Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers' climate adaptation in Ethiopia
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers' climate adaptation in Ethiopia
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50901 - Other social sciences
Result continuities
Project
<a href="/en/project/GA15-23177S" target="_blank" >GA15-23177S: Determinants and consequences of international migration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Environment, Development and Sustainability
ISSN
1387-585X
e-ISSN
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Volume of the periodical
23
Issue of the periodical within the volume
5
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
44
Pages from-to
6869-6912
UT code for WoS article
000555371000002
EID of the result in the Scopus database
2-s2.0-85088983982