数字金融服务与包容性增长_来自CAREC国家的证据_50页_1mb

Summary of "Digital Financial Services and Inclusive Growth: Evidence from Selected CAREC Countries"

Core Content

This study explores the relationship between Digital Financial Services (DFS) and Inclusive Growth (IG) in selected Central Asia Regional Economic Cooperation (CAREC) countries from 2014 to 2024. It aims to understand how DFS can contribute to broader and more equitable development outcomes by analyzing its impact across different dimensions of inclusive growth.

The paper develops two composite indices: the Digital Financial Services Index (DFSI) and the Inclusive Growth Index (IGI). These indices are constructed using a two-level Shannon entropy weighting framework, which assigns objective, data-driven weights to both dimensions and indicators. The DFSI includes four dimensions: digital infrastructure, DFS adoption, internet affordability, and bandwidth capacity. The IGI encompasses social inclusiveness, human development, economic prosperity, and climate and environmental resilience.

The study uses panel data and employs the Random Effects model for estimation, selected based on Breusch–Pagan Lagrange Multiplier (BP-LM) and Hausman specification tests. It also conducts endogeneity checks using the Durbin–Wu–Hausman (DWH) test. To assess distributional heterogeneity, the Method of Moments Quantile Regression (MM-QR) is used, revealing an asymmetric relationship between DFSI and IGI. The effect of DFSI on IGI is strongest at the 10th percentile (0.086) and declines to 0.038 at the 90th percentile, suggesting that DFS is more impactful in disadvantaged economies.

Main Points

• Digital Financial Services (DFS) have the potential to significantly contribute to inclusive growth (IG), particularly in the CAREC region.

• The study uses a comprehensive and data-driven approach to construct indices for DFS and IG.

• DFSI is composed of:

  • Digital infrastructure
  • DFS adoption
  • Internet affordability
  • Bandwidth capacity

• IGI includes the following dimensions:

  • Social inclusiveness (poverty and inequality)
  • Human development (HDI)
  • Economic prosperity (GDP per capita)
  • Climate and environmental resilience (ND-GAIN Index)

• The Random Effects model was selected for analysis, and MM-QR was used to evaluate distributional impacts.

• The effect of DFSI on IGI is positive and persistent, with larger marginal returns in less developed economies such as Tajikistan and the Kyrgyz Republic.

• China leads in DFS adoption, with nearly 90% of adults using mobile payment services, while Afghanistan and Turkmenistan face significant data gaps and regional disparities in DFS and IG.

Key Findings

• DFS can reduce transaction costs, expand access, and overcome geographic and institutional barriers, thereby enhancing financial inclusion and economic resilience.
• DFS adoption is associated with improved financial management, formal savings, and greater economic participation, especially among women and low-income households.
• The asymmetric impact of DFSI on IGI implies that targeted DFS interventions should be prioritized in disadvantaged economies.
• Institutional and regulatory frameworks play a crucial role in DFS adoption and IG outcomes.
• The study highlights the need for policy harmonization and regulatory improvements to ensure equitable DFS access and inclusive growth across the CAREC region.

Methodology Highlights

• Data Sources: Global Findex Database (2024), World Development Indicators (WDIs), Human Development Report (HDR 2025), Worldwide Governance Indicators (WGIs), World Inequality Database (WID), and ITU.
• Excluded Countries: China and Afghanistan were excluded due to outlier status and data gaps, respectively. Turkmenistan was excluded due to substantial data limitations.
• Index Construction:
  • DFSI: Uses entropy weighting to reflect the relative importance of each dimension and indicator.
  • IGI: Also uses entropy weighting, capturing social, human, economic, and environmental aspects of inclusive growth.
• Statistical Tests:
  • Breusch–Pagan Lagrange Multiplier Test and Hausman Test were used to select the Random Effects model.
  • Durbin–Wu–Hausman Test was used to assess endogeneity.
  • Jarque-Bera (JB) and Shapiro-Wilk (SW) tests were used to evaluate normality.
  • Variance Inflation Factor (VIF) was used to check for multicollinearity.

Policy Implications

• The study recommends a progressive and quantile-informed approach to DFS investments, emphasizing targeted support for disadvantaged populations and economies.
• Four-tier policy recommendations are proposed, categorized by country group and priority, to guide regional integration and inclusive development.
• Improving digital infrastructure, enhancing regulatory frameworks, and expanding financial literacy are key strategies to promote DFS adoption and support inclusive growth.
• Digital finance should be integrated into broader development policies to ensure equitable access and sustainable outcomes.

Conclusion

The study demonstrates that DFS can play a critical role in promoting inclusive growth in the CAREC region, especially in economies with limited financial inclusion. The asymmetric impact of DFSI on IGI underscores the need for tailored policies and investments that address systemic barriers to financial access. By combining financial inclusion theory (FIT) and Sen's capability approach, the study provides a multidimensional framework for assessing DFS contributions to IG, offering valuable insights for policy design and regional cooperation.

References

• Aker, J. C., Boumnijel, G., McClelland, G., & Tierney, M. (2016). The impact of mobile money on financial inclusion: Evidence from Kenya.
• Ali, A., & Son, J. (2007). Inclusive growth: A new paradigm for growth policy.
• Anand, A., et al. (2013). Human development and inequality: A global perspective.
• Beck, T., Demirgüç-Kunt, A., & Levine, R. (2004). Financial development and economic growth.
• Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2018). Global Findex database.
• Jack, W., & Suri, T. (2014). Mobile money: The mobile revolution in financial inclusion.
• Sahay, A., et al. (2020). Digital financial services and inclusive growth: Evidence from Africa and South Asia.
• World Bank. (2021). Global Findex Database.
• World Bank. (2024). Regional economic cooperation in Central Asia.
• UNDP. (2010). Human development report.