Digital finance and green growth in China: Appraising inclusive digital finance using web crawler technology and big data

Asif Razzaq and Xiaodong Yang

Technological Forecasting and Social Change, 2023, vol. 188, issue C

Abstract: This study examines the influence of digital finance on green growth using China's city-level data from 2008 to 2019. Web crawler technology and a super-efficiency SBM model are employed to measure inclusive digital finance and green growth. For mechanism analysis, it innovatively quantifies the enterprise digital transformation using Big Data text and factor analysis techniques from the unique perspective of disclosing textual information about “enterprise digital transformation”. The results exhibit that inclusive digital finance significantly promotes green growth, and these results are consistent using robust standard error estimation, bootstrap sampling, endogenous estimators, and alternative proxies. The regional samples demonstrate heterogeneous outcomes, suggesting that the influence of digital finance is more pronounced in eastern and central regions than in the western region. Moreover, the asymmetric effect of digital finance is documented through panel quantile regression. It displays that the influence of digital finance turns stronger from the 3rd to 7th quantile and decreases hereafter. Manifestly, the mechanism analysis discovers that digital finance encourages green growth by supporting the digital transformation of enterprises and addressing energy poverty. These findings offer valuable policy recommendations for legislators.

Keywords: Inclusive digital finance; Green growth; Web crawlers; Energy poverty; Enterprise digital transformation (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (45)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162522007831
Full text for ScienceDirect subscribers only

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:eee:tefoso:v:188:y:2023:i:c:s0040162522007831

DOI: 10.1016/j.techfore.2022.122262

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().