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Essays on energy demand and efficiency analysis

Tirkaso, Wondmagegn Tafesse (2018). Essays on energy demand and efficiency analysis. Diss. (sammanfattning/summary) Uppsala : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2018:60
ISBN 978-91-7760-260-6
eISBN 978-91-7760-261-3
[Doctoral thesis]

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This thesis consists of four papers focusing on the issues of energy demand and efficiency analysis in the agricultural and environmental sectors. The first paper examined the long-run relationship among rainfall distribution, electricity consumption and economic growth (GDP) in Ethiopia using time series data between 1981 and 2014. Results indicated the existence of unidirectional Granger causality from rainfall to real GDP, and bidirectional Granger causality between capital stock and real GDP. There was also evidence of unidirectional Granger causality from real GDP to electricity consumption but not vice versa. The second paper estimated national and regional-level gasoline and diesel demand elasticities in Sweden using county-level panel data for the period 2001-2015. National-level elasticity estimates from a partial adjustment model indicated that per capita income, own and substitute prices, and per capita vehicle stocks were statistically significant in determining gasoline demand, and per capita income and own price were statistically significant in diesel demand case. Furthermore, regional elasticity estimates were computed from the national estimates, revealing a variation between counties, with the highest being approximately 40% greater than the lowest in absolute terms. The third paper evaluated cost efficiency associated with hydropower-related biodiversity restoration projects in Sweden based on a survey data from 245 projects. The results provided evidence of cost inefficiency with an average efficiency score of 55%, suggesting the potential to minimise cost efficiency loss by up to 45%. Factors such as project duration, project owner and restoration measure type were statistically significant determinants of cost inefficiency score. The fourth paper estimated farmers’ level of technical efficiency score and examined its connection with commercialisation using a survey data in rural Ethiopia. Estimates from the stochastic frontier production function showed that farmers had a mean technical efficiency score of 51%. The variables related to educational level and radio and mobile telephone access were positively linked to farmers’ technical efficiency. Furthermore, farmers with a higher level of commercialisation were technically more efficient than those with lower market participation.

Authors/Creators:Tirkaso, Wondmagegn Tafesse
Title:Essays on energy demand and efficiency analysis
Series Name/Journal:Acta Universitatis Agriculturae Sueciae
Year of publishing :25 October 2018
Depositing date:8 November 2018
Number of Pages:26
ITirkaso, W.T. (2018). Dynamics of rainfall, electricity consumption and economic growth in Ethiopia. (manuscript).
IITirkaso, W.T. (2018). Gasoline and diesel demand elasticities in Sweden (manuscript).
IIITirkaso, W.T. and Gren, I-M. (2018). Evaluation of cost efficiency in hydropower-related biodiversity restoration projects in Sweden: A stochastic frontier approach (Manuscript).
IVTirkaso, W.T. and Hess, S*. (2018). Does commercialisation drive technical efficiency improvements in Ethiopian subsistence agriculture? African Journal of Agricultural and Resource Economics, 13(1), pp. 44-57
Place of Publication:Uppsala
Publisher:Department of Economics, Swedish University of Agricultural Sciences
ISBN for printed version:978-91-7760-260-6
ISBN for electronic version:978-91-7760-261-3
Publication Type:Doctoral thesis
Full Text Status:Public
Agris subject categories.:P Natural resources > P05 Energy resources management
Subjects:(A) Swedish standard research categories 2011 > 5 Social Sciences > 502 Economics and Business > Economics
Keywords:rainfall, electricity consumption, economic growth, fuel demand, elasticity, technical efficiency, stochastic frontier, biodiversity restoration, Ethiopia, Sweden
Permanent URL:
ID Code:15748
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Economics
Deposited By: Wondmagegn Tafesse Tirkaso
Deposited On:09 Nov 2018 09:44
Metadata Last Modified:09 Sep 2020 14:17

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