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Regional Economic Vitality Based on Weighted Grey Relational Analysis
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作者 Yi Liu Xiaoyu You Chunshuo Zhang 《Journal of Economic Science Research》 2020年第2期12-18,共7页
The future development of cities has a great relationship with economic vitality.To determine the size of the economic vitality and its main influencing factors.This article takes some cities in China as examples.Firs... The future development of cities has a great relationship with economic vitality.To determine the size of the economic vitality and its main influencing factors.This article takes some cities in China as examples.First,determine the main factors.Aiming at many factors,this paper starts from the perspective of population changes in different cities and changes in corporate vitality.After applying the rough set theory to objectively evaluate index weights,the main factors are screened out.Then,the weights of the corresponding evaluation indexes of each group of cities are calculated by a multiple linear regression to a weighted index system,and then the cities are ranked using the gray correlation analysis method.Finally,we get the ranking of the economic vitality level of different cities.Finally,suggestions are made based on the weighting factors of major factors and economic vitality. 展开更多
关键词 Rough set Time series Weighted grey correlation analysis economic vitality Influencing factors
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Construction of Regional Economic Vitality Model
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作者 Dan Zhao Zhi Zhao Zening Chen 《Journal of Economic Science Research》 2020年第2期19-23,共5页
Regional economic vitality reflects the scale and development potential of a region’s economy.It largely determines the development of the city,and is also affected by many factors such as population competitiveness,... Regional economic vitality reflects the scale and development potential of a region’s economy.It largely determines the development of the city,and is also affected by many factors such as population competitiveness,corporate competitiveness,market vitality,innovation vitality,and environmental vitality.A pilot model was constructed with Hebei Province as the inspection area.Quantitative measurement of regional economic vitality was made by finding 21 indicators that indirectly or indirectly affect the economic vitality of Hebei Province.By analyzing the data of 21 indicators for nearly 10 years,the time series clustering is used to achieve the dimensionality reduction of the indicators.After the dimension reduction,it is divided into four categories:overall scale,development potential,market vitality,and innovation vitality.Construct the economic vitality structure model of Hebei Province,and determine the four types of contribution to economic vitality and compare them.On this basis,more accurately grasp the indicators that affect economic vitality and work out reasonable and effective action plans.From the perspective of human resources and corporate vitality,analyze how the action plan accurately affects the economic vitality of Hebei Province[1].The 11 cities in Hebei Province are the target of regional economic vitality.The economic vitality structure model constructed uses the required contribution value to select priority indicators.Finally,the six indicators of GPD,GPD growth rate,fiscal revenue,fiscal revenue growth rate,number of industrial enterprises above designated size,and total profit of industrial enterprises above designated size were established for eleven cities in Hebei Province to construct a TOPSIS scoring model,and calculation rankings were conducted through MATLAB.Results The top three cities were Shijiazhuang,Tangshan and Cangzhou. 展开更多
关键词 economic vitality structure model Time series clustering TOPSIS
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Analysis and Forecast of Urban Economic Vitality in Northeast China
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作者 Xuan Cui Yali Zhang Licai Wei 《Journal of Finance Research》 2020年第1期36-41,共6页
Taking into account the passage of time,the original economic vitality index will vary with changes in social development,we use the BP neural network nearly a decade as the original GDP data for the next 30 years the... Taking into account the passage of time,the original economic vitality index will vary with changes in social development,we use the BP neural network nearly a decade as the original GDP data for the next 30 years the GDP forecast.BP neural network in 1985,proposed by Rumelhart,the algorithm solves the system of learning problems multilayer neural network connection weights hidden layer[1].It consists of an input layer,a hidden layer,and an output layer.The principle is to continuously adjust the network weights and thresholds by transmitting errors backward and then correcting the errors to achieve the desired input-output mapping. 展开更多
关键词 BP neural network vitality of economic development ADVICE
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Economic Relationship with China Vital to U.S. Prosperity
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《金融博览》 2007年第1期43-43,共1页
关键词 PROSPERITY economic Relationship with China Vital to U.S
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