Digital finance catalyzes household carbon reduction in China
Shanghai Jiao Tong University Journal Center
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
25-Jun-2025
Emissions trading and the cost of equity:
Evidence from high-carbon firms in China
image:
We replace the primary independent variable Pilot with five dummy variables: pre_3, pre_2, pre_1, current, andpost_1. If it is three years, two years, or one year before, the same year as, or one year after the enactment of ETS in firm i’s province, the corresponding variable is as signed a value of one. Otherwise, it takes the value zero.
view moreCredit: Weidong Xu, Xinyu Liu and Danyu Zhu (Zhejiang University, China).
Background and Motivation
With climate change intensifying global demands for carbon reduction, market-based instruments like the Emissions Trading System (ETS) have become essential for countries seeking to balance economic growth with environmental responsibility. China, aiming for a low-carbon transition, launched ETS pilots in multiple regions beginning in 2013, eventually forming the world’s largest carbon market. However, the specific impact of these pilots on the cost of equity for high-carbon firms—and the roles played by regional economic development and firm characteristics—remains underexplored. China Finance Review International (CFRI) brings you a new article titled “Carbon emissions trading system and the cost of equity for high-carbon firms”, which systematically investigates this critical policy issue.
Methodology and Scope
This study exploits the staggered rollout of ETS pilots in China’s diverse regions, treating the policy as a quasi-natural experiment. Using a difference-in-differences (DiD) approach, the authors analyse a panel of A-share listed high-carbon firms across various industries (e.g., petrochemicals, power, aviation) from 2009 to 2018. The main variable of interest is the cost of equity, calculated via the CAPM model, while controls include firm and regional characteristics. Robustness checks employ alternative specifications, matching techniques, and subsample analyses to ensure the reliability of findings.
Key Findings and Contributions
- For Policymakers: Provide targeted support and incentives to non-state-owned and financially constrained high-carbon firms to help them adapt to ETS compliance. Design regionally tailored carbon trading policies that reflect local governance capacity and economic conditions, avoiding a one-size-fits-all approach. Encourage reforms that improve firms’ cash flow management, reduce distress risk, and stabilise stock prices to help high-carbon enterprises control their cost of equity.
- For Banks and Financial Institutions: Refine risk assessment models to account for increased equity financing risks among high-carbon firms after ETS implementation, especially for private and financially vulnerable enterprises. Develop innovative financing instruments, such as green bonds or blended finance products, to facilitate low-carbon transformation and ease the capital burden for affected firms.
- For Investors: Adjust equity portfolios by leveraging ETS-related risk assessments, focusing on firm ownership structure, financial constraints, and exposure to regional policy regimes to make more informed investment decisions.
- For Researchers: Extend the use of this study’s methodology and findings to further investigate the links between environmental regulation, financial markets, and corporate transformation, particularly in emerging markets undergoing low-carbon transitions.
Why It Matters
The study provides direct evidence that ETS, while advancing environmental goals, increases financing pressures for high-carbon firms, particularly those that are privately owned or financially constrained. This dynamic could hinder their green transition and overall competitiveness. For China—and other nations using emissions trading as a policy tool—the findings highlight the importance of tailoring regulatory and financial support to firm- and region-specific contexts to ensure that climate policy is both environmentally and economically sustainable.
Practical Applications
- Raise equity financing costs for high-carbon firms: China’s ETS leads to a significant increase—about 0.3 percentage points—in the cost of equity for high-carbon firms compared to those outside pilot regions.
- Intensify financial and operational risks: ETS compliance forces high-carbon firms to spend more on carbon quotas and emission reduction, resulting in greater operational uncertainty, heightened financial distress, and increased volatility in stock returns. This drives investors to demand higher risk premiums.
- Highlight the vulnerability and resilience across firm types: Non-state-owned and financially constrained enterprises experience more pronounced cost pressures, while firms with strong institutional or state ownership manage increased financing costs better due to superior resource access and support.
- Amplify policy impact through local institutional quality: The effect of ETS is stronger in regions with robust governance, advanced urbanisation, and larger market size, emphasising the importance of local institutional context in shaping policy outcomes.
- Broaden understanding of environmental regulation’s financial influence: The research reveals how market-based environmental policy transforms corporate financing conditions and risk in China’s transition to a low-carbon economy.
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
Method of Research
News article
Article Title
Carbon emissions trading system and the cost of equity for high-carbon firms
Article Publication Date
25-Jun-2025
How has agricultural carbon emissions in Fujian evolved over 20 years?
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view moreCredit: Weiye LI, Zhiqiang CHEN , Zhibiao CHEN, Yuee ZENG, Wenjing HU
Against the backdrop of global warming, agricultural activities represent one of the main sources of greenhouse gas emissions, accounting for approximately 9%–14% of global total emissions. The changing patterns and influencing factors of agricultural carbon emissions (ACE) are not only critical to the carbon balance of agricultural ecosystems but also serve as a key basis for formulating carbon reduction policies and promoting sustainable agricultural development. As a province with a dynamic economy along China’s southeastern coast and more than 80% mountainous terrain, Fujian has limited cultivated land resources but high dependence on material inputs for agricultural production. What unique spatial-temporal evolution patterns characterize its agricultural carbon emissions? How can carbon reduction goals be achieved while ensuring food security and agricultural development?
Professor Zhiqiang Chen from Fujian Normal University and colleagues provide a scientific answer to these questions through a study covering 2002–2022. The relevant paper has been published in Frontiers of Agricultural Science and Engineering (DOI: 10.15302/J-FASE-2024594).
This study employs the internationally recognized IPCC carbon emission calculation framework, combines the Logarithmic Mean Divisia Index (LMDI) model to decompose driving factors, uses the Tapio decoupling model to analyze the relationship between emissions and economic development, and introduces the GM (1,1) grey model to predict future trends, revealing the dynamic characteristics of Fujian’s agricultural carbon emissions from multiple dimensions.
The study shows that agricultural carbon emissions in Fujian exhibited a “double decline” trend from 2002 to 2022: total emissions fluctuated downward from approximately 17.82 million tons in 2002 to about 14.62 million tons in 2022, a cumulative reduction of 3.22 million tons with an annual average decline of 0.9%; carbon emission intensity plummeted from 2.68 tons/10,000 yuan to 0.47 tons/10,000 yuan, a decrease of 82.46% with an annual average decline of 4.12%. This change is closely related to Fujian’s implementation of the “one control, two reductions, three basics” policy and the promotion of ecological agriculture.
In terms of emission structure, agricultural material inputs constitute the largest carbon source, accounting for 40% annually on average; farmland utilization and livestock breeding follow, accounting for 34.1% and 25.9%, respectively. Specifically, fertilizer use contributes 56.3% of emissions from agricultural material inputs, late rice cultivation accounts for 76.9% of farmland utilization emissions, and pig farming represents 60.6% of livestock emissions—these key links provide clear directions for targeted carbon reduction.
Spatially, agricultural carbon emissions in Fujian exhibit a “higher in the west, lower in the east” pattern. In 2002, Zhangzhou, with its abundant cultivated land and large-scale traditional agriculture, was the only high-emission region; by 2012, Nanping, Sanming, and Longyan in the west became new high-emission hubs due to fragmented farmland, greater reliance on material inputs such as fertilizers, and concentrated large-scale livestock farming; by 2022, while this pattern persisted, emissions in major western cities decreased by 11%, 5.2%, 24.6%, and 19% compared to 2012, accounting for 70% of the province’s total emissions, indicating that green agricultural policies are gradually taking effect. Economically developed regions in the east, such as Fuzhou and Xiamen, have significantly lower emissions due to limited cultivated land and high agricultural modernization levels.
Further decomposition of driving factors reveals that improvements in agricultural production efficiency are the core driver of emission reduction—through agricultural mechanization, application of green technologies, and large-scale operations, material consumption per unit output has decreased, contributing 56.3% of the emission reduction. Additionally, the proportion of rural population declined from 54.3% in 2002 to 29.9% in 2022, and the share of agricultural output in regional GDP dropped from 25.2% to 10.4%, with industrial structure optimization also aiding emission reduction. However, regional economic growth and urbanization have become major pressure sources for increased emissions.
Notably, agricultural carbon emissions in Fujian have achieved a “strong decoupling” from economic growth: from 2002 to 2022, agricultural output value grew at an annual average of 7%, while carbon emissions declined by 2.3% annually, showing a benign “one increase, one decrease” relationship. Projections indicate that if current trends continue, Fujian’s agricultural carbon emissions will decrease by 7.1%–20.5% by 2030 compared to 2022, and by 15.2%–40.5% by 2040, demonstrating significant carbon reduction potential.
The study suggests that future measures such as promoting organic fertilizers, optimizing rice planting patterns, and improving the resource utilization rate of livestock manure can further reduce emissions from agricultural material inputs, farmland, and breeding links; formulating zonal carbon reduction strategies targeting east-west differences will also facilitate the province’s agricultural green transition.
Journal
Frontiers of Agricultural Science and Engineering
Method of Research
Experimental study
Subject of Research
Not applicable
Article Title
Temporal and spatial evolution of agricultural carbon emissions in Fujian Province, China
