ArticleEnvironmental science and pollution research international2024
Do large-scale agricultural entities achieve higher livelihood levels and better environmental outcomes than small households? Evidence from rural China.
Article in Environmental science and pollution research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 6 citations in OpenAlex.
- A Comprehensive Evaluation of Consumer Trends and the Bioactive Content of Extra Virgin Olive Oil: Comparative Insights into Trademarked and Local Products.Foods (Basel, Switzerland) · 2025Article
- Spatio-temporal modality and influencing factors of agribusiness survival of underdeveloped areas after the effort of reducing poverty at large scale.Scientific reports · 2025Article
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7 authors at 2 institutions in 1 country.
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Abstract
There is an ongoing debate about the type or scale of agriculture that should be most encouraged. This study explores the differences in livelihood levels and outcomes between new agricultural business entities (NABEs) and traditional small households. We applied the analytical tools of a sustainable livelihood framework and a multiple linear regression model to describe the determinants of livelihood outcomes of 105 NABEs and 119 traditional small households in two typical areas around the Sichuan Basin in China. The results show that the overall livelihood level of NABEs is 1.40 times higher than traditional small households. NABEs with a mixed livelihood strategy of both planting and breeding have the highest livelihood level, followed by planting NABEs and breeding NABEs. About 3.13% of all agricultural entities are at risk of falling into poverty; the greater risk levels are associated with the subsidized households (30.00%), pure farmers (12.50%), and part-time farming households (1.69%). NABEs in the study area are verified to use 2.06 times more pesticide and herbicide inputs compared to traditional small households. Education level, technical training, financial accessibility, and the connection with professional cooperatives are common factors influencing the livelihood levels of the two groups of agricultural entities. Livelihood levels of NABEs are also significantly influenced by the age of NABE leaders, planting area per capita, and agricultural insurance. Based on these results, the study proposes policy interventions that are most appropriate for achieving higher livelihood levels among both NABEs and small households. Although the mixed type of NABEs and non-farming households are recognized as being better agricultural entity types for poverty alleviation, we recommend a balance between fostering NABEs and maintaining traditional small households; guidance related to green agriculture production for NABEs is also urgently needed.
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