Advances in Economics, Management and Political Sciences

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Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Series Vol. 63 , 28 December 2023


Open Access | Article

The Impact of Digital Inclusive Finance on Agricultural Carbon Emission Reduction ——Analysis Based on Panel Data of 54 Prefecture-Level City

Wang Qi * 1
1 Beijing Wuzi University

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 63, 53-70
Published 28 December 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Wang Qi. The Impact of Digital Inclusive Finance on Agricultural Carbon Emission Reduction ——Analysis Based on Panel Data of 54 Prefecture-Level City. AEMPS (2023) Vol. 63: 53-70. DOI: 10.54254/2754-1169/63/20231377.

Abstract

Based on the national ranking of the total agricultural output value, this paper selects Shandong, Henan, and Sichuan, which are in the top three, as the representatives of large agricultural provinces, and utilizing panel data from 54 prefecture-level cities throughout the three provinces for the years 2011 to 2020, this study thoroughly applies the fixed effect model, mediating effect model, and moderating effect model to examine the influence of digital inclusive finance on agricultural carbon emission reduction. The findings demonstrate that inclusive digital finance reduces agricultural carbon emissions favorably; the three sub-dimensions of the breadth of coverage, the depth of use, and the degree of digitization all have significant promoting effects on agricultural carbon emissions reduction, of which the breath of coverage has the most obvious effect; compared to the primary regions that produce grains, In non-primary grain-producing zones, the promotion effect of digital inclusive finance on agricultural carbon emission reduction is particularly significant. From the perspective of the mediating effect, agricultural decreases in carbon emissions can benefit from increased regional innovation thanks to digital inclusive funding; from the perspective of the moderating effect, the amount of urbanization is taken advantage of by digital inclusive finance to control the effects of crop reductions in carbon emissions.

Keywords

agricultural carbon emissions, the emission reduction effect, digital inclusive finance

References

1. Hu, Wan-Ling, Jin-Xin Zhang & Hong-Ling Wang. (2020). A study on the characteristics and influencing factors of agricultural carbon emissions in China. Statistics and Decision Making (05), 56-62.

2. Li, G.C. & Li, Z.S. (2010). Empirical analysis of decomposition of carbon emission factors in China's agricultural energy consumption - based on LMDI model. Agricultural Technology and Economics (10), 66-72.

3. Tian, Yun & Yin, Yvette. (2022). Re-measurement of agricultural carbon emissions in China: Basic status, dynamic evolution and spatial spillover effects. China Rural Economy (03), 104-127.

4. Liu, Qiong & Xiao, Haifeng. (2020). Impacts of farmland management scale and financial support policies on agricultural carbon emissions. Resource Science (06), 1063-1073.

5. Huang, Xiaohui, Yang, Fei & Lu, Qian. (2022). Urbanization, Spatial Spillover Effects and Agricultural Carbon Emissions - An Empirical Analysis Based on Provincial Panel Data from 2007-2019. East China Economic Management (04), 107-113.

6. Wu, Xianrong, Zhang, Junbiao, Cheng, Linlin & Tian, Yun. (2015). Agricultural Carbon Emission Reduction Potential and Its Spatial Association Characteristics in Chinese Provinces and Regions - A Spatial Durbin Model Based on Spatial Weighting Matrix. China Population-Resources and Environment (06),53-61.

7. Hu, C.Y. & Hu, H. (2015). Low-carbon agriculture: An inevitable choice in line with the law of agricultural development. Economic Issues Exploration (09), 169-172.

8. Min Jisheng & Hu Hao. (2012). Theoretical and empirical analysis of carbon emission reduction potential in agricultural production in Jiangsu Province. Science and Technology Progress and Countermeasures (08), 35-38.

9. Pan A. (2017). Research on the carbon emission reduction effect of China's agricultural trade. Journal of South China Agricultural University (Social Science Edition) (04),25-33.

10. Ma, Jiu-Jie & Cui, Heng-Yu. (2021). Carbon emission reduction in agricultural insurance development: effects and mechanisms. China Population-Resources and Environment (10), 79-89.

11. Chen, Yin'e & Chen, Wei. (2018). Research on the relationship between agricultural mechanization, industrial upgrading and agricultural carbon emissions - an empirical analysis based on dynamic panel data model. Agricultural Technology and Economics (05), 122-133.

12. Hui Xianbo. (2020). Research on poverty alleviation effect and consolidation of digital inclusive finance. Price Theory and Practice (03),115-118.

13. Tang, W.-J., Li, Shuang & Tao, Yunqing. (2019). Digital Inclusive Financial Development and Industrial Structure Upgrading - Empirical Evidence from 283 Cities. Journal of Guangdong University of Finance and Economics (06), 35-49.

14. Du Jinmin, Wei Shiwei & Wu Wenyang. (2020). Does digital inclusive finance promote industrial structure optimization? Comparison of Economic and Social Systems (06), 38-49.

15. Qin, Zhaohui & Pan, Yuchen. (2022). Analyzing the effect of digital inclusive finance in promoting the high-quality development of rural industries. Journal of South China Agricultural University (Social Science Edition) (05), 23-33.

16. Tian Geng.(2022).How Does Outward Foreign Direct Investment Affect Green Total Factor Productivity? Evidence from Increment and Quality Improvement. Sustainability (19).

17. Yang, Y., Wu, L. Y., Zhang, Q. J. & Wang, Y. F. (2022). The Impact of Digital Inclusive Finance on Green Growth in Agriculture--Analyzing the Moderating Role of Rural Human Capital Investment. Exploration of Economic Issues (06), 165-180.

18. He, Maobin & Yang, Xiaowei. (2021). Digital financial inclusion, carbon emissions and total factor productivity. Financial Forum (02), 18-25.

19. Guo, Guixia & Zhang, Yao. (2022). Research on the relationship between digital inclusive finance and carbon emission reduction. Price Theory and Practice (01), 135-138.

20. Xu, W.-X., Zhou, J.-P. & Liu, C.J. (2022). Spatial effects of digital economy development on urban carbon emissions. Geography Research (01), 111-129.

21. Wang, Shoukun & Fan, W. Cheng. (2022). Digital Inclusive Finance and Carbon Emission Reduction - An Empirical Analysis Based on County-Level Data in China. Contemporary Finance and Economics (11), 53-64.

22. Deng, Rongrong & Zhang, Aaoxiang. (2021). Impacts and mechanisms of digital financial development on carbon emission performance in Chinese cities. Resource Science (11), 2316-2330.

23. Cheng Qiuwang, Xu Anxin & Chen Qin. (2022). Realization Path of Agricultural Carbon Emission Reduction in the Context of "Dual Carbon" Targets: A Verification Based on Digital Financial Inclusion. Journal of Southwest University for Nationalities (Humanities and Social Sciences) (02), 115-126.

24. Shen, Yun & Hong, Cheng Cheng. (2023). Digital inclusive finance and agricultural green low-carbon development: level measurement and mechanism test. Financial Theory and Practice (01), 45-60.

25. Ding, Fanlin. (2022). The impact of digital financial inclusion on carbon intensity in China. Journal of Wuhan University (Philosophy and Social Science Edition) (06),110-120.

26. Wen, T. & Chen, Y. (2020). Integrated development of digital economy and agricultural and rural economy: practice mode, realistic obstacles and breakthrough path. Problems of Agricultural Economy (07), 118-129.

27. Zhang, S. (2021). Research on the impact of digital inclusive finance on regional innovation--an empirical analysis based on provincial panel data. Price Theory and Practice (11),134-137+198.

28. Zhang, Jin-Xin & Wang, Hong-Ling. (2020). Environmental regulation, agricultural technology innovation and agricultural carbon emissions. Journal of Hubei University (Philosophy and Social Science Edition) (04), 147-156.

29. Wang, J. & Zhao, K. (2020). A study on urbanization, aging, urban-rural gap and economic development in China - Based on a moderated mediated effects model. Contemporary Economic Management (07), 49-58.

30. Lu Yi-Heng, Tian Yun & Zhou Li-Li. Spatial and temporal evolution of agricultural carbon emissions in Sichuan Province and its influencing factors. Chinese Agricultural Resources and Zoning.

31. Huang, X. H., Yang, F. & Lu, Q... (2022). Urbanization, Spatial Spillover Effects and Agricultural Carbon Emissions - An Empirical Analysis Based on Provincial Panel Data from 2007-2019. East China Economic Management (04),107-113.

32. Shi, Chang-Liang, Eddie Li & Zhu, Jun-Feng. (2016). Labor Shift, Fertilizer Overuse and Surface Source Pollution. Journal of China Agricultural University (05), 169-180.

33. Wen, Zhonglin & Baojuan Ye. (2014). Mediation effects analysis: methods and modeling Advances in Developmental Psychological Science (05), 731-745.

34. Li, Bo, Zhang, Junbiao & Li, Haipeng. (2011). Spatial and temporal characteristics of agricultural carbon emissions in China and the decomposition of influencing factors. China Population-Resources and Environment (08), 80-86.

35. Guo F, Wang JY, Wang F, Kong T, Zhang X & Cheng ZY. (2020). Measuring the development of digital inclusive finance in China: indexing and spatial characterization. Economics (Quarterly) (04), 1401-1418.

36. Zhang, Ke. (2019). Interaction effects and spatial spillovers of economic agglomeration and regional innovation. Financial Research (05),96-114.

37. Ziyao Xu, Lisha Zhang & Yizhi Liu. (2020). Does digital inclusive finance enhance regional innovation capacity. Financial Science (11),17-28.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
ISBN (Print)
978-1-83558-227-5
ISBN (Online)
978-1-83558-228-2
Published Date
28 December 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/63/20231377
Copyright
28 December 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated