Center For Environmental and Resource Economics
Center For Environmental and Resource Economics
Joshi S.R.,Center for Environmental and Resource Economics |
Joshi S.R.,Umeå University |
Vielle M.,Ecole Polytechnique Federale de Lausanne |
Babonneau F.,Ecole Polytechnique Federale de Lausanne |
And 2 more authors.
Environmental and Resource Economics | Year: 2015
This paper develops a modelling framework that links GEMINI-E3, a multi-regional, multi-sectoral computable general equilibrium model with a cost-benefit analysis approach at local level using geographical information system tools to assess the physical and economic consequences of sea-level rise (SLR) in the twenty first century. A set of future scenarios is developed spanning the uncertainties related to global warming, the parameters of semi-empirical SLR estimates, and coastal developments (cropland, urban areas and population). The importance of incorporating uncertainties regarding coastal development is highlighted. The simulation results suggest that the potential development of future coastal areas is a greater source of uncertainty than the parameters of SLR itself in terms of the economic consequences of SLR. At global level, the economic impact of SLR could be significant when loss of productive land along with loss of capital and forced displacement of populations are considered. Furthermore, highly urbanised and densely populated coastal areas of South East Asia, Australia and New Zealand are likely to suffer significantly if no protective measures are taken. Hence, it is suggested that coastal areas needs to be protected to ameliorate the overall welfare cost across various regions. © 2015 Springer Science+Business Media Dordrecht
Krishnamurthy C.K.B.,Umeå University |
Krishnamurthy C.K.B.,Royal Swedish Academy Of Sciences |
Kristrom B.,Center for Environmental and Resource Economics
Energy Journal | Year: 2015
When the agent making an investment decision is different from the one bearing the costs of the decision, the outcome (energy usage, here) is socially sub-optimal, a scenario known in the energy efficient technology case as "split incentive" effect. Using a sample of households (from a survey conducted in 2011) from 11 OECD countries, this paper investigates the magnitude of the "split incentive" effect between home occupants who are owners and those who are renters. A wide variety of energy-related "technologies" are considered: appliances, energy efficient bulbs, insulation, heat thermostat, solar panels, ground source heat pumps and wind turbines. Mean difference in patterns of access to these technologies are consistent with the "split incentives" hypothesis. Regression results suggest that, even after controlling for the sizeable differences in observed characteristics, owners are substantially more likely to have access to energy efficient appliances and to better insulation as well as to heat thermostats. For relatively immobile investments such as wind turbines and ground source heat pumps, we find no differences between owners and renters. Copyright © 2015 by the IAEE. All rights reserved.
Karimu A.,Umeå University |
Brannlund R.,Center For Environmental and Resource Economics
Energy Economics | Year: 2013
This paper studies whether the commonly used linear parametric model for estimating aggregate energy demand is the correct functional specification for the data generating process. Parametric and nonparametric econometric approaches to analyzing aggregate energy demand data for 17 OECD countries are used. The results from the nonparametric correct model specification test for the parametric model rejects the linear, log-linear and translog specifications. The nonparametric results indicate that the effect of the income variable is nonlinear, while that of the price variable is linear but not constant. The nonparametric estimates for the price variable is relatively low, approximately - 0.2. © 2012 Elsevier B.V.
Vesterberg M.,Center for Environmental and Resource Economics |
Vesterberg M.,Umeå University
Energy Economics | Year: 2016
Using a detailed data set on appliance-level electricity consumption at the hourly level, we provide the first estimates of hourly and end-use-specific income elasticities for electricity. Such estimates are informative about how consumption patterns in general, and peak demand in particular, will develop as households' income changes. We find that the income elasticities are highest during peak hours for kitchen and lighting, with point estimates of roughly 0.4, but insignificant for space heating. © 2016 Elsevier B.V.
Brannlund R.,Center for Environmental and Resource Economics |
Brannlund R.,Swedish University of Agricultural Sciences |
Brannlund R.,Umeå University |
Lundgren T.,Center for Environmental and Resource Economics |
And 2 more authors.
Environmental Economics and Policy Studies | Year: 2010
This study investigates the effect of a CO2 tax on profitability by using firm-level data on output and inputs from Swedish industry between 1990 and 2004. The purpose of this exercise is to investigate the validity of the so-called Porter hypothesis. By utilizing a factor-demand modeling approach, and specifying a profit function that has a technology component dependent upon firm-specific effective tax on CO2, we are able to separate out the effect of regulatory pressure on technological progress. The results indicate that there is evidence of a "reversed" Porter effect in most industrial sectors, especially in energy-intensive industries; that is, after controlling for the fuel price effect, technological progress and consequently profits are further negatively affected by the CO2 tax. © 2010 Springer.
Gong P.,Center for Environmental and Resource Economics |
Lofgren K.-G.,Umeå University |
Rosvall O.,Forestry Research Institute of Sweden
Natural Resource Modeling | Year: 2013
The paper assesses the welfare effects of biotechnological progress, as exemplified by tree improvements, using a partial equilibrium model. Timber demand is assumed to be stochastic and the distributions of its coefficients known. The coefficients of a log-linear supply function are determined by maximizing the expected present value of the total surplus of timber production, both in the presence and in the absence of genetically improved regeneration materials. The supply functions are then used to estimate the expected present values of the total surplus in different cases through simulation. These estimates enable us to assess the direct effect and the effect of changing harvest behavior on the expected present value of the total surplus. The main results of the study are (i) the presence of genetically improved regeneration materials has significant impacts on the aggregate timber supply function; (ii) the application of genetically improved regeneration materials leads to a significant increase in the expected present value of the total surplus; and (iii) a considerable proportion of the welfare gain results from the change in harvest behavior. A conclusion we draw from this study is that ignoring the influences of technological and policy changes on behavior can lead to significantly biased welfare estimates. We view the model as a potential approach to conducting counterfactual policy comparisons in economics without forward-looking data. © 2012 Wiley Periodicals, Inc.
Broberg T.,Center for Environmental and Resource Economics |
Kazukauskas A.,Center for Environmental and Resource Economics
International Review of Environmental and Resource Economics | Year: 2014
A rather large literature argues that firms and households do not always improve energy efficiency by investing in new technology even if it would be cost-effective to do so. In this paper, we review the theoretical and empirical literature on the so-called energy efficiency gap and provide a rationale for policymakers to act to improve energy efficiency. By eliminating market failures, welfare can be improved in a broad sense, including both environmental quality and material welfare. We also discuss social 'nudges' as examples of policy instruments that do not directly target any market failure in energy markets but that still may have a significant impact on energy use. Although we acknowledge the existence of the energy efficiency gap, we argue that the gap in general is overestimated as parts of it can be explained by heterogeneity in preferences and thus explained by rational choices. © 2015 T. Broberg and A. Kazukauskas.