How Off‐farm Employment Affects Technical Efficiency of China's Farms: The Case of Jiangsu

Zhang, Linxiu; Su, Weiliang; Eriksson, Tor; Liu, Chengfang

doi:10.1111/cwe.12157

Cited by 26 publications

(28 citation statements)

References 45 publications

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“…Zhang et al. () also found that there is a positive significant effect of off‐farm employment on the level of farm technical efficiency in China.…”

Section: Literature Reviewmentioning

confidence: 94%

“…It includes all work regardless of whether the individual has migrated to a location outside his/her village or works in the local region and lives in his/her village (Wang et al., ). As indicated previously, a number of studies have made empirical contributions to understanding the role of off‐farm work participation and various outcomes of interest such as household income, food security, and rural poverty (see e.g., Chang & Mishra, ; Mishra et al., ; Owusu et al., ; Zhang et al., ).…”

Section: Literature Reviewmentioning

confidence: 96%

“…The socioeconomic and environmental impacts of off‐farm work have been widely analyzed in the empirical literature. In particular, a considerable number of studies has examined the impact of off‐farm work on farm productivity and efficiency, household income, poverty reduction, food expenditures, and food security (e.g., Chang & Mishra, ; Mishra, Mottaleb, & Mohanty, ; Owusu, Abdulai, & Abdul‐Rahman, ; Wang, Wang, & Pan, ; Zhang, Su, Eriksson, & Liu, ; Zhu & Luo, ). Most researchers have found modest positive impacts of off‐farm work on these outcomes.…”

Section: Introductionmentioning

confidence: 99%

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The effects of off‐farm work on fertilizer and pesticide expenditures in China

Abdulai

2017

Review Development Economics

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This study examines the effects of participation in off-farm work on farm expenditures on fertilizer and pesticide, using farm household survey data from China. Simple mean value comparisons reveal no statistically significant differences in fertilizer and pesticide expenditures between offfarm work participants and nonparticipants. However, econometric estimation with a treatment effects model shows a negative selection bias. After controlling for this bias, the empirical results show that participation in offfarm work exerts a positive and statistically significant impact on fertilizer and pesticide expenditures. Our findings generally suggest that the income effect of off-farm work stimulates agricultural production by increasing investments in productivity-enhancing inputs.

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“…Zhang et al. () also found that there is a positive significant effect of off‐farm employment on the level of farm technical efficiency in China.…”

Section: Literature Reviewmentioning

confidence: 94%

Section: Literature Reviewmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The effects of off‐farm work on fertilizer and pesticide expenditures in China

Abdulai

2017

Review Development Economics

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“…income, and may utilize these experiences in finding potential external buyers (Zhang et al, 2016). It is, thus, expected that non-agricultural working experiences (Non-Agri) may positively affect one's decision of to become a large-scale farmer.…”

Section: Methodsmentioning

confidence: 99%

What are the Determinants of Large‐scale Farming in China?

Xia

Xin

2017

China and World Economy

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The Chinese Government has increased its focus on expanding farm scale to promote agricultural development since 2010. A series of favorable polices has been adopted to support large‐scale farming. Using a multivariate probit model and 2015 and 2016 rural household survey data, the present paper examines the factors that influence small farmers' decision to become large‐scale farmers. The empirical regression results suggest that the decision to become a large‐scale farmer is significantly influenced by household human capital, cooperative membership, marketing channels, land‐transfer contracts and government policies. However, the influence of these factors differs with respect to becoming large‐scale grain and non‐grain farmers. These results imply that policy tools should target these factors and the appropriate group of small‐scale farmers. Generally, both central and local governments should promote large‐scale farming by enhancing rural households' human capital, improving marketing channels and providing agricultural social services, as well as encouraging returning migrant workers to engage in large‐scale farming.

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“…In contrast, rural residents' per capita disposable income was $1476.42, which is just across the low-income level (i.e., below $1035). In the 21st century, as non-agricultural wages continue to rise, large-scale rural labor forces were transferred to the cities for non-agricultural employment and it led to agricultural recession [1,2], which urgently improved the productivity of agricultural labor and expanded the scale of agricultural management [3]. In reality, China's per capita arable land area is 0.08 hm 2 (1 hm 2 = 15 mu), which is less than half of the global average of 0.197 hm 2 .…”

Section: Introductionmentioning

confidence: 99%

What Affects Participation in the Farmland Rental Market in Rural China? Evidence from CHARLS

Wang

2019

Sustainability

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Land fragmentation and the small size of land parcels are still the major bottlenecks for agriculture sustainable development in rural China, and an efficient land rental market could consolidate land plots and realize agricultural management at a moderate scale. However, transaction cost is still the main obstacle of land transfer. It is, therefore, essential to reduce the excessive transaction costs in the process of transfer; the primary task is to identify the roots of transaction costs. In order to accurately identify the sources of transaction costs, a generalized ordered Logit model with thresholds that allowed transaction costs to affect different directions of land transfer was developed using the China Health and Retirement Longitudinal Survey in 2015. The results suggested that the roots of transaction costs presented significant differences regarding the supply and demand of cropland. For the supply of land, the land titling program, land transfer intermediaries, and well-planned roads were the three most important factors that reduced transaction costs. For the demand of land, the three critical measures for reducing the transaction costs were well-planned roads, land consolidation, and the land titling program. The government should continue to push forward the land titling program and land consolidation projects in rural China, especially in hilly and mountainous areas. The infrastructure that greatly restricted agricultural development should be improved at a moderate level and the system of land circulating intermediary services at the township level should be established.

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How Off‐farm Employment Affects Technical Efficiency of China's Farms: The Case of Jiangsu

Cited by 26 publications

References 45 publications

The effects of off‐farm work on fertilizer and pesticide expenditures in China

The effects of off‐farm work on fertilizer and pesticide expenditures in China

What are the Determinants of Large‐scale Farming in China?

What Affects Participation in the Farmland Rental Market in Rural China? Evidence from CHARLS

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