新文科背景下"双非"院校本科生科研投入程度及影响因素研究——以江西农业大学农林经济管理专业为例
A Study on the Degree of Scientific Research Investment and Influencing Factors of Undergraduate Stu-dents in"Double Non"Universities under the Background of New Liberal Arts:Taking the Major of Agriculture and Forestry Economics and Management of Jiangxi
胡伦1
作者信息
- 1. 江西农业大学经济管理学院 江西·南昌 330044
- 折叠
摘要
以江西农业大学农林经济管理专业本科生为例,了解"双非"院校农林专业本科生的科研投入程度及其影响因素,为优化本科生科研投入制度提供理论依据.调查得出以下结论:"双非"院校农林经济管理专业本科生的科研投入程度较低,且持续时间较短;"不知道如何参与"和"耽误学习"是学生没有参与科研的关键因素;运用二元Probit模型、OLS回归模型分析后发现,年级、性别、党员身份、父亲职业对科研投入决策、科研投入程度和科研投入持续时间有显著正向影响,而年龄具有显著负向影响.
Abstract
Taking the undergraduate students majoring in agriculture and forestry economics and management of Jiangxi Agricultural University as an example,this paper aims to understand the degree of scientific research in-vestment and influencing factors of undergraduate students majoring in agriculture and forestry in"double non"universities,so as to provide a theoretical basis for optimizing the scientific research investment system of under-graduate students.The survey draws the following conclusions:the degree of scientific research investment of un-dergraduate students majoring in agriculture and forestry economics and management in"double non"universi-ties is low and the duration is short;"not knowing how to participate"and"delaying learning"are the key factors hindering undergraduate students'scientific research investment;using the binary Probit model and OLS regres-sion model,it is found that grade,gender,Party membership,and father's occupation had a significant positive impact on the decision-making,degree and duration of scientific research investment,while age had a significant negative effect.
关键词
"双非"院校/农林专业/投入决策/投入程度/投入持续时间/影响因素Key words
"double non"universities/agriculture and forestry majors/investment decision-making/level of in-vestment/duration of investment/influencing factors引用本文复制引用
基金项目
2022年江西省教育科学"十四五"规划基金项目(22YB038)
2022年江西省高等学校教学改革研究省级课题基金项目(JXJG-22-3-12)
2022年教育部全国高等学校农业经济管理类专业教学指导基金项目(NJX22107)
出版年
2024
NETL
NSTL
万方数据