Does digital transformation promote local-neighborhood green technology innovation?-based on the panel data of Chinese a-share listed companies from 2011 to 2021

  • Gang Du*
  • , Chuanmei Zhou
  • , Mengyu Zhang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Article number142809
JournalJournal of Cleaner Production
Volume466
DOIs
StatePublished - 10 Aug 2024

Keywords

  • Digital transformation
  • Enterprise green innovation
  • Local-neighborhood effect
  • Spatial doberman model

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