Land arrangements for rural–urban migrant workers in China: Findings from Jiangsu Province

Yong, Xie; Jiang, Quanbao

doi:10.1016/j.landusepol.2015.10.010

Cited by 95 publications

(62 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The growth of transferred farmland was conducive to urbanization and agricultural development. First, it optimized the allocation of farmland and provided a more efficient way to transfer land from low-productivity farming households to high productivity ones [21,22]. Second, abundant rural surplus labor was released, which improved non-farm employment and enhanced farmers' income [4,6,23,24].…”

Section: Literature Reviewmentioning

confidence: 99%

“…First, planting grain crops could bring more income than before, which was attributed to the sharp increase in grain price, the removal of agricultural tax, and the provision of agricultural subsidies. Second, migrant workers were widespread, directly reducing available farm labor [22] as the elderly and children were left in rural areas [61]. The elderly often could not undertake labor intensive planting of commercial crops.…”

Section: Influencing Factors Of Ngf Spatial Patterns Changementioning

confidence: 99%

See 1 more Smart Citation

The Effect of Urbanization and Farmland Transfer on the Spatial Patterns of Non-Grain Farmland in China

et al. 2017

View full text Add to dashboard Cite

Rapid urbanization has accelerated farmland transfer in China, which in turn has increased the cultivation intensity of non-grain farmland (NGF). The aim of this paper was to analyze the spatial patterns of non-grain farmland (NGF) at municipal-level cities in China from 2000 to 2014, and explore the influence of urbanization and farmland transfer on the spatial patterns of non-grain farmland (NGF). The study found that both NGF area and share have a consistent variation trend which increased first, then decreased, and increased again. There were great differences between NGF area and share, which had various spatial patterns. Global Moran's I of NGF area and share had strong positive spatial autocorrelations in 2000, 2005, 2010, and 2014, and revealed remarkable clustered spatial patterns. Local spatial autocorrelation analysis found that the spatial agglomeration pattern of the NGF area and the share changed significantly from 2000 to 2014. The spatial patterns of NGF were significantly influenced by regional differences in urbanization and farmland transfer. These results provide critical insights for formulating differential farmland transfer policies and policies for sustainable development of agriculture and rural economy in China.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Influencing Factors Of Ngf Spatial Patterns Changementioning

confidence: 99%

The Effect of Urbanization and Farmland Transfer on the Spatial Patterns of Non-Grain Farmland in China

et al. 2017

View full text Add to dashboard Cite

show abstract

“…The big difference reflects a specific mentality associated with Chinese peasants. That is, the land is usually deemed as the "lifeblood" for rural families [11], hence households tend to be very cautious on their forestland asset, and would not transfer them out rashly. Off-farm employment is measured in the data by the ratio of off-farm income to household total income.…”

Section: Data Sourcementioning

confidence: 99%

“…Much literature has focused on China's farmland transfer, where off-farm employment is widely emphasized as one of its crucial determinants [6][7][8][9][10][11][12]. The rationale is intuitive: households own land only because the marginal income from farming cultivation is not less than that from their alternative income sources.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Off-Farm Employment on Forestland Transfers in China: A Simultaneous-Equation Tobit Model Estimation

et al. 2017

View full text Add to dashboard Cite

China's new round tenure reform has devolved collective forests to individuals on an egalitarian basis. To balance the equity-efficiency dilemma, forestland transfers are highly advocated by policymakers. However, the forestland rental market is still inactive after the reform. To examine the role of off-farm employment in forestland transfers, a simultaneous Tobit system of equations was employed to account for the endogeneity, interdependency, and censoring issues. Accordingly, the Nelson-Olson two-stage procedure, embedded with a multivariate Tobit estimator, was applied to a nationally representative dataset. The estimation results showed that off-farm employment plays a significantly negative role in forestland rent-in, at the 5% risk level. However, off-farm activities had no significant effect on forestland rent-out. Considering China's specific situation, a reasonable explanation is that households hold forestland as a crucial means of social security against the risk of unemployment. In both rent-in and rent-out equations, high transaction costs are one of the main obstacles impeding forestland transfer. A remarkable finding was that forestland transactions occurred with a statistically significant factor equalization effect, which would be helpful to adjust the mismatched labor-land ratio and improve the land-use efficiency.

show abstract

“…The positive link between tenure security and the land transaction has been widely observed in empirical studies in different countries [9][10][11][12][13]. In China's farmland transfer market, besides the tenure security, the development of parallel factor markets, especially the off-farm labor market, is seen as another crucial determinant of land transfer [7,[14][15][16][17][18]. The rationale is that because off-farm activity has become the main source of household income in rural China, off-farm employment carries great weight when farmers allocate labor between farmland cultivation and off-farm work [19].…”

Section: Introductionmentioning

confidence: 94%

Institutional Regime, Off-Farm Employment, and the Interaction Effect: What are the Determinants of Households’ Forestland Transfer in China?

et al. 2017

View full text Add to dashboard Cite

Abstract:The development of the land rental market has been widely attributed to the associated institutional regime and the functioning of the off-farm labor market. However, little is known of the interaction effect of these two factors. To fill this gap, we employ a nationwide representative household dataset to investigate the effects of China's collective forest tenure reform (CFTR) and off-farm employment on forestland transfer in China. Special interest is focused on their potential interaction effect. The Smith-Blundell instrumental variable tobit model is adopted to account for the endogeneity of off-farm employment. The estimation results show that both the tenure reform and off-farm employment significantly influence forestland transactions. However, compared to the positive effect of the reform on both renting in and renting out forestland, the effect of off-farm employment is mixed, that is, its effect is negative when forestland is rented in but positive on rent-out decisions. An important finding is that the CFTR imposes a negative enhancement effect on forestland rent-in through its interaction term with off-farm employment. In contrast, the enhancement effect on rent-out is not statistically significant, which may be due to the neutralization by the endowment effect of the CFTR.

show abstract

Land arrangements for rural–urban migrant workers in China: Findings from Jiangsu Province

Cited by 95 publications

References 23 publications

The Effect of Urbanization and Farmland Transfer on the Spatial Patterns of Non-Grain Farmland in China

The Effect of Urbanization and Farmland Transfer on the Spatial Patterns of Non-Grain Farmland in China

The Effect of Off-Farm Employment on Forestland Transfers in China: A Simultaneous-Equation Tobit Model Estimation

Institutional Regime, Off-Farm Employment, and the Interaction Effect: What are the Determinants of Households’ Forestland Transfer in China?

Contact Info

Product

Resources

About