{"title":"基于多元线性回归模型的广东海水养殖业发展研究","authors":"","doi":"10.25236/ajbm.2023.052116","DOIUrl":null,"url":null,"abstract":"In order to quantitatively analyse the influencing factors of mariculture production in Guangdong Province, a multiple linear regression model was used to analyse the influence of mariculture area, export value of aquatic products, number of mariculture professionals, number of mobile phone users coverage and R&D expenditure costs on mariculture production by using Guangdong's marine economic data from 2008 to 2020. The results show that mariculture production in Guangdong Province is highly correlated with five influencing factors, with the degree of influence being R&D expenditure > export value of aquatic products > mobile phone subscriber coverage > mariculture area > number of mariculture professionals, in that order. Finally, recommendations are made based on the findings of the study.","PeriodicalId":282196,"journal":{"name":"Academic Journal of Business & Management","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Development of Mariculture Industry in Guangdong Based on Multiple Linear Regression Model\",\"authors\":\"\",\"doi\":\"10.25236/ajbm.2023.052116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to quantitatively analyse the influencing factors of mariculture production in Guangdong Province, a multiple linear regression model was used to analyse the influence of mariculture area, export value of aquatic products, number of mariculture professionals, number of mobile phone users coverage and R&D expenditure costs on mariculture production by using Guangdong's marine economic data from 2008 to 2020. The results show that mariculture production in Guangdong Province is highly correlated with five influencing factors, with the degree of influence being R&D expenditure > export value of aquatic products > mobile phone subscriber coverage > mariculture area > number of mariculture professionals, in that order. Finally, recommendations are made based on the findings of the study.\",\"PeriodicalId\":282196,\"journal\":{\"name\":\"Academic Journal of Business & Management\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Academic Journal of Business & Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25236/ajbm.2023.052116\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Academic Journal of Business & Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25236/ajbm.2023.052116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Development of Mariculture Industry in Guangdong Based on Multiple Linear Regression Model
In order to quantitatively analyse the influencing factors of mariculture production in Guangdong Province, a multiple linear regression model was used to analyse the influence of mariculture area, export value of aquatic products, number of mariculture professionals, number of mobile phone users coverage and R&D expenditure costs on mariculture production by using Guangdong's marine economic data from 2008 to 2020. The results show that mariculture production in Guangdong Province is highly correlated with five influencing factors, with the degree of influence being R&D expenditure > export value of aquatic products > mobile phone subscriber coverage > mariculture area > number of mariculture professionals, in that order. Finally, recommendations are made based on the findings of the study.