Heterogeneous effects of rural–urban migration and migrant earnings on land efficiency: Empirical evidence from China

Zhao, Sudan; Jiang, Yongmu

doi:10.1016/j.landusepol.2022.106003

Cited by 18 publications

(13 citation statements)

References 59 publications

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“…Overall, the contributions of this study are as follows: Firstly, we explore household farmland use arrangements (farmland abandonment, farming and transfer) from the perspective of household migration characteristics [ 13 , 15 , 20 , 21 ]. Secondly, we explore the relationship between the duration of migration, the proportion of co-migrants and the household farmland use arrangements, which been neglected in the literature.…”

Section: Discussionmentioning

confidence: 99%

“…By employing survey cross-sectional data from inside China, with every 10% increase in off-farm employment and part-time employment, the average probability of rural households’ farmland abandonment increases by 4% and 5%, respectively [ 20 ]. By adopting a two-stage least squares estimator and a recursive mixed-process model, seasonal and permanent migration negatively affects land efficiency but with no significant difference between the two effects [ 21 ]. Notably, our research finds that off-farm employment has a significant positive effect on farmland abandonment only in the western regions of China.…”

Section: Introductionmentioning

confidence: 99%

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The impact of migration characteristics on rural migrant households’ farmland use arrangements in China

2022

PLoS ONE

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This paper investigates the impacts of migration characteristics on rural migrant households’ farmland use arrangements in China. The results reveal that trailing migration, duration of migration and the proportion of co-migrants have a significant effect on the probability of rural migrant households’ farmland abandonment. Commercial employment migration has a negative impact on the abandonment of farmland by migrant families. Migrant households are most likely to choose farmland abandonment in the western and middle regions of China and in small farmland areas. In the eastern region, and first tier and second tier Chinese cities, migrant households are more inclined to choose farmland transfer. Household earnings increase, which induces households to gradually give up the cultivation of farmland or to transfer farmland, constituting a mechanism in Chinese households’ farmland use arrangements. Notably, the consolidation of arable land should be the focus in areas of low economic development. Furthermore, an effective mechanism for the transfer of farmland should be established.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The impact of migration characteristics on rural migrant households’ farmland use arrangements in China

2022

PLoS ONE

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“…In comparison, all other types of rural households were less than 200 CNY/mu of machinery input, potentially due to cultivated land fragmentation in the study area. Compared to the cultivated land in the plains, the cultivated land in the hills and mountains is highly fragmented, making mechanized production extremely difficult [ 20 ], and rural households with smaller plots have fewer opportunities to use modern technology. I PTRH spent more because they owned more cultivated land and used machinery instead of human resources.…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, this method has been widely used to assess CLUE in different regions worldwide [ 11 , 12 ]; however, the findings vary widely depending on the study area, research time, and data [ 13 , 14 , 15 , 16 , 17 ]. Researchers have found that natural conditions [ 18 ], cultivated land resource endowment [ 19 ], regional economic development level [ 11 ], and agricultural transfer population [ 20 ] at the macro scale have significant effects on CLUE, while at the micro-scale of rural households, farmers’ age [ 21 ], farmers’ education level [ 22 ], farmers’ skills training [ 23 ], land transfer [ 24 ], and cultivated land size [ 25 , 26 ] are essential factors influencing CLUE. In addition, land use inputs are also an important factor affecting CLUE.…”

Section: Introductionmentioning

confidence: 99%

Cultivated Land Input Behavior of Different Types of Rural Households and Its Impact on Cultivated Land-Use Efficiency: A Case Study of the Yimeng Mountain Area, China

Lin

Zhou

et al. 2022

IJERPH

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Analyzing cultivated land input behavior (CLIB) at the scale of rural households links with cultivated land-use efficiency (CLUE), this study examined the Yimeng Mountain area in northern China, supported by field survey data from 737 rural households. This research systematically analyzed the characteristics of CLIB of different types of rural households, measured the CLUE of different types of rural households by using a data envelopment analysis (DEA) model, and explored the influence of CLIB on CLUE based on the Tobit regression model. The results show (1) significant differences in the characteristics of the CLIB of different types of rural households in the Yimeng Mountain area. Among them, the highest land, labor, and capital inputs were I part-time rural households (I PTRH), followed by full-time rural households (FTRH). In contrast, II part-time rural households (II PTRH) and non-agricultural rural households (NARH) had higher levels of non-agricultural employment; however, their input levels gradually declined. (2) The CLUE of the sample rural households was generally low and had considerable potential for improvement. Regarding the types of rural households, as the degree of part-time employment increased, the CLUE showed an inverted U-shaped trend of first increased and then decreased, namely, I PTRH > FTRH > II PTRH > NARH. This finding indicates that appropriate part-time employment could help to promote investment in agricultural production and improve the CLUE. (3) The CLIB of rural households had significant effects on CLUE; the literacy of the agricultural labor force, yield-increasing input per unit area, per capita household income, share of agricultural income, operation scale of cultivated land, effective irrigation rate of cultivated land, and soil and water conservation rate of cultivated land had positive effects on improving CLUE. Even so, there was still significant heterogeneity in the degree of influence of different rural household types. The study concluded with some policy recommendations from the perspective of different rural household types to provide references for optimizing farming inputs and improving CLUE.

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“…Wang et al (2014) observed that labor migration exerts a frail influence on agricultural productivity in China and Gambia. By adopting the Driscoll and Kraay standard errors fixed effects model, Zhao et al (2021) found a U-shaped relationship between off-farm employment and the change in agricultural land use efficiency in China. On the contrary, based on a panel data of 1961 counties in China, Yang et al (2020) found an inverted-U correlation between offfarm employment and grain production.…”

Section: Figurementioning

confidence: 99%

Assessing the impact of off-farm employment on land efficiency in different patterns: Field evidence from post-reform China

Zhao

Pei

Jiang

et al. 2022

Front. Environ. Sci.

Self Cite

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The three rights separation reform (TRSR) has laid a concrete foundation institutionally to guide the well-ordered transfer of farmland and promoting the development of urbanization. With the new economics of labour migration (hereinafter referred to as the NELM) theory as the analytic basis, this empirical research investigates the potential ramifications of off-farm employment on land efficiency with household-based survey data from four provinces in China after TRSR. Unlike existing studies, we delve into how the effects are manifested differently among the types of off-farm employment by adopting an ordinary least squares (OLS) model and a two-stage least squares (2SLS) estimator. It provides evidence that migration positively affect land efficiency significantly, whereas a negative impact of local off-farm employment on land efficiency is observed, which distinct this study from previous findings. From the perspective of policy-making, land administrators should realize that off-farm employment differentiation is an important factor affecting land efficiency, and therefore needs to be fully considered in policy-making. Meanwhile, the establishment of local labor markets and favorable policies that stimulate productive technologies are needed.

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Heterogeneous effects of rural–urban migration and migrant earnings on land efficiency: Empirical evidence from China

Cited by 18 publications

References 59 publications

The impact of migration characteristics on rural migrant households’ farmland use arrangements in China

The impact of migration characteristics on rural migrant households’ farmland use arrangements in China

Cultivated Land Input Behavior of Different Types of Rural Households and Its Impact on Cultivated Land-Use Efficiency: A Case Study of the Yimeng Mountain Area, China

Assessing the impact of off-farm employment on land efficiency in different patterns: Field evidence from post-reform China

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