Vertical and horizontal optimized combination diagnosis technical method for urban industrial structure

Abstract

The invention provides a vertical and horizontal optimized combination diagnosis technical method for an urban industrial structure, which comprises the steps of: 1, performing vertical diagnosis by using a data envelopment analysis (DEA) model and urban industry time serial data in recent n years; 2, performing horizontal diagnosis by using a principal component analysis (PCA) model and industrial cross-sectional data in each urban administrative district of the latest year in recent n years; and 3, weighting and summing the vertical diagnosis result and the horizontal diagnosis result, calculating and obtaining optimized combination diagnosis index (CDI) of the urban industrial structure, and judging the optimized degree of the urban industrial structure according to the size of the CDI. The combination diagnosis technical method has the characteristics of systematicness, comprehensiveness and maneuverability, so the method can provide comprehensive, objective and scientific optimized decisions and regulate and control basis for optimizing the urban industrial structure.

Description

technical field [0001] The present invention belongs to the field of urban industrial planning and management research. Specifically, the present invention relates to a technical method for "vertical + horizontal" combined diagnosis of urban industrial structure optimization. The combined diagnostic technical method can provide comprehensive, Objective and scientific basis for decision-making. Background technique [0002] The urban industrial structure refers to the various proportional relationships between various industries in the city according to certain economic and technological connections, including not only the proportional relationship between the various industries in terms of production scale, but also the basic content of the input and output between the various industries. The relationship between the former reflects the quantitative characteristics of the industrial structure, and the latter reflects the qualitative characteristics of the industrial structur...

AI Technical Summary

Problems solved by technology

However, due to the complexity, dynamics and comprehensiveness of the industrial structure, especially the urban industrial structure, the existing technical methods have obvious limitations in application.

This limitation is manifested in two aspects. First, it is not comprehensive enough and does not consider the economic and social factors involved in the optimization of industrial structure. At the same time, it is difficult to scientifically diagnose the complex system of urban industrial structure with a single index method; Diagnosis of developmental history

These deficiencies restrict further research on the optimization of urban industrial structure, and are not conducive to the scientific decision-making of urban industrial structure optimization

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