LEADER 03925nam 2200709 450 001 9910456238703321 005 20200520144314.0 010 $a9786612023361 010 $a1-282-02336-5 010 $a1-4426-7868-2 024 7 $a10.3138/9781442678682 035 $a(CKB)2430000000001105 035 $a(OCoLC)666913180 035 $a(CaPaEBR)ebrary10218902 035 $a(SSID)ssj0000306609 035 $a(PQKBManifestationID)11205507 035 $a(PQKBTitleCode)TC0000306609 035 $a(PQKBWorkID)10298519 035 $a(PQKB)10304891 035 $a(CaBNvSL)thg00600386 035 $a(MiAaPQ)EBC3254997 035 $a(MiAaPQ)EBC4671848 035 $a(DE-B1597)464767 035 $a(OCoLC)1013937224 035 $a(OCoLC)944177708 035 $a(DE-B1597)9781442678682 035 $a(Au-PeEL)EBL4671848 035 $a(CaPaEBR)ebr11257538 035 $a(OCoLC)958513927 035 $a(EXLCZ)992430000000001105 100 $a20160923h20032003 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPower switch $eenergy regulatory governance in the twenty-first century /$fG. Bruce Doern, Monica Gattinger 210 1$aToronto, [Ontario] ;$aBuffalo, [New York] ;$aLondon, [England] :$cUniversity of Toronto Press,$d2003. 210 4$dİ2003 215 $a1 online resource (257 p.) 225 0 $aHeritage 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-8020-8536-9 311 $a0-8020-3753-4 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tContents -- $tPreface -- $tAbbreviations -- $tIntroduction -- $tPART I. HISTORY, FRAMEWORK, AND GLOBAL CONTEXT -- $t1 Canadian Energy Policy and Regulation in Historical Context -- $t2 Analysing the Power Switch: Factors and Framework -- $t3 U.S. Influences: FERC and Alternative Energy Regulatory Models -- $tPART 2. ENERGY REGULATORY INSTITUTIONS AND INTER-REGIME CHANGE -- $t4 The National Energy Board -- $t5 The Ontario Energy Board -- $t6 The Alberta Energy and Utilities Board -- $t7 Energy and Competition Regulation: Towards Workable Competition -- $t8 Energy and Environmental Regulation: Regulatory 'Stacking' in the Climate Change Era -- $tConclusions -- $tReferences -- $tIndex 330 $aIn the energy sector of Canadian economic and political life, power has a double meaning. It is quintessentially about the generation of power and physical energy. However, it is also about political power, the energy of the economy, and thus the overall governance of Canada. Power Switch offers a critical examination of the changing nature of energy regulatory governance, with a particular focus on Canada in the larger contexts of the George W. Bush administration's aggressive energy policies and within North American energy markets.Focusing on the key institutions and complex regimes of regulation, Bruce Doern and Monica Gattinger look at specific regulatory bodies such as the National Energy Board, the Alberta Energy and Utilities Board, and the Ontario Energy Board. They also examine the complex systems of rule making that develop as traditional energy regulation interacts and often collides with environmental and climate change regulation, such as the Kyoto Protocol on reducing greenhouse gas emissions. Power Switch is one of the first accounts in many years of Canada's overall energy regulatory system. 606 $aEnergy policy$zCanada 606 $aEnergy policy$zUnited States 608 $aElectronic books. 615 0$aEnergy policy 615 0$aEnergy policy 676 $a333.79/0971 700 $aDoern$b G. Bruce$0901610 702 $aGattinger$b Monica 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456238703321 996 $aPower switch$92459561 997 $aUNINA LEADER 03928nam 2200625 450 001 996465759303316 005 20210313113335.0 010 $a3-540-74549-1 024 7 $a10.1007/978-3-540-74549-5 035 $a(CKB)1000000000490222 035 $a(SSID)ssj0000315777 035 $a(PQKBManifestationID)11923441 035 $a(PQKBTitleCode)TC0000315777 035 $a(PQKBWorkID)10255556 035 $a(PQKB)10532160 035 $a(DE-He213)978-3-540-74549-5 035 $a(MiAaPQ)EBC3063412 035 $a(MiAaPQ)EBC6386386 035 $a(PPN)123164613 035 $a(EXLCZ)991000000000490222 100 $a20210313d2007 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aAdvances in biometrics $einternational conference, ICB 2007, Seoul, Korea, August 27-29, 2007 ; proceedings /$fSeong-Whan Lee; Stan Z. Li 205 $a1st ed. 2007. 210 1$aBerlin, Germany ;$aNew York, New York :$cSpringer,$d[2007] 210 4$d?2007 215 $a1 online resource (XL, 1218 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v4642 300 $aInternational conference proceedings. 311 $a3-540-74548-3 320 $aIncludes bibliographical references and index. 327 $aFace Recognition -- Poster I -- Poster II -- Poster III. 330 $aMany applications in government,airport, commercial, defense and law enfor- mentareashaveabasicneedforautomaticauthenticationofhumansbothlocally orremotelyonaroutinebasis.Thedemandforautomaticauthenticationsystems using biometrics, including face, ?ngerprint, gait, and iris, has been increasing in many aspects of life. The purpose of the 2007 International Conference on Biometrics (ICB 2007) was to provide a platform for researchers, engineers, s- tem architects and designers to report recent advances and exchange ideas in the area of biometrics and related technologies. ICB 2007 received a large number of high-quality research papers. In all 303 papers were submitted from 29 countries around the world. Of these 34 papers were accepted for oral presentation and 91 papers were accepted for poster presentation. The program consisted of seven oral sessions, three poster sessions, two tutorial sessions, and four keynote speeches on various topics on biometrics. We would like to thank all the authors who submitted their manuscripts to the conference, and all the members of the Program Committee and reviewers who spent valuable time providing comments on each paper. We would like to thank the conference administrator and secretariat for making the conference successful. We also wish to acknowledge the IEEE, IAPR, Korea Information Science Society, Korea University, Korea University BK21 Software Research Division, KoreaScience and EngineeringFoundation,KoreaUniversity Institute of Computer, Information and Communication, Korea Biometrics Association, Lumidigm Inc., Ministry of Information and Communication Republic of Korea, and Springer for sponsoring and supporting this conference. August 2007 Seong-Whan Lee Stan Z. Li Organization ICB 2007 was organized by Center for Arti?cial Vision Research, Korea University. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v4642 606 $aIdentification$xAutomation$vCongresses 606 $aPattern recognition systems$vCongresses 606 $aBiometric identification$vCongresses 615 0$aIdentification$xAutomation 615 0$aPattern recognition systems 615 0$aBiometric identification 676 $a006.4 702 $aLi$b S. Z.$f1958- 702 $aLee$b S. W. 712 12$aICB (Conference) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465759303316 996 $aAdvances in Biometrics$9771930 997 $aUNISA LEADER 08002oam 22014894 450 001 9910779643103321 005 20230802010339.0 010 $a1-4755-3230-X 010 $a1-4755-9666-9 035 $a(CKB)2550000001041558 035 $a(EBL)1607036 035 $a(SSID)ssj0000960552 035 $a(PQKBManifestationID)11542361 035 $a(PQKBTitleCode)TC0000960552 035 $a(PQKBWorkID)10949790 035 $a(PQKB)11703716 035 $a(MiAaPQ)EBC1607036 035 $a(Au-PeEL)EBL1607036 035 $a(CaPaEBR)ebr10661249 035 $a(OCoLC)815561573 035 $a(IMF)WPIEE2012255 035 $a(IMF)WPIEA2012255 035 $a(EXLCZ)992550000001041558 100 $a20020129d2012 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe Global Impact of the Systemic Economies and MENA Business Cycles /$fPaul Cashin, Kamiar Mohaddes, Mehdi Raissi 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2012. 215 $a1 online resource (41 p.) 225 1 $aIMF Working Papers 300 $aDescription based upon print version of record. 311 $a1-4755-5191-6 311 $a1-4755-8164-5 320 $aIncludes bibliographical references. 327 $aCover; Contents; I. Introduction; II. The Global VAR (GVAR) Methodology; III. A Global VAR Model Including the MENA Region; Tables; 1. Countries and Regions in the GVAR Model Including MENA; A. Variables; Domestic Variables; Foreign Variables; Global Variables; B. MENA Trade Weights; 2. MENA Trade Weights; C. Model Specification; 3. Variables Specification of the Country-Specific VARX* Models; D. Country-Specific Estimates and Tests; Lag Order Selection, Cointegrating Relations, and Persistence Profiles 327 $a4. Lag Orders of the Country-Specific VARX*(s,s*) Models Together with the Number of Cointegrating Relations (r)Testing the Weak Exogeneity Assumption; Figures; 1. Persistence Profiles of the Effect of a System-wide Shock to the Cointegrating Relations; Testing for Structural Breaks; 5. F-Statistics for Testing the Weak Exogeneity of the Country-Specific Foreign Variables, Oil Prices, and Oil Production; 6. Number of Rejections of the Null of Parameter Constancy per Variable Across the Country-specific Models at the 5 Percent Significance Level; IV. Inward Spillovers; A. Shock to U.S. GDP 327 $a2. Four Quarters Cumulated Impulse Responses of Output to a Negative GDP Shock in the United States (Relative to the U.S.)3. Four Quarters Cumulated Impulse Responses of Oil Prices and Supply; B. Shock to Euro Area GDP; 4. Four Quarters Cumulated Impulse Responses of Output to a Negative GDP Shock in the Euro Area (Relative to the Euro Area); 5. Impulse Responses of a Negative Unit Shock to Euro Area Output; C. Shock to Chinese GDP; 6. Four Quarters Cumulated Impulse Responses of Output to a Negative GDP Shock in China (Relative to China); V. Outward Spillovers 327 $a7. Four Quarters Cumulated Impulse Responses of Output to a Positive GDP Shock in the GCC Region (Relative to the GCC)8. Four Quarters Cumulated Impulse Responses of Output to a Positive GDP Shock in the MENA Oil Exporters (Relative to the MENAEX); VI. Concluding Remarks; References; Data Appendix; 7. Trade Weights, Averages over 2006-2008; 8. Trade Weights, Averages over 1986-1988 330 3 $aThis paper analyzes spillovers from macroeconomic shocks in systemic economies (China, the Euro Area, and the United States) to the Middle East and North Africa (MENA) region as well as outward spillovers from a GDP shock in the Gulf Cooperation Council (GCC) countries and MENA oil exporters to the rest of the world. This analysis is based on a Global Vector Autoregression (GVAR) model, estimated for 38 countries/regions over the period 1979Q2 to 2011Q2. Spillovers are transmitted across economies via trade, financial, and commodity price linkages. The results show that the MENA countries are more sensitive to developments in China than to shocks in the Euro Area or the United States, in line with the direction of evolving trade patterns and the emergence of China as a key driver of the global economy. Outward spillovers from the GCC region and MENA oil exporters are likely to be stronger in their immediate geographical proximity, but also have global implications. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2012/255 606 $aBusiness cycles$zChina$xEconometric models 606 $aBusiness cycles$zUnited Stated$xEconometric models 606 $aBusiness cycles$zMiddle East$xEconometric models 606 $aBusiness cycles$zAfrica, North$xEconometric models 606 $aInvestments: Energy$2imf 606 $aEconometrics$2imf 606 $aForeign Exchange$2imf 606 $aMacroeconomics$2imf 606 $aIndustries: Energy$2imf 606 $aTime-Series Models$2imf 606 $aDynamic Quantile Regressions$2imf 606 $aDynamic Treatment Effect Models$2imf 606 $aDiffusion Processes$2imf 606 $aState Space Models$2imf 606 $aGeneral Aggregative Models: Forecasting and Simulation$2imf 606 $aBusiness Fluctuations$2imf 606 $aCycles$2imf 606 $aInternational Business Cycles$2imf 606 $aEconomywide Country Studies: Asia including Middle East$2imf 606 $aEnergy: Demand and Supply$2imf 606 $aPrices$2imf 606 $aEnergy: General$2imf 606 $aMacroeconomics: Production$2imf 606 $aInvestment & securities$2imf 606 $aEconometrics & economic statistics$2imf 606 $aCurrency$2imf 606 $aForeign exchange$2imf 606 $aPetroleum, oil & gas industries$2imf 606 $aOil$2imf 606 $aOil prices$2imf 606 $aVector autoregression$2imf 606 $aReal effective exchange rates$2imf 606 $aOil production$2imf 606 $aCommodities$2imf 606 $aEconometric analysis$2imf 606 $aProduction$2imf 606 $aPetroleum industry and trade$2imf 607 $aBusiness cycles$zEurope$xEconometric models 607 $aUnited States$2imf 615 0$aBusiness cycles$xEconometric models. 615 0$aBusiness cycles$xEconometric models. 615 0$aBusiness cycles$xEconometric models. 615 0$aBusiness cycles$xEconometric models. 615 7$aInvestments: Energy 615 7$aEconometrics 615 7$aForeign Exchange 615 7$aMacroeconomics 615 7$aIndustries: Energy 615 7$aTime-Series Models 615 7$aDynamic Quantile Regressions 615 7$aDynamic Treatment Effect Models 615 7$aDiffusion Processes 615 7$aState Space Models 615 7$aGeneral Aggregative Models: Forecasting and Simulation 615 7$aBusiness Fluctuations 615 7$aCycles 615 7$aInternational Business Cycles 615 7$aEconomywide Country Studies: Asia including Middle East 615 7$aEnergy: Demand and Supply 615 7$aPrices 615 7$aEnergy: General 615 7$aMacroeconomics: Production 615 7$aInvestment & securities 615 7$aEconometrics & economic statistics 615 7$aCurrency 615 7$aForeign exchange 615 7$aPetroleum, oil & gas industries 615 7$aOil 615 7$aOil prices 615 7$aVector autoregression 615 7$aReal effective exchange rates 615 7$aOil production 615 7$aCommodities 615 7$aEconometric analysis 615 7$aProduction 615 7$aPetroleum industry and trade 700 $aCashin$b Paul$01463968 701 $aMohaddes$b Kamiar$01476623 701 $aRaissi$b Mehdi$01476624 801 0$bDcWaIMF 906 $aBOOK 912 $a9910779643103321 996 $aThe Global Impact of the Systemic Economies and MENA Business Cycles$93691362 997 $aUNINA