Перегляд за Автор "Wang, Yining"

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  • Документ
    Analysis and decision of regional economic vitality and its influencing factors
    (2020) Wang, Yining
    Regional economic vitality is an important component of regional comprehensive competitiveness. Therefore, how to grasp the key factors and effectively improve the regional economic vitality is a research direction with practical value. Through researching a large number of related literatures, this article proposes two issues for research: 1. Taking a region as an example, establishing a relationship model of regional economic vitality influencing factors, proposing action plans, and analyzing regional economic vitality from the perspective of population and corporate vitality trends Impact of change. 2. Select a suitable index system to establish a mathematical model for measuring regional economic vitality, and rank regional economic vitality in Beijing, Shanghai, Guangzhou, Shenzhen, and some second-tier cities. For the first question, this article starts from five aspects of economic aggregate, corporate benefits, government regulation, residents' situation and environment, selects 22 indicators, uses correlation analysis method to select 8 optimal indicators, and then uses subjective weighting method and The model combined with objective weighting method obtains the weight of each indicator, scores the regional economic vitality, and obtains the relationship model of the factors that influence the regional economic vitality, and proposes an action plan. Finally, it uses regression analysis to find that the population growth rate negatively affects the regional economy. Vitality, the growth rate of the number of enterprises is positively affecting regional economic vitality. For the second question, this paper tests the relational model given in the first question. It is found that there is an error from the actual test, so it needs to be corrected. This article uses hypothesis testing model ideas and adds two correction coefficients based on a mathematical model of normal distribution, and then performs linear programming on the correction factors, and then tests the relative error to determine whether it makes the probability histogram follow a normal distribution image The relative error is less than 0.05, and then the hypothesis is justified based on the conclusion. After correction, it was found that it was indeed within the acceptable range, and the top three cities that got the economic vitality were Shanghai, Beijing, and Shenzhen. Based on the previous conclusions, this article puts forward a series of suggestions for promoting the development of talents, informatization, technological innovation, and industrial upgrading in Beijing. It provides a reference for the sustainable development of regional economic vitality and the improvement of regional competitiveness. Value.