Challenges and Strategies for Developing Henan’s Aviation Core Industry Using Entropy Weight and Grey Decision Analysis

As economic globalization progresses, air transport has become increasingly vital to economic development due to its speed and convenience. This study examines the driving forces of airside economic construction across four levels: primary, secondary, derivative, and permanent influences. It explores the dynamic interplay between the aviation industry and airside economic construction. Using the entropy weight method to optimize the grey situation decision-making theory, the paper investigates the development strategies for Henan Province’s airside economy. Results indicate that the H2 area should be prioritized as the key construction zone, achieving the highest effect measurement score of 0.9789. Furthermore, focusing on the development of the tertiary industry or the joint advancement of secondary and tertiary industries in the H2 area yields the most significant economic impact, with effect measurement scores of 0.755 and 0.749, respectively.

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Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2024-12-31
DOI
https://doi.org/10.61091/jcmcc123-38
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
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article

Challenges and Strategies for Developing Henan’s Aviation Core Industry Using Entropy Weight and Grey Decision Analysis

Yuchen Wang
Journal of Combinatorial Mathematics and Combinatorial Computing
Aviation Industry Analysis and Trends
article

Challenges and Strategies for Developing Henan’s Aviation Core Industry Using Entropy Weight and Grey Decision Analysis

Yuchen Wang
article en

Abstract

As economic globalization progresses, air transport has become increasingly vital to economic development due to its speed and convenience. This study examines the driving forces of airside economic construction across four levels: primary, secondary, derivative, and permanent influences. It explores the dynamic interplay between the aviation industry and airside economic construction. Using the entropy weight method to optimize the grey situation decision-making theory, the paper investigates the development strategies for Henan Province’s airside economy. Results indicate that the H2 area should be prioritized as the key construction zone, achieving the highest effect measurement score of 0.9789. Furthermore, focusing on the development of the tertiary industry or the joint advancement of secondary and tertiary industries in the H2 area yields the most significant economic impact, with effect measurement scores of 0.755 and 0.749, respectively.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 123(1)
Openalex Percentile: Top 54%
Aviation Industry Analysis and Trends
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Challenges and Strategies for Developing Henan’s Aviation Core Industry Using Entropy Weight and Grey Decision Analysis — Yuchen Wang · Journal of Combinatorial Mathematics and Combinatorial Computing (2024) | TGRS Research Map | TGRS