This study applied a logistic regression model to determine the odds ratio of selecting clean ver- sus unclean energy as the main household fuel choice. This study also undertook to establish the coefficients of the factors determining household fuel energy choice. A large microeconomic dataset...

Airline fuel consumption is costly for the firms and for society as well due to a climate-change externality. We study how fuel price changes affect cost-minimizing choices by airlines that have implications for the extent of this externality. The airline industry's capital stock can be easily...

We investigate the impact of electrification on the economic, educational, and environmental outcomes of the Lao People's Democratic Republic (Lao PDR). We use household-level data and a novel identification scheme, whereby we instrument the electrification status with the proportion of...

How serious is indoor air pollution (IAP) as a threat to infants and children? This paper estimates the impact of cooking fuel choice – a predominant source of IAP – on under-five mortality in India, where reliance on biomass fuels such as firewood, animal dung, and agricultural waste is...

We investigate the impact of electrification on the economic, educational, and environmental outcomes of the Lao People's Democratic Republic (Lao PDR). We use household-level data and a novel identification scheme, whereby we instrument the electrification status with the proportion of...

Charcoal is a dominant energy source in urban areas of Uganda, and increases in retail prices in the past have led to social unrest. This paper assesses the relationship between charcoal and fuel prices to determine whether fuel prices influence the retail price of charcoal. We specify a...

Airline fuel consumption is costly for the firms and for society as well due to a climate-change externality. We study how fuel price changes affect cost-minimizing choices by airlines that have implications for the extent of this externality. The airline industry's capital stock can be easily...

We analyze the effectiveness of the German tax reduction on fuel prices ('Tankrabatt') that was introduced for three months, starting on 1 June 2022. Using the synthetic control method to compare actual prices of gasoline and diesel to those in a counterfactual situation without the tax...

This study applied a logistic regression model to determine the odds ratio of selecting clean ver- sus unclean energy as the main household fuel choice. This study also undertook to establish the coefficients of the factors determining household fuel energy choice. A large microeconomic dataset...

This paper, the first of two on global oil theft and fraud, discusses the prevalence, methods, and consequences of global oil theft, valued at US$133 billion per year and equivalent to 5-7 per cent of the global market for crude oil and petroleum fuels. However, the impact of oil theft is...

This second of two papers on global oil theft discusses ways to reduce oil theft, misappropriation, and fraud. At US$133 billion per year, oil is the largest stolen natural resource globally, while fuel is the most smuggled natural resource. Oil theft equates to 5-7 per cent of the global market...

This paper investigates the dynamics of price transmission among ethanol a biodiesel related prices on the Brazilian, US and EU markets. The prices of commodities related to the biofuels are examined under the Johansen co-integration test followed by the Vector Error Correction Model over the...

This paper, the first of two on global oil theft and fraud, discusses the prevalence, methods, and consequences of global oil theft, valued at US$133 billion per year and equivalent to 5-7 per cent of the global market for crude oil and petroleum fuels. However, the impact of oil theft is...

We analyze the effectiveness of the German tax reduction on fuel prices ('Tankrabatt') that was introduced for three months, starting on 1 June 2022. Using the synthetic control method to compare actual prices of gasoline and diesel to those in a counterfactual situation without the tax...

The purchase of multifuel vehicles (MFVs) has been incentivized by policies across the globe. Such vehicles are able to operate on more than one source of energy, so they introduce fuel (or energy) choice as one additional dimension consumers decide about. As fuels differ in terms of carbon...

This second of two papers on global oil theft discusses ways to reduce oil theft, misappropriation, and fraud. At US$133 billion per year, oil is the largest stolen natural resource globally, while fuel is the most smuggled natural resource. Oil theft equates to 5-7 per cent of the global market...

Oil and its derivatives are very important goods in the world, not only because of their huge use but also because the consequences of that use. The literature has plenty of works with economic analysis of the use of oil. Having available a huge amount of data, we propose an innovative approach:...

This study investigates the causal link between electrification and the adoption of modern (andcleaner) cooking fuels, more specifically Liquefied Petroleum Gas (LPG). In order to correct forthe potential endogeneity in the placement of electrical infrastructure, we exploit an...

The transition to sustainable energy requires an assessment of drivers of the use of clean and dirty fuels for cooking. Literature highlights the importance of access to modern fuel for switching from dirty fuels. Though access to cleaner fuels such as electricity promotes clean fuel use, it...

Electric vehicles are declining in cost so rapidly that they may claim a large share of the vehicle market by 2030. This paper examines a set of practical regulatory design considerations for fuel-economy standards or greenhouse gas standards in the context of highly uncertain electric vehicle...

Oil and its derivatives are very important goods in the world, not only because of their huge use but also because the consequences of that use. The literature has plenty of works with economic analysis of the use of oil. Having available a huge amount of data, we propose an innovative approach:...