Impact of farmers’ climate risk perception and socio-economic attributes on their choice of ICT-based agricultural information services: empirical evidence from Pakistan

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Khan, Nasir Abbas ORCID: 0000-0002-6079-715X, Shah, Ashfaq Ahmad ORCID: 0000-0001-9142-2441, Tariq, Muhammad Atiq Ur Rehman M ORCID: 0000-0002-0226-7310, Chowdhury, Ataharul ORCID: 0000-0003-2432-0933 and Khanal, Uttam ORCID: 0000-0002-3946-0827 (2022) Impact of farmers’ climate risk perception and socio-economic attributes on their choice of ICT-based agricultural information services: empirical evidence from Pakistan. Sustainability (Switzerland), 14 (16). ISSN 2071-1050

Abstract

In Pakistan, research on information and communication technologies-based agricultural information services (ICTbAIS) have gained significant attention owing to the overwhelming population of smallholder farmers (whose information needs are unable to be met by the conventional extension services) and the increasing incidence of climatic risk. This study is, therefore, conducted in the Punjab province of Pakistan (mixed cropping region) to explore farmers’ use of ICTbAIS and understand the relationship between farmers’ socio-economic attributes, risk perception, and choices of ICTbAIS. A sample of 480 farmers was drawn using a multistage sampling approach, and farmers were interviewed face-to-face. To analyze the dataset, a multivariate Probit (MVP) model was employed. The results show that Television (TV) and mobile-based advisory and mobile-based consultations appeared to be the most used ICTbAIS, followed by radio and internet-based advisory. The estimates of the MVP model showed that farmers’ age, education, farmland, tenancy status, off-farm income, and climate risk perception are significant determinants of their choices of ICTbAIS. Based on our results, we suggest policymakers and extension agencies to improve the content of ICTbAIS and make efforts for the awareness and training of farmers regarding the use of contemporary ICTs.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/47066
DOI 10.3390/su141610196
Official URL https://www.mdpi.com/2071-1050/14/16/10196
Subjects Current > FOR (2020) Classification > 3002 Agriculture, land and farm management
Current > Division/Research > College of Science and Engineering
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords agriculture, farming, Pakistan, climate change, internet based advisory
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