Farmland protection is the most important land science research issue in developing countries, especially in China, due to serious land degradation. This paper aimed to reveal the causal chain among driving factors, farmers' land protection perceptions, behavioral responses, and land quality change by applying a structural equation model (SEM), based on a cross-sectional dataset of 238 households surveyed, and matched plot soil sample results in the Sujiatun District, in Liaoning province, China. The results show that, compared to internal factors, external factors play more important roles in shaping farmers' land protection awareness which subsequently transfer into land protection behaviors. Various land use behaviors lead to different impacts on land quality, in which the crop planting structure and land input density have dominant effects on changes in the soil nutrient content. The results imply that a stable and reasonable price mechanism for agricultural inputs and outputs is meaningful to land protection. Moderate land circulation would help reduce land fragmentation, develop agricultural modernization, improve production efficiency, and achieve economies of scale. In addition, knowledge, training and environmental policy information on farmland protection play key roles in land conservation activities. These main results have important implications for policymakers with regard to promoting land protection activities, alleviating land resource and environmental pressures, and thus achieving the goal of sustainable land use.Sustainability 2018, 10, 3345 2 of 17 will probably adopt some land conservation practices, in terms of using organic fertilizer and formula fertilizer, and these behaviors may further change their perspectives. Therefore, there are important theoretical and practical reasons for investigating the interrelations among farmers' land protection perceptions, behaviors and farmland quality changes from a microcosmic perspective.Some studies have focused on farmers' willingness to protect their farmland, and the influencing factors [19,20]. The characteristics of farm households and farmlands, as well as land protection policies, are closely related to farmers' perceptions of land protection [7,21,22]. Farmers' age and education positively affect land protection awareness, indicating that older farmers with higher levels of education are more likely to form stronger land protection intentions [23]. A dependence on agricultural income plays a promoting role in farmers' willingness towards land protection [24,25]. A sense of moral responsibility also has a positive effect on land protection cognition. Specifically, farmers are more willing to implement farmland conservation, due to a stronger sense of moral responsibility, implying that land protection policy should be focused on motivating farmers' sense of social responsibility [26]. However, land fragmentation seriously weakens farmers' enthusiasm to protect their farmland [27].According to the theory of planned behavior and relevant empir...
The quality of cultivated land has been seriously degraded due to the overuse of chemical fertilizer in China. Land conservation technologies (LCTs) have been proven to effectively address land degradation and improve land productivity. In this study, a multivariate probit model is applied to empirically analyze the correlation effects and determinants of the application of LCTs application using cross-sectional data collected on 690 large-scale grain producers from the Jiangsu and Jiangxi provinces in the middle and lower reaches of the Yangtze River. The sample farmers were individually investigated by face-to-face questionnaires in the field that included around 400 questions. The results revealed that there are significant complementary relationships among farm manure application, commercial organic fertilizer use, and green manure plantation, and between formula fertilization and straw returning. Regarding the determinants, highly educated farmers and farmers with a large farm size and high incomes are more likely to adopt LCTs. The land size variable shows an inverted U-shaped relationship with formula fertilization, with an inflection point at 153 mu (10.20 ha), while showing an U-shaped relationship with commodity organic fertilizer use and green manure plantation technologies, with the turning points at 207 mu (13.80 ha) and 124 mu (8.27 ha), respectively. The results also indicate that extension services from agricultural technicians, agricultural technical information, and policy knowledge variables have positive effects on the application of LCTs, while the subsidy policy variable does not appear to have the expected effect. To promote the application of LCTs, suggestions include improving the extension system, selecting targeted farmers for extension training, expanding environmental policy advocacy to increase farmers’ knowledge about land degradation, and adjusting subsidies.
Conservation tillage technology (CTT) provides a new solution to the problem of cultivated land protection. Using effective policy tools to ensure that farmers adopt conservation tillage technology is crucial to the sustainable utilization of cultivated land resources and the development of agricultural modernization. This study aims to explore the decision-making and the dynamic influence mechanism involved in using policy tools to influence farmers’ technology adoption behaviors by constructing a theoretical framework. Based on survey data of farmers in Liaoning Province, China, the Agent Belief–Desire–Intention (BDI) model is applied. The results show that the implementation of policy tools promotes farmers’ adoption of CTT, but different types of policy tools have different impacts on the decision-making behavior of farmers; a change in the intensity of the policy tools will also cause differences in farmers’ behavioral responses. In addition, policy tools must be implemented in a timely manner, as the number of farmers adopting CTT reaches the maximum within 2-3 years. Based on the above research results, in order to effectively promote farmers’ adoption of CTT, the government should pay attention to the role of information-inducing policy and set flexible policy subsidies and punishment standards.
The dilemma of aging and lack of successors must be understood to improve the scale efficiency and competitiveness of China’s agriculture. This paper uses a survey of 1347 farmers in Liaoning, Jiangsu, and Jiangxi and applies tobit and probit models to explore the impact of intergenerational inheritance on farmland management in terms of the current scale and willingness for expansion. The results show that (1) an increased probability of intergenerational inheritance in agriculture can significantly increase the scale of farmland operations, with a greater effect on the current scale than on the willingness to expand; (2) the scale upgrading effect of agricultural intergenerational inheritance is greater in regions with frequent nonagricultural activities and in families with middle or low-scale farmland operations; and (3) the promotion effect on the current scale is greater for elderly farmers 60 years old or above than for farmers who are 40–59 years old, while the promotion effect on the willingness for expansion exists only for the latter. Therefore, policies should attract young, skilled laborers to return to their hometowns for agricultural employment and entrepreneurship and support farmland transfer and scale operation in regions with frequent nonagricultural activities or a lower scale of agricultural operations.
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