Towards farmers’ livelihood resilience to climate change in Iran: A systematic review
Recognizing the resilience and especially the livelihood resilience of farmers is of great importance for policy makers. Thus, the present study is aimed to analyze farmers’ livelihood resilience to climate change (LRCC). The studied area was Hamadan province in the west of Iran. The research method...
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Format: | Article |
Language: | English |
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Elsevier
2023-09-01
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Series: | Environmental and Sustainability Indicators |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2665972723000430 |
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author | Ali Tohidimoghadam Alireza PourSaeed Masoud Bijani Roya Eshraghi Samani |
author_facet | Ali Tohidimoghadam Alireza PourSaeed Masoud Bijani Roya Eshraghi Samani |
author_sort | Ali Tohidimoghadam |
collection | DOAJ |
description | Recognizing the resilience and especially the livelihood resilience of farmers is of great importance for policy makers. Thus, the present study is aimed to analyze farmers’ livelihood resilience to climate change (LRCC). The studied area was Hamadan province in the west of Iran. The research methodology is qualitative content analysis (QCA) with a deductive approach, which is performed by selecting reliable sources and examining existing theories and content in livelihood resilience. The documents used for QCA included a systematic study of 44 articles from 33 journals (12 local (Iranian) journals and 21 international journals) and 5 M.Sc. thesis. The results indicated that farmers' LRCC are based on three dimensions including “buffer capacity (the sum of subsistence capital including human, physical, financial, natural and social capital)”, “self-organization (ability to form flexible networks to deal with unbalanced conditions and environmental, economic and social challenges)” and “learning capacity (acquiring knowledge and skills to form a resilient structure)”. In this regard, the most important factors affecting LRCC are: institutional-structural, environmental psychology, adaptation capacity and personal and professional characteristics. Finally, the LRCC model is presented in the agriculture sector, which can be used by policymakers in planning and making decisions. |
first_indexed | 2024-03-12T23:47:48Z |
format | Article |
id | doaj.art-ccd3f35c487348299b4e0bbb83533ca0 |
institution | Directory Open Access Journal |
issn | 2665-9727 |
language | English |
last_indexed | 2024-03-12T23:47:48Z |
publishDate | 2023-09-01 |
publisher | Elsevier |
record_format | Article |
series | Environmental and Sustainability Indicators |
spelling | doaj.art-ccd3f35c487348299b4e0bbb83533ca02023-07-14T04:28:31ZengElsevierEnvironmental and Sustainability Indicators2665-97272023-09-0119100266Towards farmers’ livelihood resilience to climate change in Iran: A systematic reviewAli Tohidimoghadam0Alireza PourSaeed1Masoud Bijani2Roya Eshraghi Samani3Department of Agricultural Extension and Education, Ilam Branch, Islamic Azad University, Ilam, IranDepartment of Agricultural Extension and Education, Ilam Branch, Islamic Azad University, Ilam, Iran; Corresponding author. Department of Agricultural Extension and Education, Ilam Branch, Islamic Azad University, Ilam, Iran.Department of Agricultural Extension and Education, College of Agriculture, Tarbiat Modares University (TMU), Tehran, Iran; Corresponding author. Department of Agricultural Extension and Education, College of Agriculture, Tarbiat Modares University (TMU), Tehran, Iran.Department of Agricultural Economics, Karaj Branch, Islamic Azad University, Karaj, IranRecognizing the resilience and especially the livelihood resilience of farmers is of great importance for policy makers. Thus, the present study is aimed to analyze farmers’ livelihood resilience to climate change (LRCC). The studied area was Hamadan province in the west of Iran. The research methodology is qualitative content analysis (QCA) with a deductive approach, which is performed by selecting reliable sources and examining existing theories and content in livelihood resilience. The documents used for QCA included a systematic study of 44 articles from 33 journals (12 local (Iranian) journals and 21 international journals) and 5 M.Sc. thesis. The results indicated that farmers' LRCC are based on three dimensions including “buffer capacity (the sum of subsistence capital including human, physical, financial, natural and social capital)”, “self-organization (ability to form flexible networks to deal with unbalanced conditions and environmental, economic and social challenges)” and “learning capacity (acquiring knowledge and skills to form a resilient structure)”. In this regard, the most important factors affecting LRCC are: institutional-structural, environmental psychology, adaptation capacity and personal and professional characteristics. Finally, the LRCC model is presented in the agriculture sector, which can be used by policymakers in planning and making decisions.http://www.sciencedirect.com/science/article/pii/S2665972723000430AdaptationSubsistenceSelf-organizationCapacity of learningBuffer capacity |
spellingShingle | Ali Tohidimoghadam Alireza PourSaeed Masoud Bijani Roya Eshraghi Samani Towards farmers’ livelihood resilience to climate change in Iran: A systematic review Environmental and Sustainability Indicators Adaptation Subsistence Self-organization Capacity of learning Buffer capacity |
title | Towards farmers’ livelihood resilience to climate change in Iran: A systematic review |
title_full | Towards farmers’ livelihood resilience to climate change in Iran: A systematic review |
title_fullStr | Towards farmers’ livelihood resilience to climate change in Iran: A systematic review |
title_full_unstemmed | Towards farmers’ livelihood resilience to climate change in Iran: A systematic review |
title_short | Towards farmers’ livelihood resilience to climate change in Iran: A systematic review |
title_sort | towards farmers livelihood resilience to climate change in iran a systematic review |
topic | Adaptation Subsistence Self-organization Capacity of learning Buffer capacity |
url | http://www.sciencedirect.com/science/article/pii/S2665972723000430 |
work_keys_str_mv | AT alitohidimoghadam towardsfarmerslivelihoodresiliencetoclimatechangeiniranasystematicreview AT alirezapoursaeed towardsfarmerslivelihoodresiliencetoclimatechangeiniranasystematicreview AT masoudbijani towardsfarmerslivelihoodresiliencetoclimatechangeiniranasystematicreview AT royaeshraghisamani towardsfarmerslivelihoodresiliencetoclimatechangeiniranasystematicreview |