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FinTech and Inclusive Green Growth: A Causal Inference Based on Double Machine Learning

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  • Binhong Wu

    (School of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Yuting Ding

    (School of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Bangsheng Xie

    (School of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    School of Xi Jinping Ecological Civilization, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Yu Zhang

    (School of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

Abstract

Based on city-level data from 287 Chinese prefecture-level administrative units spanning 2011 to 2021, this study employs text analysis to quantify FinTech development and applies a double machine learning model to empirically assess the impact of FinTech on Inclusive Green Growth, along with its underlying mechanisms. The key findings are as follows: (1) FinTech significantly promotes Inclusive Green Growth, particularly in the areas of payment systems, lending and capital raising, and investment management. This conclusion holds across a range of robustness checks, including alternative measurement indicators, different machine learning models, and tests for endogeneity. (2) Mechanism analysis demonstrates that FinTech drives Inclusive Green Growth by fostering financial employment, expanding financial supply, and facilitating green technological innovation. (3) Heterogeneity analysis reveals that while China still faces elements of the resource curse, the positive impact of FinTech on Inclusive Green Growth is more pronounced in regions with higher levels of digital infrastructure, environmental regulation, and green finance. These findings provide valuable insights into leveraging FinTech’s potential to support China’s high-quality economic development.

Suggested Citation

  • Binhong Wu & Yuting Ding & Bangsheng Xie & Yu Zhang, 2024. "FinTech and Inclusive Green Growth: A Causal Inference Based on Double Machine Learning," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9989-:d:1522008
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    References listed on IDEAS

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    1. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018. "Double/debiased machine learning for treatment and structural parameters," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
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