Long Ding, Fangping Hou, Xiao Zhang, Guolong Li, Shuo Wang, Weizheng Sun
{"title":"The Factors Affecting GDP Growth","authors":"Long Ding, Fangping Hou, Xiao Zhang, Guolong Li, Shuo Wang, Weizheng Sun","doi":"10.18282/l-e.v9i3.1577","DOIUrl":null,"url":null,"abstract":"This paper discusses the factors affecting GDP growth. By processing the data related to GDP, this paper uses AHP method, BP neural network, SVR method and economic policy correction model to quantitatively analyze the impact of different candidate countries on the U.S. economy and China’s economy. Combined with political, economic, social, environmental and other factors, referring to the national policy, the index system is obtained. The judgment matrix is constructed by AHP, and the more important one is extracted as the main index. Then the evaluation is carried out by using neural network. Firstly, the index is combined with the existing GDP standard system, and then network training and simulation are carried out. After substituting the data, we get and analyze the interaction between the indicators of each factor, and determine the positive correlation and negative correlation between the factors in the schematic diagram. As for the influence of policy factors, GDP is indirectly affected through tangible influence.","PeriodicalId":48152,"journal":{"name":"Academy of Management Learning & Education","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Academy of Management Learning & Education","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.18282/l-e.v9i3.1577","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 1
Abstract
This paper discusses the factors affecting GDP growth. By processing the data related to GDP, this paper uses AHP method, BP neural network, SVR method and economic policy correction model to quantitatively analyze the impact of different candidate countries on the U.S. economy and China’s economy. Combined with political, economic, social, environmental and other factors, referring to the national policy, the index system is obtained. The judgment matrix is constructed by AHP, and the more important one is extracted as the main index. Then the evaluation is carried out by using neural network. Firstly, the index is combined with the existing GDP standard system, and then network training and simulation are carried out. After substituting the data, we get and analyze the interaction between the indicators of each factor, and determine the positive correlation and negative correlation between the factors in the schematic diagram. As for the influence of policy factors, GDP is indirectly affected through tangible influence.
期刊介绍:
AMLE’s mission is to contribute to management learning and education by publishing theory, empirical research, reviews, critiques, and resources that address the processes of management teaching and the learning that results from it. Additionally, AMLE publishes work that addresses important issues in the institutional environment and administration of business schools and their stakeholders. The journal’s emphasis is on the study of management learning and education in all types of settings—schools and universities as well as businesses and public and non-profit organizations. AMLE is quarterly in March, June, September, and December.