A Selection Model of Strategic Emerging Industries in Fujian Based on Entropy-VIKOR Algorithm-Reference-Cited by-同舟云学术

A Selection Model of Strategic Emerging Industries in Fujian Based on Entropy-VIKOR Algorithm

Published:2021-10-14 Issue: Volume:2021 Page:1-10
ISSN:1607-887X
Container-title:Discrete Dynamics in Nature and Society
language:en
Short-container-title:Discrete Dynamics in Nature and Society

Author:

Zheng Qionge¹^ORCID,Chen Kunhui²,Kong Deyi³^ORCID,Liang Jingxuan¹,Wu Jingjing⁴

Affiliation:

1. Anxi College of Tea Science, Fujian Agriculture and Forestry University, Quanzhou 362406, China

2. School of Economics and Management, Fuzhou University, Fuzhou 350108, China

3. Business Administration College, Fujian Jiangxia University, Fuzhou 350000, China

4. Economics and Management College, Fujian Agricultural and Forestry University, Fuzhou 350108, China

Abstract

The cultivation of strategic emerging industries is strategic to the economic transformation and upgrading in Fujian, a southeastern province of China. It is of great significance to study its selection model. In this paper, according to the characteristics of strategic emerging industries, drawing on the double helix model, this paper sets up an evaluation system for strategic emerging industries. Then, the entropy-VIKOR algorithm was introduced to evaluate and rank the backbone enterprises in Fujian, based on the data on 21 listed enterprises of strategic emerging industries in the province from 2017 to 2019. The empirical research results are consistent with the actual situation of the development of strategic emerging industries in Fujian Province, which proves the feasibility of this research method. Finally, according to the empirical analysis results, this study puts forward some countermeasures for the development of strategic emerging industries in Fujian province.

Funder

Modern Agricultural Industrial Park in Anxi County

Publisher

Hindawi Limited

Subject

Modeling and Simulation

Link

http://downloads.hindawi.com/journals/ddns/2021/3659050.pdf

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