Sanjiangyuan Area is located in Tibetan Plateau in Qinghai Province in China. It＇s the source of Yangtze River, Huanghe River and Lancangiiang River. Since the ecological environment became worse in recent decades, Q...Sanjiangyuan Area is located in Tibetan Plateau in Qinghai Province in China. It＇s the source of Yangtze River, Huanghe River and Lancangiiang River. Since the ecological environment became worse in recent decades, Qinghai government conducted an environmental migration project to move the herdsman out of Sanjiangyuan Area to protect the environment. Using the data we collected in five environmental migration resettlement villages in 2009 and the basic information of the nonmigrants, this paper calculated the index of migration differences to examine the selectivity between migrants and nonmigrants. The policy implication will also be discussed in this paper.展开更多
In China, farmers employed in non-farm work have become important socio-economic actors, but few studies have examined the farmers' perspective in making their work location choices. Based on "push-pull"...In China, farmers employed in non-farm work have become important socio-economic actors, but few studies have examined the farmers' perspective in making their work location choices. Based on "push-pull" migration theory, this paper utilizes sectional data from a 2013 survey of farmers in China's Three Gorges Reservoir area to empirically analyze the factors influencing migrant workers' choice of employment location. The results indicate that 60.46% of laborers have migrated from their home province, whereas 39.54% have remained in their home province. Focusing on personal, household, and community characteristics—in addition to the economic characteristics of the sample counties—multinomial logistic regression models reveal that farmer-laborers' employment location decisions are influenced by their personal capital endowment(age, years of education and social networks), family structure(the number of laborers, elders, children and students), home village characteristics(location, economic development level and the degree of relief of the land) and home county economic development level. Notably, male and female laborers' location decisions reveal a converging trend, and their differences are not pronounced. Per capita arable land area has little influence on location decisions, whereas the educational level of laborers has a significant impact. The results differ significantly from those found in previous studies.展开更多
文摘Sanjiangyuan Area is located in Tibetan Plateau in Qinghai Province in China. It＇s the source of Yangtze River, Huanghe River and Lancangiiang River. Since the ecological environment became worse in recent decades, Qinghai government conducted an environmental migration project to move the herdsman out of Sanjiangyuan Area to protect the environment. Using the data we collected in five environmental migration resettlement villages in 2009 and the basic information of the nonmigrants, this paper calculated the index of migration differences to examine the selectivity between migrants and nonmigrants. The policy implication will also be discussed in this paper.
基金financial supports from the National Natural Science Foundation of China (Grant Nos. 41571527, 41301193, 41101552,41401198)Main Direction Program (KZCX2-EW317)West Light Foundation of the Chinese Academy of Sciences (2013Yuhui)
文摘In China, farmers employed in non-farm work have become important socio-economic actors, but few studies have examined the farmers' perspective in making their work location choices. Based on "push-pull" migration theory, this paper utilizes sectional data from a 2013 survey of farmers in China's Three Gorges Reservoir area to empirically analyze the factors influencing migrant workers' choice of employment location. The results indicate that 60.46% of laborers have migrated from their home province, whereas 39.54% have remained in their home province. Focusing on personal, household, and community characteristics—in addition to the economic characteristics of the sample counties—multinomial logistic regression models reveal that farmer-laborers' employment location decisions are influenced by their personal capital endowment(age, years of education and social networks), family structure(the number of laborers, elders, children and students), home village characteristics(location, economic development level and the degree of relief of the land) and home county economic development level. Notably, male and female laborers' location decisions reveal a converging trend, and their differences are not pronounced. Per capita arable land area has little influence on location decisions, whereas the educational level of laborers has a significant impact. The results differ significantly from those found in previous studies.
