Digital inclusive finance, factor flow and industrial structure upgrading: Evidence from the yellow river basin

Jiao, Yong; Wang, Gaofei; Li, Chengyou; Pan, Jia

doi:10.1016/j.frl.2024.105141

Cited by 3 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This index primarily employs the Analytical Hierarchy Process (AHP) to determine the weights of indicators, and the DFII is calculated using a weighted arithmetic mean, illustrating a classic MCDA method used for index determination. Since its release, the PKU-DFIIC has been widely used in academia to explore the relationships between digital financial inclusion and various socioeconomic dimensions, including household consumption, corporate environmental performance, multidimensional poverty reduction, innovation in small and medium-sized enterprises (SMEs), and the influence on factor flow and industrial structure upgrading [1,[12][13][14][15]. These studies cover multiple dimensions, from the household level to the macroeconomic level, gradually establishing the PKU-DFIIC as an authoritative index for research related to digital financial inclusion.…”

Section: Measurement Of Digital Financial Inclusion and Common Prospe...mentioning

confidence: 99%

Spatial Network Analysis of Coupling Coordination between Digital Financial Inclusion and Common Prosperity in the Yangtze River Delta Urban Agglomeration

Zeng,

Sun

2024

Mathematics

View full text Add to dashboard Cite

Digital financial inclusion and common prosperity are pivotal elements in promoting the sustainable socioeconomic development of China. This study introduces a novel Multi-Criteria Decision Analysis (MCDA) method to evaluate the Common Prosperity Index (CPI). Using this index, alongside the Digital Financial Inclusion Index (DFII) released by Peking University, it examines the evolution of the coupling coordination relationship between digital financial inclusion and common prosperity within the Yangtze River Delta (YRD) urban agglomeration from 2011 to 2021. By integrating gravity models and social network analysis, in this paper, we thoroughly investigate the spatiotemporal evolution characteristics of the spatial network of this coupling coordination relationship. The results indicate that both the DFII and CPI generally exhibit an upward trend, but the decline in the coupling degree reflects a weakened interaction strength between them. Specifically, Anhui significantly lags behind Jiangsu, Zhejiang, and Shanghai in the development of digital financial inclusion and common prosperity, indicating regional development imbalances. Furthermore, the strength of spatial connections in city coupling coordination has significantly increased, with Nanjing’s siphon effect on cities in Anhui becoming markedly stronger, and the number of core cities in the network increasing, which demonstrates a geographical proximity feature in network development. Additionally, the overall network characteristics are transitioning towards higher density and “small-world” properties, suggesting a trend toward network stabilization. The disparity in centrality among cities has decreased, with an overall enhancement in centrality, where the spatial spillover effects from core areas such as Hangzhou-Ningbo, Nanjing-Changzhou, and Shanghai-Suzhou-Wuxi significantly promote the development of peripheral cities. Based on these findings, this paper proposes policy recommendations for the sustainable development of digital financial inclusion and common prosperity in the YRD region.

show abstract

Section: Measurement Of Digital Financial Inclusion and Common Prospe...mentioning

confidence: 99%

Spatial Network Analysis of Coupling Coordination between Digital Financial Inclusion and Common Prosperity in the Yangtze River Delta Urban Agglomeration

Zeng,

Sun

2024

Mathematics

View full text Add to dashboard Cite

show abstract

Digital finance and sustainable development: Evidence from developing nations

Bakry,

Nghiem,

Bhatti

et al. 2024

Science Progress

View full text Add to dashboard Cite

Objectives This paper investigates the role of digital finance in promoting environmental sustainability within a group of 52 developing economies from 2010 to 2019. Specifically, it examines whether digital finance effectively contributes reducing CO2 emissions in these nations. Methods This paper is a quantitative study which employs the IV-GMM (instrumental variable generalized methods of moment) approach that tackles any potential endogeneity. Furthermore, to ensure robustness of results, this paper also utilizes different measures of financial development. Results Estimation results from this study reveal the presence of inverted U-shaped relationship between digital finance and CO2 emissions. This suggests that the beneficial effects of digital finance may take time to materialize. Additionally, this research also records the presence of the Environmental Kuznets Curve and a significant impact of renewable energy, trade openness, financial development, urbanization, and population on CO2 emissions. Conclusions It can be concluded that it may take time for digital finance to become beneficial to the environment. Therefore, in addition to digital finance, countries should also adopt other measures simultaneously (use of renewable energy, combination between digital finance and financial development).

show abstract

Does Industrial Structure Upgrading Promote China’s Outward Foreign Direct Investment (OFDI) in ASEAN Countries? Evidence from Provincial Panels

Li,

Zhao,

et al. 2024

Economies

View full text Add to dashboard Cite

Numerous studies have explored the impact of Outward Foreign Direct Investment (OFDI) on upgrading industrial structures in home countries. However, a notable gap exists in the literature regarding the reverse relationship. Based on the cross-border greenfield investment data of Chinese provinces in Association of Southeast Asian Nations (ASEAN) countries from 2003 to 2021, this study employed the Ordinary Least Squares (OLS) model to evaluate the impact of industrial upgrading in each province on OFDI to address this gap. The findings suggest that China’s industrial structure upgrading significantly promotes OFDI toward ASEAN countries, though the effect varies by region within China and by the income levels of host countries. Regionally, industrial upgrading in eastern China notably stimulates OFDI growth, while the effect is not significant in the central and western regions, reflecting inconsistent evolution of industrial structures in various regions. Regarding host country income levels, the promotion effect of industrial structure upgrading on OFDI is influenced by the economic development level of the host country. Furthermore, we find that R&D intensity acts as a moderator that links industrial structural upgrading to OFDI responses. These findings withstand robustness checks, including tests for endogeneity. Ultimately, this study provides policy insights for strengthening the virtuous cycle between industrial upgrading and OFDI.

show abstract

Digital inclusive finance, factor flow and industrial structure upgrading: Evidence from the yellow river basin

Cited by 3 publications

References 20 publications

Spatial Network Analysis of Coupling Coordination between Digital Financial Inclusion and Common Prosperity in the Yangtze River Delta Urban Agglomeration

Spatial Network Analysis of Coupling Coordination between Digital Financial Inclusion and Common Prosperity in the Yangtze River Delta Urban Agglomeration

Digital finance and sustainable development: Evidence from developing nations

Does Industrial Structure Upgrading Promote China’s Outward Foreign Direct Investment (OFDI) in ASEAN Countries? Evidence from Provincial Panels

Contact Info

Product

Resources

About