scholarly journals Estimation of diesel fuel demand function using panel data

2017 ◽  
Vol 26 (2) ◽  
pp. 80-92
Author(s):  
Chansu Lim
2016 ◽  
Vol 9 (4) ◽  
pp. 305
Author(s):  
Azzaddin Agbareia ◽  
Tal Shvartzman ◽  
Doron Lavee

Energy Policy ◽  
1990 ◽  
Vol 18 (3) ◽  
pp. 255-266
Author(s):  
K.F. Bennett
Keyword(s):  

2019 ◽  
Vol 25 (8) ◽  
pp. 1286-1301 ◽  
Author(s):  
Oddne Skrede ◽  
Sigbjorn Landazuri Tveteraas

The rapid growth of cruise tourism has spurred a debate on about spillover effects on other sectors in the port destination. In this study, we investigate the effect of cruise tourism on the demand for hotels, restaurants and cafés. We estimate a demand function for this sector applying a spatial autocorrelation regression model using panel data from Norway. The results show positive, albeit modest, demand spillover effects of cruise tourism to these onshore businesses. Policy implications and limitations of the study are discussed.


2011 ◽  
Vol 02 (01) ◽  
pp. 49-53 ◽  
Author(s):  
Lorena Škuflić ◽  
Igor Štoković
Keyword(s):  

2021 ◽  
Vol 9 (3) ◽  
pp. 357-367
Author(s):  
Hanna Sri Meiliani Uli Simangunsong ◽  
Bintang Charles Hamonangan Simangunsong ◽  
Elisa Ganda Togu Manurung

The export value of Indonesia’s wooden furniture was sharply decreased by about 31.9% over the period in 2007-2018. On the other hand, global wooden furniture export was increased by 5.8% during the same period. Understanding the behavior of the demand side of Indonesia’s wooden furniture exports that is reflected by its relative price and income elasticities is needed for the policy development of Indonesia’s wooden furniture industry in the future. The objective of this study was to estimate the export demand function of Indonesia wooden furniture using a panel data regression model. Three types of panel data models, such as pooled ordinary least squares model, fixed-effects model, and random effects model, were investigated. The results showed that the export demand function of Indonesia wooden furniture could be well estimated using the fixed effects model. Relative price elasticity and income elasticity were -0.45 and 0.8, respectively. The adjusted R2 value obtained was 0.99. Keywords: export demand function, panel data regression, wooden furniture


Energy ◽  
2013 ◽  
Vol 49 ◽  
pp. 240-251 ◽  
Author(s):  
Ibrahim Abada ◽  
Vincent Briat ◽  
Olivier Massol

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