A NEW FRAMEWORK FOR ANALYZING CLIMATE CHANGE IMPACTS BY VULNERABILITY INDEX AND QUANTITATIVE MODELING: A CASE STUDY OF COASTAL PROVINCES IN VIETNAM
Pham Minh Tam. Faculty of Geography, Vietnam National University. Email: phamminhtam1989@gmail.com
Dinh Thi Hang. Hanoi University of Natural resources and Environment. Email: dinhhang.2796@gmail.com
Doan Thi Truc Linh. Can Tho University, Vietnam; University of South Australia, Australia. Email: dttlinh@ctu.edu.vn
Truong Thi Thuy Duong. Banking Academy. Email: thuyduongktv@yahoo.com.vn
Luu Quoc Dat. Faculty of Development Economics, University of Economics and Business, Vietnam National University. Email: datluuquoc@gmail.com
- Fuzzy Economic Review: Volume 24, Number 1, 2019
- DOI: 10.25102/fer.2019.01.02
Abstract
During the last decades, global climate change has led to serious impacts on nature, environment and socio-economic development in several places, especially in coastal zones. Vietnam is one of the countries, which was significantly affected by climate change. Hence, establishing an integrated framework to analysis climate change impacts for 28 coastal provinces in the country is necessary. Determining the key effects of climate change requires an appropriate method. To solve this issue, this study aims to utilize the fuzzy analytic hierarchy process (Fuzzy-AHP) technique to evaluate the weight of criteria and sub-criteria of climate change. The results found that 3/28 provinces are highly vulnerable to climate change compared to 17/28 of medium areas and 8/28 of the lowest group. Especially, Ho Chi Minh City is the most vulnerable province by the influence of climate change since the area has a low terrain, concentrated population, and a key economic province in Vietnam. Furthermore, the Fuzzy-AHP technique was integrated into climate change vulnerability index to assist policymakers in deciding an effective adaptation planning