How does corporate digital transformation affect green innovation? Evidence from China's enterprise data

IF 13.6 2区经济学 Q1 ECONOMICS Energy Economics Pub Date : 2025-02-01 DOI:10.1016/j.eneco.2025.108217

Jian Zhang , Chin-Hsien Yu , Jinsong Zhao , Chi-Chuan Lee

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Abstract

Considering that corporate digital transformation plays a crucial role in promoting the sustainable growth of enterprises, the impact of this technological evolution on green innovation warrants additional investigation. Using firm-level data from China for the 2011–2020 period, our study demonstrates the influence of digital transformation on corporate green innovation. Our findings show that environmental information, when gathered through digital technologies, can guide firms in their green innovation efforts and assist in securing financial resources. Heterogeneity analysis suggests that in areas with stricter environmental regulations and non-high-tech firms, digital transformation exhibits a more pronounced ability to bolster green innovative capacity. Evidence also reveals the interplay between digital transformation and investors' green attention, indicating a notable positive influence on corporate green innovation. These insights provide valuable implications for both governments and corporations on how digital transformation can be harnessed to advance green innovation and achieve balanced sustainable development in both the economic and environmental dimensions.

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来源期刊

Energy Economics ECONOMICS-

CiteScore

18.60

自引率

12.50%

发文量

524

期刊介绍： Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.