Testing and estimating time-varying elasticities of Swiss gasoline demand

Neto, David

doi:10.1016/j.eneco.2012.07.009

Cited by 31 publications

(16 citation statements)

References 23 publications

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“…In addition, we review two studies which employed the same econometric approach as this study. Park and Zhao (2010) and Neto (2012) studied gasoline demand modeling using time-varying cointegration coefficient techniques for the United States and Switzerland, respectively. Their findings were more relevant to this study than the studies using fixed coefficient estimation methods alluded to previously.…”

Section: Literature Reviewmentioning

confidence: 99%

Gasoline demand in Saudi Arabia: are the price and income elasticities constant?

Mikayilov

Joutz

Hasanov

2020

Energy Sources, Part B: Economics, Planning, and Policy

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The paper investigates gasoline consumption in case of oil-exporting country applying Time-varying Coefficient Cointegration approach to the data from 1980 to 2017. Empirical estimations show that long-run income and price elasticities are not constant and are responsive to price and income fluctuations in the period considered. The income elasticity of gasoline demand increased until 2014, peaking at 0.151, following growth in disposable income, before declining to 0.136 in 2017. However, consumers do not stop driving when their disposable incomes fall, resulting in a less elastic response of gasoline demand to income. Price elasticities sit in the range of −0.31 to −0.05, becoming less elastic when prices are low and vice versa. The findings of the study may be useful in successful implementation of energy price reforms and implementation of environmental policies.

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Section: Literature Reviewmentioning

confidence: 99%

Gasoline demand in Saudi Arabia: are the price and income elasticities constant?

Mikayilov

Joutz

Hasanov

2020

Energy Sources, Part B: Economics, Planning, and Policy

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“…The long-run income elasticities present more extensive variations: first they differ from one country to another, being almost systematically higher for less developed countries than for developed countries (McRae, 1994); second they display a temporal downward trend (Dahl, 1995;Espey, 1998;Goodwin et al, 2004). Normal-goods may demonstrate price elasticity (Neto, 2012;Wilkie & Godoy, 2001) The previous studies proposed frameworks and SCM models based on the assumption that buffers and inventories, alternate sources and markets resolve the disruptions. There are significant works on optimising SC operations by trading off between redundancies or resilience and leanness.…”

Section: Supply Chain Strategies: a Literature Reviewmentioning

confidence: 99%

The Supply Chain Disruption Framework Post COVID-19: A System Dynamics Model

Sinha

Bagodi

Dey

2020

Foreign Trade Review

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The COVID pandemic seems to have raised the question, ‘whether existing supply chain (SC) disruption philosophies and strategies continue to remain valid?’. This article assesses the differences in the business scenarios pre-and post-COVID. The authors capture the mathematical and operational relationships amongst the relevant factors and propose a System Dynamics (SD) model to carry out the simulations. The approach considers the impact of the force majeure condition, that is, COVID period on individuals’ income, prices and demand of goods, cost of input and supply of finished goods. The results show that earnings may increase demand but, disruption in supplies of raw materials and finished products nullify the effect. On the other hand, even if flow returns to normal, reduced income affects normal goods businesses. JEL Codes: R41

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“…Some studies have documented the effects of changes in crude oil prices on economic development and societies from various perspectives, focusing on the extent to which asymmetries in energy price elasticity have affected economic growth rates and domestic prices. Price asymmetries can be used to estimate the direction of changes in economic variables (Gately and Huntington [12]; Adeyemi and Hunt [13]; Ma et al [8]; Inglesi-Lotz [14]; Neto [15]). Alternatives between factors of production have also been used to analyze asymmetries (Roy et al [16]).…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptability to energy, production efficiency and the crude oil price: evidence from a small open economy

Huang¹,

Su²,

Yang³

et al. 2015

WIT Transactions on Ecology and the Environment

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Taiwan is an economy which is highly dependent on energy imports. A change in oil price not only affects the cost of production, but also the economic growth. Since the year 2000, the crude oil price has risen and become an unstable factor for economic development. In response to the rapid rising of emerging economies and the competitive international economic environment, Taiwan is facing a moment of industrial restructuring. Energy-saving technologies and improved efficiency might play important roles. It is necessary for Taiwan to improve its industrial productivity and production technology to contribute to the global warming problem. From crude oil intensity and change in spillover effects of crude oil price, we might detect whether industrial production efficiency and adaptability to energy and production technology improves or not. Based on the input-output table showing the monetary value of inputs to each sector and each row represents the value of each sector's outputs during the periods of 1981 to 2011, the present study employs the industry-related price model and factor decomposition model to investigate the change in Taiwan's reliance on crude oil through crude oil intensity. Although efforts have been made to advance technology and improve energy dependence, the results of this study indicate that imported crude oil intensity and price responsiveness have actually increased. Thus, the speed of improvement in energy technology is insufficient to keep up with the extent of economic growth.

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Testing and estimating time-varying elasticities of Swiss gasoline demand

Cited by 31 publications

References 23 publications

Gasoline demand in Saudi Arabia: are the price and income elasticities constant?

Gasoline demand in Saudi Arabia: are the price and income elasticities constant?

The Supply Chain Disruption Framework Post COVID-19: A System Dynamics Model

Adaptability to energy, production efficiency and the crude oil price: evidence from a small open economy

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