Carbon reduction effect of digital finance in China: based on household micro data and input-output model

还原(数学) 经济 中国 碳纤维 计量经济学 计算机科学 数学 算法 几何学 复合数 政治学 法学
作者
Yongbin Lv,Ying Jia,Chenying Sang,Xianming Sun
出处
期刊:China Finance Review International [Emerald (MCB UP)]
标识
DOI:10.1108/cfri-03-2024-0083
摘要

Purpose This study investigates the causal relationship and mechanisms between the development of digital finance and household carbon emissions. Its objective is to explore how digital finance can influence the carbon footprint at the household level, aiming to contribute to the broader understanding of financial innovations' environmental impacts. Design/methodology/approach The research combines macro and micro data, employing input-output analysis to utilize data from the China Household Finance Survey (CHFS) for the years 2013, 2015, 2017, and 2019, national input-output tables, and Energy Statistical Yearbooks. This approach calculated CO2 emissions at the household level, including the growth rate of household carbon emissions and per capita emissions. It further integrates the Peking University Digital Financial Inclusion Index of China (PKU-DFIIC) for 2012–2018 and corresponding urban economic data, resulting in panel data for 7,191 households across 151 cities over four years. A fixed effects model was employed to examine the impact of digital finance development on household carbon emissions. Findings The findings reveal that digital finance significantly lowers household carbon emissions. Further investigation shows that digital transformation, consumption structure upgrades, and improved household financial literacy enhance the restraining effect of digital finance on carbon emissions. Heterogeneity analysis indicates that this mitigating effect is more pronounced in households during the nurturing phase, those using convenient payment methods, small-scale, and urban households. Sub-index tests suggest that the broadening coverage and deepening usage of digital finance primarily drive its impact on reducing household carbon emissions. Practical implications The paper recommends that China should continue to strengthen the layout of digital infrastructure, leverage the advantages of digital finance, promote digital financial education, and facilitate household-level carbon emission management to support the achievement of China's dual carbon goals. Originality/value The originality of this paper lies in its detailed examination of the carbon reduction effects of digital finance at the micro (household) level. Unlike previous studies on carbon emissions that focused on absolute emissions, this research investigates the marginal impact of digital finance on relative increases in emissions. This method provides a robust assessment of the net effects of digital finance and offers a novel perspective for examining household carbon reduction measures. The study underscores the importance of considering heterogeneity when formulating targeted policies for households with different characteristics.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
祺王862完成签到,获得积分10
1秒前
整齐凌萱发布了新的文献求助10
1秒前
2秒前
2秒前
惜名发布了新的文献求助10
2秒前
3秒前
3秒前
3秒前
霜月冰发布了新的文献求助10
3秒前
sunrase发布了新的文献求助10
4秒前
GU发布了新的文献求助10
4秒前
4秒前
浅梳雨发布了新的文献求助10
5秒前
羊羊发布了新的文献求助20
6秒前
xq完成签到 ,获得积分10
7秒前
7秒前
8秒前
8秒前
调研昵称发布了新的文献求助10
10秒前
shane发布了新的文献求助10
11秒前
秀丽的正豪完成签到,获得积分10
11秒前
13秒前
研究发布了新的文献求助20
13秒前
keepmoving_12完成签到 ,获得积分10
13秒前
七十三度完成签到,获得积分10
14秒前
小龙完成签到,获得积分10
14秒前
朝朝完成签到,获得积分10
15秒前
在水一方应助随便活着采纳,获得10
16秒前
zwh发布了新的文献求助20
16秒前
李健的粉丝团团长应助rush采纳,获得10
16秒前
漠之梦发布了新的文献求助10
17秒前
18秒前
CodeCraft应助sunrase采纳,获得10
18秒前
18秒前
18秒前
dear发布了新的文献求助10
19秒前
21秒前
Cain发布了新的文献求助10
22秒前
22秒前
高分求助中
Sustainability in Tides Chemistry 2800
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Very-high-order BVD Schemes Using β-variable THINC Method 568
Chen Hansheng: China’s Last Romantic Revolutionary 500
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3138914
求助须知:如何正确求助?哪些是违规求助? 2789858
关于积分的说明 7792896
捐赠科研通 2446244
什么是DOI,文献DOI怎么找? 1301004
科研通“疑难数据库(出版商)”最低求助积分说明 626066
版权声明 601079