Zhou Hongji, Wang Rong
School of Economics and Management, Nanjing Institute of Technology, No.1 Hongjing Avenue, Jiangning Science Park, Nanjing, 211167, Jiangsu, China.
Business School, Nanjing Xiaozhuang University, No.3601 Hongjing Avenue, Jiangning District, Nanjing, 211171, Jiangsu, China.
Environ Sci Pollut Res Int. 2022 Nov;29(52):78973-78988. doi: 10.1007/s11356-022-21371-y. Epub 2022 Jun 15.
This study adopts super-DEA model to measure the current level of green innovation efficiency in Chinese provinces. At the same time, Tobit model is used to analyze the impact of energy factor prices and environmental regulation on its efficiency, the results are as follows: (1) Chinese green innovation efficiency average is 0.545, which is at a low level, but shows a steady upward trend. The results have shown that large differences exist in different provinces. Average value of efficiency is highest in the eastern and lowest in the western, and low green innovation efficiency is focus on main provinces of producing coal-based mineral resources. (2) The price change of energy factors inhibits the national green innovation efficiency. The impact on the eastern part of China is positive, but did not pass the significance test, and in central region is negative and also did not pass test, but in the western, it inhibits green innovation efficiency significantly. Environmental regulation has a negative effect on the national green innovation efficiency, the impact coefficient of east is positive, and also positive in the central part, but it fails to pass significance test, while in the west is negative. It can be seen that there are significant regional differences in the impact of the two on the efficiency of green innovation. This paper proposes that we can pay attention to the promotion of environmental regulation, encourages enterprises to actively carry out green innovation activities, continues to deepen the market-oriented reform of energy prices, and increases credit support and introduce financial resources for corporate R&D activities to explore policies to improve the efficiency of regional green innovation.
本研究采用超DEA模型测度中国各省绿色创新效率的当前水平。同时,运用Tobit模型分析能源要素价格和环境规制对其效率的影响,结果如下:(1)中国绿色创新效率均值为0.545,处于较低水平,但呈稳步上升趋势。结果表明不同省份存在较大差异。效率均值东部最高,西部最低,绿色创新效率较低的主要集中在煤炭型矿产资源主产区省份。(2)能源要素价格变动抑制全国绿色创新效率。对中国东部地区的影响为正向,但未通过显著性检验,中部地区为负向且也未通过检验,而在西部地区,其显著抑制绿色创新效率。环境规制对全国绿色创新效率有负向影响,东部地区影响系数为正,中部地区也为正,但未通过显著性检验,而在西部地区为负。可见二者对绿色创新效率的影响存在显著的区域差异。本文提出,可以注重环境规制的推进,鼓励企业积极开展绿色创新活动,继续深化能源价格市场化改革,加大对企业研发活动的信贷支持并引入金融资源,以探索提高区域绿色创新效率的政策。