Impact of outsourced machinery services on farmers' green production behavior: Evidence from Chinese rice farmers.

As an important part of agricultural socialization services, outsourced machinery services are of great significance for promoting the green development of agriculture. Using the field survey data of 1080 rice growers in Sichuan Province, this paper empirically analyzes outsourced machinery services' impact and role path on farmers' green production behavior. Further, it analyzes the difference in influence from the perspective of group heterogeneity. The research results show that: (1) The outsourced machinery services significantly impact farmers' adoption of no-tillage technology, organic fertilizer application technology, and straw returning technology. The conclusion is still stable after considering endogeneity. (2) The outsourced machinery services indirectly affect farmers' green production behavior by promoting off-farm employment and expanding the scale of farmland. (3) The impact of outsourced machinery services on farmers' green production behavior is not significant in the male group and the group whose households own agricultural machinery. In conclusion, the study proposes to increase assistance to outsourced machinery services providers and encourage service entities to actively publicize and popularize green production technologies while providing services, to play an influential role in guiding and educating farmers.

Work-family balance and the subjective well-being of rural women in Sichuan, China.

BACKGROUND: Due to the great burden of family and the conflicts among family, society and career roles resulting from migrant working, rural women suffer more conflicts between work and family and need more social attention. Previous studies of the conflicts between family and work mainly focus on the group of career women, and there is a lack of the research on the conflicts between work and family of rural women, which needs to be systematically and further studied. METHODS: This study used a sample survey of 380 rural women in rural areas of Sichuan Province to measure rural women's cognition of work-family, coordination and handling of conflicts, post-conflict choices, and subjective well-being; the study constructs an ordered multi-class logistic regression model to explore the impact of work-family conflict on the subjective well-being of rural women in rural regions. RESULTS: The study result shows that: (1) The level of subjective well-being of rural women is generally high, and 70% of women feel satisfied or very satisfied. (2) The factor which impacts the subjective well-being among rural women most is work-interfering-with-family conflict, followed by work-family balance and confidence in conflict coordination. CONCLUSION: This study can enhance our understanding of rural women in rural areas, and provide a reference for formulating policies to improve people's life satisfaction.

Labor migration and farmland abandonment in rural China: Empirical results and policy implications.

Farmland abandonment is a universal socio-economic phenomenon in various countries in the world. However, there is a lack of the large-sample empirical research on rural households' farmland abandonment in China, and few studies have explored the quantitative influences of labor migration on rural households' farmland abandonment. This study uses the survey data of 8031 rural households from 27 provinces (cities) in China. It analyzes the spatial distribution characteristics of labor migration and farmland abandonment on the basis of provinces (cities). Moreover, it constructs the iv-probit models and the iv-tobit models to quantitatively explore the influences of off-farm employment and part-time employment on rural households' farmland abandonment. The results show that: Labor migration and farmland abandonment in various provinces (cities) of China present the trend of spatial area agglomeration. The regional differences of off-farm laborers are significant, whereas the regional differences of part-time laborers are relatively small; Labor migration would promote rural households' farmland abandonment. When other conditions remain unchanged, with every 10% increase in off-farm employment and part-time employment, the average probability of rural households' farmland abandonment increases by 4% and 5%, respectively, and the average farmland area that rural household abandons increases by 3% and 5%, respectively. This study can enhance the understanding of the relationship between labor migration and rural households' farmland abandonment in China, so as to provide reference for the rational allocation of labor resources and the formulation of the policies related to ensuring food security.

Impacts of alcohol consumption on farmers' mental health: Insights from rural China.

The global mental health crisis presents a significant challenge to sustainable development, and this crisis is more pronounced in China's rural areas versus urban areas. Alcohol consumption has increased in rural areas with China's economic growth, but the number of studies on the relationship between farmers' alcohol consumption and their mental health is limited. Based on data from the China Labor Force Dynamics Survey (CLDS), this study uses the endogenous switching regression model (ESR) to analyze the influence of alcohol consumption on farmers' mental health. On this basis, the study further conducts a counterfactual analysis to estimate the average treatment effect of alcohol consumption on farmers' mental health. The results show that: (1) There is a significant positive relationship between alcohol consumption and farmers' mental health. Specifically, the mental health index of drinking farmers increases by 19.7 % compared to non-drinking farmers. (2) Heterogeneity analysis shows that alcohol consumption is more beneficial for improving the mental health of male farmers, elderly farmers, and employed farmers. Furthermore, drinking alcohol almost every day, consuming Baijiu, and each drinking consumption ranging from 0 to 100 mL per occasion are more conducive to improving farmers' mental health. These findings have implications for relieving depressive symptomology and improving farmers' mental health in developing countries. The results of this study also provide guidance for addressing the global mental health crisis.

Understanding the Relationship between Financial Literacy and Chinese Rural Households' Entrepreneurship from the Perspective of Credit Constraints and Risk Preference.

Farmers' entrepreneurship is an important factor in promoting rural economic growth, yet few studies have systematically discussed the impact of financial literacy. Using the 2021 China Land Economic Survey data, this study analyzes the relationship between financial literacy and Chinese rural households' entrepreneurship from the perspective of credit constraints and risk preferences by the IV-probit, stepwise regression, and moderating effects methods. This study finds that: (1) the financial literacy of Chinese farmers is low, with only 11.2% of the sample households starting businesses; and (2) Financial literacy can promote rural households' entrepreneurship. After introducing an instrument variable to control endogenous problems, the positive correlation is still significant; (3) financial literacy effectively alleviates the traditional credit constraints of farmers, thereby promoting entrepreneurship; (4) risk preference weakens the positive impact of financial literacy on rural households' entrepreneurship. This study provides a reference for optimizing entrepreneurship policies.

Impact of Agricultural Division of Labor on Fertilizer Reduction Application: Evidence from Western China.

Nowadays, environmental friendly agriculture has become the world trend of modern agricultural development; fertilizer reduction application is an essential way to achieve sustainable development goals. With the deepening development of the agricultural specialized division of labor and socialized services, the division of labor economy can promote the economic input of fertilizer. Based on 540 survey data of farmers in the main rice-producing areas of Sichuan Province, this paper constructs a theoretical analytical framework for the impact of agricultural division of labor on fertilizer reduction application. A binary probit model was used to empirically analyze the effect of agricultural division of labor on fertilizer reduction application, and its mechanism was examined. The results show that: (1) both horizontal and vertical agricultural divisions of labor have positive and significant effects on the reduction in fertilizer application by rice farmers. All above results remain stable after treatment of endogeneity; (2) due to the migration of the rural labor, the horizontal division of labor is expressed as changes in the structure of labor and cultivation within the household which has changed. To achieve economies of scale, farmers increase specialization in production, resulting in reducing marginal cost and application of fertilizer; (3) the vertical division of labor is expressed in the adoption of external socialized services by farmers, which improves the land resource endowment of fragmentation and hydraulic conditions. Thus, it creates a good environment for fertilizer application to improve its application efficiency, which in turn promotes fertilizer reduction by farmers. Based on this, this paper proposes that the government should motivate farmers to deepen their participation in the horizontal and vertical division of labor. Meanwhile, it is also necessary to improve the agricultural specialization continuously and further promote the development of socialized services market.

Energy Consumption Structure and Influencing Factors of Farmers in China from the Perspective of Labor Transfer.

Under the background of carbon peak and carbon neutralization, the transformation and upgrading of energy consumption structure is crucial to achieve sustainable environmental development. Based on the questionnaire data of 1080 farmers in Sichuan province in 2021, the IV-Probit model was used to explore the impact of labor from off-farm employment on farmers' energy consumption structure and its specific mechanism. The results show the following: (1) the overall proportion of off-farm employment is not high, only 23%; in cooking energy, the most farmers use high-quality energy, accounting for up to 94%; (2) in addition to high-quality energy, off-farm employment of labor force is positively and significantly correlated with the remaining six types of energy consumption structure. The results of a heterogeneity analysis show that the proportion of off-farm employment of farmers with a high education level and above has the greatest positive effect on the use of high-quality energy; (3) the results of the mediating effect show that the off-farm employment can affect the energy consumption structure of farmers through the two paths of annual cash income and population structure.

How does Internet use affect farmers' low-carbon agricultural technologies in southern China?

Agricultural low-carbon emission reduction is an essential part of China's ecological civilization construction. Farmers' low-carbon agricultural technology (LCAT) adoption has become an important means to achieve agricultural low-carbon emission reduction. Based on the survey data of 1080 farmers in Sichuan Province, farmers' LCAT adoption has been empirically studied using the combined estimate conditional mixed treatment model (CMP). The results show that the use of the Internet will substantially promote farmers' low-carbon tillage technology adoption and low-carbon fertilization technology adoption but has no significant impact on farmers' low-carbon pharmaceutical application technology adoption, low-carbon irrigation technology adoption, low-carbon agricultural film recycling technology adoption, and straw recycling technology adoption. Mechanism analysis shows that Internet use mainly affects farmers' low-carbon fertilization technology adoption through economic benefit cognition and affects farmers' low-carbon tillage technology adoption through ecological benefit cognition. This study can enhance our understanding of the relationship between Internet use and LCAT adoption and serve as a resource for rural digital infrastructure development and LCAT adoption-related policy design.

Will farmers follow their peers in adopting straw returning? Evidence from rural Sichuan Province, China.

From the perspective of conformity tendency, based on 540 farmers' data in Sichuan Province, China, the study used the probability score matching (PSM) model and mediator model to explore the role of four types of peers' straw returning behavior on farmers' preferences to implement straw returning and the realization paths. It was found that (1) farmers' preferences to implement straw returning were influenced by the straw returning behavior of neighbors, relatives, wealthy villagers, and village cadres, i.e., there were conformity tendencies in farmers' straw returning decisions. (2) The degree of conformity tendencies formed by different peers varied. Among the peers affecting farmers' preferences to implement straw returning, the effect of village cadres was the largest, followed by neighbors, relatives, and the wealthy villagers. (3) The degree of conformity tendencies varied by decision-makers. The younger and less educated the farmers were, the more willing they were to adopt straw returning driven by their neighbors, relatives, wealthy villagers, and village cadres. (4) In the conformity tendencies (including conformity to neighbors, relatives, wealthy villagers, and village cadres) of straw returning, farmers' perceptions of income benefits and environmental benefits played a significant mediating role, and the perception of environmental benefits was more vital.

The complex impacts of economic growth pressure on carbon emission intensity: an empirical evidence from city data in China.

Excessive carbon emissions are the major challenge to global sustainable development. In the context of the coronavirus pandemic, pressure on global economic growth is gradually rising, threatening established carbon reduction targets. However, the relationship between economic growth pressures and carbon emission intensity has yet to be clearly discussed. Thus, this study quantitatively discusses the impacts of economic growth pressures from central (EGPN) and provincial (EGPP) governments on city carbon intensity. The study is based on data from China's city panels from 2005 to 2019. This study finds that (1) there is a U-shaped correlation between economic growth pressure and a city's carbon emission intensity, whether the economic growth pressure comes from the central government or the provincial government; (2) carbon emission intensity is more sensitive to economic growth pressure from the provincial government than it is to economic growth pressure from the central government. The findings of this study will help enhance the understanding of the relationship between economic growth pressure and carbon emission intensity, and can also provide a reference for global sustainable development that balances economic growth and environmental protection.

Does labor transfer affect rural household cooking fuel choice? Examining the role of income.

It's the direction of all humankind's joint efforts to develop clean cooking fuels and reduce carbon emissions vigorously. While most studies found that householder and family characteristics influence household cooking fuel choice, few studies focus on the relationship between labor transfer and the choice of clean cooking fuels. Based on the three-phase survey data of the China Labor-Force Dynamic Survey in 2012, 2014, and 2016, this paper analyzes the influence of labor transfer on rural households' cooking fuel choice. It focuses on the mediating role of income and the heterogeneity of labor transfer on household cooking fuel choice under different educational levels and location conditions. The results show that (1) from 2012 to 2016, there are regional differences in the development of clean cooking fuels; (2) labor transfer can promote households to choose clean cooking fuels, and this result remains robust after controlling for endogeneity; (3) labor transfer indirectly influences household cooking fuel choice through affecting family income; and (4) the impact of labor transfer on household cooking fuel choice varies with different education levels and location conditions. Therefore, analyzing the optimization of rural cooking energy structure from the perspective of labor transfer plays an important role in ensuring the sustainable development of clean cooking fuels in rural areas.

Spatial-Temporal Features and Correlation Studies of County Rural Hollowing in Sichuan.

The research on rural hollowing is necessary for policy making related to rectifying hollow villages in the Rural Revitalization Strategy. In this context, Sichuan was chosen as a typical region to explore the spatial-temporal features and relevant factors of rural hollowing. The results show that (1) from 2010 to 2018, rural hollowing shows a downward trend. The average of comprehensive hollowing dropped by 0.028, and 119 counties have a decrease in the degree of comprehensive hollowing. (2) During the same study period, the regional characteristics of the rural hollowing degree were significant. High and higher degrees of comprehensive hollowing have an obvious decrease in number and have a trend of agglomeration in Central Sichuan. High and higher degrees of land hollowing have an obvious decrease in number, and they were mainly distributed in Northwest Sichuan in 2018. The degree of population hollowing gradually increases from west to east, and high and higher degrees of population hollowing have a significant increase in number, mainly concentrated in East Sichuan. The degree of economic hollowing has obvious spatial characteristics from west to east, and high and higher degrees of economic hollowing have an increase in number, mainly concentrated in Chengdu Plain. (3) During the same study period, the spatial distribution characteristics of rural hollowing degree at the county level in Sichuan Province were obvious. The high-value clustering is mainly concentrated in Chengdu Plain Economic Zone, and the range of clustering is decreasing. Low-value clustering was mainly distributed in Northeast Sichuan Economic Zone and Northwest Sichuan Economic Zone. (4) Rural hollowing in Sichuan Province is negatively correlated with average elevation and per capita arable land area; rural hollowing is positively correlated with urbanization rate and industrial output value.

Community Disaster Resilience and Risk Perception in Earthquake-Stricken Areas of China.

OBJECTIVE: The purpose of this study is to further deepen our understanding of the relationship between community resilience and disaster risk perception of residents, so as to provide beneficial enlightenment for the construction of community resilience disaster prevention system and disaster risk management. METHODS: This study surveyed 327 rural households in four counties of Sichuan Province, China, that were affected by the Wenchuan and Lushan earthquakes. Community disaster resilience was divided into five dimensions: connection and caring, resources, transformative potential, disaster management, and information and communication. Residents' disaster risk perception was divided into three dimensions: possibility, threat, and worry. This study analyzed the characteristics of community disaster resilience and residents' disaster risk perceptions. Ordinary least squares (OLS) methods were used to explore the correlations between these factors. RESULTS: The results show that (1) Residents' overall disaster risk perception was at a moderate level, and the community's overall disaster resilience were above the moderate level. (2) Community connection and caring has a positive significant correlation with the possibility perception of disaster occurrence; transformative potential has a negative significant correlation with the possibility perception of disaster occurrence; the overall community disaster resilience has negative significant correlations with the possibility and the overall residents' perception of disaster risk occurrence. CONCLUSIONS: The implication for the local government is that the government should appropriately increase its contact with external institutions/organizations, especially some Non-Governmental Organization, to strengthen the resilience and disaster prevention capacity of the community. Establish and improve information and communication networks to ensure the timely and effective transmission of effective disaster information, and strengthen the supervision of the dissemination of false information to reduce the losses caused by false information to residents. Attention should be paid to psychological counseling for people in disaster-hit areas to reduce the psychological trauma of the disaster.

The Forms, Channels and Conditions of Regional Agricultural Carbon Emission Reduction Interaction: A Provincial Perspective in China.

Agricultural emission reduction is a key objective associated with sustainable agricultural development and a meaningful way to slow down global warming. Based on the comprehensive estimation of agricultural carbon emissions, this study applied the traditional spatial Durbin model (SDM) to analyze the type of regional emission reduction interaction and explore whether it is a direct or an indirect interaction caused by technology spillovers. Moreover, geographic, economic, and technical weights were used to discuss the channels of emission reduction interactions. The partitioned spatial Durbin model was applied to explore the realization conditions of regional emission reduction interactions. We found that: (1) comprehensive emission reduction interactions were identified in various regions of China, including direct and indirect interactions, in which geographic and technical channels were the major pathways for direct and indirect emission reduction interactions, respectively; (2) regions with similar economic development levels are more likely to have direct interactions, whereas regions with low technical levels are more willing to follow the high-tech regions, and the benchmarking effect is noticeable; (3) emission reduction results promoted by economic cooperation may be offset by vicious economic competition between regions, and more emission reduction intervention measures should be given to regions with high economic development levels; (4) to achieve better technological cooperation, regions must have similar technology absorption capabilities and should provide full play to the driving force of technical benchmarks.

Rural Household Differentiation and Poverty Vulnerability: An Empirical Analysis Based on the Field Survey in Hubei, China.

Rural family differentiation is an important perspective to analyze farmers' behavior and poverty. Based on the data of 1673 farm households from rural field survey in 2019 in Hubei Province of China, this paper examines the main influencing factors of farm household differentiation on farm household poverty vulnerability from the perspective of the sustainable livelihoods of farm households. On this basis, the contribution of each influencing factor to farm household poverty vulnerability is analysed using the regression decomposition method. The results of the study show that the variables of farm household differentiation have a significant impact on poverty vulnerability, and the net household income per capita, which reflect the vertical differentiation of farm households, and the proportion of non-farm labor, which reflects the horizontal differentiation of farm households. Both have a significant negative impact on the poverty vulnerability of farm households. The regression decomposition method shows that the proportion of non-farm labor force, which reflects the horizontal differentiation of farm households, has the highest contribution to the poverty vulnerability of farm households. Human capital, natural capital, social capital, and physical capital also influence the poverty vulnerability of farm households to a certain extent.

Does Internet use improve farmers' perception of environmental pollution? Evidence from rural China.

People's weak perceptions of environmental pollution (PEP) threaten the achievement of the Global Sustainable Goals, especially in rural areas. However, Internet use may improve farmer's PEP. Thus, based on survey data from rural China, this study uses an endogenous switching regression model (ESRM) to remove the selection bias and quantitatively evaluate the impact of Internet use on the farmers' PEP. The results of this study show that (1) for group of farmers using the Internet, if they do not use the Internet, their PEP may decrease by 91.004% and (2) for group of farmers not using the Internet, if they use the Internet, their PEP may increase by 100.160%. These results provide the evidence for developing countries aiming to improve their residents' PEP and provide a new path for solving the problem of global environmental pollution and realizing sustainability.

The Influence of Disease Status on Loneliness of the Elderly: Evidence from Rural China.

At present, the dual pressure of rural labor outflow and population aging in China makes the problems of the rural elderly population increasingly prominent, and its health problem is particularly prominent. Based on the 2014 China elderly population health survey data (CLHLS), this paper finds that the physical health status of the rural elderly has a significant positive impact on their loneliness; that is, the rural elderly with poor health status are more likely to feel lonely. At the same time, the age of the elderly has a significant positive impact on their loneliness. On the contrary, gender, personality, family income and intergenerational support of the elderly have a negative impact on their loneliness. Chronic diseases such as hypertension and diabetes have no significant effect on the loneliness of the elderly in rural areas, but there is a "severe disease effect"; that is, when chronic diseases develop into serious diseases or acute serious diseases, it can negatively impact the elderly psychologically and produce or deepen their sense of loneliness. Based on the above conclusions, this paper further puts forward relevant policy suggestions from three aspects: constructing a disease prevention and control system for the rural elderly, improving the care and service system for the rural elderly, reshaping rural filial piety culture, and creating a good atmosphere of "respecting, loving and respecting parents" in rural areas.

Peer effects on the adoption of biogas in rural households of Sichuan Province, China.

Encouraging rural residents to adopt biogas is of great practical significance in tackling environmental degradation in China. Based on the survey data of 540 rural households in Sichuan Province, China, this paper studies the peer effects of biogas adoption in rural households, focusing on the influence of relatives and friends on the biogas adoption behavior of rural households. According to whether there is a Chinese New Year visit, the relatives and friends of rural households are divided into strong ties and weak ties. The peer effects are further discussed from the perspective of strong and weak ties, and the probability score matching (PSM) method is used to correct the estimation errors that may be caused by selection bias. In addition, the study further revealed the internal mechanism of peer effects through heterogeneity analysis. The results found that (1) the adoption of biogas by relatives and friends significantly promotes the adoption of biogas in rural households. (2) Compared with relatives and friends who did not visit during the Chinese New Year (weak ties), relatives and friends who visited (strong ties) had a more significant impact on the biogas adoption behavior of rural families. (3) Farmer groups with lower education levels and farther from the market are more affected by the peer effects and are more likely to adopt biogas. The driving effect of biogas behavior choice of relatives and friends on biogas behavior decision of rural households can provide a reference for decision-makers to make relevant measures.

Effects of Conformity Tendencies on Farmers' Willingness to Take Measures to Respond to Climate Change: Evidence from Sichuan Province, China.

Encouraging farmers to respond to climate change is very important for agricultural production and environmental governance. Based on the data of 540 farmers in Sichuan Province, China, the effects of conformity tendencies on farmers' adaptive behavior decisions to climate change were analyzed using the binary logistic model and propensity score matching method (PSM). The results show that (1) relatives' and friends' adaptive behaviors to climate change positively affect farmers' adaptive behaviors to climate change. (2) Compared with relatives and friends who do not visit each other during the New Year (weak ties), the climate change adaptation behavior of relatives and friends who visit each other during the New Year (strong ties) has a more significant impact on the climate change adaptation behavior of farmers. (3) Farmers with higher education levels and agricultural products without disaster experience are more significantly affected by peer effects and more inclined to take measures to respond to climate change. (4) Social networks and social trust play a partially mediating role in the peer effects of farmers' adaptation to climate change, but there are differences between relatives and friends with different strong and weak ties.

The Influence of Land Attachment on Land Abandonment from the Perspective of Generational Difference: Evidence from Sichuan Province, China.

The deepening of rural population aging and the lack of labor transfer cause the phenomenon of land abandonment to become more serious, which threatens regional and even national food security. Based on the survey data of 540 farmers in Sichuan Province, the theoretical analysis framework of land attachment, intergenerational difference and land abandonment was constructed, and Probit and Tobit models were constructed to empirically analyze the influence of land attachment and intergenerational difference on land abandonment. Research results show that: (1) 10.9% of the farmers abandoned their arable land, with an average area of 0.17 mu; the interviewed farmers are mainly of the middle-aged generation; the scores of the three dimensions of farmers' land attachment were all at the above average level. (2) Land dependence has no significant effect on land abandonment, while satisfaction and embeddedness have significant negative effects on land abandonment. (3) There are generational differences in the influence of land attachment on land abandonment. Among them, the land attachment of the middle-aged generation had no significant effect on land abandonment; the satisfaction and embeddedness of the older generation of farmers have negative effects on land abandonment; the satisfaction of the new-generation farmers has a significant negative effect on farmland abandonment. Based on this research, countermeasures and suggestions are put forward: (1) Pay attention to the emotional appeals of farmers and improve their well-being. (2) Cultivate new types of agricultural business entities and stimulate the potential of new human resources.