Version 1
: Received: 19 September 2023 / Approved: 20 September 2023 / Online: 21 September 2023 (09:47:43 CEST)
How to cite:
Liu, J. AHP-SWOT Analysis of the Development Strategy of China’s Northeast Economy Under the New Economic Situation. Preprints2023, 2023091426. https://doi.org/10.20944/preprints202309.1426.v1
Liu, J. AHP-SWOT Analysis of the Development Strategy of China’s Northeast Economy Under the New Economic Situation. Preprints 2023, 2023091426. https://doi.org/10.20944/preprints202309.1426.v1
Liu, J. AHP-SWOT Analysis of the Development Strategy of China’s Northeast Economy Under the New Economic Situation. Preprints2023, 2023091426. https://doi.org/10.20944/preprints202309.1426.v1
APA Style
Liu, J. (2023). AHP-SWOT Analysis of the Development Strategy of China’s Northeast Economy Under the New Economic Situation. Preprints. https://doi.org/10.20944/preprints202309.1426.v1
Chicago/Turabian Style
Liu, J. 2023 "AHP-SWOT Analysis of the Development Strategy of China’s Northeast Economy Under the New Economic Situation" Preprints. https://doi.org/10.20944/preprints202309.1426.v1
Abstract
In order to accurately identify the external economic situation in China and analyze the situation of economic development in Northeast China, based on the Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis framework, this article analyses the economy in Northeast China from the four factors of SWOT. To solve the lack of quantitative analysis in SWOT analysis, this article applies Analytic Hierarchy Process (AHP) to the analysis, and finally forms a complete system framework with the combination of qualitative and quantitative factors, through the analysis of the important degree of various factors and the consistency test, the key factors influencing the economic development in Northeast China are analyzed, and constructive countermeasures are proposed.
Keywords
China Northeast; SWOT Analysis; Analytic Hierarchy Process (AHP); Economics
Subject
Business, Economics and Management, Economics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.