Aftab, Ashar and Ahmed, Ajaz and Scarpa, Riccardo (2021) 'Farm households’ perception of weather change and flood adaptations in Northern Pakistan.', Ecological economics., 182 . p. 106882.
Abstract
This research investigates farm households' adaptations to climate change-driven monsoon floods in the rural district of Nowshera, Pakistan. Some households in these flood-affected communities have undertaken autonomous adaptations to flooding. We surveyed five hundred farm households from both flood-affected and unaffected villages to investigate the factors driving the uptake of the following autonomous flood adaptations: plinth elevation, grain storage, participation in communal flood preparations and the creation of edge-of-field tree lined shelterbelts. We used both binary and multivariate probit regressions to investigate the correlation across adaptation options. Empirical results suggest that access to agricultural extension services, off-farm work opportunities, past duration of standing floodwaters, farm to river distance, receiving post-flooding support and tribal diversity are the main drivers of flood adaptations. Moreover, we report the complementary uptake of adaptations in pairs. Given the prediction of climate change-driven flooding in the Hindu Kush, we recommend cost-effective policies that increase the resilience of vulnerable agricultural-dependent rural communities. In addition, we report that respondents perceived a change in weather towards hotter and dryer weather over the last ten years.
Item Type: | Article |
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Full text: | (AM) Accepted Manuscript Available under License - Creative Commons Attribution Non-commercial No Derivatives. Download PDF (1741Kb) |
Status: | Peer-reviewed |
Publisher Web site: | https://doi.org/10.1016/j.ecolecon.2020.106882 |
Publisher statement: | © 2020 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Date accepted: | 06 October 2020 |
Date deposited: | 15 October 2020 |
Date of first online publication: | 15 January 2021 |
Date first made open access: | 15 January 2022 |
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