Modelling Household Cooking Fuel Choice: a Panel Multinomial Logit Approach

Alem, Yonas
Beyene, Abebe D.
Köhlin, Gunnar
Mekonnen, Alemmu
Dept. of Economics, University of Gothenburgsv
2015-10-28T14:30:55Z
2015-10-28T14:30:55Z
2015-10
JEL: C25, Q23, Q42, O13sv
We use three rounds of a rich panel data set to investigate the determinants of household cooking fuel choice and energy transition in urban Ethiopia. We observe that the expected energy transition did not occur following economic growth in Ethiopia during the decade 2000-2009. Regression results from a random effects multinomial logit model suggest that households’ economic status, price of alternative energy sources, and education are important determinants of fuel choice in urban Ethiopia. The results also suggest the use of multiple fuels, or “fuel stacking behavior” by households. We argue that policy makers could target these policy levers to encourage transition to cleaner energy sources.sv
42sv
1403-2465
http://hdl.handle.net/2077/40978
engsv
Working Papers in Economicssv
632sv
Ethiopiasv
urbansv
energy choicesv
random effects multinominal logitsv
Modelling Household Cooking Fuel Choice: a Panel Multinomial Logit Approachsv
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reportsv

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