Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence最新文献

Research Hotspots and Visual Analysis of Rural China Based on TF-IDF Algorithm 基于TF-IDF算法的中国农村研究热点与可视化分析

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence Pub Date : 2022-12-09 DOI: 10.1145/3598438.3598460

Jiae Xiang

引用次数: 0

Study on the Impact of Digital Payment on Consumption of Rural Residents in Hubei Province Based on Panel Data Model 基于面板数据模型的数字支付对湖北省农村居民消费的影响研究

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence Pub Date : 2022-12-09 DOI: 10.1145/3598438.3598448

S. Nie

{"title":"Study on the Impact of Digital Payment on Consumption of Rural Residents in Hubei Province Based on Panel Data Model","authors":"S. Nie","doi":"10.1145/3598438.3598448","DOIUrl":"https://doi.org/10.1145/3598438.3598448","url":null,"abstract":"With the development of cloud computing, big data, Internet of Things, mobile Internet, artificial intelligence and other new generation information technology, digital payment methods are increasingly widely used. At the same time, the flourishing of major e-commerce platforms has led to huge changes in people's payment methods and consumption levels. In order to study the impact of digital payment on the consumption level and consumption structure of rural residents in Hubei Province, this paper uses panel data of 13 cities and states in Hubei Province from 2013 to 2020, and selects an individual fixed-effects model to conduct an empirical study, which mainly draws the following conclusions: first, digital payment has a significant positive impact on the consumption level of rural residents in Hubei Province; second, the level of digital payment has a significant negative effect on the survival-oriented expenditure, but not on the proportion of hedonic consumption and developmental consumption. This indicates that digital payment can optimize the consumption structure of rural residents in Hubei Province to a limited extent. Finally, corresponding suggestions are made based on the findings of this paper.","PeriodicalId":338722,"journal":{"name":"Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126310290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Security authentication scheme of smart home based on BFP 基于BFP的智能家居安全认证方案

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence Pub Date : 2022-12-09 DOI: 10.1145/3598438.3598451

Xiaoyu Du, Changtao Zhang, Zhijie Han, Guanying Zhou

引用次数: 0

Research on Economic Growth Target and Operating Efficiency of Listed Tourism Companies based on Multiple Regression Model and Threshold Effect Model 基于多元回归模型和门槛效应模型的旅游上市公司经济增长目标与经营效率研究

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence Pub Date : 2022-12-09 DOI: 10.1145/3598438.3598450

Lei Peng, Peng Hongli, Gabriel Xiao-Guang Yue

{"title":"Research on Economic Growth Target and Operating Efficiency of Listed Tourism Companies based on Multiple Regression Model and Threshold Effect Model","authors":"Lei Peng, Peng Hongli, Gabriel Xiao-Guang Yue","doi":"10.1145/3598438.3598450","DOIUrl":"https://doi.org/10.1145/3598438.3598450","url":null,"abstract":"This paper selects the panel data of 22 listed tourism companies from 2007 to 2020 as the research sample, uses the random frontier analysis to calculate the operating efficiency of listed tourism companies, and analyzes the relationship between the economic growth target and the multiple regression model and the threshold effect model of the listed tourism companies. The study found that: (1) the economic growth target has a significant positive impact on the operating efficiency of listed tourism companies.(2) The operating efficiency of state-owned enterprises is more promoted by the economic growth targets, while non-state-owned enterprises are smaller.(3) Financing constraints have a threshold effect in the relationship between the economic growth target and the operating efficiency of listed tourism companies. When the financing constraints exceed a certain threshold value, the promotion effect of the economic growth target on the operating efficiency of listed tourism companies will be significantly reduced.","PeriodicalId":338722,"journal":{"name":"Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134513315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on User Churn Warning based on Machine Learning 基于机器学习的用户流失预警研究

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence Pub Date : 2022-12-09 DOI: 10.1145/3598438.3598461

Zhou Yiran, Wang Lei, Liu Wei, Xiao Tao

引用次数: 0

Analysis and Research on the Related Modes of Collaborative Optimization and Deep Fusion Based on Grey Fuzzy Theory 基于灰色模糊理论的协同优化与深度融合相关模式分析与研究

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence Pub Date : 2022-12-09 DOI: 10.1145/3598438.3598458

Huang Fashuang, Fang Fang

引用次数: 0

The Impact of Precise Poverty Alleviation Policies on the Vulnerability of Farm Households to Poverty: Research Based on Micro Big Data 精准扶贫政策对农户贫困脆弱性的影响——基于微观大数据的研究

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence Pub Date : 2022-12-09 DOI: 10.1145/3598438.3598441

Shengze Qin, Jialei Guo, Haimanot B Atinkut, Chongjun Yang

{"title":"The Impact of Precise Poverty Alleviation Policies on the Vulnerability of Farm Households to Poverty: Research Based on Micro Big Data","authors":"Shengze Qin, Jialei Guo, Haimanot B Atinkut, Chongjun Yang","doi":"10.1145/3598438.3598441","DOIUrl":"https://doi.org/10.1145/3598438.3598441","url":null,"abstract":"Based on the China Household Tracking Survey 4-period tracking data from 2012-2018, this paper measures the poverty vulnerability of Chinese farm households using the VEP method, and then constructs driving variables as proxy variables for precise poverty alleviation policies, measures their policy effects using fuzzy breakpoint regression, and tests the continuity and breakpoint regression validity of the driving variables, and finds that (1) in terms of time, the incidence of poverty vulnerability among Chinese farm households shows an overall decreasing trend except for a small increase in 2016, and by 2018, there are still 10.11% of farm households located in a state of vulnerability under the $1.3 poverty line; under different poverty lines, the average poverty vulnerability index shows a decreasing trend in recent years. (2) In terms of regional dimensions, the poverty vulnerability of Chinese farm households is highest in the west, followed by the central region, and lowest in the east. Compared with the east and central regions, rural residents in the west are more likely to fall into poverty in the future, and there are large differences in the depth of poverty in different regions. (3) The fuzzy breakpoint regression model found that the poverty alleviation policy significantly reduced the poverty vulnerability of rural households, and the regression results passed the continuity test of the driving variables and the breakpoint regression validity test.","PeriodicalId":338722,"journal":{"name":"Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126903406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The level measurement of cultural and tourism integration of tourism cities in Hubei Province based on coupling coordination degree 基于耦合协调度的湖北省旅游城市文旅融合水平测度

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence Pub Date : 2022-12-09 DOI: 10.1145/3598438.3598447

Hong Xue, Xiuli Wang, Xuerui Xu, Lily Zhang

引用次数: 0

Research on Tourism Resource Development Model Based on GEM 基于GEM的旅游资源开发模式研究

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence Pub Date : 2022-12-09 DOI: 10.1145/3598438.3598456

Xue Bingwang, Lei Peng, Gabriel Xiao-Guang Yue

引用次数: 0

Based on Panel Logistic model about Early warning of financial distress of listed companies in automobile industry 基于面板Logistic模型的汽车行业上市公司财务困境预警

Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence Pub Date : 2022-12-09 DOI: 10.1145/3598438.3598462

Wan Xiaodan

引用次数: 0