检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:朱婷[1] 夏英[1] Zhu Ting;Xia Ying(Institute of Agricultural Economics and Development,CAAS,Beijing 100081,China)
机构地区:[1]中国农业科学院农业经济与发展研究所,北京100081
出 处:《新疆农垦经济》2022年第6期10-19,共10页Xinjiang State Farms Economy
基 金:国家社会科学基金重大项目(项目编号:2019MZD009)。
摘 要:数字乡村发展战略和农业供给侧结构性改革背景下,如何提高农村地区电商渗透率成为理论界关注的热点问题,但鲜有研究针对已有研究成果展开对比分析和综合阐述。为检验有关“农户参与电商行为影响因素”现有实证结论和研究特征是否有关联性,文章在严格择取国内实证文献基础上,分别采用Logit模型和Probit模型对样本文献进行荟萃回归分析。结果发现,研究背景特征和研究方法特征是导致该研究主题结论相异的重要原因,其中“自变量个数”“样本量”“回归方法”等研究特征同步作用于总体显著性和单向显著性。因此,本研究认为该主题后续研究要着重研究指标选择、注重问卷设计和模型构建,以保障实证研究的稳健性和可靠性。Under the background of Digital Village Development Strategy and the Reform of the Agricultural Supply-side Structure,how to improve the penetration rate of e-commerce has been a hot topic in theorists, but few studies have probed into the compara-tive analysis and summary elaboration of existing research results. To clarify whether there is a correlation between the existing em-pirical conclusions and research characteristics of the“influencing factors of e-commerce participation on the farmers’ behavior”,this article uses the Logit and the Probit to conduct a meta-regression analysis on the sample literature on the basis of strictly se-lecting domestic empirical literature. The results show that the characteristics of research background and research methods are im-portant reasons for the different conclusions of this specific studies, in which the research characteristics such as variables’ num-ber, sample size and regression method affect overall significance and one-way significance. Therefore, it is suggested that follow-up research on this topic should focus on the selection of research indicators, questionnaire design and model construction to en-sure the robustness and reliability of empirical research.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.33