创业不仅可以活跃经济、提供就业岗位改善民生,还可以促进协同创新赋能高质量发展。由此,为探究数字化转型背景下创业活跃度的影响因素,本文选择了2011~2021年的全国31个省份的面板数据,从全局的角度出发,综合考虑已有研究中所涉及的22...创业不仅可以活跃经济、提供就业岗位改善民生,还可以促进协同创新赋能高质量发展。由此,为探究数字化转型背景下创业活跃度的影响因素,本文选择了2011~2021年的全国31个省份的面板数据,从全局的角度出发,综合考虑已有研究中所涉及的22个因素对创业活跃度的影响。首先,考虑到创业活跃度影响因素间的相关性,本文通过利用因子分析对变量进行降维;其次,利用固定效应模型探究各因子对创业活跃度的影响效应;最后,考虑到影响因素众多,为确切地分析各因素对创业活跃度的影响程度,本文利用随机森林对变量重要性进行分析。分析结果显示:数字化水平、社会经济和创业成本显著影响于创业活跃度,影响度最大的绿色金融的发展目前对地方创业活跃起着抑制作用。虽然绿色转型已成为目前企业发展的主要方向,但是由于目前绿色金融市场的目标客户仍是“大型”和“重污”企业,加上较为单一的产品使得小微企业很难在其中找到自己的位置,从而抑制了创业活跃度。本文的结论对于促进数字化转型背景下地方创业活跃度具有重要的启示意义。Entrepreneurship can not only activate the economy, provide jobs and improve people’s livelihood, but also promote collaborative innovation and empower high-quality development. To explore the factors influencing entrepreneurial activity in the context of digital transformation, this study utilizes panel data from 31 provinces across China from 2011 to 2021. It takes a holistic approach, considering the impact of 22 factors from existing research on entrepreneurial activity. Firstly, considering the correlation between factors affecting entrepreneurial activity, this article uses factor analysis to reduce the dimensionality of variables. Secondly, using the fixed-effect model, we explore the impact of various factors on entrepreneurial activity. Finally, considering the numerous influencing factors, in order to accurately analyze the impact of each factor on entrepreneurial activity, this article uses random forest to analyze the importance of variables. The analysis results show that the level of digitalization, socio-economic factors, and entrepreneurial costs significantly affect entrepreneurial activity. The development of green finance, which has the greatest impact, currently has an inhibitory effect on local entrepreneurial activity. Although green transformation has become the main direction of enterprise development, due to the fact that the target customers of the current green financial market are still “large” and “heavy pollution” enterprises, coupled with relatively single products, it is difficult for small and micro enterprises to find their own position in it, thus inhibiting entrepreneurial activity. The conclusions of this article have important implications for promoting local entrepreneurial activity in the context of digital transformation.展开更多
目的探究老年人社交活跃度与抑郁之间的关系,并分析衰弱的中介作用。方法选取2023年11月发布的第五轮中国健康与养老追踪调查数据,将2776名老年人群为研究对象,进行统计学分析;使用Process v 4.2插件的模型4、Pearson相关分析和Bootstra...目的探究老年人社交活跃度与抑郁之间的关系,并分析衰弱的中介作用。方法选取2023年11月发布的第五轮中国健康与养老追踪调查数据,将2776名老年人群为研究对象,进行统计学分析;使用Process v 4.2插件的模型4、Pearson相关分析和Bootstrap重复抽样法对衰弱、社交活跃度和抑郁进行分析和中介效应检验。结果老年人群中衰弱的发生率为31.4%,高社交活跃度为46.5%,抑郁发生率为10.73%。衰弱与社交活跃度呈负相关(r=-0.154,P<0.01);衰弱与抑郁呈正相关(r=0.274,P<0.01);社交活跃度与抑郁呈负相关(r=-0.098,P<0.01)。回归分析结果发现,社交活跃度对抑郁的影响显著(β=-0.0575,P<0.001),而衰弱状态对抑郁有显著影响(β=0.2656,P<0.001)。中介效应分析发现总效应值-0.1110,直接效应值-0.0649,占比58.5%,间接效应值-0.0461,占比41.5%。结论老年人衰弱检出率较高,抑郁检出率较低,社交活跃度和衰弱均是老年人抑郁的影响因素,衰弱在老年人社交活跃与抑郁之间起到部分中介作用。展开更多
文摘创业不仅可以活跃经济、提供就业岗位改善民生,还可以促进协同创新赋能高质量发展。由此,为探究数字化转型背景下创业活跃度的影响因素,本文选择了2011~2021年的全国31个省份的面板数据,从全局的角度出发,综合考虑已有研究中所涉及的22个因素对创业活跃度的影响。首先,考虑到创业活跃度影响因素间的相关性,本文通过利用因子分析对变量进行降维;其次,利用固定效应模型探究各因子对创业活跃度的影响效应;最后,考虑到影响因素众多,为确切地分析各因素对创业活跃度的影响程度,本文利用随机森林对变量重要性进行分析。分析结果显示:数字化水平、社会经济和创业成本显著影响于创业活跃度,影响度最大的绿色金融的发展目前对地方创业活跃起着抑制作用。虽然绿色转型已成为目前企业发展的主要方向,但是由于目前绿色金融市场的目标客户仍是“大型”和“重污”企业,加上较为单一的产品使得小微企业很难在其中找到自己的位置,从而抑制了创业活跃度。本文的结论对于促进数字化转型背景下地方创业活跃度具有重要的启示意义。Entrepreneurship can not only activate the economy, provide jobs and improve people’s livelihood, but also promote collaborative innovation and empower high-quality development. To explore the factors influencing entrepreneurial activity in the context of digital transformation, this study utilizes panel data from 31 provinces across China from 2011 to 2021. It takes a holistic approach, considering the impact of 22 factors from existing research on entrepreneurial activity. Firstly, considering the correlation between factors affecting entrepreneurial activity, this article uses factor analysis to reduce the dimensionality of variables. Secondly, using the fixed-effect model, we explore the impact of various factors on entrepreneurial activity. Finally, considering the numerous influencing factors, in order to accurately analyze the impact of each factor on entrepreneurial activity, this article uses random forest to analyze the importance of variables. The analysis results show that the level of digitalization, socio-economic factors, and entrepreneurial costs significantly affect entrepreneurial activity. The development of green finance, which has the greatest impact, currently has an inhibitory effect on local entrepreneurial activity. Although green transformation has become the main direction of enterprise development, due to the fact that the target customers of the current green financial market are still “large” and “heavy pollution” enterprises, coupled with relatively single products, it is difficult for small and micro enterprises to find their own position in it, thus inhibiting entrepreneurial activity. The conclusions of this article have important implications for promoting local entrepreneurial activity in the context of digital transformation.
文摘目的探究老年人社交活跃度与抑郁之间的关系,并分析衰弱的中介作用。方法选取2023年11月发布的第五轮中国健康与养老追踪调查数据,将2776名老年人群为研究对象,进行统计学分析;使用Process v 4.2插件的模型4、Pearson相关分析和Bootstrap重复抽样法对衰弱、社交活跃度和抑郁进行分析和中介效应检验。结果老年人群中衰弱的发生率为31.4%,高社交活跃度为46.5%,抑郁发生率为10.73%。衰弱与社交活跃度呈负相关(r=-0.154,P<0.01);衰弱与抑郁呈正相关(r=0.274,P<0.01);社交活跃度与抑郁呈负相关(r=-0.098,P<0.01)。回归分析结果发现,社交活跃度对抑郁的影响显著(β=-0.0575,P<0.001),而衰弱状态对抑郁有显著影响(β=0.2656,P<0.001)。中介效应分析发现总效应值-0.1110,直接效应值-0.0649,占比58.5%,间接效应值-0.0461,占比41.5%。结论老年人衰弱检出率较高,抑郁检出率较低,社交活跃度和衰弱均是老年人抑郁的影响因素,衰弱在老年人社交活跃与抑郁之间起到部分中介作用。
