{"title":"基于动态偏移份额分析的区域经济产业结构研究——以中部六省为例","authors":"Z. Huaxiong, You Fang","doi":"10.1109/BCGIN.2011.24","DOIUrl":null,"url":null,"abstract":"Shift-share analysis is an extensively used mathematical method for research on regional economy and industrial structure at home and abroad. It owns unique advantages as regard to synthesis and dynamics. Nevertheless, current studies at home mainly rest on the application of traditional relative static model with no consideration of time factor. With the introduction of dynamic thinking, this paper constructs dynamic time series to expand traditional model. It not only reveals the contribution each growth component makes to total growth, but exhibits the law of development of each growth component on time series. Through the comparative analysis of traditional shift-share method and the developed dynamic model, the later possesses advantages in three aspects: time span, analysis result and range of application. The dynamic model not only reveals the variation characteristics of each industrial department among various provinces, but offers quantitative analysis on industrial structure and varying trend of competitiveness from year to year. It facilitates the discovery of evolution patterns in six provinces in central China. The \"Twelfth Five-Year Plan\" period in China is meanwhile a key phase to achieve the \"Rise of Central China\"; the results of this paper provide scientific basis and direction for central China industrial structure adjustment.","PeriodicalId":127523,"journal":{"name":"2011 International Conference on Business Computing and Global Informatization","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Research on Regional Economic and Industrial Structure Based on Dynamic Shift-share Analysis: An Empirical Analysis of Six Provinces in Central China\",\"authors\":\"Z. Huaxiong, You Fang\",\"doi\":\"10.1109/BCGIN.2011.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Shift-share analysis is an extensively used mathematical method for research on regional economy and industrial structure at home and abroad. It owns unique advantages as regard to synthesis and dynamics. Nevertheless, current studies at home mainly rest on the application of traditional relative static model with no consideration of time factor. With the introduction of dynamic thinking, this paper constructs dynamic time series to expand traditional model. It not only reveals the contribution each growth component makes to total growth, but exhibits the law of development of each growth component on time series. Through the comparative analysis of traditional shift-share method and the developed dynamic model, the later possesses advantages in three aspects: time span, analysis result and range of application. The dynamic model not only reveals the variation characteristics of each industrial department among various provinces, but offers quantitative analysis on industrial structure and varying trend of competitiveness from year to year. It facilitates the discovery of evolution patterns in six provinces in central China. The \\\"Twelfth Five-Year Plan\\\" period in China is meanwhile a key phase to achieve the \\\"Rise of Central China\\\"; the results of this paper provide scientific basis and direction for central China industrial structure adjustment.\",\"PeriodicalId\":127523,\"journal\":{\"name\":\"2011 International Conference on Business Computing and Global Informatization\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Business Computing and Global Informatization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BCGIN.2011.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Business Computing and Global Informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BCGIN.2011.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Regional Economic and Industrial Structure Based on Dynamic Shift-share Analysis: An Empirical Analysis of Six Provinces in Central China
Shift-share analysis is an extensively used mathematical method for research on regional economy and industrial structure at home and abroad. It owns unique advantages as regard to synthesis and dynamics. Nevertheless, current studies at home mainly rest on the application of traditional relative static model with no consideration of time factor. With the introduction of dynamic thinking, this paper constructs dynamic time series to expand traditional model. It not only reveals the contribution each growth component makes to total growth, but exhibits the law of development of each growth component on time series. Through the comparative analysis of traditional shift-share method and the developed dynamic model, the later possesses advantages in three aspects: time span, analysis result and range of application. The dynamic model not only reveals the variation characteristics of each industrial department among various provinces, but offers quantitative analysis on industrial structure and varying trend of competitiveness from year to year. It facilitates the discovery of evolution patterns in six provinces in central China. The "Twelfth Five-Year Plan" period in China is meanwhile a key phase to achieve the "Rise of Central China"; the results of this paper provide scientific basis and direction for central China industrial structure adjustment.