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<p>We conducted a comprehensive analysis of the impact of social capital (SC) and off-farm employment on the livelihoods of Chinese farmers. The objective was to dissect the intricate dynamics between livelihood capital, strategy, and income, shedding light on the vulnerability index of farmers' livelihoods. This attempt hinges on examining 2018 micro-cross-sectional data obtained from the China Family Panel Studies (CFPS) as a delegate sample, allowing for a contemporary and robust analysis. A distinctive facet of our study lies in its innovative approach that harnesses Ordinary Least Squares (OLS) and Propensity Score Matching (PSM) regression models to assess the impact of non-agricultural employment (NAE) and SC on the risk of farmers' livelihoods becoming unstable. NAE emerges as a potent factor in diminishing the vulnerability of livelihoods, but regional disparities manifest prominently. The eastern region is the most transformative, dwarfing the central and western regions in livelihood security enhancement. Intriguingly, SC emerges as a linchpin in bolstering the resilience of livelihoods. It directly mitigates vulnerability while concurrently acting as a catalyst for NAE opportunities. This dual-pronged role underscores the pivotal significance of SC networks in farmers' livelihood strategies.</p>

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Enhancing Chinese Farmers’ Livelihoods: The Role of Non-Agricultural Employment and Social Capital

  • 期刊论文

  • 发表日期：

    2025年2月1日

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  • Yunhui Zhang,
  • Wei Zhao

摘要

We conducted a comprehensive analysis of the impact of social capital (SC) and off-farm employment on the livelihoods of Chinese farmers. The objective was to dissect the intricate dynamics between livelihood capital, strategy, and income, shedding light on the vulnerability index of farmers' livelihoods. This attempt hinges on examining 2018 micro-cross-sectional data obtained from the China Family Panel Studies (CFPS) as a delegate sample, allowing for a contemporary and robust analysis. A distinctive facet of our study lies in its innovative approach that harnesses Ordinary Least Squares (OLS) and Propensity Score Matching (PSM) regression models to assess the impact of non-agricultural employment (NAE) and SC on the risk of farmers' livelihoods becoming unstable. NAE emerges as a potent factor in diminishing the vulnerability of livelihoods, but regional disparities manifest prominently. The eastern region is the most transformative, dwarfing the central and western regions in livelihood security enhancement. Intriguingly, SC emerges as a linchpin in bolstering the resilience of livelihoods. It directly mitigates vulnerability while concurrently acting as a catalyst for NAE opportunities. This dual-pronged role underscores the pivotal significance of SC networks in farmers' livelihood strategies.