Spatial Patterns and Determinants of Agricultural Resilience: Evidence From Senegal DOI Creative Commons
Mohammad Tirgariseraji, A. Pouyan Nejadhashemi, Ignacio A. Ciampitti

et al.

Food and Energy Security, Journal Year: 2025, Volume and Issue: 14(2)

Published: March 1, 2025

ABSTRACT The undesirable consequences of climate change on crop yields threaten the resiliency farmers' livelihoods in climate‐vulnerable regions. Assessing resilience agrifood systems to and non‐climate hazards helps identify solutions for ensuring sustainability farming households. literature review indicates that a knowledge gap remains interpreting outputs generated by procedures under various study‐specific conditions. A selected articles from 1547 documents among Senegalese farmers identified relevant indices representing nine studies, resulting 83 observations index control variables. This study utilized spatial meta‐data survival regression analysis examine effects regional interactions, shock types, factor selection measured through following phases: (1) Organizing meta‐data, (2) specifying eight meta‐regression models assess bias data variations interaction effect sample size, (3) converting analyze failure exposure time‐to‐event failure, (4) regressing types agroecological zone conditions outcomes phase three. results indicated “climate hazard” shock, “COVID‐19” “seed diversity effect” were primary contributors highest capacity. lag significantly affected magnitude. Accounting changed negative positive variables different types. For example, when accounting lag, impact “other sources” shifted compared indicating their influence capacity direction. shock‐type was significant, regardless whether sources remained constant or changed. findings emphasize need policy considerations regarding measurement procedures, factors, shock‐specific interventions avoid overestimation underestimation resilience. instance, should be improved distinguishing between permanent temporary shocks, as well considering vulnerability interacting regions comparison isolated Failure incorporate these factors may result an “non‐climate” shocks.

Language: Английский

Spatial Patterns and Determinants of Agricultural Resilience: Evidence From Senegal DOI Creative Commons
Mohammad Tirgariseraji, A. Pouyan Nejadhashemi, Ignacio A. Ciampitti

et al.

Food and Energy Security, Journal Year: 2025, Volume and Issue: 14(2)

Published: March 1, 2025

ABSTRACT The undesirable consequences of climate change on crop yields threaten the resiliency farmers' livelihoods in climate‐vulnerable regions. Assessing resilience agrifood systems to and non‐climate hazards helps identify solutions for ensuring sustainability farming households. literature review indicates that a knowledge gap remains interpreting outputs generated by procedures under various study‐specific conditions. A selected articles from 1547 documents among Senegalese farmers identified relevant indices representing nine studies, resulting 83 observations index control variables. This study utilized spatial meta‐data survival regression analysis examine effects regional interactions, shock types, factor selection measured through following phases: (1) Organizing meta‐data, (2) specifying eight meta‐regression models assess bias data variations interaction effect sample size, (3) converting analyze failure exposure time‐to‐event failure, (4) regressing types agroecological zone conditions outcomes phase three. results indicated “climate hazard” shock, “COVID‐19” “seed diversity effect” were primary contributors highest capacity. lag significantly affected magnitude. Accounting changed negative positive variables different types. For example, when accounting lag, impact “other sources” shifted compared indicating their influence capacity direction. shock‐type was significant, regardless whether sources remained constant or changed. findings emphasize need policy considerations regarding measurement procedures, factors, shock‐specific interventions avoid overestimation underestimation resilience. instance, should be improved distinguishing between permanent temporary shocks, as well considering vulnerability interacting regions comparison isolated Failure incorporate these factors may result an “non‐climate” shocks.

Language: Английский

Citations

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