构建教育产业数字化创新水平以及乡村中学高质量发展水平的指标体系,采用熵权法,对四川省遂宁市及其下辖区域(射洪市、大英县、蓬溪县、安居区、船山区) 2018~2022年教育产业数字化创新水平和乡村中学高质量发展水平进行测度,并建立固...构建教育产业数字化创新水平以及乡村中学高质量发展水平的指标体系,采用熵权法,对四川省遂宁市及其下辖区域(射洪市、大英县、蓬溪县、安居区、船山区) 2018~2022年教育产业数字化创新水平和乡村中学高质量发展水平进行测度,并建立固定效应模型,实证探究教育产业数字化创新与乡村中学高质量发展之间的协同发展关系。研究表明:教育产业数字化创新与乡村中学高质量发展之间并未直接展现出预期的正面协同效应,表明教育产业数字化创新的影响在乡村地区存在时间滞后性。并且乡村中学的生源流失对学校的教育教学质量造成了一定的影响。据此,本文提出通过推动教育产业数字化创新与乡村中学高质量发展来消弭城乡数字鸿沟,促进教育优质均衡发展,从而推动全域教育实现高质量发展的对策建议。This paper constructs an index system for the digital innovation level of the education industry and the high-quality development level of rural middle schools. The entropy weight method is used to measure the digital innovation level of the education industry and the high-quality development level of rural middle schools in Suining City, Sichuan Province and its subordinate areas (Shehong City, Daying County, Pengxi County, Anju District, and Chuanshan District) from 2018 to 2022, and a fixed effect model is established to empirically explore the synergistic development relationship between digital innovation in the education industry and high-quality development of rural middle schools. The study shows that the expected positive synergy effect between digital innovation in the education industry and high-quality development of rural middle schools has not been directly shown, indicating that the impact of digital innovation in the education industry has a time lag in rural areas. In addition, the loss of students in rural middle schools has a certain impact on the quality of education and teaching in schools. Based on this, it is proposed to promote digital innovation in the education industry and high-quality development of rural middle schools, eliminate the urban-rural digital divide, and promote high-quality and balanced development of education. This paper proposes bridging the urban-rural digital divide by promoting digital innovation in the education industry and fostering high-quality development in rural middle schools. This approach aims to advance equitable and high-quality education, thereby driving comprehensive high-quality development in education.展开更多
目的探索社会参与对中国老年人认知功能的影响。方法以2008-2018年中国老年健康影响因素跟踪调查(CLHLS)四期纵向调查数据中2353名≥65岁老年人为基础,通过简易精神状态量表(the Mini Mental State Scale,MMSE)评价其认知功能,同时收集...目的探索社会参与对中国老年人认知功能的影响。方法以2008-2018年中国老年健康影响因素跟踪调查(CLHLS)四期纵向调查数据中2353名≥65岁老年人为基础,通过简易精神状态量表(the Mini Mental State Scale,MMSE)评价其认知功能,同时收集社会人口学特征、社会参与等信息。使用固定效应模型分析社会参与及其程度、类型对老年人认知功能的影响,并分析不同性别、教育水平老年人之间的异质性。结果从2008年到2018年,老年人选择社会参与的占比均在80%以上,且进行社会参与的老年人认知功能得分均在20分以上。社会参与对老年认知功能有显著的正向影响(β=6.979,P<0.001),但对男性和小学学历老年人认知的影响高于女性和文盲。具体而言,看电视听广播(β=2.249,P<0.001)、做家务(β=2.078,P<0.001)和参加户外活动(β=1.539,P<0.001)对老年认知功能得分的正向影响相对更大。从不同特征群体上看,看电视听广播对男性(β=2.605,P<0.001)和小学学历(β=2.087,P<0.001)老年人的认知功能影响更大,而做家务对女性(β=3.372,P<0.001)和文盲(β=3.203,P<0.001)老年人的认知功能影响更大。此外,参加组织活动仅对初中及以上学历老年人的认知功能有显著正向影响(β=0.391,P<0.05)。结论社会参与对我国老年人认知功能有显著的促进作用,应根据不同老年人的特征,制定个性化的干预方案以促进老年人积极社会参与,从而防治和延缓老年人的认知功能衰退,实现健康老龄化。展开更多
文摘构建教育产业数字化创新水平以及乡村中学高质量发展水平的指标体系,采用熵权法,对四川省遂宁市及其下辖区域(射洪市、大英县、蓬溪县、安居区、船山区) 2018~2022年教育产业数字化创新水平和乡村中学高质量发展水平进行测度,并建立固定效应模型,实证探究教育产业数字化创新与乡村中学高质量发展之间的协同发展关系。研究表明:教育产业数字化创新与乡村中学高质量发展之间并未直接展现出预期的正面协同效应,表明教育产业数字化创新的影响在乡村地区存在时间滞后性。并且乡村中学的生源流失对学校的教育教学质量造成了一定的影响。据此,本文提出通过推动教育产业数字化创新与乡村中学高质量发展来消弭城乡数字鸿沟,促进教育优质均衡发展,从而推动全域教育实现高质量发展的对策建议。This paper constructs an index system for the digital innovation level of the education industry and the high-quality development level of rural middle schools. The entropy weight method is used to measure the digital innovation level of the education industry and the high-quality development level of rural middle schools in Suining City, Sichuan Province and its subordinate areas (Shehong City, Daying County, Pengxi County, Anju District, and Chuanshan District) from 2018 to 2022, and a fixed effect model is established to empirically explore the synergistic development relationship between digital innovation in the education industry and high-quality development of rural middle schools. The study shows that the expected positive synergy effect between digital innovation in the education industry and high-quality development of rural middle schools has not been directly shown, indicating that the impact of digital innovation in the education industry has a time lag in rural areas. In addition, the loss of students in rural middle schools has a certain impact on the quality of education and teaching in schools. Based on this, it is proposed to promote digital innovation in the education industry and high-quality development of rural middle schools, eliminate the urban-rural digital divide, and promote high-quality and balanced development of education. This paper proposes bridging the urban-rural digital divide by promoting digital innovation in the education industry and fostering high-quality development in rural middle schools. This approach aims to advance equitable and high-quality education, thereby driving comprehensive high-quality development in education.
文摘目的探索社会参与对中国老年人认知功能的影响。方法以2008-2018年中国老年健康影响因素跟踪调查(CLHLS)四期纵向调查数据中2353名≥65岁老年人为基础,通过简易精神状态量表(the Mini Mental State Scale,MMSE)评价其认知功能,同时收集社会人口学特征、社会参与等信息。使用固定效应模型分析社会参与及其程度、类型对老年人认知功能的影响,并分析不同性别、教育水平老年人之间的异质性。结果从2008年到2018年,老年人选择社会参与的占比均在80%以上,且进行社会参与的老年人认知功能得分均在20分以上。社会参与对老年认知功能有显著的正向影响(β=6.979,P<0.001),但对男性和小学学历老年人认知的影响高于女性和文盲。具体而言,看电视听广播(β=2.249,P<0.001)、做家务(β=2.078,P<0.001)和参加户外活动(β=1.539,P<0.001)对老年认知功能得分的正向影响相对更大。从不同特征群体上看,看电视听广播对男性(β=2.605,P<0.001)和小学学历(β=2.087,P<0.001)老年人的认知功能影响更大,而做家务对女性(β=3.372,P<0.001)和文盲(β=3.203,P<0.001)老年人的认知功能影响更大。此外,参加组织活动仅对初中及以上学历老年人的认知功能有显著正向影响(β=0.391,P<0.05)。结论社会参与对我国老年人认知功能有显著的促进作用,应根据不同老年人的特征,制定个性化的干预方案以促进老年人积极社会参与,从而防治和延缓老年人的认知功能衰退,实现健康老龄化。
基金supported by the Science and Technology Research Program of Chongqing Education Commission(Grant No.KJZD-M202100801)the Fifth Batch of Excellent Talent Support Program of Chongqing Colleges and University(Grant No.68021900601)+4 种基金the Natural Science Foundation of CQ CSTC(Grant No.cstc.2018jcyjA2073)the Program for the Chongqing Statistics Postgraduate Supervisor Team(Grant No.yds183002)the Chongqing Social Science Plan Project(Grant No.2019WT59)the Open Project from Chongqing Key Laboratory of Social Economy and Applied Statistics(Grant No.KFJJ2018066)the Mathematic and Statistics Team from Chongqing Technology and Business University(Grant No.ZDPTTD201906).