Pub Date : 2024-01-29DOI: 10.56028/aemr.9.1.23.2024
Chaocui Zhang, Leigang Pei
Overall, the legal basis for the Chinese government's administrative law enforcement, procuratorial and supervisory work is far from sufficient. Currently, there are no laws and regulations that clearly stipulate the functions and supervision procedures of the government's administrative law enforcement, procuratorial and supervisory work.There are also no specific case-handling procedures within law enforcement agencies for accepting and handling administrative supervision cases, making it difficult to fully carry out government administrative law enforcement supervision cases.In addition, due to the lack of legal provisions, the authority and effectiveness of supervision have been weakened. Only the coordination between the procuratorial organs and administrative agencies can effectively solve the existing problems. On the basis of analyzing the existing problems and causes of administrative law enforcement supervision by the Chinese government, this paper puts forward corresponding countermeasures in order to play an effective role.
{"title":"Research on the Chinese Government's Administrative Law Enforcement Supervision Issues in the Chinese Government","authors":"Chaocui Zhang, Leigang Pei","doi":"10.56028/aemr.9.1.23.2024","DOIUrl":"https://doi.org/10.56028/aemr.9.1.23.2024","url":null,"abstract":"Overall, the legal basis for the Chinese government's administrative law enforcement, procuratorial and supervisory work is far from sufficient. Currently, there are no laws and regulations that clearly stipulate the functions and supervision procedures of the government's administrative law enforcement, procuratorial and supervisory work.There are also no specific case-handling procedures within law enforcement agencies for accepting and handling administrative supervision cases, making it difficult to fully carry out government administrative law enforcement supervision cases.In addition, due to the lack of legal provisions, the authority and effectiveness of supervision have been weakened. Only the coordination between the procuratorial organs and administrative agencies can effectively solve the existing problems. On the basis of analyzing the existing problems and causes of administrative law enforcement supervision by the Chinese government, this paper puts forward corresponding countermeasures in order to play an effective role.","PeriodicalId":505091,"journal":{"name":"Advances in Economics and Management Research","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140489197","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}
Pub Date : 2024-01-29DOI: 10.56028/aemr.9.1.31.2024
Shuang Chen, Junjun Hou, Dan Li
As a form of housing security provided by the government, the pricing of public rental housing has always been a concern. Research on the pricing of public rental housing can help deepen our understanding of the supply and demand relationship and rental formation mechanism in the housing market. Currently, research mainly adopts pricing methods based on cost, income, and market orientation. Therefore, this paper takes the relevant data that affects the rental prices of public rental housing in Qingdao as a basis, and uses multiple regression analysis and principal component analysis to construct a multiple linear regression model with the rental prices of public rental housing in Qingdao as the dependent variable and 8 indicators affecting rental prices as independent variables. Based on the model, the rental prices for the first quarter of 2023 are predicted, and the results are close to the actual results. Finally, based on the model and predicted values, combined with relevant policies of public rental housing in Qingdao, suggestions for pricing public rental housing are given. By applying the above model, we can comprehensively understand the factors that affect the pricing of public rental housing and provide some reference value for solving urban housing problems.
{"title":"Study on rent pricing of public housing in Qingdao","authors":"Shuang Chen, Junjun Hou, Dan Li","doi":"10.56028/aemr.9.1.31.2024","DOIUrl":"https://doi.org/10.56028/aemr.9.1.31.2024","url":null,"abstract":"As a form of housing security provided by the government, the pricing of public rental housing has always been a concern. Research on the pricing of public rental housing can help deepen our understanding of the supply and demand relationship and rental formation mechanism in the housing market. Currently, research mainly adopts pricing methods based on cost, income, and market orientation. Therefore, this paper takes the relevant data that affects the rental prices of public rental housing in Qingdao as a basis, and uses multiple regression analysis and principal component analysis to construct a multiple linear regression model with the rental prices of public rental housing in Qingdao as the dependent variable and 8 indicators affecting rental prices as independent variables. Based on the model, the rental prices for the first quarter of 2023 are predicted, and the results are close to the actual results. Finally, based on the model and predicted values, combined with relevant policies of public rental housing in Qingdao, suggestions for pricing public rental housing are given. By applying the above model, we can comprehensively understand the factors that affect the pricing of public rental housing and provide some reference value for solving urban housing problems.","PeriodicalId":505091,"journal":{"name":"Advances in Economics and Management Research","volume":"44 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140488919","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}
Pub Date : 2024-01-29DOI: 10.56028/aemr.9.1.35.2024
Cailin Zhang, Yunfeng Huo, Xin Li, Changlei Ma
This paper based on the electric power industry listed companies in 2023 cross section data, introduce R&D investment, human capital factors and from the dimension of the enterprise scale,R&D investment,human capital and development level to build the comprehensive performance evaluation index system of listed companies in the electric power industry.And then we use the factor analysis and principal component analysis method to evaluate the comprehensive performance.It is found that R&D investment and human capital are important factors affecting the performance of enterprises in the power industry. It is suggested that enterprises in the power industry should continue to enhance R&D investment, optimize the human capital structure, and further improve the comprehensive performance of enterprises.
{"title":"R&D investment, human capital and enterprise performance——Based on the research of listed companies in the power industry","authors":"Cailin Zhang, Yunfeng Huo, Xin Li, Changlei Ma","doi":"10.56028/aemr.9.1.35.2024","DOIUrl":"https://doi.org/10.56028/aemr.9.1.35.2024","url":null,"abstract":"This paper based on the electric power industry listed companies in 2023 cross section data, introduce R&D investment, human capital factors and from the dimension of the enterprise scale,R&D investment,human capital and development level to build the comprehensive performance evaluation index system of listed companies in the electric power industry.And then we use the factor analysis and principal component analysis method to evaluate the comprehensive performance.It is found that R&D investment and human capital are important factors affecting the performance of enterprises in the power industry. It is suggested that enterprises in the power industry should continue to enhance R&D investment, optimize the human capital structure, and further improve the comprehensive performance of enterprises.","PeriodicalId":505091,"journal":{"name":"Advances in Economics and Management Research","volume":"64 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140486561","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}
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