Yulin Wang

Dr. Yulin Wang


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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YLYuying Liu
Yuying Liu
ZLZiqi Liu
Ziqi Liu
JLJingzheng Liu
Jingzheng Liu
LQling qiu
ling qiu
YWYulin Wang
Yulin Wang
XFXin-hong Fu
Xin-hong Fu
Agricultural cooperatives are effective facilitators of green production technology promotion. What is the role of social capital within agricultural cooperatives with the most competitive advantage in technology promotion? Using the survey data of 465 citrus-planting cooperative members in Sichuan Province, this study uses the IV-probit model and mediating effect model to analyze the impact role of social capital within agricultural cooperatives on its members’ adoption of integrated pest management (IPM) technology. The bootstrap method is also used to test the robustness of the parameter estimates. The results show that: (1) the social capital within agricultural cooperatives has a significant positive impact on IPM adoption; (2) cooperative members’ IPM cognition has a partial mediating effect on the impact of the social capital within agricultural cooperatives on its members’ adoption of IPM technology (more than 51.37%). Therefore, among all the optional IPM technology promotion measures of cooperatives, multi-dimensional accumulation of the social capital within agricultural cooperatives and promotion of IPM technology awareness level of members is a viable path.

15 April 2025 in Land
Verified
Journal Article
Open access
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ZYZhou Yuzhe
Zhou Yuzhe
ZWZehui Wang
Zehui Wang
WWWei Wang
Wei Wang
YWYulin Wang
Yulin Wang
In the context of the implementation of the rural revitalization strategy in China, returning rural migrant workers are bound to have a certain impact on the rural economy, and land is a very important factor in the agricultural economy. Using data from the 2018 China Labor Dynamic Survey (CLDS), this study examines how migrant workers’ return behaviors influence farmland transfer-in. To address potential endogeneity, the analysis employs the Probit model, instrumental variable methods, and propensity score matching. The findings reveal that returning migrant workers significantly promote farmland transfer-in. Households with returning migrant workers exhibit stronger demands for land transfer-in and tend to operate farmland on a larger scale. Furthermore, returning migrant workers drive farmland expansion through mechanization labor substitution, enhanced access to agricultural loans, and reduced non-farm participation. Additionally, returning migrant workers who are highly educated and younger play a particularly influential role, underscoring the heterogeneous impacts across different migrant groups. This study provides empirical evidence for rural revitalization policies in China by systematically analyzing the effect of returning migrant workers in promoting land transfer-in and the path of influence on farmland scale.