Does access to credit matter in land transfer decision-making? Evidence from China

Yu, Xi; Su, Qin; Lyu, Jianxing

doi:10.3389/fenvs.2023.1111089

Cited by 4 publications

(2 citation statements)

References 50 publications

(81 reference statements)

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“…Enhanced financial literacy aids farmers in tapping into financial markets [42], utilizing diverse digital financial products to meet the financial aspects of land acquisition [19,43]. Consequently, the application of digital technology is instrumental in raising farmers' credit access levels, thereby facilitating the acquisition of land for those seeking to scale their agricultural endeavors [44,45]. Thus, hypothesis H3 was proposed:…”

Section: Digital Technology Use Credit Accessibility and Land Transfe...mentioning

confidence: 99%

The Impact of Digital Technology Use on Farmers’ Land Transfer-In: Empirical Evidence from Jiangsu, China

Zeng,

Chen,

Gao

2024

Agriculture

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In China, characterized by its vast population and limited land, expanding the scale of agricultural operations through the transfer of land management rights is a crucial pathway to achieving agricultural modernization. Using data from the China Land Economic Survey (CLES), we empirically explored the influence of digital technology use on land transfer-in by farmers. Employing the Probit model and the KHB method, this study examined the mechanisms underlying this relationship and addressed the issue of endogeneity through the Conditional Mixed Process (CMP) model, grounded in the instrumental variable method. Key findings include: (1) both the accessibility and the depth of digital technology use significantly facilitated land transfer-in by farmers. For every one-unit increase in digital technology accessibility, the likelihood of land transfer-in escalated by 6.2%; similarly, a one-unit rise in the depth of digital technology use increased this probability by 2.6%. (2) An analysis of the mechanisms indicates that social networks and credit availability played partial mediating roles in the impact of digital technology accessibility and depth on land transfer-in, with social networks exhibiting a stronger mediation effect. (3) Heterogeneity analysis suggests that the impact of digital technology use on land transfer-in was more pronounced in peri-urban villages and among farmers with higher literacy levels. In light of these findings, we proposed policy recommendations to accelerate the development of rural digital infrastructure, enhance digital skill training for farm households, and vigorously promote rural digital inclusive finance.

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Section: Digital Technology Use Credit Accessibility and Land Transfe...mentioning

confidence: 99%

The Impact of Digital Technology Use on Farmers’ Land Transfer-In: Empirical Evidence from Jiangsu, China

Zeng,

Chen,

Gao

2024

Agriculture

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“…The area of rural land transferred reached 532 million mu in 2020, accounting for 34.08% of the total arable land under family contract [21]. Nevertheless, as rational economic persons, farmers will consider the family's capital as a whole before making land transfer decisions and will choose actions that are more beneficial to them, based on the richness of their labor, land, technology, and other livelihood capital [22][23][24]. The land transfer situation in China still suffers from a series of problems, such as small business scale, lack of motivation, etc.…”

Section: Introductionmentioning

confidence: 99%

Decision-Making Mechanism of Farmers in Land Transfer Processes Based on Sustainable Livelihood Analysis Framework: A Study in Rural China

Liu,

Zhang,

et al. 2024

Land

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The act of land transfer in rural areas is an important decision-making mechanism for farmers, to enhance resource allocation efficiency and promote capital mobility, and this act is of strategic importance in promoting the level of agricultural scale and mechanization, land system change, and, thus, the sustainable development of livelihoods and production in China. This study aims to explore farmers’ decision-making mechanisms in the process of land transfer in rural areas, by constructing a theoretical framework. Structural equation modeling was used, based on data from a survey of rural families in the Liaoning Province area of Northeastern China. The main findings are as follows: (1) The seven types of exogenous latent variables, including environmental vulnerability, policy, and five main livelihood assets (natural capital, physical capital, financial capital, human capital, and social capital), are intermediary in farmers’ land transfer behavior, which then positively affect farmers’ livelihood outcomes. (2) Among the exogenous latent variables affecting farmers’ land transfer, human assets have the most significant positive effect, followed by social assets and physical assets, family labor force share, frequency of work information exchange, and number of production tools, greatly affect the corresponding variable. (3) Natural assets play the most important role and have a negative effect on farmers’ land transfer decision; contracted area of land per family is the greatest impacted measurable variable of this. The results of the study suggest that the government should strengthen skills training for farmers, improve the land transfer policy system, and provide appropriate subsidies in a regionally targeted manner. Thus, it can promote the transformation of Chinese-style agricultural modernization and achieve rural revitalization.

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Does the Use of Digital Finance Affect Household Farmland Transfer-Out?

Lei

Qin

2023

Sustainability

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Digital finance offers opportunities for inclusive growth in rural areas. This study aims to clarify how digital financiers affect farmland transfer-out. Using the data from the China Household Finance Survey in 2015, this paper establishes Probit and Tobit models to empirically analyze the impact and mechanisms of digital finance on household farmland transfer-out. The study finds that digital financial use significantly increases the probability and proportion of farmland transfer-out and that this effect is greater among households with older heads and lower household per capita income and financial accessibility, suggesting that digital finance has an important role to play in reducing inequality and promoting inclusive growth. Further analysis reveals that off-farm employment and information channels are mediating mechanisms through which digital finance facilitates farmland transfer. Specifically, on the one hand, the financial function of digital finance increases the share of employment and entrepreneurship among rural households. In terms of industry and skill type, digital finance promotes the entry of farmers into tertiary employment, facilitates off-farm employment for low and medium-skilled farmers, and has no impact on the employment of high-skilled farmers. On the other hand, the information function accompanying digital finance broadens households’ access to information, both of which have a favorable effect on farmland transfer-out. This study provides new ideas for supporting agricultural land transfer from a digital finance perspective.

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Does access to credit matter in land transfer decision-making? Evidence from China

Cited by 4 publications

References 50 publications

The Impact of Digital Technology Use on Farmers’ Land Transfer-In: Empirical Evidence from Jiangsu, China

The Impact of Digital Technology Use on Farmers’ Land Transfer-In: Empirical Evidence from Jiangsu, China

Decision-Making Mechanism of Farmers in Land Transfer Processes Based on Sustainable Livelihood Analysis Framework: A Study in Rural China

Does the Use of Digital Finance Affect Household Farmland Transfer-Out?

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