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1000 Titel
  • Farmers’ perceptions and role of institutional arrangements in climate change adaptation: Insights from rainfed Pakistan
1000 Autor/in
  1. Mahmood, Nasir |
  2. Arshad, Muhammad |
  3. Mehmood, Yasir |
  4. Shahzad, Muhammad Faisal |
  5. Kächele, Harald |
1000 Erscheinungsjahr 2021
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-02-20
1000 Erschienen in
1000 Quellenangabe
  • 32:100288
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.crm.2021.100288 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal Rainfed
lokal Climate risk management trainings
lokal Risk perception
lokal Pakistan
lokal Digital advisory services
lokal Adaptation planning
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TWFobW9vZCwgTmFzaXI=|https://frl.publisso.de/adhoc/uri/QXJzaGFkLCBNdWhhbW1hZA==|https://frl.publisso.de/adhoc/uri/TWVobW9vZCwgWWFzaXI=|https://frl.publisso.de/adhoc/uri/U2hhaHphZCwgTXVoYW1tYWQgRmFpc2Fs|https://frl.publisso.de/adhoc/uri/S8OkY2hlbGUsIEhhcmFsZA==
1000 Label
1000 Förderer
  1. Punjab Higher Education Commission |
  2. Alexander von Humboldt-Stiftung |
  3. Stiftung fiat panis |
1000 Fördernummer
  1. Ref. PHEC/HRD/FS/1-19/2016/
  2. -
  3. -
1000 Förderprogramm
  1. -
  2. -
  3. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Punjab Higher Education Commission |
    1000 Förderprogramm -
    1000 Fördernummer Ref. PHEC/HRD/FS/1-19/2016/
  2. 1000 joinedFunding-child
    1000 Förderer Alexander von Humboldt-Stiftung |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Stiftung fiat panis |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6430285.rdf
1000 Erstellt am 2021-11-17T13:41:01.288+0100
1000 Erstellt von 317
1000 beschreibt frl:6430285
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Wed Nov 17 13:42:04 CET 2021
1000 Objekt bearb. Wed Nov 17 13:41:40 CET 2021
1000 Vgl. frl:6430285
1000 Oai Id
  1. oai:frl.publisso.de:frl:6430285 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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