Analysis and decision of regional economic vitality and its influencing factors
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Дата
2020
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Анотація
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.
Опис
Wang Yining Analysis and decision of regional economic vitality and its influencing factors / Wang Yining ; supervisor Lihui Tu // Black Sea Science 2020: proc. of the Intern. Competition of Student Scientific Works / Odessa National Academy of Food Technologies; eds. B. Yegorov, M. Mardar [et al.]. – Odessa: ONAFT, 2020. – P. 230–245 : tabl., fig. – Ref.: 10 tit.
Ключові слова
regional economic vitality, correlation analysis method, normal distribution model