and the GTI quadratic term coefficient is 0.0007, all statistically significant. This implies that ER mitigates the negative impact of GTI on EEE while strengthening its positive effect. These findings provide empirical evidence and policy insights for more effectively utilizing GTI and ER to enhance EEE and achieve energy conservation and emissions reduction goals.
提高能源环境效率（EEE）对于实现节能减排目标至关重要。研究绿色技术创新（GTI）影响EEE的机制，并了解环境规制（ER）在此过程中的作用，为高效利用GTI和ER提供了理论依据。本研究采用动态空间杜宾模型，利用2003年至2017年中国30个省份的面板数据，考察在存在ER的情况下GTI对EEE的影响。实证结果表明：（1）GTI对EEE有U型影响，主要由子GTI驱动。（2）GTI对EEE的影响主要体现在纯技术效率（PTE）上，也源于子GTI。（3）ER与GTI的交互项为0.0022，而GTI系数为-0.0741，GTI二次项系数为0.0007，均具有统计学意义。这意味着ER减轻了GTI对EEE的负面影响，同时增强了其正面影响。这些发现为更有效地利用GTI和ER来提高EEE以及实现节能减排目标提供了实证证据和政策见解。
