Ming Yi

Dr. Ming Yi

School of Economics and Management, China University of Geosciences, Wuhan 430074, China

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Ming YiMing Yi
Ming Yi
WYWang Yiqian
Wang Yiqian
MYModan Yan
Modan Yan
LFLina Fu
Lina Fu
YZYao Zhang
Yao Zhang
The Yangtze River Economic Belt is the most important manufacturing economic belt in China. The level of manufacturing green innovation efficiency of the Yangtze River Economic Belt directly affects the overall competitiveness of China’s manufacturing industry. With panel data from 11 provinces and cities along the Yangtze River Economic Belt in China for the period of 2008 to 2017, this paper applies the slacks-based measure (SBM)-data envelopment analysis (DEA) model and panel Tobit model to conduct an empirical study of the effects of government research and development subsidies and environmental regulations on the green innovation efficiency of the manufacturing industry of the Yangtze River Economic Belt. The results show that, firstly, government R&D subsidies and environmental regulations are both conducive to improving the green innovation efficiency of the manufacturing industry of the Yangtze River Economic Belt; secondly, because of the fact that the interaction terms between government R&D subsidies and environmental regulations failed to pass the significance test, the positive moderating effects of R&D subsidies on environmental regulations and green innovation efficiency of the manufacturing industry are not obvious; thirdly, in terms of control variables, strengthening agglomeration is the only factor that is positively correlated with green innovation efficiency improvement of the manufacturing industry. Enterprise scale and industrial structure have negative effects on green innovation efficiency improvement, and the openness of economy has no correlation with green innovation efficiency.

Ming YiMing Yi
Ming Yi
XFXiaomeng Fang
Xiaomeng Fang
le wenle wen
le wen
FGFengtao Guang
Fengtao Guang
YZYao Zhang
Yao Zhang
Environmental regulation is an important driving force of green technology innovation. In this paper, environmental policy instruments are classified into three categories: command-control, market-incentive and social-will. Based on the panel data of 30 provinces in China from 2010 to 2017, a fixed effect model and a panel threshold regression model are used to test the heterogeneous effects of different types of environmental policy instruments on the green technology innovation in China. The results show that: (1) Overall, China’s environmental policy instruments do not provide sufficient impetus for green technology innovation; (2) The impact of command-control environmental policy instruments on green technology innovation has a single threshold effect. When its intensity exceeds a certain threshold, green technology innovation is improved. The impact of market-incentive environmental policy instruments on the green technology innovation shows a double threshold effect, that is to say, only when its intensity maintained within a reasonable interval, can green technology innovation be promoted by it; (3) There is significant spatial difference in the impact of different types of environmental policy instruments on green technology innovation. In order to induce green technology innovation, it is necessary to formulate a combined and differentiated environmental policy system, while rationally adjusting the strength of different types of environmental policy instruments.

24 September 2021 in Environmental Science and Pollution Research
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Ming YiMing Yi
Ming Yi
YLYing Lu
Ying Lu
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YLYing Luo
Ying Luo
SXShujing Xu
Shujing Xu
TZTian Zhang
Tian Zhang

19 March 2020 in Environmental Science and Pollution Research
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Closed access
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Jiachao PengJiachao Peng
Jiachao Peng
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LFLina Fu
Lina Fu
Ming YiMing Yi
Ming Yi

20 June 2024 in Environmental Research
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Journal Article
Closed access
ZZZiyu Zhai
Ziyu Zhai
TZTian Zhang
Tian Zhang
Ming YiMing Yi
Ming Yi
YGYanyu Guan
Yanyu Guan
YZYuchen Zhou
Yuchen Zhou