Open AccessInterpretive Structural Analysis of Interrelationships of the Sustainable Development Goals (SDGs) in Iran
Author(s) -
Kiarash Fartash,
Mohammadsadegh Khayatian,
Amir Ghorbani,
Aliasghar Sadabadi
Publication year - 2021
Publication title -
international journal of sustainable development and planning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.29
H-Index - 15
eISSN - 1743-761X
pISSN - 1743-7601
DOI - 10.18280/ijsdp.160116
Subject(s) - sustainable development , poverty , perspective (graphical) , variables , linkage (software) , variable (mathematics) , environmental economics , computer science , political science , mathematics , economic growth , economics , artificial intelligence , mathematical analysis , biochemistry , chemistry , machine learning , law , gene
Sustainable Development Goals (SDGs) provide an ambitious agenda to end poverty and its dimensions and a sustainable, prosperous, and fair future. The aim of our paper is to assess the significance of SDGs from the perspective of Iran. To this end, the method of ISM has been used to express the interrelationships between SDGs. Besides, MICMAC method was utilized to assess dependence and driving power of every SDG. By data analyzing, SDGs were classified into six different levels and were modeled according to the interrelationships between them. Variables then were divided into three groups of dependent, independent/driving, communication, and autonomous variables, and no variable was included in the group of linkage variables. The findings show that SDGs12 and SDGs4 are the most fundamental goals of sustainable development, considering the needs, development stages, capacities of Iran. Achieving them is the basis for achieving other goals.