Sustainable Intensification and Large-scale Operation of Cultivated Land Use at the Farmers’ Scale:A Case Study of Shandong Province,China

Sustainable intensification of cultivated land use(SICLU) and large-scale operations(LSO) are widely acknowledged strategies for enhancing agricultural performance.However,the existing literature has faced challenges in precisely defining SICLU and constructing comprehensive indicators,which has hindered the exploration of factors influencing LSO within the SICLU framework.To address this gap,we integrated self-efficacy theory into the design of an index framework for evaluating SICLU.We subsequently employed econometric models to analyze the significant factors that impact LSO.Our findings reveal that SICLU can be divided into four key dimensions:intensive management,efficient output,resource conservation,and ecological environment optimization.Furthermore,it is crucial to incorporate belief-based cognitive factors into the index system,as farmers’ understanding of fertilizer and pesticide application significantly influences their willingness to engage in LSO.Moreover,we identify grain market turnover as the most influential factor in promoting LSO,with single-factor contribution rates reaching 70.9% for cultivated land transfer willingness and 62.5% for the total planting areas.Interestingly,unlike irrigation and agricultural machinery inputs,increased labor inputs correspond to larger planting areas for farmers.This trend may be attributed to reduced labor availability because of rural labor migration,whereas the reduction in irrigation and agricultural input is contingent on innovations in production practices and the transfer of cultivated land management rights.Importantly,SICLU dynamically influences LSO,with each index related to SICLU having an optimal range that fosters LSO.These insights offer valuable guidance for policymakers,emphasizing farmers as their central focus,with the adjustment of input and output factors as a means to achieve LSO as the ultimate goal.In conclusion,we propose research avenues for further enriching the SICLU framework to ensure that it aligns with the specific characteristics of regional agricultural development.

Will Online Car-Hailing Affect Consumers’ Decisions about Automobile Purchase?—An Empirical Study Based on Questionnaire Investigation

The online car-hailing industry, which provides the right of use, has a certain impact on the traditional automobile market, but there is no unified theory on whether it has a positive impact or a negative impact. Based on 362 consumer questionnaire data, this study builds a structural equation model to discuss the driving factors of residents’ choice of online car-hailing and whether the development of online car-hailing will have a certain substitution impact on the sales of private cars. From the perspective of consumers’ purchase intention, the research results show that consumers’ price consciousness, convenience consciousness, environmental protection consciousness and possession tendency will affect their choice of travel mode, and the use of online car-hailing is positively correlated with consumers’ willingness to replace private car ownership with online car-hailing.

基于结构方程模型的老年人移动医疗服务使用意愿影响因素及路径分析:以上海市为例

目的 了解上海市老年人移动医疗服务使用意愿的影响因素,为制定有针对性的干预策略提供依据。方法对上海市406名老年人进行问卷调查,运用SPSS 26.0和AMOS 26.0进行描述统计、单因素秩和检验、相关分析和结构方程模型检验。结果 上海市老年人移动医疗服务使用意愿得分为(3.72±0.87)分。不同年龄段、文化程度、职业、收入水平和居住方式老年人的使用意愿差异分别有统计学意义(P <0.05)。社会影响、绩效期望、便利条件、努力期望和健康态度会对使用意愿产生直接或间接的正向影响,总效应分别为0.246、0.330、0.633、0.160和0.093。抵触改变和技术焦虑对使用意愿有间接的负向影响,总效应分别为-0.043和-0.054。各路径间的效应均有统计学意义(P <0.05)。结论 上海市老年人移动医疗服务使用意愿有待提升,应重点关注使用意愿较低的群体,从各维度影响因素入手提高老年人的使用意愿。

劳动力变动背景下耕地利用隐性形态影响因素分析——基于农户生产投入意愿与行为视角

Land use transition occurs through changes in land use morphologies.The decision-making and land use behavior of farmers is the main factor that causes changes in the land use system and subsequent transitions of land use.This study focused on the recessive morphologies of farmland based on the investment in agricultural production inputs by farmers,and established an analytical framework based on induced technological innovation theory and farmers’ behavior theory,which followed the pathway of “objective-willingnessbehavior.” Using survey data for farming households in two counties(Shouguang and Yiyuan) in Shandong province,the main factors influencing farmers’ willingness to invest in agricultural production and their differences under the background of labor force changes were comprehensively analyzed with a binary logistic model and ordinary least squares(OLS) regression model.The aim was to provide decision-making guidance for promoting farmland use transition.There were three key results.(1) The scale management objectives of a farmer were limited,with 75% of farmers intending to maintain the current farmland management scale,and planning to retire at an advanced age,although there were regional differences in these phenomena.(2) Farmers’ willingness to invest in agricultural production inputs was closely related to agricultural production objectives,farmland use,and agricultural production,whereas the labor structure had no significant effect.Farmers’ behavior toward investment in agricultural production inputs was negatively related to their expected retirement age.Changes in the household labor structure were an important factor boosting farmers’ investment in agricultural production inputs.(3) It is essential to better understand the cognitive level and structure of farmers,and the characteristics of the labor structure and type of agricultural development could be combined to improve the farmers’ cognitive level and willingness to adopt scale management objectives and generate behavioral responses.Using the dual scale of “land + service” would overcome the structural obstacles faced by farmers,and effectively play the role of providing both policy incentives and regulation.