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Research on the regional leading industry selection of “Kashgar urban agglomerations” based on multi-attribute weighted intelligent grey target decision-making evaluation model

Xiao Bai (Post-doctoral Innovation Practice Base, Xinjiang Vocational and Technical College of Communications, Urumqi, China)
Yan Xu (Business School, Xinjiang Normal University, Urumqi, China)
Sifeng Liu (Institute for Grey Systems Studies, Nanjing University of Aeronautics and Astronautics, Nanjing, China)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 18 September 2020

Issue publication date: 18 June 2021

223

Abstract

Purpose

The purpose of this paper is to establish the index system of leading industries in Kashgar urban agglomeration, and use the multi-attribute weighted intelligent grey target decision-making evaluation model to measure the comprehensive effect, so as to select the leading industries of Kashgar urban agglomeration.

Design/methodology/approach

First, 18 industries in Kashgar urban agglomerations are taken as objectives, and four indexes, namely, demand income elasticity index, growth rate index, labor productivity growth rate index and contribution rate of output value, are selected to construct an evaluation system for leading industry selection in Kashgar urban agglomerations. Then, grey incidence degree method is used to determine the decision-making power of each decision-making objective. Finally, multi-attribute weighted intelligent grey target decision-making evaluation model is used to measure the comprehensive effect of the objective system of leading industries in Kashgar urban agglomerations.

Findings

It can be seen that the multi-attribute weighted intelligent grey target decision-making evaluation model is more convenient to be used in selecting regional leading industries, and the results are accurate and feasible. Based on the calculation results and the actual economic development requirements of Kashgar urban agglomeration, the leading industries of Kashgar urban agglomeration can be determined as: wood processing, furniture, paper making and printing; wholesale and retail; construction; equipment manufacturing; transportation, storage and postal services.

Originality/value

First, it is a new method in selecting regional leading industry by using the multi-attribute weighted intelligent grey target decision-making evaluation model. Second, since there is relatively little research on Kashgar urban agglomeration, especially on leading industries in Kashgar urban agglomeration. The research in this paper can not only enrich the research on selecting leading industries in urban agglomeration but also provide scientific reference for relevant government agencies to formulate economic development plans.

Keywords

Acknowledgements

Funding: This paper has been supported by the Soft Science Project of Xinjiang Uygur Autonomous Region Natural Fund (No. 2018D07023), the Postdoctoral Research Project Fund Plan of Jiangsu Province (No. 1701102C), and National Social Science Foundation of China (No. 16CJL045).

Citation

Bai, X., Xu, Y. and Liu, S. (2021), "Research on the regional leading industry selection of “Kashgar urban agglomerations” based on multi-attribute weighted intelligent grey target decision-making evaluation model", Grey Systems: Theory and Application, Vol. 11 No. 3, pp. 418-433. https://doi.org/10.1108/GS-11-2019-0050

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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