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Social media reporting on agricultural adaptation to climate change in Pakistan: Measures and implications for sustainability. | LitMetric

AI Article Synopsis

  • - The agricultural sector is vital to Pakistan's economy but is facing challenges from climate change, prompting a study on the impact of social media reporting on farmers' attitudes towards coping with these environmental shifts.
  • - Researchers used surveys and statistical methods to analyze how social media influences farmers' behaviors in Punjab regarding climate change adaptation techniques, involving 120 male farmers in their sample.
  • - Findings indicated that social media reporting positively affects farmers' decisions related to crop selection, land management, and water storage, leading to better productivity and connection to climate adaptation strategies.

Article Abstract

The agricultural sector is the backbone and single-largest sector of the Pakistani economy. Pakistan's agricultural productivity is suffering due to climate change. The study aimed at finding how social media reporting can change patterns of attitudes among farmers to cope with sudden weather changes. A correlation-experimental research design was used to find the relationships and effects of climate change on agriculture in Punjab (Pakistan) and the mediating effect of social media reporting. A purposive sampling technique was used to collect samples from 120 male farmers. Online surveys, with the help of Google Docs, were used to collect participants' responses about the type of behavior they used to adopt when getting information about climate change through social media. After determining their reliability and validity through piloting, two self-constructed questionnaires were used: (i) Measuring Farmers' Behavior Influenced by Social Media Reporting of Climate Change and (ii) Effects of Social Media Reporting of Climate Change on Agriculture. Data were analyzed using SPSS-21, and correlation analysis was done to find out the relationship between social media reporting and farmers' behavior. Linear regression was used to measure the functional relationship between social media reporting about climate change and farmers' attitudes towards adopting precautions to increase annual yield. The coefficient of social media reporting was positively and significantly related to farmers' attitudes towards the selection of crops, land management, and water storage. Based on the findings, the social media reports significantly predicted patterns of farmers' behavior towards the adaptation of advanced measures to select crops, reduce pest attacks, manage land, and store water.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658246PMC
http://dx.doi.org/10.1016/j.heliyon.2023.e21579DOI Listing

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