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Title Digital economy, industrial agglomeration, and green innovation efficiency: empirical analysis based on Chinese data
ID_Doc 62296
Authors Liu, JM; Fang, YH; Ma, YB; Chi, YH
Title Digital economy, industrial agglomeration, and green innovation efficiency: empirical analysis based on Chinese data
Year 2024
Published Journal Of Applied Economics, 27, 1
DOI 10.1080/15140326.2023.2289723
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.
Author Keywords Digital economy; industrial agglomeration; green innovation efficiency
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Social Science Citation Index (SSCI)
EID WOS:001115794000001
WoS Category Economics
Research Area Business & Economics
PDF https://www.tandfonline.com/doi/pdf/10.1080/15140326.2023.2289723?needAccess=true
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