| 托管因素、经营特征对粮农农业生产托管决策的影响 |
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| 引用本文： | 李亚娟,马骥.托管因素、经营特征对粮农农业生产托管决策的影响[J].中国农业大学学报,2022,27(12):28-41. |
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| 作者姓名： | 李亚娟 马骥 |
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| 作者单位： | 中国农业大学 资源与环境学院, 北京 100193; 中国农业大学 国家农业绿色发展研究院, 北京 100193;中国农业大学 经济管理学院, 北京 100083 |
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| 基金项目： | 中德国际研究培训项目(AMAZIZE-P, 328017493/GRK2366)；国家重点研发计划(2016YFD0201303) |
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| 摘 要： | 为探索托管因素等外部特征及经营特征等内部特征对粮农生产托管决策的影响，运用Logit模型及解释性结构模型，基于11省44县市2 060份粮农生产经营数据，对粮农选择农业生产托管的影响因素及不同因素间的关联关系及层级结构进行研究。结果表明：1）耕作面积、种植收入占比、服务价格及示范作用等11个因素均显著影响粮农托管决策，其中，服务认知、示范作用对托管选择有显著正向作用，服务价格则与托管选择负相关，不同经营特征、家庭特征等均在一定程度上显著影响农业生产托管选择；2）分层结果表明，表层因素有4个，包括种植收入占比、服务价格、兼业情况和服务认知，中间间接因素有2个，包括土地耕作便利性和示范作用，深层根源因素有5个，包括耕作面积、经营主体类型、土地细碎化程度、家庭人口数和经济发达程度；3）各因素通过3条路径发生作用，其中，示范作用在提升粮农认知、促进托管决策中至关重要，且以土地特征为主的经营特征作为主要根源和间接驱动因素，可以通过改变要素配置、家庭收益结构及托管成本，优化粮农生产决策。因此，应通过强化标杆示范引领、加大农田基础设施建设、加强市场与政府双调节机制等，提高农户托管认知，规范服务价格，...
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| 关 键 词： | 农业生产托管 粮农决策 层级结构 Logit模型 解释性结构模型 |
| 收稿时间： | 2021/12/27 0:00:00 |
Impacts of trusteeship factors and operating characteristics on farmers' agricultural production trusteeship decisions |
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| LI Yajuan,MA Ji.Impacts of trusteeship factors and operating characteristics on farmers' agricultural production trusteeship decisions[J].Journal of China Agricultural University,2022,27(12):28-41. |
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| Authors: | LI Yajuan MA Ji |
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| Institution: | College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China; National Academy of Agriculture Green Development, China Agricultural University, Beijing 100193, China; College of Economics and Management, China Agricultural University, Beijing 100083, China |
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| Abstract: | In order to explore the impacts of external features such as trusteeship factors and internal features such as operating characteristics on the decision-making on farmers'' agricultural production trusteeship decisions, the Logit model and Interpretative. Structural Modeling were used to analyze the factors affecting the farmers'' choice of agricultural production trusteeship and the correlation and hierarchical structure of different factors based on 2 060 farmer''s production and operation data in 11 provinces and 44 counties. The influencing factors and the relationship between different factors and the hierarchical structure were studied. The results show that: 1)The main affect factors are eleven factors including cultivated area, planting income proportion, service price and demonstration effect. Among them, the service awareness and demonstration effect have a significant positive effect on the choice of agricultural production trusteeship, while the service price is negatively related to farmer''s choice of trusteeship. Different operating characteristics and family characteristics significantly affect the choice of agricultural production trusteeship to a certain extent. 2)The results of stratified analysis show that there are four surface factors(the proportion of planting income, service prices, concurrent business conditions, and service awareness), two intermediate and indirect factors(farming convenience and demonstration effect)and five deep root factors(farming area, type of business entity, degree of land fragmentation, number of households and degree of economic development). 3)Each factor takes effect through three paths. Among them, the role of demonstration in improving farmers'' cognition and decision-making is crucial. The management characteristics dominated by land characteristics is the main source and indirect driving factor, which can optimize farmers'' production decisions by changing factor allocation, household income structure and trustee cost input. In conclusion, a policy recommendation of is put forward as follows: Benchmarking demonstrations should be strengthened to improve farmers'' cognition, increase the construction of farmland infrastructure, strengthen the two-way adjustment mechanism between the market and the government to regulate service prices, etc. to promote the matching of supply and demand in the custody market and the sustainable development of the custody model effectively. |
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| Keywords: | agricultural production trusteeship farmers'' production decisions hierarchical structure Logit model interpretative structural modeling |
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