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DOI10.1016/j.crm.2021.100288
Farmers’ perceptions and role of institutional arrangements in climate change adaptation: Insights from rainfed Pakistan
Mahmood N.; Arshad M.; Mehmood Y.; Faisal Shahzad M.; Kächele H.
发表日期2021
ISSN2212-0963
起始页码3899
结束页码3908
卷号32
英文摘要Rainfed farmers are among the most vulnerable farming communities to climate change in Pakistan because of the heavy reliance of crop farming on rain and of farmers’ livelihoods on crop farming. The best and most timely responses against climate change are suitable adaptation measures. Accurately perceiving the risks associated with climate change is an essential factor for planning and then implementing adaptations. Using farm household-level data of 400 rainfed farmers collected through a well-designed and field-tested questionnaire, this study examines the association between various adaptation stages (climate risk perceptions, adaptation planning, and implementation of adaptation) and their determinants using a multivariate probit (MVP) model. The findings indicate that farmers’ perceptions of climatic changes are in line with historical climatic data. Climate risk management (CRM) trainings and digital agriculture extension and communication (DAEC) services (indicators of formal institutional arrangements) show a highly significant impact on all adaptation stages. Input market distance, farmer cooperative meetings (an indicator of informal institutional arrangement), off-farm income, education, and number of male family members are among the other key determinants. A highly significant association between various adaptation stages indicates that accurate climate risk perceptions lead to planning and implementation of adaptations. When risk perceptions are underestimated or lacking, then adaptations do not occur. The results further indicate that the timely availability of reliable information on advanced agricultural inputs, weather parameters, crop farming advisory services, and market information could help rainfed farmers devise sound adaptations to minimize risks associated with climate change. The study recommends the provision of CRM trainings and DAEC services to provide a better understanding and promote sound adaptation planning through the adaptive capacity enhancement of rainfed farming communities for sustainable production and livelihood security. © 2021 The Author(s)
英文关键词Adaptation planning; Climate risk management trainings; Digital advisory services; Pakistan; Rainfed; Risk perceptions
来源期刊Climate Risk Management
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/183129
作者单位Research Area 2 “Land Use and Governance”, Working Group: Sustainable Land Use in Developing Countries, Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Street 84, Müncheberg, 15374, Germany; Department of Economics & Agricultural Economics, PMAS-Arid Agriculture University, Rawalpindi, Pakistan; Department of Agricultural Economics, Humboldt University of Berlin, Unter den Linden 6, Berlin, 10099, Germany; National University of Sciences & Technology (NUST), School of Social Sciences and Humanities (S3H), House No. 448, Street 11, Sector F-10/2, Islamabad, 44000, Pakistan; Department of Social & Behavioral Sciences, National University of Medical Sciences, Rawalpindi, Pakistan; Pakhtunkhwa Economic Policy Research Institute (PEPRI), Abdul Wali Khan University, Mardan (AWKUM), Pakistan; Eberswalde University for Sustainable Development, Schickler Str.5, Eberswalde, 16225, Germany
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GB/T 7714
Mahmood N.,Arshad M.,Mehmood Y.,等. Farmers’ perceptions and role of institutional arrangements in climate change adaptation: Insights from rainfed Pakistan[J],2021,32.
APA Mahmood N.,Arshad M.,Mehmood Y.,Faisal Shahzad M.,&Kächele H..(2021).Farmers’ perceptions and role of institutional arrangements in climate change adaptation: Insights from rainfed Pakistan.Climate Risk Management,32.
MLA Mahmood N.,et al."Farmers’ perceptions and role of institutional arrangements in climate change adaptation: Insights from rainfed Pakistan".Climate Risk Management 32(2021).
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