4.7 Article

Information transfer as a tool to improve the resilience of farmers against the effects of climate change: The case of the Peruvian National Agrarian Innovation System

Journal

AGRICULTURAL SYSTEMS
Volume 200, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.agsy.2022.103431

Keywords

Latent block modelling; Network analysis; Farmers; Information transference; Resilience

Funding

  1. Spanish Ministry of Science and Innovation [PID2020-117792RA-I00]

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The study aims to understand the structure of interactions between farmers and institutions in the National Agrarian Innovation System of Peru regarding the transfer of information on preventing the effects of extreme weather events. The results show that only 13% of smallholders and 18% of large-scale farmers in Peru are receiving this information, mainly through TV and radio (non-specialized media) and mostly from one governmental institution. There are also groups of farmers who rely on other institutions, with regional differences in access to information. The study suggests that there is room for improvement in the transfer of information on preventing extreme weather events.
CONTEXT: In the last few years, the effects of climate change have impacted heavily on the agricultural sector, particularly in developing countries provided their high vulnerability. In this sense, knowledge and information transference could act as a strategic support service to improve the resilience of their farming systems, as this would help farmers to adapt and take advantage of the new scenarios brought by climate change, as well as to take preventive actions.OBJECTIVE: The aim of this study was to understand the structure of the interactions between farmers and institutions of the National Agrarian Innovation System of Peru regarding the transfer of information on preventing the effects of extreme weather events. To do so, we aim to understand how farmers and institutions are connected and how the climatic and farming systems' particularities of the territories, the main roles of the institutions and the media through which farmers get the information from each of them could influence such information transfer processes.METHODS: The structure of interactions between institutions and farmers is modelled for the period 2016-2019 by means of the Latent Block Modelling clustering algorithm. Given the differences in size, resources and practices between smallholders and large-scale farmers, the relationships between them and the institutions are modelled and analysed separately.RESULTS AND CONCLUSIONS: This study identifies how actors involved in preventive information transfer in the National Agrarian Innovation System of Peru are connected, quantifies their relevance and detects deficiencies in such transfer processes. Results show that less than 13% of smallholders and 18% of large-scale farmers in Peru are getting this information, which is mainly transferred by the TV and the radio (non-specialized media) and mostly only by one governmental institution. Additionally, we detected some groups of farmers who rely on other institutions too, with regional differences in the access to information. Results suggest that there is room for improvement regarding the transfer of information on preventing extreme weather events.SIGNIFICANCE: The results obtained and their discussion could be particularly useful to help in the design of policies focused on improving the efficiency and effectiveness of climatic-related information transfer. In the end, this would help to improve the resilience of Peruvian farmers against climate change and thus, to strengthen the Peruvian agricultural sector.

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