Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers' climate adaptation in Ethiopia
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F21%3A10247517" target="_blank" >RIV/61989100:27510/21:10247517 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/article/10.1007%2Fs10668-020-00897-6" target="_blank" >https://link.springer.com/article/10.1007%2Fs10668-020-00897-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10668-020-00897-6" target="_blank" >10.1007/s10668-020-00897-6</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers' climate adaptation in Ethiopia
Popis výsledku v původním jazyce
Climate change adaptations by farmers are usually analysed with multinomial choice models, which ignore heterogeneity and 'mixing' across alternatives and individuals. Moreover, not enough attention is devoted to basic utilities other than extension services. Aimed at a reassessment that accounts for these issues, this paper formulates conditional and mixed logit (logit kernel) models with/without neighbourhood effects. In particular, a spatial logit kernel allows capturing behavioural differences and interdependence between neighbours. The analysis was based on a survey covering 162 villages of the Ethiopian Nile basin, with 50 farm households-multistage stratified randomly sampled-in each of 20 districts (woredas). Supplementary information concerned linear programming solutions on adaptation choice attributes in smallholder farming areas, under two scenarios. Lastly, cross-district aid emergency allocation priorities for food security and agriculture, among others, served as yardsticks for comparison with prevailing adjustment decisions and location characteristics. Closeness to farms with more educated farmers and larger plot sizes turned out to increase the likelihood of a household opting to sell livestock and land along with combined measures of farmland enhancement. Logit kernel outperformed conditional logit in explanatory power, and random parameters highlighted individual and group heterogeneity in preferences. Access to electricity, healthcare, and reliable and safe water supply strengthen farmers' ability to respond to climate change. Specific adaptation measures can contribute in turn to improve the capacity of rural communities to mitigate the severity of health and nutrition crises. By contrast, inworedashit by recurrent epidemics and droughts, many farmers appear to be unable to resort even to basic adaptation measures, such as planting of new trees. This prompts an additional need for institutional support and infrastructure development.
Název v anglickém jazyce
Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers' climate adaptation in Ethiopia
Popis výsledku anglicky
Climate change adaptations by farmers are usually analysed with multinomial choice models, which ignore heterogeneity and 'mixing' across alternatives and individuals. Moreover, not enough attention is devoted to basic utilities other than extension services. Aimed at a reassessment that accounts for these issues, this paper formulates conditional and mixed logit (logit kernel) models with/without neighbourhood effects. In particular, a spatial logit kernel allows capturing behavioural differences and interdependence between neighbours. The analysis was based on a survey covering 162 villages of the Ethiopian Nile basin, with 50 farm households-multistage stratified randomly sampled-in each of 20 districts (woredas). Supplementary information concerned linear programming solutions on adaptation choice attributes in smallholder farming areas, under two scenarios. Lastly, cross-district aid emergency allocation priorities for food security and agriculture, among others, served as yardsticks for comparison with prevailing adjustment decisions and location characteristics. Closeness to farms with more educated farmers and larger plot sizes turned out to increase the likelihood of a household opting to sell livestock and land along with combined measures of farmland enhancement. Logit kernel outperformed conditional logit in explanatory power, and random parameters highlighted individual and group heterogeneity in preferences. Access to electricity, healthcare, and reliable and safe water supply strengthen farmers' ability to respond to climate change. Specific adaptation measures can contribute in turn to improve the capacity of rural communities to mitigate the severity of health and nutrition crises. By contrast, inworedashit by recurrent epidemics and droughts, many farmers appear to be unable to resort even to basic adaptation measures, such as planting of new trees. This prompts an additional need for institutional support and infrastructure development.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50901 - Other social sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/GA15-23177S" target="_blank" >GA15-23177S: Determinanty a dopady mezinárodní migrace</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Environment, Development and Sustainability
ISSN
1387-585X
e-ISSN
—
Svazek periodika
23
Číslo periodika v rámci svazku
5
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
44
Strana od-do
6869-6912
Kód UT WoS článku
000555371000002
EID výsledku v databázi Scopus
2-s2.0-85088983982