Analysis on Influencing Factors of Migrant Workers Willingness of Land Transfer under the Perspective of Intergenerational Difference:An Empirical Study Based on Questionnaires of 613 Migrant Workers in Tianjin City
XU Hengzhou
Abstract
XU Hengzhou
Abstract
Migrant worker demand for rural land rights is increasingly impacting the flow of labor between rural areas and cities. The objective of this paper was to investigate the factors influencing migrant workers support for land transfer using surveys of migrant workers in Tianjin in 2011. The analysis, based on 613 completed surveys and an ordered probit method, revealed that the factors influencing support for land transfer for older migrant workers were age, education, professional training experience or certification, family size, farmer age, labor structure, stability of land transfer, security function of transferred land, signing labor contract, stability of employment, unit property and the approach of migrant work. The factors driving attitudes in younger migrant workers were gender, education, professional training experience or certification, family size, farmer age, labor structure, signing labor contract, unit property and the approach of migrant work. These findings suggest that policy-making needs to consider intergenerational differences amongst migrant workers. At the micro level and considering the education and training of migrant workers, for older workers local employment and venture are important; for younger workers, flexible and informal educational is important to studying practical courses that allow them to accommodate city life. At a larger scale it is essential to build an environment for everyone to grow equally, break the city/countryside dual system and reform the census register system. Further, it is necessary to peel off social welfare added to the census register system, strengthen vocational training for migrant workers, advance their human capital, reinforce the protection of basic rights and benefits of land, and gradually probe the exit and compensation mechanisms for rural land and migrant workers.
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Migrant worker demand for rural land rights is increasingly impacting the flow of labor between rural areas and cities. The objective of this paper was to investigate the factors influencing migrant workers support for land transfer using surveys of migrant workers in Tianjin in 2011. The analysis, based on 613 completed surveys and an ordered probit method, revealed that the factors influencing support for land transfer for older migrant workers were age, education, professional training experience or certification, family size, farmer age, labor structure, stability of land transfer, security function of transferred land, signing labor contract, stability of employment, unit property and the approach of migrant work. The factors driving attitudes in younger migrant workers were gender, education, professional training experience or certification, family size, farmer age, labor structure, signing labor contract, unit property and the approach of migrant work. These findings suggest that policy-making needs to consider intergenerational differences amongst migrant workers. At the micro level and considering the education and training of migrant workers, for older workers local employment and venture are important; for younger workers, flexible and informal educational is important to studying practical courses that allow them to accommodate city life. At a larger scale it is essential to build an environment for everyone to grow equally, break the city/countryside dual system and reform the census register system. Further, it is necessary to peel off social welfare added to the census register system, strengthen vocational training for migrant workers, advance their human capital, reinforce the protection of basic rights and benefits of land, and gradually probe the exit and compensation mechanisms for rural land and migrant workers.
Key concepts: Unit (ring theory), Business, Certification, Human capital, Vocational education, Demographic economics, Economic growth, Economics