ORIGINAL RESEARCH
The Impact of Digital Inclusive Finance on Agricultural Carbon Emissions: Evidence from China
,
 
,
 
,
 
,
 
,
 
,
 
Scopus logo
 
 
 
More details
Hide details
1
School of Business, Jiangsu Ocean University, Lianyungang, China
 
2
Graduate Business School, UCSI University, Kuala Lumpur, Malaysia
 
3
School of Management, Shanghai University of Engineering Science, Shanghai, China
 
 
Submission date: 2024-01-07
 
 
Final revision date: 2024-04-05
 
 
Acceptance date: 2024-04-14
 
 
Online publication date: 2024-09-18
 
 
Publication date: 2025-01-09
 
 
Corresponding author
Bing He   

School of Business, Jiangsu Ocean University, Lianyungang, China
 
 
Pol. J. Environ. Stud. 2025;34(2):1593-1605
 
KEYWORDS
TOPICS
ABSTRACT
As an important financial instrument, digital inclusive finance (DIF) represents a significant pathway toward achieving sustainable development. Utilizing the fixed-effects, mediation effects, moderation effects, and threshold effects models, this study investigates the influence and detailed mechanism of DIF on agricultural carbon emissions through provincial data in China from 2011 to 2020. The results reveal that: (1) DIF leads to a reduction in agricultural carbon emissions, with the greatest effect observed in the dimension of deep agricultural carbon reduction. (2) The carbon reduction effect can be achieved by enhancing entrepreneurial vitality among farmers, an advanced agricultural industrial structure, and increased levels of agricultural product trade. (3) There is a substitution effect, where large-scale farmland operations weaken the carbon reduction effect. (4) Beyond a certain threshold, DIF exerts a stronger restraining effect on carbon emissions. The conclusions have implications for the government’s promotion of digital infrastructure and green development in the agriculture industry. Consequently, this study suggests that the development of DIF should be accelerated.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (32)
1.
ADEBAYO T.S., ÖZKAN O., EWEADE B.S. Do energy efficiency R\&D investments and information and communication technologies promote environmental sustainability in Sweden? A quantile-on-quantile KRLS investigation. *Journal of Cleaner Production*, 440, 140832, 2024. <https://doi.org/10.1016/j.jcle...>.
 
2.
AKRAM R., IBRAHIM R.L., WANG Z., ADEBAYO T.S., IRFAN M. Neutralizing the surging emissions amidst natural resource dependence, eco-innovation, and green energy in G7 countries: Insights for global environmental sustainability. *Journal of Environmental Management*, 344, 118560, 2023. <https://doi.org/10.1016/j.jenv...> PMid:37423021.
 
3.
HUANG S.J. Digital finance development and household leverage in China: evidence from the CFPS. *World Scientific Research Journal*, 7(2), 103, 2021.
 
4.
JOHNSON J., FRANZLUEBBERS A., WEYERS S., REICOSKY D. Agricultural opportunities to mitigate greenhouse gas emissions. *Environmental Pollution*, 150, 107, 2007. <https://doi.org/10.1016/j.envp...> PMid:17706849.
 
5.
WU D., ZHANG Z.W., LIU D., ZHANG L.L., LI M., KHAN M.I., LI X., CUI S. Calculation and analysis of agricultural carbon emission efficiency considering water‑energy‑food pressure: Modeling and application. *Science of The Total Environment*, 907, 167819, 2023. <https://doi.org/10.1016/j.scit...> PMid:37852487.
 
6.
LI S., WANG Z. Time, Spatial and Component Characteristics of Agricultural Carbon Emissions of China. *Agriculture*, 13, 214, 2023. <https://doi.org/10.3390/agricu...>.
 
7.
HAN H.B., ZHONG Z.Q., GUO Y., XI F., LIU S.L. Coupling and decoupling effects of agricultural carbon emissions in China and their driving factors. *Environmental Science and Pollution Research*, 25, 25280, 2018. <https://doi.org/10.1007/s11356...> PMid:29946837.
 
8.
ZHAO R., LIU Y., TIAN M., DING M., CAO L., ZHANG Z., CHUAI X., XIAO L., YAO L. Impacts of water and land resources exploitation on agricultural carbon emissions: The water‑land‑energy‑carbon nexus. *Land Use Policy*, 72, 480, 2018. <https://doi.org/10.1016/j.land...>.
 
9.
WANG R., ZHANG Y., ZOU C. How does agricultural specialization affect carbon emissions in China? *Journal of Cleaner Production*, 370, 133463, 2022. <https://doi.org/10.1016/j.jcle...>.
 
10.
ZHANG Z., TIAN Y., CHEN Y.H. Can agricultural credit subsidies affect county-level carbon intensity in China? *Sustainable Production and Consumption*, 38, 80, 2023. <https://doi.org/10.1016/j.spc....>.
 
11.
DU Y.Y., LIU H.B., HUANG H., LI X. The carbon emission reduction effect of agricultural policy—evidence from China. *Journal of Cleaner Production*, 406, 137005, 2023. <https://doi.org/10.1016/j.jcle...>.
 
12.
CHEN M. Research on threshold effect of digital inclusive finance and regional urban-rural income gap. *Frontier in Economics and Management*, 2(8), 255, 2021.
 
13.
FENG S.L., ZHANG R., LI G.X. Environmental decentralization, digital finance, and green technology innovation. *Structural Change and Economic Dynamics*, 61, 70, 2022. <https://doi.org/10.1016/j.stru...>.
 
14.
ZHONG K.Y. Does the digital finance revolution validate the Environmental Kuznets Curve? Empirical findings from China. *PLOS ONE*, 17(1), e0257498, 2022. <https://doi.org/10.1371/journa...> PMid:35025871 PMCid:PMC8758091.
 
15.
ZHANG M.L., LIU Y. Influence of digital finance and green technology innovation on China's carbon emission efficiency: empirical analysis based on spatial metrology. *Science of The Total Environment*, 838(10), 156463, 2022. <https://doi.org/10.1016/j.scit...> PMid:35660603.
 
16.
LIN H., ZHANG Z. The impacts of digital finance development on household income, consumption, and financial asset holding: an extreme value analysis of China's microdata. *Personal and Ubiquitous Computing*, 27, 1607, 2023. <https://doi.org/10.1007/s00779...> PMid:35103052 PMCid:PMC8791700.
 
17.
GAO Q., CHENG C., SUN G., LI J.F. The Impact of Digital Inclusive Finance on Agricultural Green Total Factor Productivity: Evidence from China. *Frontiers in Ecology and Evolution*, 10, 905644, 2022. <https://doi.org/10.3389/fevo.2...>.
 
18.
ZHANG W., HUANG M., SHEN P.C., LIU X.M. Can digital inclusive finance promote agricultural green development? *Environmental Science and Pollution Research*, 1, 2023. <https://doi.org/10.1007/s11356...>.
 
19.
GOMBER P., KOCH J.A., SIERING M. Digital Finance and FinTech: current research and future research directions. *Journal of Business Economics*, 87(5), 537, 2017. <https://doi.org/10.1007/s11573...>.
 
20.
CAO S., NIE L., SUN H.P., SUN W\.F., TAGHIZADEH‑HESARY F. Digital finance, green technological innovation, and energy‑environmental performance: Evidence from China's regional economies. *Journal of Cleaner Production*, 327, 129458, 2021. <https://doi.org/10.1016/j.jcle...>.
 
21.
BECK T., PAMUK H., RAMRATTAN R., URAS B.R. Payment Instruments, Finance and Development. *Journal of Development Economics*, 133, 162, 2018. <https://doi.org/10.1016/j.jdev...>.
 
22.
SOLEAS E. Environmental factors impacting the motivation to innovate: a systematic review. *Journal of Innovation Entrepreneurship*, 10(1), 17, 2021. <https://doi.org/10.1186/s13731...> PMid:34722106 PMCid:PMC8550196.
 
23.
LI Y., MA K. Research on the Path of Digital Inclusive Finance's Influence on Industrial Structure Upgrade. *ICEDBC 2021*, 77, 2021. <https://doi.org/10.2991/aebmr....>.
 
24.
LIN Y. Travel Costs and Urban Specialization Patterns: Evidence from China's High Speed Railway System. *Journal of Urban Economics*, 98(5), 98, 2016. <https://doi.org/10.1016/j.jue....>.
 
25.
ZHOU X., ZHANG J., LI J. Industrial Structural Transformation and Carbon Dioxide Emissions in China. *Energy Policy*, 57, 43, 2013. <https://doi.org/10.1016/j.enpo...>.
 
26.
YANG J. Does International Agricultural Trade Matter for Carbon Emissions? *IOP Conference Series: Earth and Environmental Science*, 310(5), 2019. <https://doi.org/10.1088/1755-1...>.
 
27.
GROSSMAN G., KRUEGER A.B. Environmental Impacts of a North American Free Trade Agreement. *C.E.P.R. Discussion Papers*, 1991. <https://doi.org/10.3386/w3914>.
 
28.
BONATO M. Realized correlations, betas, and volatility spillover in the agricultural commodity market: What has changed? *Journal of International Financial Markets, Institutions and Money*, 62, 184, 2019. <https://doi.org/10.1016/j.intf...>.
 
29.
WU Y.Y., XI X.C., TANG X., LUO D.M., GU B.J., LAM S.K., VITOUSEK P.M., CHEN D.L. Policy distortions, farm size, and the overuse of agricultural chemicals in China. *PNAS*, 115(27), 7010, 2018. <https://doi.org/10.1073/pnas.1...> PMid:29915067 PMCid:PMC6142251.
 
30.
ADEBAYO T.S., ÖZKAN O. Investigating the influence of socioeconomic conditions, renewable energy and eco‑innovation on environmental degradation in the United States: A wavelet quantile-based analysis. *Journal of Cleaner Production*, 434, 140321, 2024. <https://doi.org/10.1016/j.jcle...>.
 
31.
LIU X., ADEBAYO T.S., RAMZAN M., ULLAH S., ABBAS S., OLANREWAJU V.O. Do coal efficiency, climate policy uncertainty and green energy consumption promote environmental sustainability in the United States? *Journal of Cleaner Production*, 417, 137851, 2023. <https://doi.org/10.1016/j.jcle...>.
 
32.
ADEBAYO T.S., KARTAL M.T., ULLAH S. Role of hydroelectricity and natural gas consumption on environmental sustainability in the United States: Evidence from novel time‑frequency approaches. *Journal of Environmental Management*, 328, 116987, 2023. <https://doi.org/10.1016/j.jenv...> PMid:36549236.
 
eISSN:2083-5906
ISSN:1230-1485
Journals System - logo
Scroll to top