气候变化领域集成服务门户(CCPortal): The effects of enterprise digital transformation on low-carbon urban development: Empirical evidence from China

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DOI	10.1016/j.techfore.2024.123259
	The effects of enterprise digital transformation on low-carbon urban development: Empirical evidence from China
	Long, Yan; Liu, Liangcan; Yang, Bing
发表日期	2024
ISSN	0040-1625
EISSN	1873-5509
起始页码	201
卷号	201
英文摘要	Global climate change poses an unprecedented and urgent challenge, driving the international community towards a consensus on low-carbon sustainable development. Enterprise digital transformation is a strategic response to the evolving demands of the Information Age, which reshapes business processes and reduces energy consumption. This paper empirically investigates the impact of enterprise digital transformation on low-carbon urban development, based on matched firm-city data covering the period 2006-2020. The SBM-DDF model is employed to assess low-carbon urban development, and the text mining approach is utilized to calculate the digital transformation index of enterprises. The results indicate that enterprise digital transformation significantly facilitates low-carbon urban development and the primary mechanisms involve fostering green technology innovation, increasing the scale of green investment, and driving the transformation of industrial structure. This promotional effect is positively reinforced by government environmental concerns, government environmental subsidies, and fintech development. Additionally, the positive impact of digital transformation on low-carbon development occurs more predominantly in regions with lower levels of industrialization and marketization, and this effect becomes more evident after the digital transformation wave. By establishing a micro-level empirical foundation, this paper aims to contribute to digital transformation strategic decision-making within enterprises, while also offering a tangible and feasible pathway for advancing low-carbon urban transformation initiatives.
英文关键词	Enterprise digital transformation; Low -carbon urban development; SBM-DDF model; Text mining
语种	英语
WOS研究方向	Business & Economics ; Public Administration
WOS类目	Business ; Regional & Urban Planning
WOS记录号	WOS:001182386000001
来源期刊	TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/297550
作者单位	Guizhou University of Finance & Economics; Guizhou University of Finance & Economics
推荐引用方式 GB/T 7714	Long, Yan,Liu, Liangcan,Yang, Bing. The effects of enterprise digital transformation on low-carbon urban development: Empirical evidence from China[J],2024,201.
APA	Long, Yan,Liu, Liangcan,&Yang, Bing.(2024).The effects of enterprise digital transformation on low-carbon urban development: Empirical evidence from China.TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE,201.
MLA	Long, Yan,et al."The effects of enterprise digital transformation on low-carbon urban development: Empirical evidence from China".TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 201(2024).