This study examines gender differences in rural laborers‘ employment patterns in the mountainous and upland areas of Sichuan, China. The analysis employs both representative survey data of 400 households and geograph...This study examines gender differences in rural laborers‘ employment patterns in the mountainous and upland areas of Sichuan, China. The analysis employs both representative survey data of 400 households and geographical data. Multinomial logistic regression models are used to analyze the influences of gender, among other factors, on employment decisions of rural males and females, where the factors considered include personal, household, community natural environmental characteristics. Dividing laborers into four categories, we find that the proportions of males who participating in on-farm, pluriactive, and off-farm work, and unemployment were 24.41%, 28.64%, 46.27%, and 0.68% respectively, while that of females who participating in on-farm, pluriactive, and offfarm work, and unemployment were 43.20%, 13.95%, 30.95%, and 11.90% respectively. As to individual characteristics, age(AGE) and physical condition(PHY) effects appeared to be more pronounced for men, while education(EDU) and marital status(MAR)effects appeared to be more pronounced for women. Regarding household and community characteristics, the effects of the presence in the household of children aged 6-(CHI), number of persons in the household(POP), and labor force(LAB), per capitaincome in village(INCV), and the development status of village enterprises(ENT) on women were greater than that on men. In addition, the presence in the household of elderly individuals aged 65+(OLD) and time to reach the nearest township(TIME) are shown to have opposite impacts on men and women. While the presence in the household of pupils(PUP) and per capital gross value of industrial output(GVIO) was found to be irresponsive to men and women taking pluriavtivity and off-farm job. With respect to natural environments characteristics, the effects on men were opposite of those on women. Unemployment of women was found to be particularly responsive to household characteristics. A multinomial regression approach is undertaken to analyze rural males‘ and females‘ decisions of the four employment patterns considered, an approach that reveals considerable heterogeneity that is concealed by the dichotomous approach employed in most previous studies. The study thus contributes to our understanding of rural employment patterns and gender difference in mountainous and upland areas.展开更多
In this study, the current situation of pluriactivity in mountainous and hilly rural areas of Sichuan province was analyzed using representative sample survey data and natural factor data calculated based on 30 m-reso...In this study, the current situation of pluriactivity in mountainous and hilly rural areas of Sichuan province was analyzed using representative sample survey data and natural factor data calculated based on 30 m-resolution DEM and GIS. Moreover, using logistic regression model, a quantitative analysis was conducted on factors influencing pluriactivity in terms of individuals, households, communities and natural environmental conditions. The results showed that, （1） only 17.77% of rural laborers in mountainous and hilly areas of Sichuan province were engaged in pluriactivity. Geographically, pluriactivity was mainly chosen according to the ＂proximity principle＂, and was concentrated in construction and service industries; （2） the following factors have a significant influence on whether rural laborers in hilly areas engage in pluriactivity： gender, number of years of education, marriage, number of laborers and time to towns. Those with little influence include： age, health, family size, arable land per capita and per capita income, whether there are elderly people over 75 years and children less than 3 years. According to the main factors affecting pluriaetivity, the government should enhance vocational skills training for rural laborers in mountainous and hilly areas, especially for female laborers, further improve transport accessibility and encourage rural laborers, especially female laborers to move into pluriactivity to increase the income of farm households.展开更多
基金supported and funded by the Chinese Academy of Sciences Important Directional Knowledge Innovation Project (Grant No.KZCX2-EW-317)the National Natural Science Foundation of China (Grant No.41101552)the Chinese Academy of Sciences Western Light Project (2013 Yuhui)
文摘This study examines gender differences in rural laborers‘ employment patterns in the mountainous and upland areas of Sichuan, China. The analysis employs both representative survey data of 400 households and geographical data. Multinomial logistic regression models are used to analyze the influences of gender, among other factors, on employment decisions of rural males and females, where the factors considered include personal, household, community natural environmental characteristics. Dividing laborers into four categories, we find that the proportions of males who participating in on-farm, pluriactive, and off-farm work, and unemployment were 24.41%, 28.64%, 46.27%, and 0.68% respectively, while that of females who participating in on-farm, pluriactive, and offfarm work, and unemployment were 43.20%, 13.95%, 30.95%, and 11.90% respectively. As to individual characteristics, age(AGE) and physical condition(PHY) effects appeared to be more pronounced for men, while education(EDU) and marital status(MAR)effects appeared to be more pronounced for women. Regarding household and community characteristics, the effects of the presence in the household of children aged 6-(CHI), number of persons in the household(POP), and labor force(LAB), per capitaincome in village(INCV), and the development status of village enterprises(ENT) on women were greater than that on men. In addition, the presence in the household of elderly individuals aged 65+(OLD) and time to reach the nearest township(TIME) are shown to have opposite impacts on men and women. While the presence in the household of pupils(PUP) and per capital gross value of industrial output(GVIO) was found to be irresponsive to men and women taking pluriavtivity and off-farm job. With respect to natural environments characteristics, the effects on men were opposite of those on women. Unemployment of women was found to be particularly responsive to household characteristics. A multinomial regression approach is undertaken to analyze rural males‘ and females‘ decisions of the four employment patterns considered, an approach that reveals considerable heterogeneity that is concealed by the dichotomous approach employed in most previous studies. The study thus contributes to our understanding of rural employment patterns and gender difference in mountainous and upland areas.
基金supported and funded by the National Natural Science Foundation of China(General Program) (Grant NO. 41071350)the Chinese Academy of Sciences Important Directional Knowledge Innovation Project (Grant NO. KZCX2-EW-317)the Chinese Academy of Sciences Western Light Project (Grant NO.09R2340340)
文摘In this study, the current situation of pluriactivity in mountainous and hilly rural areas of Sichuan province was analyzed using representative sample survey data and natural factor data calculated based on 30 m-resolution DEM and GIS. Moreover, using logistic regression model, a quantitative analysis was conducted on factors influencing pluriactivity in terms of individuals, households, communities and natural environmental conditions. The results showed that, （1） only 17.77% of rural laborers in mountainous and hilly areas of Sichuan province were engaged in pluriactivity. Geographically, pluriactivity was mainly chosen according to the ＂proximity principle＂, and was concentrated in construction and service industries; （2） the following factors have a significant influence on whether rural laborers in hilly areas engage in pluriactivity： gender, number of years of education, marriage, number of laborers and time to towns. Those with little influence include： age, health, family size, arable land per capita and per capita income, whether there are elderly people over 75 years and children less than 3 years. According to the main factors affecting pluriaetivity, the government should enhance vocational skills training for rural laborers in mountainous and hilly areas, especially for female laborers, further improve transport accessibility and encourage rural laborers, especially female laborers to move into pluriactivity to increase the income of farm households.
