气候变化领域集成服务门户(CCPortal): Does environmental carbon pressure lead to low-carbon technology innovation? Empirical evidence from Chinese cities based on satellite remote sensing and machine learning

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DOI	10.1016/j.cie.2024.109948
	Does environmental carbon pressure lead to low-carbon technology innovation? Empirical evidence from Chinese cities based on satellite remote sensing and machine learning
	Sun, Qingqing; Chen, Hong; Wang, Yujie; Wang, Xinru; Peng, Xu; Zhang, Qian; Sun, Yunhao
发表日期	2024
ISSN	0360-8352
EISSN	1879-0550
起始页码	189
卷号	189
英文摘要	Climate change has become the most significant environmental issue facing human society in the 21st century, and a low-carbon transition is imminent. In order to comprehensively evaluate the balanced relationship between carbon activities and ecological environment under different regional scenarios. Opening up the black box of low-carbon technological innovation in Chinese cities under the pressure of climate change. This work combines the characteristic forecasting of random forest with the ordinary least square model to assess the contribution value and effects of various characteristic variables. The findings demonstrate that (1) China's carbon pressure level has changed from equilibrium to overload. The number of carbon high-pressure cities is increasing year by year. Carbon high pressure cities have risen from 12 to 68 in 20 years. (2) The carbon pressure on the city is directly influenced by the secondary industrial production value and the land urbanization ratio. Nevertheless, the level of environmental regulations imposed by municipal governments remains rather consistent, irrespective of the degree of urban carbon emissions. (3) Urban carbon pressure has a direct impact on the development of low-carbon technologies, with characteristic contributions of 0.91, 0.52, 0.43, and 0.3 at various pressure levels, respectively. (4) Population size and the level of economic development have a significant positive impact on the promotion of low-carbon technological innovation. The government should give full play to the talent and technology advantages of the core city clusters, and create a technological innovation alliance between the city clusters through the scale effect of economic factors. This study helps determine the correlation between carbon pressure and low-carbon technological innovation, and helps provincial and local governments identify their own carbon pressure status and choose differentiated emission reduction models.
英文关键词	Urban carbon pressure; Low -carbon technology innovation; Nighttime light data; Random forest feature extraction; Ordinary least square
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号	WOS:001186631900001
来源期刊	COMPUTERS & INDUSTRIAL ENGINEERING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/290370
作者单位	China University of Mining & Technology; University of British Columbia; Jiangnan University; Jiangnan University; Taiyuan University of Technology
推荐引用方式 GB/T 7714	Sun, Qingqing,Chen, Hong,Wang, Yujie,et al. Does environmental carbon pressure lead to low-carbon technology innovation? Empirical evidence from Chinese cities based on satellite remote sensing and machine learning[J],2024,189.
APA	Sun, Qingqing.,Chen, Hong.,Wang, Yujie.,Wang, Xinru.,Peng, Xu.,...&Sun, Yunhao.(2024).Does environmental carbon pressure lead to low-carbon technology innovation? Empirical evidence from Chinese cities based on satellite remote sensing and machine learning.COMPUTERS & INDUSTRIAL ENGINEERING,189.
MLA	Sun, Qingqing,et al."Does environmental carbon pressure lead to low-carbon technology innovation? Empirical evidence from Chinese cities based on satellite remote sensing and machine learning".COMPUTERS & INDUSTRIAL ENGINEERING 189(2024).