Kun Song

Prof. Dr. Kun Song

Sichuan Agricultural University, Chengdu, Sichuan, China
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 November 2022 in Agriculture
Verified
Journal Article
Open access
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KSKun Song
Kun Song
YTYu Tang
Yu Tang
DZDungang ZANG
Dungang ZANG
HGHua Guo
Hua Guo
WKWenting Kong
Wenting Kong
The inclusiveness of digital finance brings new opportunities for the development of agriculture, rural areas, and farmers. The purpose of this paper is to clarify how digital finance influences relatively large-scale farmers’ agricultural income. Based on survey data from rural China, this paper systematically investigates the impact of digital finance on relatively large-scale farmers’ agricultural income using the Multiple Intermediary Effect Model. The findings of this study reveal that digital finance has a substantial positive influence on relatively large-scale farmers’ agricultural income, and this effect still exists after considering endogeneity and a series of robustness tests. Further mechanism analyses suggest that agricultural capital, agricultural land, and agricultural workforce play a partial mediating role between digital finance and agricultural income. The development of digital finance has a positive impact on improving agricultural capital investment and land transfer, while it has a negative impact on agricultural workforce. Moreover, the results of the grouping estimation show that digital finance has more significant effects on agricultural income for economic crops and farmers who received agricultural skills training and agricultural services. These results provide a micro explanation to promote relatively large-scale farmers’ agricultural income with the accelerated popularization of digital finance, urgently needed for most emerging countries seeking high-quality rural development.

18 March 2023 in Agriculture
Verified
Journal Article
Open access
PDF file
HXHuidan Xu
Huidan Xu
KSKun Song
Kun Song
YLYichao Li
Yichao Li
Martinson Ankrah TwumasiMartinson Ankrah Twumasi
Martinson Ankrah Twumasi
Improving the income of rural residents is a requirement for poverty alleviation in all countries. Based on China Land Economic Survey (CLES) 2021 data, this paper investigates the homogenous and heterogeneous relations between financial literacy and the income structure of rural farm households. It finds that financial literacy is significantly related to farmers’ income levels, which still holds after the robustness testing. Regarding the structure of household income, financial literacy has a more profound association with farmers’ property income than wage income. Moreover, it has a relatively weak impact on transfer income with significance. Financial literacy has a more significant role in increasing the income of farmers with higher income levels than lower income levels. Moreover, it has different impacts on the income structure of different income groups. Therefore, this paper suggests that the government should co-operate with county-seated financial institutions to provide farmers with regular financial literacy education.
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