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| Registros recuperados: 42 | |
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| Bigano, Andrea; Cassinelli, Mariaester; Sferra, Fabio; Guarrera, Lisa; Karbuz, Sohbet; Hafner, Manfred; Markandya, Anil; Navrud, Stale. |
| This paper is the first to assess operational and probabilistic externalities of oil extraction and transportation to Europe on the basis of a comprehensive evaluation of realistic future oil demand-supply scenarios, of the relative relevance of import routes, of the local specificities in terms of critical passages and different burdens and impacts along import routes. The resulting externalities appear reasonable both under the assumption of high future demand and under low demand. Estimates range from 2.32 Euro in 2030 in the low demand scenario to 2.60 Euro in 2010 in the high demand scenario per ton of imported oil. |
| Tipo: Working or Discussion Paper |
Palavras-chave: Oil Transport; Externalities Oil Spills; Risk Analysis; Resource /Energy Economics and Policy; Q32; Q25; Q41; R40. |
| Ano: 2009 |
URL: http://purl.umn.edu/50362 |
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| Scott, K. Rebecca. |
| The combination of habits and a forward outlook suggests that consumers will be sensitive not just to prices but to price dynamics. In particular, rational habits models suggest 1. that price volatility and uncertainty will reduce demand for a habit-forming good and 2. that such volatility will dampen demands responsiveness to price. These two implications can be tested by augmenting a traditional partial-adjustment or error-correction model of demand. I apply this augmented model to data on gasoline consumption, as rational habits provide a succinct representation for the investment and behavioral decisions that determine gasoline usage. The trade-o¤s among 2SLS, system GMM, and pooled mean group (PMG) estimators are considered, and my preferred PMG... |
| Tipo: Working Paper |
Palavras-chave: Gasoline demand; Rational habits; Price elasticity; Research Methods/ Statistical Methods; H30; Q40; Q41; Q50; R40. |
| Ano: 2012 |
URL: http://purl.umn.edu/122891 |
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| Gans, Will; Alberini, Anna; Longo, Alberto. |
| Using a unique set of data and exploiting a large-scale natural experiment, we estimate the effect of real-time usage information on residential electricity consumption in Northern Ireland. Starting in April 2002, the utility replaced prepayment meters with “smart” meters that allow the consumer to track usage in real-time. We rely on this event, account for the endogeneity of price and plan with consumption through a plan selection correction term, and find that the provision of information is associated with a decline in electricity consumption of up to 20%. We find that the reduction is robust to different specifications, selection-bias correction methods and subsamples of the original data. At £15-17 per tonne of CO2e (2009£), the smart meter program... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Residential Energy; Electricity Demand; Feedback; Smart Meter; Information; Resource /Energy Economics and Policy; Q40; Q41; D8. |
| Ano: 2011 |
URL: http://purl.umn.edu/108202 |
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| Tuyen, Tran Minh; Michaelowa, Axel. |
| For projects under the Clean Development Mechanism (CDM), a baseline has to be set to allow calculation of the greenhouse gas emissions reductions achieved. An important obstacle to CDM project development is the lack of data for baseline definition; often project developers do not have access to data and therefore incur high transaction costs to collect them. The government of Vietnam has set up all necessary institutions for CDM, wants to promote CDM projects and thus is interested to reduce transaction costs. We calculate emission factors of the Vietnam electricity grid according to the rules defined by the CDM Executive Board for small scale projects and for large renewable electricity generation projects. The emission factors lie between 365 and 899 g... |
| Tipo: Working or Discussion Paper |
Palavras-chave: CDM; Baseline; Electricity generation; Vietnam; Public Economics; Risk and Uncertainty; D62; F18; Q25; Q41. |
| Ano: 2004 |
URL: http://purl.umn.edu/26393 |
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| Jensen, Kimberly L.; Marra, Adrienne; Clark, Christopher D.; English, Burton C.. |
| This study examines consumers' WTP for reductions in greenhouse gas emissions from E85 as opposed to gasoline. Data were collected via a contingent choice exercise in a 2009 national online survey. As part of the fuel choice exercise, several fuel attributes were allowed to vary including emission reductions, import level, proximity of fuel availability, price, and fuel blend (E85 or regular gasoline). A random parameters model with demographics and attitudes interacted with emission reductions was estimated. The resulting estimates suggest that, overall the WTP for an emission reduction is not statistically significant. However, for some demographic and attitudinal profiles, the WTP is significant. An example profile includes younger age, female,... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Willingness to Pay; Emission Reductions; E85; Consumer/Household Economics; Environmental Economics and Policy; Q41; Q51. |
| Ano: 2010 |
URL: http://purl.umn.edu/60916 |
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| Bazilian, Morgan; Nussbaumer, Patrick; Rogner, Hans-Holger; Brew-Hammond, Abeeku; Foster, Vivien; Kammen, Daniel M.; Pachauri, Shonali; Eric, Williams; Howells, Mark; Niyongabo, Philippe; Musaba, Lawrence; O Gallachoir, Brian; Radka, Mark. |
| In order to reach a goal of universal access to modern energy services in Africa by 2030, consideration of various electricity sector pathways is required to help inform policy-makers and investors, and help guide power system design. To that end, and building on existing tools and analysis, we present several ‘high-level’, transparent, and economy-wide scenarios for the sub-Saharan African power sector to 2030. We construct these simple scenarios against the backdrop of historical trends and various interpretations of universal access. They are designed to provide the international community with an indication of the overall scale of the effort required. We find that most existing projections, using typical long-term forecasting methods for power... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Energy Access; Power System Planning; Sub-Saharan Africa; Resource /Energy Economics and Policy; C1; Q41; Q47. |
| Ano: 2011 |
URL: http://purl.umn.edu/116904 |
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| Miller, J. Corey; Coble, Keith H.. |
| As a result of the increase in the real cost of fossil fuel-based energy in recent years, federal and state governments have taken a more active role in energy policy by creating incentives to develop alternative sources of energy, including biofuels. However, policymakers often become focused on the specific type of energy and not the energy services consumers ultimately value. The lack of recognition of energy as a commodity results in policies that ignore the characteristics of the associated markets: easy entry and exit, no barriers to entry, and sensitivity to changes in supply and demand. Consequently, energy industries may fail to arise because entrepreneurs must be able to account for all costs and earn—at a minimum—a competitive return on the... |
| Tipo: Journal Article |
Palavras-chave: Alternative energy; Biofuels; Energy policy; Resource /Energy Economics and Policy; Q41; Q42; Q48. |
| Ano: 2011 |
URL: http://purl.umn.edu/113534 |
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| Cattaneo, Cristina; Manera, Matteo; Scarpa, Elisa. |
| In recent years, concerns regarding the environmental implications of the rising coal demand have induced considerable efforts to generate long-term forecasts of China’s energy requirements. Nevertheless, none of the previous empirical studies on energy demand for China has tackled the issue of modelling coal demand in China at provincial level. The aim of this paper is to fill this gap. In particular, we model and forecast the Chinese demand for coal using time series data disaggregated by provinces. Moreover, not only does our analysis account for heterogeneity among provinces, but also, given the nature of the data, it captures the presence of spatial autocorrelation among provinces using a spatial econometric model. A fixed effects spatial lag model... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Energy demand; Coal demand; China; Spatial econometrics; Panel data; Forecasting; Resource /Energy Economics and Policy; C23; E6; Q31; Q41. |
| Ano: 2008 |
URL: http://purl.umn.edu/44425 |
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| Registros recuperados: 42 | |
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