Willingness of Farmers to Transform Vacant Rural Residential Land into Cultivated Land in a Major Grain-Producing Area of Central China

Study on the spatio-temporal evolution and influencing factors of farmland abandonment on a county scale

The protection of farmland resources is related to world food security, as well as the smooth realization of the goals of UN 2030 Agenda for Sustainable Development and China's Rural Revitalization Plan. As the most active region in the global economic development and one of the main grain producing areas, the problem of farmland abandonment in the Yangtze River Delta gradually appears with the rapid development of urbanization. Therefore, based on the interpretation data of remote sensing images and field survey data of three periods in 2000, 2010, and 2018, this study used Moran's I and geographical barycenter model to reveal the spatiotemporal evolution law of farmland abandonment in Pingyang County of the Yangtze River Delta. And then, this study selected 10 indicators covering four categories: geography, proximity, distance, and policy, and used random forest model to reveal the main influencing factors of farmland abandonment in the study area. The results showed that the abandoned farmland increased from 441.58 hm² in 2000 to 5797.40 hm² in 2018. The hot spot and barycenter of land abandonment gradually shifted from the western mountainous areas to the eastern plain areas. Altitude and slope were the main factors affecting the farmland abandonment. The high the altitude and the great the slope, the farmland abandonment in mountainous areas were serious. The proximity factors had a greater impact on the expansion of farmland abandonment from 2000 to 2010, and then the impact weakened. In view of the above analysis, the countermeasures and suggestions for maintaining food security were finally put forward.

Theoretical Development Model for Rural Settlements against Rural Shrinkage: An Empirical Study on Pingyin County, China

China’s rural areas face population loss and expanded residential land in the context of rapid urbanization. The increasing hollowing of villages leads to extensive land use, making it necessary to optimize and consolidate rural settlements immediately. Therefore, how to choose an appropriate development model for rural settlements is at issue. This article builds a theoretical development model for rural settlements based on their primary development conditions and spatial patterns. It determines the development model according to the classification matrix formed by interweaving different elements in each dimension. Finally, it demonstrates the model through a case study on Pingyin County, China. The empirical findings for Pingyin County are as follows. (1) The scale of rural settlements increased from 2010 to 2020, and the agglomeration and spatial correlation intensified, but they tended to be irregular. (2) The various elements of the development foundation showed apparent spatial differentiation, and the spatial distribution of rural settlements at different levels presented a core–edge structure. (3) The development of rural settlements was reduced to six models: in-situ urbanization, satellite urbanization, competitive-industry-driven, characteristic-tourism-driven, modern-agriculture-driven, and village relocation. Finally, the article proposes different development paths for different development models.

Three-Dimensional Spatial Distribution and Influential Factors of Soil Total Nitrogen in a Coal Mining Subsidence Area

Soil nitrogen is very important for crop growth and development. However, the factors affecting the three-dimensional spatial distribution of soil total nitrogen (TN), particularly in coal mining subsidence areas, are unclear. In this study, Markov geostatistics was used to analyse the three-dimensional spatial distribution characteristics and influential factors of TN by examining 180 soil samples from the Zhaogu mine in China. The results showed that the TN content was significantly different at different soil depths (0–20, 20–40, 40–60 cm) and decreased with increasing soil depth. The variation coefficient of the TN content decreased gradually from top to bottom, ranging from 18.18 to 25.62%. In addition, the TN content was greatly affected by mining subsidence, rainfall, irrigation, fertilization and management mode. The factors that influenced the TN content also varied across different slope positions. The TN content of the upslope was the highest, and the TN content of the middle slope was the lowest. These results can provide research ideas and technical countermeasures for ecological environment improvement and sustainable land development in coal mining subsidence areas.

Farmers’ Satisfaction and its Influencing Factors in the Policy of Economic Compensation for Cultivated Land Protection: A Case Study in Chengdu, China

With the rapid progress of urbanization, the loss of cultivated land has attracted great attention worldwide, and economic compensation is one of the incentives commonly used by the governments to enhance farmers’ enthusiasm in protecting cultivated land. In recent years, although various economic compensation modes have been implemented by the Chinese government, such modes are still experimental and exploratory. Thus, designing and implementing a national economic compensation mode is urgent to effectively protect the quantity and quality of cultivated land. This study focuses on the mode of cultivated land protection fund (CLPF) in Chengdu, which is the earliest mode of the implementation of economic compensation in China in 2008. First, we analyzed the farmers’ satisfaction with the CLPF through a face-to-face interview with 296 farmers in Chengdu. Then, we used the path analysis method to identify the influencing factors of farmers’ satisfaction from the characteristics of farmers and the policy. Results show that the CLPF was generally supported by farmers. Nevertheless, room for improvement still exists. Particularly, farmers’ satisfaction was low in the design of the government’s supervision management of the CLPF. Farmers’ satisfaction with compensation standard, funding use requirement, and the government’s supervision management were remarkably affected by factors, including farmers’ educational level, cultivated land area, total annual agricultural income, farmers’ knowledge of the CLPF, farmers’ recognition of the value of the CLPF, and farmers’ perception of the changes in household economics. Particularly, the direct influence of farmers’ perception of the changes in household economics was the most important. Finally, we proposed the recommendations for constructing a national economic compensation mode for cultivated land protection. Our results have certain guiding significance for promoting the sustainable development of cultivated land protection policies by means of economic incentives in China and other countries.

Green Manure Planting Incentive Measures of Local Authorities and Farmers’ Perceptions of the Utilization of Rotation Fallow for Sustainable Agriculture in Guangxi, China

Planting green manure in fallow croplands in winter can bring various economic and environmental benefits, including increased food production, carbon capture and sequestration, soil retention, sandstorm prevention, water retention, and provision of habitat for biodiversity. However, the increased production cost of planting green manure reduces farmers’ willingness to adopt this approach, which is unfavorable for its sustainability. This research aims to investigate the influence of instrumental variables on farmers’ perceptions of sustainable agriculture practices, especially the use of rotation fallow, and tries to understand the relationship between farmers’ perceptions of using rotation fallow and planting green manure under incentive measures adopted by local authorities in Guangxi Province, China. Using simultaneous equation models, the results show that subsidies and planting training were the most important drivers for restoring green manure planting in the target region. These incentive measures could be further enhanced as a priority to restore green manure planting. The study also finds that socioeconomic factors such as farmer’s income, area of farmland, and labor for agricultural production have a certain influence on planting green manure planting and on farmers’ perceptions of using rotation fallow as a form of sustainable agriculture practice.

Factors Influencing Farmer’s Decision-Making Behavior on Rural Construction Land Transformation

In order to protect cultivated land and balance farmers’ needs and shortage of land, the Chinese government introduced policies to rearrange land use in rural areas. However, many problems, such as unused rural construction land and illegally occupied land, have occurred through implementing land use policies. Rural construction land transformation has been promoted to solve these problems. This transformation was designed to let farmers voluntarily transforming their idle rural construction land. Then, local government could rearrange village layout for developing cultivation, industry and green space. Therefore, in order to analyze the factors that influenced farmers’ decision-making behavior in rural construction land transformation, household surveys were conducted in four typical villages in Jizhou District. After using the Probit model to analyze the data, the results indicated that the willingness to settle in the city, the mode of housing resettlement, the mode of compensation, the rationality of the measurement standards, and the annual total household income positively affected the willingness of farmers to transform their rural construction land. The strong willingness to settle in the city dominated the other factors. Moreover, the age and amount of construction land, the method of construction land acquisition, and the amount of cultivated land negatively affected the decision-making behavior during the transformation of rural construction land. Based on the influencing factors, policy suggestions are proposed from the perspectives of establishing an orderly transformation mechanism, implementing priority transformation, and providing compensation for transforming rural construction land.

Factors affecting pesticide safety behaviour: The perceptions of Nepalese farmers and retailers

Indiscriminate use of pesticides in vegetable farming is an emerging problem resulting in increasing health and environmental risks in developing countries including Nepal. As there are limited studies focusing on farmers' and retailers' knowledge related to pesticide use and associated risks as well as safety behaviour, this study assesses their perceptions of pesticide use, associated impacts on human and environmental health and safety behaviours. This study is also intended to quantify pesticide use in vegetable farming. We used the Health Belief Model (HBM) to evaluate farmers' and retailers' safety behaviour associated with pesticides. We interviewed 183 farmers and 45 retailers. The study revealed that farmers applied pesticides at an average of 2.9kga.i./ha per crop per season; and insecticides, especially pyrethrins and pyrethroids as well as organophosphate, were the most frequently used. Retailers were more aware of the threats surrounding pesticide use and were thus more aware of the risks to their own health as well as to the health of animals, birds, fishes, and honey bees. Headache (73.8%) was the most commonly reported acute health symptom of pesticide use. Farmers often did not adopt the appropriate safety measures when handling pesticides sighting the constrained perceived barriers (direct path coefficient, DPC=-0.837) such as feeling uncomfortable and the unavailability of safety measures. Likewise, retailers lacked the incentive (direct path coefficient, DPC=0.397) to adopt the necessary safety measures while handling pesticides. Training and awareness programs addressing safe handling practices and safety measures as well as education concerning the long-term risks of pesticide exposure on health and the environment, through radio, television and posters, may improve the safety behaviour of farmers and retailers.