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Decreasing carbon emission intensity (CEI) has emerged as a crucial strategy for nations to attain low-carbon economic growth. Nevertheless, a definitive conclusion about the correlation between financial development and CEI has not been reached. This research examines the influence of digital inclusive finance (DIF), a novel financial sector, on CEI, and the role of digital technology innovation (DTI) in this impact. Firstly, this study analyzes the influence of DIF on CEI from the perspectives of technology effect and scale effect and proposes the hypothesis that the impact of DIF on CEI is U-shaped. Then, using a double fixed-effect model and a sample of 30 provinces in China from 2011 to 2021, this study verifies the accuracy of the hypothesis. Subsequently, this study examines the mechanism by which DIF impacts CEI, and the results indicate that DIF can exert a U-shaped influence on CEI via enhancing DTI. Then, this study further investigates the impact of DIF on CEI from three angles: geographical location, human capital level, and green finance. It also explores the geographical spillover effect and spatial heterogeneity by employing the Durbin model. Lastly, drawing from the aforementioned analysis, this report proposes some recommendations.
Decreasing carbon emission intensity (CEI) has emerged as a crucial strategy for nations to attain low-carbon economic growth. Nevertheless, a definitive conclusion about the correlation between financial development and CEI has not been reached. This research examines the influence of digital inclusive finance (DIF), a novel financial sector, on CEI, and the role of digital technology innovation (DTI) in this impact. Firstly, this study analyzes the influence of DIF on CEI from the perspectives of technology effect and scale effect and proposes the hypothesis that the impact of DIF on CEI is U-shaped. Then, using a double fixed-effect model and a sample of 30 provinces in China from 2011 to 2021, this study verifies the accuracy of the hypothesis. Subsequently, this study examines the mechanism by which DIF impacts CEI, and the results indicate that DIF can exert a U-shaped influence on CEI via enhancing DTI. Then, this study further investigates the impact of DIF on CEI from three angles: geographical location, human capital level, and green finance. It also explores the geographical spillover effect and spatial heterogeneity by employing the Durbin model. Lastly, drawing from the aforementioned analysis, this report proposes some recommendations.
This study investigates the previous studies on successful digital transformation initiatives in government organizations and deduces the tangible and intangible benefits to showcase some real-life examples and evidence. This article provides a thorough evaluation of the available literature on successful digital transformation initiatives. It analyzes 53 important success elements grouped across seven dimensions, giving a conceptual framework for executing digital transformation in government organizations. The research identifies key success elements that are crucial for digital transformation, emphasizing the importance of clear planning, flexibility, agility, and robust data security measures. This study provides practical insights for organizations aiming to undertake digital transformation initiatives, highlighting strategies to overcome hurdles and maximize benefits. This study contributes a proposed conceptual framework and empirical evidence to guide academics, professionals, and decision-makers in effectively navigating and leveraging digital transformation in a rapidly evolving digital landscape.
<abstract> <p>The study of Large Language Models (LLMs), as an interdisciplinary discipline involving multiple fields such as computer science, artificial intelligence, and linguistics, has diverse collaborations within its field. In this study, papers related to LLMs in the SSCI and SCI sub-collections of the Web of Science core database from January 2020 to April 2024 are selected, and a mixed linear regression model is used to assess the impact of scientific collaborations on the application of LLMs. On this basis, the paper further considers factors such as financial support and dominant countries to deeply explore the heterogeneous impact of scientific collaborations on the application of LLMs. The findings show that (1) excessive involvement of academic institutions limits the research and application of LLMs, and the number of authors does not have a significant effect on the application of LLMs; (2) with or without financial support, the role played by scientific collaborations in the application of LLMs does not significantly change; and (3) differences in the dominant countries of scientific collaborations have a slightly heterogeneous effect on the role of LLMs applications, which are mainly reflected in the number of collaborators.</p> </abstract>
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