Background and Motivation
With global warming threatening sustainable economic development, reducing carbon emissions, especially from households—has become a top priority. China, home to the world’s largest population, has set ambitious “dual carbon” goals to peak CO2 emissions by 2030 and reach carbon neutrality by 2060. As digital finance integrates rapidly into everyday life through mobile payments, e-commerce, and online financial management, its potential environmental benefits are drawing increasing attention. Can digital finance meaningfully restrain the growth of household carbon emissions? China Finance Review International (CFRI) brings you a new article titled “Carbon reduction effect of digital finance in China: based on household micro data and input-output model”, which investigates how digital finance impacts carbon emissions at the household level.
Methodology and Scope
This study combines both macro and micro-level data. It employs input-output analysis using the China Household Finance Survey (CHFS) from 2013, 2015, 2017, and 2019, as well as national input-output tables and energy statistical yearbooks. The research links these data with the Peking University Digital Financial Inclusion Index (2012–2018) and city-level economic statistics, resulting in a panel of 7,191 households across 151 cities over four years. The authors estimate household CO2 emissions and use a fixed effects model to assess the causal relationship between digital finance development and household carbon emissions growth rates
Key Findings and Contributions
- Significant Carbon Reduction: Digital finance significantly inhibits the growth rate of household carbon emissions, with effects more pronounced in nurturing-phase, small-scale, urban households, and those using convenient payment methods.
- Mechanisms Identified: Digital transformation, upgraded consumption structure, and improved household financial literacy strengthen digital finance’s carbon-reducing effect.
- Sub-index Insights: The breadth of coverage and depth of digital finance usage are the main drivers for household carbon reduction.
- Robust Results: Findings remain consistent under multiple robustness checks and using instrumental variable approaches.
- Novelty: This study uniquely focuses on the marginal impact of digital finance on household carbon emission growth rates, rather than absolute emissions, and highlights important household-level heterogeneity
Why It Matters
This research provides robust empirical evidence that digital finance is a powerful, scalable tool to help households reduce their carbon footprints—an essential step toward China’s dual carbon goals and global sustainability. The findings highlight the value of expanding digital financial infrastructure, improving financial literacy, and tailoring low-carbon policies to different types of households, cities, and regions. As the world looks for effective, data-driven pathways to decarbonize, the Chinese experience offers valuable lessons for both developing and advanced economies.
Practical Applications
- For Policymakers: Invest in digital finance infrastructure nationwide, with special focus on rural and high-carbon areas. Enhance digital financial education to empower households to adopt greener practices. Design targeted, region-specific policies leveraging digital finance to manage and reduce household-level carbon emissions.
- For Financial Institutions and Fintech Companies: Develop and promote digital financial products that incentivize low-carbon behaviors, such as green credit and digital payments. Collaborate with local governments to embed digital finance in urban sustainability initiatives.
- For Researchers: Use advanced data and models to further explore heterogeneity in household carbon reduction, and extend research to other platforms and time frames.
- For Urban Planners and Smart City Developers: Use digital finance to encourage smart, sustainable living—e.g., digital payments for public transport, e-billing, or green investments.
Discover high-quality academic insights in finance from this article published in China Finance Review International. Click the DOI below to read the full-text original! Open access for a limited time!
Journal
China Finance Review International
Article Title
China Finance Review International
Article Publication Date
5-Jun-2025