Household Livelihood Strategies and Dependence on Agriculture in the Mountainous Settlements in the Three Gorges Reservoir Area, China

This study explores the extent to which farmers in the Three Gorges Reservoir area remain highly dependent on agriculture despite rapid urbanization and industrialization. The study focuses on the factors that determine a household’s choice of livelihood strategy, with a particular focus on the production of and dependence on agricultural products. Using a sustainable livelihoods approach and survey data from farmers in the Three Gorges Reservoir area in China, the study provides a descriptive statistical analysis and ordinal logistic regression model that shows that close to 56% of households exhibit a low dependence on agriculture. The following variables had a significant influence on livelihood strategy: the maximum years of education of any household member; the age of the household head; the number of laborers in a household; household location; and formal and informal social networks. Regardless of whether the household had children, house value and fixed assets had no significant influence on livelihood strategy. According to the analysis results, we put forward the suggestions that government departments increase investment in infrastructure and make loan policies more favorable for farmers so as to encourage rural able-person to use their social networks to actively establish businesses at migrant destinations

Earthquake Disaster Risk Perception Process Model for Rural Households: A Pilot Study from Southwestern China

There are many important factors to consider when creating robust, regional disaster prevention systems. These include rural households’ knowledge and reported skills of earthquake disasters, disaster risk perception, awareness of disaster risk reduction, willingness to purchase insurance, and willingness to relocate to avoid disasters. However, few empirical studies have systematically established the theoretical research frameworks to analyze these factors. This study analyzed the data sampled from 241 rural households located in counties affected by the 2008 Wenchuan earthquake. A theoretical model was designed to investigate rural households’ disaster risk perception and used path analysis to systematically analyze the mechanism of the factors stated above. The results showed that 53.11% of rural households had a stronger willingness to purchase disease insurance and 72.19% had a stronger willingness to relocate to avoid disasters. Risk perception, knowledge and reported skills, and awareness of disaster risk reduction were significantly correlated with a willingness to purchase disaster insurance. Risk perception and awareness of disaster risk reduction were significantly positively correlated with a willingness to relocate to avoid disasters. Knowledge and reported skills indirectly affected the willingness to purchase insurance and the willingness to relocate to avoid disasters through risk perception and awareness of disaster risk reduction. Risk perception could indirectly affect the willingness to purchase insurance and the willingness to relocate to avoid disasters through awareness of disaster risk reduction

The Effect of Peasants Differentiation on Peasants’ Willingness and Behavior Transformation of Land Transfer: Evidence from Sichuan Province, China

Based on the survey data of 540 peasants in Sichuan Province, the probit and unordered multi-classification logistic model regression models were used to explore peasants’ differentiation on the transformation of willingness and behavior of land transfer and to provide a theoretical and empirical basis for promoting land intensification and large-scale management. The results show the following: (1) There is a significant negative correlation between the intention and behavior of part-time peasants, multiple occupations peasants, and non-agricultural peasants. (2) Part-time peasants and non-agricultural peasants promoted the change in willingness and behavior of land transfer out; part-time peasants, multiple occupations peasants, and non-agricultural peasants all promoted the willingness and behavior transformation of land transfer in. (3) The heterogeneity analysis results show that different household heads ages, the proportion of labor force in the total population of the household, and the terrain of cultivated land significantly impact peasants’ willingness and behavior of land transfer. Peasants’ non-agricultural differentiation is an important way to promote the rapid development of land transfer. The government should strengthen skills training and guidance services, broaden the channels for peasants to increase income, optimize the market environment of land transfer, and improve the social security system related to land transfer in order to promote the industrialization and large-scale development of agriculture

A Study of the Relationships between the Characteristics of the Village Population Structure and Rural Residential Solid Waste Collection Services: Evidence from China

Based on survey data collected in 2016 from 100 villages across five provinces in China, this paper uses binary logistic model to explore the main factors related to the supply and quality of rural residential solid waste collection (RRSWC) services, especially focusing on the role of village population structure characteristics. It is indicated from the results that village population structure characteristics are significantly correlated with RRSWC services; specifically: (1) the total registered population of village households is significantly positively correlated with the supply of RRSWC services, however, the correlation between the registered population and the quality of RRSWC services is negative and the more the labors working and living outside the village, the less likely the village is to provide RRSWC services; (2) the villagers’ educational levels and RRSWC services show no significant correlativity at the present stage; (3) the preferential policies brought by population structure advantage play a positive role in the supply of RRSWC services but is not clearly related to the quality of RRSWC services, especially in the villages with a larger minority population. In addition, the study finds that, the economic development level of a village and the characteristics of village leaders are also positively correlated with the supply and quality of RRSWC services and; the natural and traffic conditions have no significant correlation with RRSWC services. This study can act as a reference for the further promotion of the development of RRSWC services in China

Social Network Influences on Non-Agricultural Employment Quality for Part-Time Peasants: A Case Study of Sichuan Province, China

In recent years, the issue of employment quality for workers has received increasing attention from the government and academia. As a social resource, a social network can provide people with social support and help job seekers find better jobs by transmitting the information on job opportunities. However, currently, there are few empirical studies on employment quality from the perspective of social networks. Based on data from 194 samples from 400 households in Sichuan Province in 2015, this paper constructs an employment quality index system from the six dimensions of labor wages, working time, employment stability, employment environment, career development, and social security. In addition, from the perspective of the structural features and the overall characteristics of the social network, OLS (Ordinary Least Squares) and the path analysis model are used to quantitatively explore the mechanisms of action paths of the social network in terms of the non-agricultural employment quality of part-time peasants. The results show that: (1) the social network scale and the relative network of part-time peasants are found to positively affect employment quality. (2) Age, gender, and education level have indirect impacts on the employment quality loop through network heterogeneity and network scale. In addition, network heterogeneity and health status indirectly impact employment quality through a network scale. (3) By synthesizing the direct and indirect impacts, the comprehensive impacts of each factor on employment quality, in decreasing order, are: village–county distance > village terrain > family population > network scale > education level > skill > network heterogeneity > health status > age > gender. The results suggest that we should pay attention to the role of social network resources in improving employment quality, and should implement various measures to expand peasants’ social networks, so as to achieve high-quality employment

Research on Role Cognition and Employment Strategy of Rural Female Laborers in Sichuan, China

Paying attention to role cognition and the employment strategies of female rural laborers has great significance for the improvement of the status of women and the rational transfer of labor forces. However, there are few studies of role cognition amongst the rural female labor workforce. There is even less research on the relationship between role cognition and employment transfer strategies. In this study, a survey of 425 female rural laborers in the Sichuan Province, China, was conducted to construct a role-based cognitive scale in order to measure the cognitive levels of subjective ability, self-role expectations and role conflicts. This paper divides employment strategy into four aspects: Actual workplaces, workplace preferences, actual industries, and industry preferences. An unorganized multi-classification logistic regression model was constructed in order to explore the relationship between the role cognition and employment strategy selections. The results indicated that there was a significant difference between employment expectations and realities. Rural females with more equal modern role cognition had a higher expectation of employment. Meanwhile, those who had a strong feeling of role conflicts, tended to work in other places and choose secondary and tertiary industries. However, in reality, most were unemployed. The conflict of roles clearly restricts employment options of the rural female workforce. This study enhances our understanding of the relationship between the perceptions of the Chinese female labor workforce and the employment strategies used. The findings can help to provide a reference for guiding employment policies and the flow of the female labor workforce

The Effect of Peasants Differentiation on Peasants’ Willingness and Behavior Transformation of Land Transfer: Evidence from Sichuan Province, China

Based on the survey data of 540 peasants in Sichuan Province, the probit and unordered multi-classification logistic model regression models were used to explore peasants’ differentiation on the transformation of willingness and behavior of land transfer and to provide a theoretical and empirical basis for promoting land intensification and large-scale management. The results show the following: (1) There is a significant negative correlation between the intention and behavior of part-time peasants, multiple occupations peasants, and non-agricultural peasants. (2) Part-time peasants and non-agricultural peasants promoted the change in willingness and behavior of land transfer out; part-time peasants, multiple occupations peasants, and non-agricultural peasants all promoted the willingness and behavior transformation of land transfer in. (3) The heterogeneity analysis results show that different household heads ages, the proportion of labor force in the total population of the household, and the terrain of cultivated land significantly impact peasants’ willingness and behavior of land transfer. Peasants’ non-agricultural differentiation is an important way to promote the rapid development of land transfer. The government should strengthen skills training and guidance services, broaden the channels for peasants to increase income, optimize the market environment of land transfer, and improve the social security system related to land transfer in order to promote the industrialization and large-scale development of agriculture

Landslides and Cropland Abandonment in China’s Mountainous Areas: Spatial Distribution, Empirical Analysis and Policy Implications

Cropland, as the largest land use type in the human landscape, contributes to not only biodiversity but also global food security. However, cropland abandonment not only is harmful to agricultural cultural landscapes but also threatens food security. Prior studies have suggested that changes in the social environment drive farmers to abandon cropland. In contrast, this study reveals that factors of the natural environment (e.g., landslides) have steadily and significantly affected cropland abandonment after controlling the factors of the social environment. More specifically, based on the survey data of a large sample of 4850 mountainous households in 24 provinces of China and following the theoretical framework of “environment → land use„, this study quantitatively identified the impacts of landslides on cropland abandonment in mountainous areas using the Probit and Tobit models. The results show that: (1) There is a similar spatial agglomeration trend between landslides and cropland abandonment. Namely, an area that has a high incidence of landslides also has a high incidence of cropland abandonment. (2) There is a significant and positive correlation between landslides and cropland abandonment. Namely, compared with peasants who have not suffered from landslides, the probability that peasants suffering from landslides will abandon cropland and the area abandoned increase by 6.8% and 0.064 mu, respectively. (3) Elderly farmers (over 64 years old) and the development of urbanization help curb cropland abandonment in the mountains. The results of this study may provide reference for the government to implement effective policies for managing landslides and revitalizing unused cropland resources