农户参与农耕文化保护和传承意愿研究
Study on Farmers' Willingness to Participate in the Protection and Inheritance of Farming Culture
饶俊杰 1张国宝1
作者信息
摘要
农耕文化作为中华文明发展的根基,对文化强国和农业强国建设具有重大意义和关键价值.基于计划行为理论剖析影响农户参与农耕文化保护和传承意愿的因素,以蚌埠市五河县刘朵村为研究区域,通过走访调查收集数据,利用二元Logistic回归模型进行实证分析.研究结果表明:农耕文化的经济价值、社会价值、邻居朋友的带动、基层政府的宣传、参与农耕文化活动的精力和能力以及受教育水平对于农户参与农耕文化保护和传承意愿有显著的正向影响.因此,在推动农耕文化发展中,要切实增强农户的主体意识,加强政府的宣传和推广力度,显现农耕文化的经济价值和社会价值,鼓励农户参与农耕文化发展事业,发挥村干部的示范带头作用,提高农户的自我效能感,调动农户的参与积极性,保障农耕文化稳步有序发展.
Abstract
As the foundation of the development of Chinese civilization, farming culture is of great significance and key value to the construc-tion of a strong cultural and agricultural country.Based on the theory of planned behavior, this paper analyzes the factors that affect farmers' willingness to participate in the protection and inheritance of farming culture.Taking Liuduo Village, Wuhe County, Bengbu City, as the re-search area, data is collected through interviews and surveys, and a binary Logistic regression model is used for empirical analysis.The results show that the economic value and social value of farming culture, the promotion of neighbors and friends, the propaganda of grassroots govern-ments, the energy and ability to participate in farming cultural activities, and the level of education have significant positive effects on farmers' willingness to participate in the protection and inheritance of farming culture.Therefore, in promoting the development of farming culture, it is necessary to enhance the main body consciousness of farmers, strengthen the publicity and promotion of the government, show the economic value and social value of farming culture, encourage farmers to participate in the development of farming culture, give play to the demonstra-tion and leading role of village cadres, improve the self-efficacy of farmers, mobilize the enthusiasm of farmers to participate, and ensure the steady and orderly development of farming culture.
关键词
农户/农耕文化/计划行为理论/二元Logistic回归模型Key words
Farmer household/Farming culture/Theory of planned behavior/Binary Logistics regression model引用本文复制引用
基金项目
安徽省科技厅省重点研究与开发项目(201904a06020024)
安徽省高等学校科学重大研究项目(2023AH040269)
出版年
2024
国家科技期刊平台
NSTL
万方数据