Digital economy, industrial agglomeration, and green innovation efficiency: empirical analysis based on Chinese data

Jiamin Liu, Yongheng Fang, Yabing Ma and Yihan Chi

Journal of Applied Economics, 2024, vol. 27, issue 1, 2289723

Abstract: This study measures and analyzes the spatial characteristics of the relevant indices by constructing an evaluation index system. The SBM-DEA model and Tobit regression model were used to empirically test the influence relationship between digital economy, industrial agglomeration, and green innovation efficiency development. The study results show (1) the development level of China’s digital economy, industrial agglomeration and green innovation efficiency shows a heterogeneous character of “high in the east and low in the west” at the spatial level. (2) the positive effect of China’s digital economy and diversified industrial agglomeration on the development of green innovation efficiency. (3) Among other influencing factors, trade openness and labor quality have a significant impact on improving the efficiency of green innovation.Therefore, this study puts forward suggestions to strengthen the construction of new infrastructures, correctly guide the collaborative industrial agglomeration, and strengthen the exchange of information among enterprisers.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/15140326.2023.2289723 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:recsxx:v:27:y:2024:i:1:p:2289723

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/recs20

DOI: 10.1080/15140326.2023.2289723

Access Statistics for this article

Journal of Applied Economics is currently edited by Jorge M. Streb

More articles in Journal of Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().