EnergyRN: Energy Economics (Topic)最新文献

{"title":"An Update on the Debate over Commodity Futures Position Limits","authors":"H. Till","doi":"10.2139/SSRN.2641327","DOIUrl":"https://doi.org/10.2139/SSRN.2641327","url":null,"abstract":"On September 28th, 2012 a federal judge struck down the U.S. Commodity Futures Trading Commission’s (CFTC’s) current iteration of federal position limits on holdings of commodity futures contracts. A month and a half later, the CFTC announced that the commission would appeal the court’s decision. The federal court’s 50-page decision, which vacated the CFTC’s position-limit rule, was not political. When one has the rule-of-law, decisions are based on logic, and this ruling is very logical. The article discusses this ruling as well as the challenges that the CFTC might have in challenging it.","PeriodicalId":400187,"journal":{"name":"EnergyRN: Energy Economics (Topic)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128387682","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}

{"title":"An Approach for Assessing Clustering of Households by Electricity Usage","authors":"Ian Dent, T. Craig, U. Aickelin, T. Rodden","doi":"10.2139/ssrn.2828465","DOIUrl":"https://doi.org/10.2139/ssrn.2828465","url":null,"abstract":"How a household varies their regular usage of electricity is useful information for organisations to allow accurate targeting of behaviour modification initiatives with the aim of improving the overall efficiency of the electricity network. The variability of regular activities in a household is one possible indication of that household’s willingness to accept incentives to change their behavior. An approach is presented for identifying a way of representing the variability of a household’s behaviour and developing an efficient way of clustering the households, using these measures of variability, into a few, usable groupings.To evaluate the effectiveness of the variability measures, a number of cluster validity indexes are explored with regard to how the indexes vary with the number of clusters, the number of attributes, and the quality of the attributes. The Cluster Dispersion Indicator (CDI) and the Davies-Boulden Indicator (DBI) are selected for future work developing various indicators of household behaviour variability. The approach is tested using data from 180 UK households monitored for over a year at a sampling interval of 5 minutes. Data is taken from the evening peak electricity usage period of 4pm to 8pm.","PeriodicalId":400187,"journal":{"name":"EnergyRN: Energy Economics (Topic)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131767935","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}

{"title":"A Shapley Value Approach to Pricing Climate Risks","authors":"R. Cooke","doi":"10.2139/ssrn.1972777","DOIUrl":"https://doi.org/10.2139/ssrn.1972777","url":null,"abstract":"This paper prices the risk of climate change by calculating a lower bound for the price of a virtual insurance policy against climate risks associated with the business as usual (BAU) emissions path. In analogy with ordinary insurance pricing, this price depends on the current risk to which society is exposed on the BAU emissions path and on a second emissions path reflecting risks that society is willing to take. The difference in expected damages on these two paths is the price which a risk neutral insurer would charge for the risk swap excluding transaction costs and profits, and it is also a lower bound on society's willingness to pay for this swap. The price is computed by (1) identifying a probabilistic risk constraint that society accepts, (2) computing an optimal emissions path satisfying that constraint using an abatement cost function, (3) computing the extra expected damages from the business as usual path, above those of the risk constrained path, and (4) apportioning those excess damages over the emissions per ton in the various time periods. The calculations follow the 2010 US government social cost of carbon analysis, and are done with DICE2009.","PeriodicalId":400187,"journal":{"name":"EnergyRN: Energy Economics (Topic)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116465782","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}

{"title":"에너지 시장 자유화 시나리오와 전력산업정책에 대한 시사점 (Energy Market Liberalization Scenario and Implications for Electricity Industry Policy)","authors":"Chankook Park, Gweon-Cheol Lee","doi":"10.2139/SSRN.3078362","DOIUrl":"https://doi.org/10.2139/SSRN.3078362","url":null,"abstract":"<b>Korean Abstract:</b> 에너지를 둘러싼 글로벌 시장환경의 특징은 수급 불균형으로 인한 고유가 현상, 지구온난화 위기 고조, 지속적인 에너지 산업구조개편 진행 등으로 설명할 수 있다. 이러한 에너지 환경변화는 국내 에너지 정책기조를 변화시킴과 동시에 유연한 정책대응을 요구하고 있다. 본 연구는 시나리오 기법을 활용하여 미래 에너지 자유화 시장을 예측하고 시나리오 상황이 전력산업에 미치는 시사점을 도출하였다. 에너지시장 자유화의 미래에 결정적으로 영향을 미치는 주요변수로는 ‘에너지서비스 분류방식’, ‘규제기관의 성격’, ‘정책대상자의 순응 확보여부’가 선정되었으며, 예상되는 시나리오 상황을 구성하기 위해 각 변수를 조합하여 영향력 있는 4개의 시나리오를 도출하였다. 그리고 그 시나리오를 통해 정책적 시사점을 도출하고 에너지시장 개방화의 흐름 속에서 전력산업 구조개편의 진행속도 및 성패와 관련된 환경변화 리스크를 최소화시키는 제도적 보완책을 검토하였다. <b>English Abstract:</b> The global energy market can be currently characterized by unstable oil and gas prices, a perceived global warming crisis, liberalization of the energy market, and so on. These changes require modifications in the industry policy framework and flexible adjustments. This study creates scenarios to predict the future energy market and identifies various influences on the electricity industry based on these scenarios. “Energy Service Classifications,”“Regulatory Body Types,” “Securing the Policy Compliance of Target groups” were selected as the major variables that decisively influence the future of energy market liberalization. Four significant scenarios were subsequently created by combining each variant. The implications derived through the scenarios should help policy-makers minimize risks related to implementation of restructuring plans in the electricity industry.","PeriodicalId":400187,"journal":{"name":"EnergyRN: Energy Economics (Topic)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124131993","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}

{"title":"Descriptive Analysis of Employment In Azerbaijan: Possibilities of the Dutch Disease","authors":"I. Niftiyev","doi":"10.2139/ssrn.3823034","DOIUrl":"https://doi.org/10.2139/ssrn.3823034","url":null,"abstract":"This paper conducts a descriptive statistical analysis of employment in Azerbaijan covering the period between 2000 and 2018 to study the effects of the Dutch disease hypothesis. Azerbaijan has been a research subject of the Dutch disease due to the boom in the oil sector since independence from the Soviet Union. This paper bases its analysis on the descriptive statistics of employed persons per sector, its year on year growth dynamics, and cumulative growth rates. The results indicate that there are developments in employment that are in line with the spending effect of the Dutch disease model, as during the given time period, the mining sector did not experience sky-high employment, and manufacturing and agriculture shrank, though services increased their role. Moreover, constructed scatterplot matrix and conducted Pearson-s R correlation analysis shed light on the sectoral relationships among the critical economic variables like real effective exchange rate, oil prices, oil GDP, non-oil GDP, oil exports, and transfers from the sovereign wealth fund (SOFAZ), etc. However, the conclusions should be drawn with a significant extension of caution, as the descriptive investigation is extremely limited in terms of the identification of causal relationships.","PeriodicalId":400187,"journal":{"name":"EnergyRN: Energy Economics (Topic)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115752050","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}

{"title":"Are Oil Price Declines Good for the Economy?","authors":"Kevin L. Kliesen","doi":"10.20955/ES.2015.3","DOIUrl":"https://doi.org/10.20955/ES.2015.3","url":null,"abstract":"S ince mid-June, the spot price of the U.S. benchmark for crude oil, West Texas Intermediate (WTI), has fallen from a bit less than $108 per barrel to a bit less than $50 per barrel—a decline of more than 50 percent. Much of the economic research on the effects of crude oil prices on the macroeconomy has focused on the effects of rising oil prices: Sharp increases generally have a negative effect. In fact, oil price increases have preceded 10 of the past 11 U.S. recessions.1 But do falling oil prices, overall, have positive effects on the macroeconomy? Here the research is less conclusive: Some researchers argue they don’t and some argue they do.2 In general, though, as with rising oil prices, the effects depend on the source of the shock affecting the supply or demand. Falling oil prices have numerous effects—some positive and some negative. On the positive side, lower oil prices tend to lower overall inflation and, to some extent, mea sures of inflation expectations. All else equal, lower inflation and inflation expectations tend to lower nominal interest rates and may spur increased demand for interestsensitive durable goods such as automobiles and housing. Lower oil prices also help to reduce operating expenses of the transportation sector and other industries that are relatively large users of gasoline, diesel, and jet fuel. There is also evidence that lower oil price volatility is associated with increased capital expenditures by businesses. On the negative side, lower oil prices reduce the extraction and drilling incentive for producers, which has become more important in recent years since the United States has become a large crude oil producer. Reduced drilling activity has an immediate effect on industrial production and, ultimately, on nonresidential fixed investment.3 Although drilling activity remained high for a few months after oil prices peaked and began to decline, the number of rotary rigs drilling for crude oil in the United States has declined by about 23.3 percent since mid-October 2014.4 The table provides a gauge of the economic effects of falling crude oil prices, showing the average peak-to-trough change in oil prices and various measures of economic activity for five non-recession episodes since 1983. The five episodes and their respective peak-to-trough decline in oil prices (in parentheses) are November 1985–July 1986 Are Oil Price Declines Good for the Economy?","PeriodicalId":400187,"journal":{"name":"EnergyRN: Energy Economics (Topic)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117112507","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}

{"title":"Capital Incentive Policies in the Age of Cloud Computing: An Empirical Case Study","authors":"Raphaela Andres, Timothy DeStefano, T. Niebel, Steffen Viete","doi":"10.2139/ssrn.3693660","DOIUrl":"https://doi.org/10.2139/ssrn.3693660","url":null,"abstract":"The following paper assesses whether current policy environments are appropriate for the emergence of cloud computing technology. In particular, this research uses firm-level data for Germany and the UK to examine the impact of capital incentive programmes (a common policy present in most OECD countries) on cloud adoption. The design for many of these policies target investments in physical capital while excluding digital services like the cloud. Firms view digital investments and digital services as substitutes, therefore narrowly defined incentive programmes may actually discourage the use of emerging tools like cloud computing, which are found to enable the growth and performance of young entrants. Overall, the results find that while capital incentive policies encourage firm investments in ICT and other forms of capital, they actually reduce the probability of cloud adoption. Policy makers may therefore need to reconsider the design of capital incentive programmes within their jurisdictions.","PeriodicalId":400187,"journal":{"name":"EnergyRN: Energy Economics (Topic)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121089515","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}