The effect of off‐farm employment on the decisions of households to rent out and rent in cultivated land in China

Huang, Jikun; Gao, Liangliang; Rozelle, Scott

doi:10.1108/17561371211196748

Cited by 110 publications

(88 citation statements)

References 17 publications

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“…Against the backdrop of rural-urban transformation in China, great changes have taken place in the rural human-environment relationships, and the choices of household livelihood strategies have become more diversified [32][33][34]. In this article, local households can be grouped into three types that pursue similar livelihood strategies, specifically, farming, local off-farm, and labor-migrant.…”

Section: Discussionmentioning

confidence: 99%

Household Livelihood Strategy Choices, Impact Factors, and Environmental Consequences in Miyun Reservoir Watershed, China

et al. 2017

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Abstract:Household livelihood strategies are embedded in the natural and socioeconomic contexts in which people live. Analyzing the factors that influence household livelihood choice and defining their consequences can be beneficial for informing rural household policies. In turn, this has great significance for fostering sustainable livelihood strategies. We grouped household livelihood strategies based on the income distribution of 756 households and analyzed their influencing factors and possible livelihood consequences in the watershed of Miyun Reservoir, the only source of surface water currently available for domestic use in Beijing, China. Local farmers' livelihood strategies can be grouped into three types: farming, local off-farm, and labor-migrant. Farming households have the lowest livelihood capitals, other than natural capital, compared with labor-migrant households and off-farm households, the latter having better livelihood capital status. Geographical location, natural capital, household structure, labor quality, and ecological policies are the main factors affecting farmers' choice of livelihood strategy. Local off-farm households have a significantly lower dependency on firewood, land resources, and investment than that of farming and labor-migrant households, and have the highest reliance on fossil fuel. This household classification can help us understand the livelihood characteristics, impact factors, and consequences of different types of household strategies, which also suggest tailored policy and management options to promote sustainable livelihoods based on different household types.

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Section: Discussionmentioning

confidence: 99%

Household Livelihood Strategy Choices, Impact Factors, and Environmental Consequences in Miyun Reservoir Watershed, China

et al. 2017

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“…The survey was conducted from April to September 2015. Five counties were selected using the sampling methods of Huang et al [22]. Specifically, all 86 counties or districts in Gansu Province were sorted from high to low by the average total industry output value per capita in 2012, which is an indicator of the level of economic development.…”

Section: Data Collection and Samplesmentioning

confidence: 99%

“…Besides, some farm-specific variables are also included: head age and education represent farmer characteristics; agricultural labor represents household characteristics; block size, soil fertility and land form represent farmland characteristics; Xifeng, Yuzhong, Mingle and Huining are area dummies (Table 4). Note: 1 mu is 1/15 hectare; the cost of land is measured by average land rental price in a village; all costs are costs per unit output, and measured in Yuan·kg −1 ; the total cost per unit output includes land cost and all other costs in production; output is the output per unit area, measured in kg·mu −1 ; education is the education year of household head; agricultural labor is the ratio of agricultural labor (defined as family members who are actually engaged in agricultural production, not in school and between 16 and 65 years old) [22] to family size; block size is the average block size of operating land (operating farmland = own land plus rent-in and minus rent-out), measured in mu; soil fertility of operating land is defined as poor = −1, medium = 0, good = 1; landform of operating land is defined as 0 when farmland was located in sloping area, and 1 when farmland was located in flat area. The same below.…”

Section: Models For Costs Estimation and Variable Descriptionmentioning

confidence: 99%

“…Some studies found that off-farm employment and migration had critical positive impacts on farmland renting-out behavior of rural households [22,26,27]. Not only did availability of off-farm employment significantly improve farmland rental, but tenure security and agricultural ability also played a critical role in farmland rental [28,29].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, to promote farmland rental and large-scale farming, a series of agricultural policies was launched, including farmland certification, subsidies on leased land, farmland collateral, and agricultural insurance [20]. In addition, the booming off-farm labor markets have also accelerated the development of farmland rental markets [21][22][23]. China's farmland rental policy gained rapid support, while only 5.2% of contracted farmland was leased in 2007, 33.3% had been leased by the end of 2015 [24,25].…”

Section: Introductionmentioning

confidence: 99%

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Farmland Rental and Productivity of Wheat and Maize: An Empirical Study in Gansu, China

et al. 2017

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Abstract:The rapid growth of farmland rental markets in China raises questions about the association of farmland rental and agricultural productivity. Although this issue has been extensively studied, the majority of studies have focused on yields and technical efficiency, with input use and cost efficiency receiving little attention. This study aimed to determine the statistical association of wheat and maize farmers' farmland rental behaviors (renting land, not renting land and renting out land) and input use, and the consequent association of farmers' farmland rental behaviors and cost efficiency. For this purpose, the linear regression model and stochastic frontier model were employed, based on a survey data of 419 wheat and maize farmers in 25 villages in five counties of Gansu Province, China. The study found that farmland rental enhanced productivity and sustainability of agriculture through transferring farmland from households with less productivity to those with high productivity, and it was also helpful to reducing the consumption of fertilizers and chemicals in agricultural production. The results suggest that replacing labor with machines is an important way to reduce production costs, and households specializing in agricultural production use more rational amounts of fertilizers and chemicals than those with low productivity. Thus, the machinery purchase policy in China should continue to give great benefit to farmers. In addition, the machinery purchase subsidization policy has achieved satisfactory results in China, and it could be a good reference for other developing countries. However, some efficiency loss was found in households that rented out their land, and policy makers need to pay some attention to these households.

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How do socioeconomic differentiation and rural governance affect households' land transfer decisions? Evidence from China

Liu,

Wang,

Yang

et al. 2023

Land Degrad Dev

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In rural areas, social and economic differentiation profoundly impact rural development patterns, which, in return, impacts rural village social and economic structures and the land transfer decisions of rural households residing within the village. Research on agricultural land transfer has rarely been discussed under the lens of the differentiated socioeconomic structure of rural villages, as well as rural governance capacities. This paper contributes to the existing body of research on the determinants of rural land transfer by examining the role of village socioeconomic differentiation and rural governance based on a quantitative analysis of factors at different scales. The results show that: (1) compared with clan‐based unity structure, kinship‐based split structure and dispersed structure have a positive effect on household land out‐transfer and a negative effect on land in‐transfer. (2) The homogeneity of residents had a negative impact on out‐transfer, while the financial revenue of the village had significant positive influences on households' out‐transfer. (3) The higher the trust in cadres and the evaluation of the local government, the greater the tendency of households to transfer land in, but none of this effect is significant. (4) The socialized agricultural services and the share of non‐farm have significant effects on land transfer. Moreover, households with better geographical conditions, such as those near the county capital and towns, are more likely to transfer their land out. These findings offer significant insights for the management of agricultural scale and the revitalization of rural areas in China, while also offering valuable ideas for the implementation of differentiated agricultural control and rural governance policies in other countries.

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The effect of off‐farm employment on the decisions of households to rent out and rent in cultivated land in China

Cited by 110 publications

References 17 publications

Household Livelihood Strategy Choices, Impact Factors, and Environmental Consequences in Miyun Reservoir Watershed, China

Household Livelihood Strategy Choices, Impact Factors, and Environmental Consequences in Miyun Reservoir Watershed, China

Farmland Rental and Productivity of Wheat and Maize: An Empirical Study in Gansu, China

How do socioeconomic differentiation and rural governance affect households' land transfer decisions? Evidence from China

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