TY - JOUR
T1 - Does digital transformation promote local-neighborhood green technology innovation?-based on the panel data of Chinese a-share listed companies from 2011 to 2021
AU - Du, Gang
AU - Zhou, Chuanmei
AU - Zhang, Mengyu
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/8/10
Y1 - 2024/8/10
N2 - As China's economy continues to grow rapidly, the importance of green and sustainable development is increasingly prominent. In this context, enterprises have undergone significant changes in all aspects of the value creation process. Based on the data of Chinese a-share listed companies from 2011 to 2021, this paper links the digital transformation of enterprises with the green technology innovation of enterprises. The focuses on the relationship between the enterprises' digital transformation and the enterprises' green innovation and its Local-neighborhood effect. Research shows that the digital transformation of enterprises will promote the enterprise green technology innovation, and this relationship will have a Local-neighborhood effect in different regions, and this spatial spillover effect is mainly achieved through the transfer of high-tech industries between regions. The results of heterogeneity test show that the effect of green technology innovation is the strongest in Beijing-Tianjin-Hebei economic circle, and the weakest in Pearl River Delta economic circle. Based on the spatial econometric model, this paper provides empirical evidence for the government and the state to formulate the regional development strategy of enterprises' digital transformation and green innovation.
AB - As China's economy continues to grow rapidly, the importance of green and sustainable development is increasingly prominent. In this context, enterprises have undergone significant changes in all aspects of the value creation process. Based on the data of Chinese a-share listed companies from 2011 to 2021, this paper links the digital transformation of enterprises with the green technology innovation of enterprises. The focuses on the relationship between the enterprises' digital transformation and the enterprises' green innovation and its Local-neighborhood effect. Research shows that the digital transformation of enterprises will promote the enterprise green technology innovation, and this relationship will have a Local-neighborhood effect in different regions, and this spatial spillover effect is mainly achieved through the transfer of high-tech industries between regions. The results of heterogeneity test show that the effect of green technology innovation is the strongest in Beijing-Tianjin-Hebei economic circle, and the weakest in Pearl River Delta economic circle. Based on the spatial econometric model, this paper provides empirical evidence for the government and the state to formulate the regional development strategy of enterprises' digital transformation and green innovation.
KW - Digital transformation
KW - Enterprise green innovation
KW - Local-neighborhood effect
KW - Spatial doberman model
UR - https://www.scopus.com/pages/publications/85196194976
U2 - 10.1016/j.jclepro.2024.142809
DO - 10.1016/j.jclepro.2024.142809
M3 - 文章
AN - SCOPUS:85196194976
SN - 0959-6526
VL - 466
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 142809
ER -