While now appears appropriate to assert that digital finance can relieve firms' financing constraints, the picture of whether it can improve enterprises' green investment is much less clear. Using 2011-2019 data for Chinese listed heavily polluting (HP) enterprises, we examine the effects of digital finance on corporate green investment. Results show that digital finance impedes HP firms' green investments, and this finding is robust to various tests, including the instrumental variable approach, exogenous shock, and alternative measures of variables. Additional tests reveal that digital finance increases firms' financial investment, which crowds out green investment. Also, this inhibitory impact varies with firms' geographical location, industry characteristics, and the implementation of the new Environmental Protection Law. The findings of this study provide new perspectives on digital finance by identifying its negative impact on the corporate green environment. We also propose corresponding policy recommendations, including strengthening the regulation and guidance of digital finance development, reducing monopolies in the financial sector, and formulating differentiated environmental policies.
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http://dx.doi.org/10.1007/s11356-022-20803-z | DOI Listing |
PLoS One
January 2025
Institute for Chengdu-Chongqing Economic Zone Development, Chongqing Technology and Business University, Chongqing, China.
Green innovation is essential for sustainable development, especially in China's Specialized-Refined-Differentiated-Innovative (SRDI) enterprises. Family-owned SRDI firms, in particular, have attracted attention due to their de-familization strategies and their influence on green innovation. Our study analyzes panel data from 2016 to 2021 for listed SRDI family firms to investigate how de-familization in management rights and ownership impacts green innovation.
View Article and Find Full Text PDFAccid Anal Prev
January 2025
School of Information Science and Technology, ShanghaiTech University, Shanghai, China; Shanghai Engineering Research Center of Intelligent Vision and Imaging, Shanghai, China. Electronic address:
Advanced Driver Assistance Systems (ADAS) are crucial for enhancing driving safety by alerting drivers to unrecognized risks. However, traditional ADAS often fail to account for individual decision-making processes, including drivers' perceptions of the environment and personal driving styles, which can lead to non-compliance with the provided assistance. This paper introduces a novel Cognitive-Digital-Twin-based Driving Assistance System (CDAS), leveraging a personalized driving decision model that dynamically updates based on the driver's control and observation actions.
View Article and Find Full Text PDFPLoS One
January 2025
School of Finance, Zhongnan University of Economics and Law, Wuhan, China.
Green development is related to the long-term sustainable development of enterprises, but there is little literature on the impact of information and communication technology (ICT) investment on green development of enterprises. To fill this gap, based on the sample of A-share high-polluting industry enterprises in China's Shanghai and Shenzhen stock markets from 2007 to 2019, this paper uses the dynamic panel threshold model to deeply study the non-linear impact of ICT investment on green development. This paper found that: (1) there is a threshold effect on the impact of ICT investment on green development of enterprises in high-polluting industries, and when ICT investment breaks through the threshold value, it can promote green development.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea.
Spontaneous abortion, commonly known as miscarriage, is a significant concern during early pregnancy. Histopathological examination of tissue samples is a widely used method to diagnose and classify tissue phenotypes found in products of conception (POC) after spontaneous abortion. Histopathological examination is subjective and dependent on the skill and experience of the examiner.
View Article and Find Full Text PDFHeliyon
December 2024
Applied Science and Technology Department, Politecnico di Torino, Turin, Italy.
In recent years, Prognostics and Health Management (PHM) have been considered in broad industrial areas to improve the effectiveness of maintenance activities. In chemical engineering domains, PHM is regarded to have big potential for reliability and safety management of complex systems. In this study, a bibliometric analysis has been conducted to explore the evolution of PHM by retrieving 2351 publications from the Web of Science Core Collection (Retrieve date: 12/05/2023).
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