2026-10-10T21:18:58Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33866846 2026-09-16T17:43:36Z category_15 category_45 category_734 category_106 category_122 category_132 portal_5 item_type_3 month_year_09_2026

<p>Descriptive analysis of variables.</p> Jiawei Wang (158148) Xia Kuang (12874700) Hui Yang (91136) Wenmei Liao (20715526) Hailan Qiu (18165504) Neuroscience Sociology Biological Sciences not elsewhere classified Science Policy Mental Health Infectious Diseases xlink "> using strengthens individual capabilities rural revitalization talent future policy design enhance policy precision endogenous switching probit 002 ), suggesting 8 percentage points repeated social engagement one university student correspondence education yields bonding social capital 8 versus 5 8 versus 10 project </ p social capital stronger social social networks systematic education one village distance education human capital younger farmers training modalities target participants survey data study employs results show promoting effect potential role matching mechanisms male farmers level cities jointly consider jiangxi province group heterogeneity findings reveal estimated effects dual effects also facilitates 552 farmers &# 8216 <div><p>Using the One Village, One University Student (OVOUS) project as an example and drawing on survey data from 2,552 farmers in 12 counties (county-level cities/districts) in Jiangxi Province, China, this study employs an endogenous switching probit (ESP) model to empirically examine whether participation in rural revitalization talent-training programs enhances farmers’ social capital. The results show that: (1) participation significantly increases farmers’ bonding social capital by 6.8 percentage points (ATT = 0.068, SE = 0.002), suggesting that systematic education not only strengthens individual capabilities but also facilitates the expansion of social networks; (2) correspondence education yields a stronger social-capital-promoting effect than distance education, with estimated effects of 8.1 and 5.8 percentage points, respectively, highlighting the potential role of face-to-face interaction and repeated social engagement in enhancing farmers’ bonding social capital; and (3) older farmers experience slightly larger gains in bonding social capital than younger farmers (10.8 versus 10.5 percentage points), and female farmers experience substantially larger gains than male farmers (12.8 versus 5.1 percentage points), indicating stronger marginal returns among groups with relatively weaker social networks. Overall, the findings reveal that rural talent policies generate important spillover value by fostering social capital accumulation. This implies that future policy design should jointly consider the dual effects on human capital and social capital and, in light of group heterogeneity, improve the matching mechanisms between training modalities and target participants to enhance policy precision and overall effectiveness.</p></div> 2026-09-16T17:43:33Z Dataset Dataset 10.1371/journal.pone.0357662.t001 https://figshare.com/articles/dataset/_p_Descriptive_analysis_of_variables_p_/33866846 CC BY 4.0