Forging new pathways: How farmland abandonment affects decision-making of non-grain production - Insight from China's mountainous areas
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View abstract on PubMed
Summary
This summary is machine-generated.Farmland abandonment in China encourages grain crop cultivation on remaining land, not non-grain crops. This shift impacts rural household decisions and food security strategies.
Area Of Science
- Agricultural Economics
- Rural Sociology
- Food Security Studies
Background
- China faces concerns regarding grain security due to a shift towards non-grain crops in rural areas.
- Farmland abandonment by rural households influences crop growth decisions, a relationship previously under-researched.
- Existing studies have not sufficiently explored the link between farmland abandonment and household crop choices.
Purpose Of The Study
- To investigate the impact of farmland abandonment on rural households' decisions regarding grain versus non-grain crop cultivation.
- To develop a theoretical framework integrating land, labor, and capital in farmland allocation and crop choice.
- To provide empirical evidence on how farmland abandonment affects crop structure in China's mountainous regions.
Main Methods
- Utilized unique survey data from 2448 rural households in China's mountainous areas.
- Employed an endogenous switching regression model for robust empirical estimation.
- Analyzed the influence of factors like per capita farmland area, land transfer, and agricultural services.
Main Results
- Farmland abandonment significantly promoted the cultivation of grain crops on remaining land.
- Without abandonment, non-grain crop acreage would have potentially increased by 16.4%.
- Abandonment's effect on non-grain production is mediated by agricultural labor force adjustments.
Conclusions
- Farmland abandonment in mountainous areas steers rural households towards grain production, impacting food security.
- Policies must balance farmland restoration with preventing excessive non-grain crop expansion.
- Enhancing agricultural mechanization is crucial for managing these dynamics effectively.
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