探店是指人们去餐厅用餐时,用拍摄、拍照等方式进行分享的一种方式。在我国,“探店经济”已经成为新的产业,2022年,抖音里关于探店视频的播放量已突破千亿次。论文通过对探店行业目前的状况进行分析,对该行业的进一步发展提出建议,具有...探店是指人们去餐厅用餐时,用拍摄、拍照等方式进行分享的一种方式。在我国,“探店经济”已经成为新的产业,2022年,抖音里关于探店视频的播放量已突破千亿次。论文通过对探店行业目前的状况进行分析,对该行业的进一步发展提出建议,具有重要的现实意义。论文分析了不同年龄和性别的人在选择探店视频时考虑的影响因素是否有差异;分析了不同性别和年龄的人对探店视频爆火的原因是否有差异,以及他们的影响程度如何;可以根据哪些变量预测观看探店视频的频率和是否会选择博主推荐的餐厅;指出了探店行业的问题及解决措施。分析的数据源于发放并回收的607份问卷,而分析方法为描述性统计、信效度分析、独立样本T检验、单因素方差、神经网络分析。分析结果表明,不同性别的人对于选择探店视频所受到的种种影响程度和探店视频爆火原因的重要程度上无差异;不同年龄的人对于选择探店视频所受到的种种影响程度和探店视频爆火原因的重要程度上有差异;可根据人们认为在选择探店视频时探店博主的粉丝人气的重要程度预测观看视频的频率;可根据人们对更多专业厨师加入探店队伍对探店视频爆火的影响程度预测是否会选择博主推荐的餐厅。解决探店视频问题的建议:商家要守法经营、探店博主需诚信探店、相关部门要加强监管、消费者要提升自我保护意识、视频平台要完善审核鼓励机制。Exploration restaurant refers to a way for people to share information through photography and other means when dining in a restaurant. In China, the “exploration restaurant economy” has become a new industry. In 2022, the number of videos about exploration restaurant in TikTok has exceeded 100 billion times. The thesis analyzes the current situation of the exploration restaurant industry and provides suggestions for its further development, which has important practical significance. The thesis analyzes whether there are differences in the influencing factors considered by people of different ages and genders when choosing exploration restaurant videos;analyzes whether there are differences in the reasons for the popularity of store exploration videos among people of different genders and ages, and how much influence they have;based on which variables can we predict the frequency of watching exploration restaurant videos and whether people will choose restaurants recommended by bloggers;and points out the problems and solutions in the exploration restaurant industry. The analyzed data comes from 607 questionnaires distributed and collected. The analysis methods include descriptive statistics, reliability and validity analysis, independent sample T-test, one-way ANOVA, and neural network analysis. The analysis results show that there is no difference in the degree of influence and importance of the reasons for the popularity of exploration restaurant videos among people of different genders;there are differences in the degree of influence and importance of the reasons for the popularity of exploration restaurant videos among people of different ages;the frequency of watching a exploration restaurant video can be predicted based on the importance of the fan popularity of the exploration restaurant blogger when people consider it;we can predict whether people will choose restaurants recommended by bloggers based on the impact of more professional chefs joining the search team on the popularity of search videos. Suggestions for solving the problem of exploration restaurant videos: merchants should operate in accordance with the law, exploration restaurant bloggers should have integrity, relevant departments should strengthen supervision, consumers should enhance self-protection awareness, and video platforms should improve audit and incentive mechanisms.展开更多
本文深入探讨了福州市财政收入的影响因素及其预测方法,首先运用描述性统计分析、Pearson相关性分析等方法,对影响福州市财政收入的关键因素进行了初步分析,揭示了各因素之间的相关性和变化趋势。其次,为减轻多重共线性对模型预测准确...本文深入探讨了福州市财政收入的影响因素及其预测方法,首先运用描述性统计分析、Pearson相关性分析等方法,对影响福州市财政收入的关键因素进行了初步分析,揭示了各因素之间的相关性和变化趋势。其次,为减轻多重共线性对模型预测准确性和稳定性的不利影响,本文采用了逐步回归法、岭回归法以及Lasso回归法来进行数据拟合。结果表明,Lasso回归表现出色,能够准确识别对财政收入影响最为显著的变量,这为政策制定提供了有力的实证依据。然后运用ARIMA模型对关键因素数值进行预测,得到2023年及2024年财政总收入预测值。最后,文章总结了研究的主要结论和政策建议,强调政府应加强对财政收入的预测和管理,制定科学合理的财政政策,以促进经济的可持续增长。This article deeply explores the influencing factors and prediction methods of Fuzhou’s fiscal revenue. Firstly, descriptive statistical analysis, Pearson correlation analysis and other methods are used to conduct a preliminary analysis of the key factors affecting Fuzhou’s fiscal revenue, revealing the correlation and changing trends between each factor. Secondly, in order to mitigate the adverse effects of multicollinearity on the accuracy and stability of model predictions, this paper used stepwise regression, ridge regression, and Lasso regression to fit the data. The results indicate that Lasso regression performs better and can accurately identify the variables that have the most significant impact on fiscal revenue, providing strong empirical evidence for policy-making. Then, the ARIMA model is used to predict the key factor values and obtain the predicted total fiscal revenue for 2023 and 2024. Finally, the article summarizes the main conclusions and policy recommendations of the research, emphasizing that the government should strengthen the prediction and management of fiscal revenue, formulate scientific and reasonable fiscal policies, and promote sustainable economic growth.展开更多
自知识付费兴起以来,大学生群体的知识付费规模迅速扩大。到今天,知识付费行业已经发展到一个相对成熟的水平,但依然存在监管缺失、营销程度与内容不匹配、内容同质化等问题。为了解大学生知识付费情况,从而为知识付费行业的进一步发展...自知识付费兴起以来,大学生群体的知识付费规模迅速扩大。到今天,知识付费行业已经发展到一个相对成熟的水平,但依然存在监管缺失、营销程度与内容不匹配、内容同质化等问题。为了解大学生知识付费情况,从而为知识付费行业的进一步发展提供参考,本研究通过问卷调查,结合描述性统计分析、列联分析、Logistic回归方法,对大学生知识付费现状及其对知识付费的满意度进行分析。研究发现,大学生偏好阅读付费和线上课程付费模式、关注个人专业技能的提升和未来的职业规划,但版权意识有待加强。建议大学生理性消费、增强版权意识;知识付费平台增强个性化服务、加快内容更新;监管者加强监管、宣传版权保护。Since the rise of knowledge payment industry, the scale of knowledge payment of college students has expanded rapidly. Today, the knowledge payment industry has developed to a relatively mature level, but there are still problems such as lack of supervision, mismatch between marketing degree and content, and homogenization of content. In order to explore the situation of college students’ knowledge payment and provide a reference for the further development of the knowledge payment industry, this paper analyzed the current situation of college students’ knowledge payment and their satisfaction with knowledge payment through questionnaire survey, combined with descriptive statistical analysis, cross-tabulation analysis and logistic regression. The results show that college students prefer to pay for reading and online courses, and pay attention to the improvement of personal professional skills and future career planning, but the awareness of copyright needs to be strengthened. We suggest that college students should engage in rational consumption and improve their copyright awareness;knowledge payment platforms should enhance personalized services and accelerate content updates;and regulators should strengthen supervision and promote copyright protection.展开更多
文摘探店是指人们去餐厅用餐时,用拍摄、拍照等方式进行分享的一种方式。在我国,“探店经济”已经成为新的产业,2022年,抖音里关于探店视频的播放量已突破千亿次。论文通过对探店行业目前的状况进行分析,对该行业的进一步发展提出建议,具有重要的现实意义。论文分析了不同年龄和性别的人在选择探店视频时考虑的影响因素是否有差异;分析了不同性别和年龄的人对探店视频爆火的原因是否有差异,以及他们的影响程度如何;可以根据哪些变量预测观看探店视频的频率和是否会选择博主推荐的餐厅;指出了探店行业的问题及解决措施。分析的数据源于发放并回收的607份问卷,而分析方法为描述性统计、信效度分析、独立样本T检验、单因素方差、神经网络分析。分析结果表明,不同性别的人对于选择探店视频所受到的种种影响程度和探店视频爆火原因的重要程度上无差异;不同年龄的人对于选择探店视频所受到的种种影响程度和探店视频爆火原因的重要程度上有差异;可根据人们认为在选择探店视频时探店博主的粉丝人气的重要程度预测观看视频的频率;可根据人们对更多专业厨师加入探店队伍对探店视频爆火的影响程度预测是否会选择博主推荐的餐厅。解决探店视频问题的建议:商家要守法经营、探店博主需诚信探店、相关部门要加强监管、消费者要提升自我保护意识、视频平台要完善审核鼓励机制。Exploration restaurant refers to a way for people to share information through photography and other means when dining in a restaurant. In China, the “exploration restaurant economy” has become a new industry. In 2022, the number of videos about exploration restaurant in TikTok has exceeded 100 billion times. The thesis analyzes the current situation of the exploration restaurant industry and provides suggestions for its further development, which has important practical significance. The thesis analyzes whether there are differences in the influencing factors considered by people of different ages and genders when choosing exploration restaurant videos;analyzes whether there are differences in the reasons for the popularity of store exploration videos among people of different genders and ages, and how much influence they have;based on which variables can we predict the frequency of watching exploration restaurant videos and whether people will choose restaurants recommended by bloggers;and points out the problems and solutions in the exploration restaurant industry. The analyzed data comes from 607 questionnaires distributed and collected. The analysis methods include descriptive statistics, reliability and validity analysis, independent sample T-test, one-way ANOVA, and neural network analysis. The analysis results show that there is no difference in the degree of influence and importance of the reasons for the popularity of exploration restaurant videos among people of different genders;there are differences in the degree of influence and importance of the reasons for the popularity of exploration restaurant videos among people of different ages;the frequency of watching a exploration restaurant video can be predicted based on the importance of the fan popularity of the exploration restaurant blogger when people consider it;we can predict whether people will choose restaurants recommended by bloggers based on the impact of more professional chefs joining the search team on the popularity of search videos. Suggestions for solving the problem of exploration restaurant videos: merchants should operate in accordance with the law, exploration restaurant bloggers should have integrity, relevant departments should strengthen supervision, consumers should enhance self-protection awareness, and video platforms should improve audit and incentive mechanisms.
文摘本文深入探讨了福州市财政收入的影响因素及其预测方法,首先运用描述性统计分析、Pearson相关性分析等方法,对影响福州市财政收入的关键因素进行了初步分析,揭示了各因素之间的相关性和变化趋势。其次,为减轻多重共线性对模型预测准确性和稳定性的不利影响,本文采用了逐步回归法、岭回归法以及Lasso回归法来进行数据拟合。结果表明,Lasso回归表现出色,能够准确识别对财政收入影响最为显著的变量,这为政策制定提供了有力的实证依据。然后运用ARIMA模型对关键因素数值进行预测,得到2023年及2024年财政总收入预测值。最后,文章总结了研究的主要结论和政策建议,强调政府应加强对财政收入的预测和管理,制定科学合理的财政政策,以促进经济的可持续增长。This article deeply explores the influencing factors and prediction methods of Fuzhou’s fiscal revenue. Firstly, descriptive statistical analysis, Pearson correlation analysis and other methods are used to conduct a preliminary analysis of the key factors affecting Fuzhou’s fiscal revenue, revealing the correlation and changing trends between each factor. Secondly, in order to mitigate the adverse effects of multicollinearity on the accuracy and stability of model predictions, this paper used stepwise regression, ridge regression, and Lasso regression to fit the data. The results indicate that Lasso regression performs better and can accurately identify the variables that have the most significant impact on fiscal revenue, providing strong empirical evidence for policy-making. Then, the ARIMA model is used to predict the key factor values and obtain the predicted total fiscal revenue for 2023 and 2024. Finally, the article summarizes the main conclusions and policy recommendations of the research, emphasizing that the government should strengthen the prediction and management of fiscal revenue, formulate scientific and reasonable fiscal policies, and promote sustainable economic growth.
文摘自知识付费兴起以来,大学生群体的知识付费规模迅速扩大。到今天,知识付费行业已经发展到一个相对成熟的水平,但依然存在监管缺失、营销程度与内容不匹配、内容同质化等问题。为了解大学生知识付费情况,从而为知识付费行业的进一步发展提供参考,本研究通过问卷调查,结合描述性统计分析、列联分析、Logistic回归方法,对大学生知识付费现状及其对知识付费的满意度进行分析。研究发现,大学生偏好阅读付费和线上课程付费模式、关注个人专业技能的提升和未来的职业规划,但版权意识有待加强。建议大学生理性消费、增强版权意识;知识付费平台增强个性化服务、加快内容更新;监管者加强监管、宣传版权保护。Since the rise of knowledge payment industry, the scale of knowledge payment of college students has expanded rapidly. Today, the knowledge payment industry has developed to a relatively mature level, but there are still problems such as lack of supervision, mismatch between marketing degree and content, and homogenization of content. In order to explore the situation of college students’ knowledge payment and provide a reference for the further development of the knowledge payment industry, this paper analyzed the current situation of college students’ knowledge payment and their satisfaction with knowledge payment through questionnaire survey, combined with descriptive statistical analysis, cross-tabulation analysis and logistic regression. The results show that college students prefer to pay for reading and online courses, and pay attention to the improvement of personal professional skills and future career planning, but the awareness of copyright needs to be strengthened. We suggest that college students should engage in rational consumption and improve their copyright awareness;knowledge payment platforms should enhance personalized services and accelerate content updates;and regulators should strengthen supervision and promote copyright protection.
