Weather conditions in Colombia vary greatly throughout the territory and therefore the location of electricity generating plants plays a key role in their bid pricing strategies. To account for these location-specific pricing strategies this paper estimates a Spatial Durbin Model (SDM) with monthly data gathered from the 17th largest hydraulic electricity generating plants of Colombia on bid prices, generation, energy inputs and positive reconciliation over the period January 2005-August 2015 and controlling also for the system marginal prices and the economy cycle. The paper reports three main results. First, firms ? bid prices are negatively affected by the energy inputs of the rivals, second they are unaffected by positive reconciliation payments to the rivals and third they are negatively affected by the generation amounts of the rivals. One potential policy recommendation of these results is the need to implement balancing markets to signal more efficiently the pricing strategies in these markets.
{"title":"Spatial Effects in the Bid Price Setting Strategies of the Wholesale Electricity Markets: The Case of Colombia","authors":"John García, J. López-Rodríguez, Jhonny Moncada","doi":"10.2139/ssrn.2970662","DOIUrl":"https://doi.org/10.2139/ssrn.2970662","url":null,"abstract":"Weather conditions in Colombia vary greatly throughout the territory and therefore the location of electricity generating plants plays a key role in their bid pricing strategies. To account for these location-specific pricing strategies this paper estimates a Spatial Durbin Model (SDM) with monthly data gathered from the 17th largest hydraulic electricity generating plants of Colombia on bid prices, generation, energy inputs and positive reconciliation over the period January 2005-August 2015 and controlling also for the system marginal prices and the economy cycle. The paper reports three main results. First, firms ? bid prices are negatively affected by the energy inputs of the rivals, second they are unaffected by positive reconciliation payments to the rivals and third they are negatively affected by the generation amounts of the rivals. One potential policy recommendation of these results is the need to implement balancing markets to signal more efficiently the pricing strategies in these markets.","PeriodicalId":234456,"journal":{"name":"Politics & Energy eJournal","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116648602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The environmental justice movement validates the grassroots struggles of residents of places which Steve Lerner refers to as “sacrifice zones”: low-income and racialized communities shouldering more than their fair share of environmental harms related to pollution, contamination, toxic waste, and heavy industry. On this account, disparities in wealth and power, often inscribed and re-inscribed through social processes of racialization, are understood to produce disparities in environmental burdens. Here, we attempt to understand how these dynamics are shifting in the green energy economy under settler colonial capitalism. We consider the possibility that the political economy of green energy contains its own sacrifice zones. Drawing on preliminary empirical research undertaken in southwestern Ontario in 2015, we document local resistance to renewable energy projects. Residents mounted campaigns against wind turbines based on suspected health effects and against solar farms based on arable land and food justice concerns, and in both cases, grounded their resistance in a generalized claim, which might be termed a “right to landscape”. We conclude that this resistance, contrary to typical framings which dismiss it as NIMBYism, has resonances with broader claims about environmental justice and may signal larger structural shifts worth devoting scholarly attention to. In the end, however, we do not wholly accept the sacrifice zone characterization of this resistance either, as our analysis reveals it to be far more complex and ambiguous than such a framing allows. But we maintain that taking this resistance seriously, rather than treating it as merely obstructionist to a transition away from fossil capitalism, reveals a counter-hegemonic potential at its core. There are seeds in this resistance with the power to push back on the deepening of capitalist relations that would otherwise be ushered in by an uncritical embrace of “green energy” enthusiasm.
{"title":"'Sacrifice Zones' in the Green Energy Economy: Toward an Environmental Justice Framework","authors":"D. Scott, Adrian A. Smith","doi":"10.7202/1042776AR","DOIUrl":"https://doi.org/10.7202/1042776AR","url":null,"abstract":"The environmental justice movement validates the grassroots struggles of residents of places which Steve Lerner refers to as “sacrifice zones”: low-income and racialized communities shouldering more than their fair share of environmental harms related to pollution, contamination, toxic waste, and heavy industry. On this account, disparities in wealth and power, often inscribed and re-inscribed through social processes of racialization, are understood to produce disparities in environmental burdens. Here, we attempt to understand how these dynamics are shifting in the green energy economy under settler colonial capitalism. We consider the possibility that the political economy of green energy contains its own sacrifice zones. Drawing on preliminary empirical research undertaken in southwestern Ontario in 2015, we document local resistance to renewable energy projects. Residents mounted campaigns against wind turbines based on suspected health effects and against solar farms based on arable land and food justice concerns, and in both cases, grounded their resistance in a generalized claim, which might be termed a “right to landscape”. We conclude that this resistance, contrary to typical framings which dismiss it as NIMBYism, has resonances with broader claims about environmental justice and may signal larger structural shifts worth devoting scholarly attention to. In the end, however, we do not wholly accept the sacrifice zone characterization of this resistance either, as our analysis reveals it to be far more complex and ambiguous than such a framing allows. But we maintain that taking this resistance seriously, rather than treating it as merely obstructionist to a transition away from fossil capitalism, reveals a counter-hegemonic potential at its core. There are seeds in this resistance with the power to push back on the deepening of capitalist relations that would otherwise be ushered in by an uncritical embrace of “green energy” enthusiasm.","PeriodicalId":234456,"journal":{"name":"Politics & Energy eJournal","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130080304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Walls, K. Palmer, Todd D. Gerarden, Xian F. Bak
We look for evidence of capitalization of energy efficiency features in home prices using data from real estate multiple listing services (MLS) in three metropolitan areas: the Research Triangle region of North Carolina; Austin, Texas; and Portland, Oregon. These home listings include information on Energy Star certification and, in Portland and Austin, local green certifications. Our results suggest that Energy Star certification increases the sales prices of homes built between 1995 and 2006 but has no statistically significant effect on sales prices for newer homes. The local certifications appear to have larger effects on sales prices, and that effect holds for both newer and older homes. The estimated home price premiums from certification imply annual energy cost savings that are sizeable fractions of estimated annual energy costs for homes in our sample, in some cases even above 100 percent. This suggests that the certifications either embody other attributes beyond energy efficiency that are of value to homebuyers or that buyers are overpaying for the energy savings. Further research is needed to better understand how consumers interpret home certifications and how they value the combination of “green” characteristics that many of those certifications embody.
{"title":"Is Energy Efficiency Capitalized into Home Prices? Evidence from Three US Cities","authors":"M. Walls, K. Palmer, Todd D. Gerarden, Xian F. Bak","doi":"10.2139/ssrn.2296032","DOIUrl":"https://doi.org/10.2139/ssrn.2296032","url":null,"abstract":"We look for evidence of capitalization of energy efficiency features in home prices using data from real estate multiple listing services (MLS) in three metropolitan areas: the Research Triangle region of North Carolina; Austin, Texas; and Portland, Oregon. These home listings include information on Energy Star certification and, in Portland and Austin, local green certifications. Our results suggest that Energy Star certification increases the sales prices of homes built between 1995 and 2006 but has no statistically significant effect on sales prices for newer homes. The local certifications appear to have larger effects on sales prices, and that effect holds for both newer and older homes. The estimated home price premiums from certification imply annual energy cost savings that are sizeable fractions of estimated annual energy costs for homes in our sample, in some cases even above 100 percent. This suggests that the certifications either embody other attributes beyond energy efficiency that are of value to homebuyers or that buyers are overpaying for the energy savings. Further research is needed to better understand how consumers interpret home certifications and how they value the combination of “green” characteristics that many of those certifications embody.","PeriodicalId":234456,"journal":{"name":"Politics & Energy eJournal","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114375811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study proposed a modelling framework which addresses various issues such as decreasing marginal yield of corn with respect to fertilizer use in biofuel production and the resulting greenhouse gas emissions. Particularly, the framework considered exogenous changes including oil price development and biofuel policy through market interactions of different inputs and outputs in biofuel production. We applied the modelling framework numerically in an example of corn ethanol production in the United States to illustrate how the economics of fertilizer use could impact the GHG emissions based on both average and marginal emissions. The results show that higher oil prices increase the prices of gasoline, natural gas, ethanol, and corn, which stimulates corn-based ethanol production and increases corn yields by encouraging profit-maximizing farmers to increase their application rate of nitrogen fertilizers slightly. The effect is that, on average, GHG emissions per unit of produced corn ethanol remain almost constant if oil price increases from 60 to 120 $/barrel. However, the marginal emissions per additional unit of ethanol production increase by 2.2% or10%, depending on whether the Volumetric Ethanol Excise Tax Credit is implemented or not. More important is that the marginal emissions of corn ethanol are much higher than those of conventional gasoline. Although on average there are GHG emission savings of corn ethanol compared to conventional gasoline, the savings are negative when based on the marginal emissions of corn ethanol. An interesting implication is that the effectiveness of biofuel policies aimed at reducing GHG emissions might be questionable.
{"title":"How to Measure Greenhouse Gas Emissions by Fuel Type for Binary Sustainability Standards: Average or Marginal Emissions? An Example of Fertilizer Use and Corn Ethanol","authors":"Xueqin Zhu, Shiyu Yan, E. Smeets, S. van Berkum","doi":"10.2139/ssrn.2934331","DOIUrl":"https://doi.org/10.2139/ssrn.2934331","url":null,"abstract":"This study proposed a modelling framework which addresses various issues such as decreasing marginal yield of corn with respect to fertilizer use in biofuel production and the resulting greenhouse gas emissions. Particularly, the framework considered exogenous changes including oil price development and biofuel policy through market interactions of different inputs and outputs in biofuel production. We applied the modelling framework numerically in an example of corn ethanol production in the United States to illustrate how the economics of fertilizer use could impact the GHG emissions based on both average and marginal emissions. The results show that higher oil prices increase the prices of gasoline, natural gas, ethanol, and corn, which stimulates corn-based ethanol production and increases corn yields by encouraging profit-maximizing farmers to increase their application rate of nitrogen fertilizers slightly. The effect is that, on average, GHG emissions per unit of produced corn ethanol remain almost constant if oil price increases from 60 to 120 $/barrel. However, the marginal emissions per additional unit of ethanol production increase by 2.2% or10%, depending on whether the Volumetric Ethanol Excise Tax Credit is implemented or not. More important is that the marginal emissions of corn ethanol are much higher than those of conventional gasoline. Although on average there are GHG emission savings of corn ethanol compared to conventional gasoline, the savings are negative when based on the marginal emissions of corn ethanol. An interesting implication is that the effectiveness of biofuel policies aimed at reducing GHG emissions might be questionable.","PeriodicalId":234456,"journal":{"name":"Politics & Energy eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130674198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Pietzcker, F. Ueckerdt, Samuel Carrara, H. D. de Boer, J. Després, S. Fujimori, N. Johnson, A. Kitous, Y. Scholz, P. Sullivan, Gunnar Luderer
Mitigation-Process Integrated Assessment Models (MP-IAMs) are used to analyze long-term transformation pathways of the energy system required to achieve stringent climate change mitigation targets. Due to their substantial temporal and spatial aggregation, IAMs cannot explicitly represent all detailed challenges of integrating the variable renewable energies (VRE) wind and solar in power systems, but rather rely on parameterized modeling approaches. In the ADVANCE project, six international modeling teams have developed new approaches to improve the representation of power sector dynamics and VRE integration in IAMs. In this study, we qualitatively and quantitatively evaluate the last years' modeling progress and study the impact of VRE integration modeling on VRE deployment in IAM scenarios. For a comprehensive and transparent qualitative evaluation, we first develop a framework of 18 features of power sector dynamics and VRE integration. We then apply this framework to the newly-developed modeling approaches to derive a detailed map of strengths and limitations of the different approaches. For the quantitative evaluation, we compare the IAMs to the detailed hourly-resolution power sector model REMIX. We find that the new modeling approaches manage to represent a large number of features of the power sector, and the numerical results are in reasonable agreement with those derived from the detailed power sector model. Updating the power sector representation and the cost and resources of wind and solar substantially increased wind and solar shares across models: Under a carbon price of 30$/tCO2 in 2020 (increasing by 5% per year), the model-average cost-minimizing VRE share over the period 2050–2100 is 62% of electricity generation, 24%-points higher than with the old model version.
{"title":"System Integration of Wind and Solar Power in Integrated Assessment Models: A Cross-Model Evaluation of New Approaches","authors":"R. Pietzcker, F. Ueckerdt, Samuel Carrara, H. D. de Boer, J. Després, S. Fujimori, N. Johnson, A. Kitous, Y. Scholz, P. Sullivan, Gunnar Luderer","doi":"10.2139/ssrn.2922409","DOIUrl":"https://doi.org/10.2139/ssrn.2922409","url":null,"abstract":"Mitigation-Process Integrated Assessment Models (MP-IAMs) are used to analyze long-term transformation pathways of the energy system required to achieve stringent climate change mitigation targets. Due to their substantial temporal and spatial aggregation, IAMs cannot explicitly represent all detailed challenges of integrating the variable renewable energies (VRE) wind and solar in power systems, but rather rely on parameterized modeling approaches. In the ADVANCE project, six international modeling teams have developed new approaches to improve the representation of power sector dynamics and VRE integration in IAMs. In this study, we qualitatively and quantitatively evaluate the last years' modeling progress and study the impact of VRE integration modeling on VRE deployment in IAM scenarios. For a comprehensive and transparent qualitative evaluation, we first develop a framework of 18 features of power sector dynamics and VRE integration. We then apply this framework to the newly-developed modeling approaches to derive a detailed map of strengths and limitations of the different approaches. For the quantitative evaluation, we compare the IAMs to the detailed hourly-resolution power sector model REMIX. We find that the new modeling approaches manage to represent a large number of features of the power sector, and the numerical results are in reasonable agreement with those derived from the detailed power sector model. Updating the power sector representation and the cost and resources of wind and solar substantially increased wind and solar shares across models: Under a carbon price of 30$/tCO2 in 2020 (increasing by 5% per year), the model-average cost-minimizing VRE share over the period 2050–2100 is 62% of electricity generation, 24%-points higher than with the old model version.","PeriodicalId":234456,"journal":{"name":"Politics & Energy eJournal","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121591418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper explains the process optimization whereby the Rubiales field, located in the departament of Meta in Colombia.
本文介绍了哥伦比亚Meta省Rubiales油田的工艺优化。
{"title":"How to Substantially Reduce the Costs of the Heavy Oil Dehydration Treatment","authors":"J. Juyo, R. Striedinger, L. Klemas","doi":"10.2139/SSRN.2921857","DOIUrl":"https://doi.org/10.2139/SSRN.2921857","url":null,"abstract":"This paper explains the process optimization whereby the Rubiales field, located in the departament of Meta in Colombia.","PeriodicalId":234456,"journal":{"name":"Politics & Energy eJournal","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132073452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-02-09DOI: 10.1146/ANNUREV-RESOURCE-100516-053516
D. Lemoine, I. Rudik
Uncertainty is critical to questions about climate change policy. Recently developed recursive integrated assessment models have become the primary tool for studying and quantifying the policy implications of uncertainty. The first wave of recursive models has made valuable, pioneering efforts at analyzing disparate sources of uncertainty. We decompose the channels through which uncertainty affects policy and quantify them in a recursive extension of a benchmark integrated assessment model. We argue that frontier numerical methods will enable the next generation of recursive models to better capture the information structure of climate change and to thereby ask new types of questions about climate change policy
{"title":"Managing Climate Change Under Uncertainty: Recursive Integrated Assessment at an Inflection Point","authors":"D. Lemoine, I. Rudik","doi":"10.1146/ANNUREV-RESOURCE-100516-053516","DOIUrl":"https://doi.org/10.1146/ANNUREV-RESOURCE-100516-053516","url":null,"abstract":"Uncertainty is critical to questions about climate change policy. Recently developed recursive integrated assessment models have become the primary tool for studying and quantifying the policy implications of uncertainty. The first wave of recursive models has made valuable, pioneering efforts at analyzing disparate sources of uncertainty. We decompose the channels through which uncertainty affects policy and quantify them in a recursive extension of a benchmark integrated assessment model. We argue that frontier numerical methods will enable the next generation of recursive models to better capture the information structure of climate change and to thereby ask new types of questions about climate change policy","PeriodicalId":234456,"journal":{"name":"Politics & Energy eJournal","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129776642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Countries dependent on oil and mineral exports are often advised to diversify their economies, yet surprisingly little is known about how this can be done. This paper reviews the recent literature on diversification in resource-dependent states and suggests it has been constrained by missing and inconsistent data, and a reliance on diversification measures that are relatively uninformative for resource-rich states. It then uses an improved measure of export concentration from Papageorgiou and Spatafora to document three empirical patterns over the last half-century: the divergence between oil-producing states and non-oil states; the reconcentration of exports in most oil and mineral producing states since 1998, caused by the boom in commodity prices; and the heterogeneity of the oil producers, marked by greater diversification in Latin America and Southeast Asia, mixed performances in the Middle East, and greater concentration in Africa and the former Soviet Union. While change in the former Soviet Union was spurred by large new discoveries, the diversification failure of all oil-producing states in both North and sub-Saharan Africa is striking, and stands in contrast to the region’s non-oil producers. The paper concludes with a research agenda for deepening our understanding of this issue.
{"title":"What Do We Know About Economic Diversification in Oil-Producing Countries?","authors":"M. L. Ross","doi":"10.2139/ssrn.3048585","DOIUrl":"https://doi.org/10.2139/ssrn.3048585","url":null,"abstract":"Countries dependent on oil and mineral exports are often advised to diversify their economies, yet surprisingly little is known about how this can be done. This paper reviews the recent literature on diversification in resource-dependent states and suggests it has been constrained by missing and inconsistent data, and a reliance on diversification measures that are relatively uninformative for resource-rich states. It then uses an improved measure of export concentration from Papageorgiou and Spatafora to document three empirical patterns over the last half-century: the divergence between oil-producing states and non-oil states; the reconcentration of exports in most oil and mineral producing states since 1998, caused by the boom in commodity prices; and the heterogeneity of the oil producers, marked by greater diversification in Latin America and Southeast Asia, mixed performances in the Middle East, and greater concentration in Africa and the former Soviet Union. While change in the former Soviet Union was spurred by large new discoveries, the diversification failure of all oil-producing states in both North and sub-Saharan Africa is striking, and stands in contrast to the region’s non-oil producers. The paper concludes with a research agenda for deepening our understanding of this issue.","PeriodicalId":234456,"journal":{"name":"Politics & Energy eJournal","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124353639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In many countries, the transition process towards a low-carbon economy has been associated with increasing electricity prices. Microeconometric evaluations of the causal impact of electricity price changes on plant-level outcomes are rare, though. By exploiting local randomization induced by thresholds in exemption rules, we estimate the local average treatment effects of electricity levy exemptions using a fuzzy regression discontinuity (RD) design. The results indicate that exempted German manufacturing plants increase electricity use substantially and substitute it for fossil fuels, while we do not find evidence for short-run effects on gross output, exports and employment.
{"title":"Do Electricity Prices Matter? Plant-Level Evidence from German Manufacturing","authors":"Andreas Gerster","doi":"10.2139/ssrn.2603211","DOIUrl":"https://doi.org/10.2139/ssrn.2603211","url":null,"abstract":"In many countries, the transition process towards a low-carbon economy has been associated with increasing electricity prices. Microeconometric evaluations of the causal impact of electricity price changes on plant-level outcomes are rare, though. By exploiting local randomization induced by thresholds in exemption rules, we estimate the local average treatment effects of electricity levy exemptions using a fuzzy regression discontinuity (RD) design. The results indicate that exempted German manufacturing plants increase electricity use substantially and substitute it for fossil fuels, while we do not find evidence for short-run effects on gross output, exports and employment.","PeriodicalId":234456,"journal":{"name":"Politics & Energy eJournal","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122660238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper uses the historical experience of US states to consider why energy intensity has declined in some places more than in others, and whether that difference can help guide other states and countries in pursuing less energy-intensive (and therefore less pollution-intensive) economic growth. The variation in energy intensity across US states has been similar to the changes across countries, and some states Ð notably California Ð have been held up as models for the rest of the world by international organizations, such as the World Bank. I show that aggregate US energy intensity fell by 40 percent between 1982 and 2007, and that the decline is not explained by the decreasing industrial share of the US economy or the changing composition of the industrial sector. Across US states, prices and policies are correlated with the decreasing share and composition of manufacturing but not with the technology, or Otechnique,O of production, which appears to be the most important source of US energy intensity gains. Importantly, energy intensity has been declining the most in states where economic growth has been the strongest.
{"title":"Energy Intensity: Prices, Policy, or Composition in US States","authors":"Arik Levinson","doi":"10.2139/SSRN.2980927","DOIUrl":"https://doi.org/10.2139/SSRN.2980927","url":null,"abstract":"This paper uses the historical experience of US states to consider why energy intensity has declined in some places more than in others, and whether that difference can help guide other states and countries in pursuing less energy-intensive (and therefore less pollution-intensive) economic growth. The variation in energy intensity across US states has been similar to the changes across countries, and some states Ð notably California Ð have been held up as models for the rest of the world by international organizations, such as the World Bank. I show that aggregate US energy intensity fell by 40 percent between 1982 and 2007, and that the decline is not explained by the decreasing industrial share of the US economy or the changing composition of the industrial sector. Across US states, prices and policies are correlated with the decreasing share and composition of manufacturing but not with the technology, or Otechnique,O of production, which appears to be the most important source of US energy intensity gains. Importantly, energy intensity has been declining the most in states where economic growth has been the strongest.","PeriodicalId":234456,"journal":{"name":"Politics & Energy eJournal","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122911665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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