The role of smartphone-based weather information acquisition on climate change perception accuracy: Cross-country evidence from Kyrgyzstan, Mongolia and Uzbekistan
Climate Risk Management, ISSN: 2212-0963, Vol: 41, Page: 100537
2023
- 1Citations
- 36Captures
- 1Mentions
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Individual perception about climate risks is critical for adopting mitigation and adaptation measures, yet international experience shows that individual perception might fundamentally deviate from objective changes. So far, little attention has been paid in the literature to understanding the role of ICTs in improving the accuracy of farmers' perceptions of actual drought occurrence. Therefore, this study aims to fill this gap by analyzing the discrepancy between farmers' subjective perceptions and actual drought occurrence. Furthermore, the study investigates the role of smartphone-based weather information on accurate perception of drought. Subjective drought assessment was obtained by a cross-sectional dataset of 2830 farm-level observations collected in Kyrgyzstan, Mongolia and Uzbekistan in 2021. For measuring objective meteorological drought occurrence, this study employs a standardized precipitation evapotranspiration index (SPEI) based on satellite imagery. The role of smartphone-based weather information acquisition on drought perception accuracy was measured by Propensity score matching. The comparison of objective and subjective assessment showed that 67 percent of farmers in Kyrgyzstan, 32 percent in Mongolia and 46 percent in Uzbekistan perceived meteorological drought inaccurately. The PSM estimates indicate that smartphone-based weather information acquisition significantly influences accurate meteorological drought perception. With these results, we advocate for higher attention to improving internet speed in rural areas and providing online weather information also to farmers with low digital literacy and low incomes.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2212096323000633; http://dx.doi.org/10.1016/j.crm.2023.100537; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85166020121&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2212096323000633; https://dx.doi.org/10.1016/j.crm.2023.100537
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know