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Modelling Gasoline Demand in Ghana: A Structural Time Series Analysis

Yıl 2014, Cilt: 4 Sayı: 1, 76 - 82, 01.03.2014

Öz

Concerns about the role of energy consumption in global warming have led to policy designs that seek to reduce fossil fuel consumption or find a less polluting alternative especiallyfor the transport sector. This study seeks to estimate the elasticities of price, income, education and technology on transport gasoline demand sector inGhana. The Structural Time Series Model reports a short-run price and income elasticities of -0.0088 and 0.713. Total factor productivity is -0.408 whilstthe elasticity for education is 2.33. In the long run, the reported price and income elasticities are -0.065 and 5.129 respectively. The long run elasticityfor productivity is -2.935. The study recommends that in order to enhanceefficiency in gasoline consumption in the transport sector, there should beinvestment in productivity.

Yıl 2014, Cilt: 4 Sayı: 1, 76 - 82, 01.03.2014

Öz

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Ayrıntılar

Diğer ID JA83CR66VK
Bölüm Araştırma Makalesi
Yazarlar

İshmael Ackah Bu kişi benim

Frank Adu Bu kişi benim

Yayımlanma Tarihi 1 Mart 2014
Yayımlandığı Sayı Yıl 2014 Cilt: 4 Sayı: 1

Kaynak Göster

APA Ackah, İ., & Adu, F. (2014). Modelling Gasoline Demand in Ghana: A Structural Time Series Analysis. International Journal of Energy Economics and Policy, 4(1), 76-82.
AMA Ackah İ, Adu F. Modelling Gasoline Demand in Ghana: A Structural Time Series Analysis. IJEEP. Mart 2014;4(1):76-82.
Chicago Ackah, İshmael, ve Frank Adu. “Modelling Gasoline Demand in Ghana: A Structural Time Series Analysis”. International Journal of Energy Economics and Policy 4, sy. 1 (Mart 2014): 76-82.
EndNote Ackah İ, Adu F (01 Mart 2014) Modelling Gasoline Demand in Ghana: A Structural Time Series Analysis. International Journal of Energy Economics and Policy 4 1 76–82.
IEEE İ. Ackah ve F. Adu, “Modelling Gasoline Demand in Ghana: A Structural Time Series Analysis”, IJEEP, c. 4, sy. 1, ss. 76–82, 2014.
ISNAD Ackah, İshmael - Adu, Frank. “Modelling Gasoline Demand in Ghana: A Structural Time Series Analysis”. International Journal of Energy Economics and Policy 4/1 (Mart 2014), 76-82.
JAMA Ackah İ, Adu F. Modelling Gasoline Demand in Ghana: A Structural Time Series Analysis. IJEEP. 2014;4:76–82.
MLA Ackah, İshmael ve Frank Adu. “Modelling Gasoline Demand in Ghana: A Structural Time Series Analysis”. International Journal of Energy Economics and Policy, c. 4, sy. 1, 2014, ss. 76-82.
Vancouver Ackah İ, Adu F. Modelling Gasoline Demand in Ghana: A Structural Time Series Analysis. IJEEP. 2014;4(1):76-82.