LEADER 05720nam 2200721 450 001 9910460547103321 005 20200903223051.0 010 $a1-61499-478-1 035 $a(CKB)3710000000337576 035 $a(EBL)1920288 035 $a(SSID)ssj0001454935 035 $a(PQKBManifestationID)11820778 035 $a(PQKBTitleCode)TC0001454935 035 $a(PQKBWorkID)11500381 035 $a(PQKB)11667896 035 $a(MiAaPQ)EBC1920288 035 $a(Au-PeEL)EBL1920288 035 $a(CaPaEBR)ebr11007154 035 $a(CaONFJC)MIL691806 035 $a(OCoLC)903970796 035 $a(EXLCZ)993710000000337576 100 $a20141107h20152015 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aComprehensive approach as 'sine qua non' for critical infrastructure protection /$f[edited by] Denis Caleta, Slavo Radosevic 210 1$aWashington, District of Columbia :$cIOS Press,$d[2015] 210 4$dİ2015 215 $a1 online resource (308 p.) 225 1 $aNATO science for peace and security series - d: information and communication security,$x1874-6268 ;$vvolume 39 300 $aDescription based upon print version of record. 311 $a1-61499-477-3 320 $aIncludes bibliographical references and index. 327 $a""COMPREHENSIVE APPROACH AS a???SINE QUA NONa??? FOR CRITICAL INFRASTRUCTURE PROTECTION""; ""Editorial""; ""Contents""; ""Section 1: Strategic Environment and Critical Infrastructure Protection""; ""Contemporary Aspects in Critical Infrastructure Protection and Combating Terrorism ""; ""Corruption: From Generally Accepted Business Practice to Serious Threat to Critical Infrastructure Protection ""; ""Outsourcing as an Important Source of Risk in the Management of Terrorist Threats ""; ""Towards a Resilient Critical Infrastructure System against the Risk of Terrorism "" 327 $a""The Risk of Terrorist and Violent Extremist Attacks against Schools """"Use of the Enhanced Structural Model for Attack Analysis and Education ""; ""Section 2: Information Security and Counter Terrorism Considerations""; ""Improving Critical Infrastructure Protection and Resilience against Terrorism Cyber Threats ""; ""Protecting Critical Information Infrastructure from Terrorist Attacks in South East Europe: How Real is the Threat? ""; ""Security of Classified Information as Part of the National Critical Infrastructure Protection: Macedonian Experience "" 327 $a""Security Vetting in Relation to the Critical Infrastructure """"Section 3: Terrorist Threats to Critical Infrastructure Operation a??? Environmental Aspects""; ""Environmental Terrorism as a Threat to the Serbian Water Infrastructure Sector-through the Lens of Regional Perspective ""; ""Assuring Food Security in Agricultural Production in the Republic of Bulgaria under the Conditions of General Globalization ""; ""Safety & Security Assessment to Prevent a Terrorism Attack in the Centralized Facility for Radioactive Waste Management in Albania"" 327 $a""Bioterrorism as a Threat to Food Supply Systems """"Potential Vulnerability and Threats of Natural Disasters or Malicious Human Activity to the Water Supply Network: A Case Study of Chernivtsi, Ukraine ""; ""Section 4: Energy Security as a Key Factor of Critical Infrastructure Protection""; ""Tailor-Made Education: Environmental vs. Energy Security and Sustainable Development Paradigm ""; ""The Combined Threat of Terrorism and Organized Crime for and in South East Europe ""; ""Section 5: National Approaches to Critical Infrastructure Protection"" 327 $a""Protection of the Critical Infrastructure from Terrorism: Case Study of the Republic of Croatia""""Terrorist Threats to Critical Infrastructure in BiH and Protection Measures""; ""Challenges in Defining Critical Infrastructure in Montenegro""; ""Risk Management of Terrorist Attacks in the Tunnels as Critical Points of Corridor 5c Infrastructure - Trans-European Road Network Through Bosnia and Herzegovina""; ""Subject Index""; ""Author Index"" 330 $aThe world in which we live is becoming ever more complex, both from the viewpoint of ensuring security, and also because of our level of dependence on technology, as represented by so-called critical infrastructure. Despite the efforts of national security entities in the national and international context, terrorist attacks will probably never be completely preventable. This makes it necessary to prepare the functioning of our systems for the occurrence of a terrorist attack so that they will operate quickly and effectively even in this type of crisis. This book presents the papers delivered 410 0$aNATO science for peace and security series.$nSub-series D,$pInformation and communication security ;$vv. 39. 606 $aComputer networks$xSecurity measures$vCongresses 606 $aComputer security$vCongresses 606 $aInformation networks$xSecurity measures$vCongresses 606 $aData protection$vCongresses 606 $aCyberterrorism$xPrevention$vCongresses 608 $aElectronic books. 615 0$aComputer networks$xSecurity measures 615 0$aComputer security 615 0$aInformation networks$xSecurity measures 615 0$aData protection 615 0$aCyberterrorism$xPrevention 676 $a340.5/4 702 $aC?aleta$b Denis 702 $aRadovic?$b Vesela 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910460547103321 996 $aComprehensive approach as 'sine qua non' for critical infrastructure protection$92462012 997 $aUNINA LEADER 07187oam 22013214 450 001 9910968418703321 005 20250426110727.0 010 $a9786612840944 010 $a9781462339655 010 $a1462339654 010 $a9781452783390 010 $a145278339X 010 $a9781451870015 010 $a1451870019 010 $a9781282840942 010 $a1282840940 035 $a(CKB)3170000000054998 035 $a(EBL)1607835 035 $a(SSID)ssj0000941188 035 $a(PQKBManifestationID)11545404 035 $a(PQKBTitleCode)TC0000941188 035 $a(PQKBWorkID)10975368 035 $a(PQKB)11211956 035 $a(OCoLC)535147026 035 $a(IMF)WPIEE2008143 035 $a(NBER)w14292 035 $a(MiAaPQ)EBC1607835 035 $a(MiAaPQ)EBC3013079 035 $a(IMF)WPIEA2008143 035 $aWPIEA2008143 035 $a(EXLCZ)993170000000054998 100 $a20020129d2008 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGlobal Business Cycles : $eConvergence or Decoupling? /$fAyhan Kose, Eswar Prasad, Christopher Otrok 205 $a1st ed. 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2008. 215 $a1 online resource (51 p.) 225 1 $aIMF Working Papers 300 $aDescription based upon print version of record. 311 08$a9781451914542 311 08$a1451914547 327 $aContents; I. Introduction; II. Methodology and Data; A. A Dynamic Factor Model; B. Advantages of Dynamic Factor Models; C. Variance Decompositions; D. Data; III. Dynamic Factors and Episodes of Business Cycles; A. Evolution of the Global and Group-Specific Factors; B. Country Factors and Domestic Economic Activity; IV. Sources of Business Cycle Fluctuations: 1960-2005; A. Common Cycles: Global and Country-Specific Factors; B. National Cycles: Country and Idiosyncratic Factors; C. Summary; V. Globalization and the Evolution of International Business Cycles; A. Convergence or Decoupling? 327 $aB. Consumption ComovementC. Dynamics of Investment; D. Summary; VI. Sensitivity Experiments; A. Results for Sub-groups of Countries; B. Changes in the Importance of Global and Group Factors; C. Implications of Crises; D. Alternative Breakpoints; VII. Conclusion; References; Appendices; I. A Bayesian Approach to Estimating Dynamic Factor Models; II. Testing for Structural Breaks; III. List of Countries; Tables; 1. Variance Decompositions-All Groups; 2. Variance Decompositions-Industrial Country Subsamples; 3. Variance Decompositions-All Groups 327 $a4. Variance Decompositions-Industrial Country Subsamples5. Variance Decompositions-Emerging Economy Subsamples; 6. Variance Decompositions-Other Developing Economy Subsamples; Figures; 1. Global and Group-Specific Factors; 2. Output Growth and Estimated Factors for Selected Countries; 3. Average Variance Explained by the Global and Group Factors; 4. Average Variance Explained by Global and Group Factors; 5. Average Variance Explained by Global Factor; 6. Average Variance Explained by Group Specific Factors; 7. Average Variance Explained by Global and Group-Specific Factors-All Countries 327 $a8. Output Variance Explained by Global Factor9. Output Variance Explained by Group Factor 330 3 $aThis paper analyzes the evolution of the degree of global cyclical interdependence over the period 1960-2005. We categorize the 106 countries in our sample into three groups-industrial countries, emerging markets, and other developing economies. Using a dynamic factor model, we then decompose macroeconomic fluctuations in key macroeconomic aggregates-output, consumption, and investment-into different factors. These are: (i) a global factor, which picks up fluctuations that are common across all variables and countries; (ii) three group-specific factors, which capture fluctuations that are common to all variables and all countries within each group of countries; (iii) country factors, which are common across all aggregates in a given country; and (iv) idiosyncratic factors specific to each time series. Our main result is that, during the period of globalization (1985-2005), there has been some convergence of business cycle fluctuations among the group of industrial economies and among the group of emerging market economies. Surprisingly, there has been a concomitant decline in the relative importance of the global factor. In other words, there is evidence of business cycle convergence within each of these two groups of countries but divergence (or decoupling) between them. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2008/143 606 $aBusiness cycles$xEconometric models 606 $aGlobalization 606 $aBusiness cycles$2imf 606 $aClassification Methods$2imf 606 $aCluster Analysis$2imf 606 $aConsumption$2imf 606 $aEconometric models$2imf 606 $aEconometrics & economic statistics$2imf 606 $aEconometrics$2imf 606 $aEconomic growth$2imf 606 $aEconomics$2imf 606 $aEmerging and frontier financial markets$2imf 606 $aFactor Models$2imf 606 $aFactor models$2imf 606 $aFinance$2imf 606 $aFinance: General$2imf 606 $aFinancial services industry$2imf 606 $aGeneral Financial Markets: General (includes Measurement and Data)$2imf 606 $aGlobalization$2imf 606 $aGlobalization: General$2imf 606 $aMacroeconomics$2imf 606 $aMacroeconomics: Consumption$2imf 606 $aPrices, Business Fluctuations, and Cycles: General (includes Measurement and Data)$2imf 606 $aPrincipal Components$2imf 606 $aSaving$2imf 606 $aWealth$2imf 607 $aUnited States$2imf 615 0$aBusiness cycles$xEconometric models. 615 0$aGlobalization. 615 7$aBusiness cycles 615 7$aClassification Methods 615 7$aCluster Analysis 615 7$aConsumption 615 7$aEconometric models 615 7$aEconometrics & economic statistics 615 7$aEconometrics 615 7$aEconomic growth 615 7$aEconomics 615 7$aEmerging and frontier financial markets 615 7$aFactor Models 615 7$aFactor models 615 7$aFinance 615 7$aFinance: General 615 7$aFinancial services industry 615 7$aGeneral Financial Markets: General (includes Measurement and Data) 615 7$aGlobalization 615 7$aGlobalization: General 615 7$aMacroeconomics 615 7$aMacroeconomics: Consumption 615 7$aPrices, Business Fluctuations, and Cycles: General (includes Measurement and Data) 615 7$aPrincipal Components 615 7$aSaving 615 7$aWealth 676 $a339.015195 700 $aKose$b Ayhan$01815765 701 $aOtrok$b Christopher$01816501 701 $aPrasad$b Eswar$0124415 801 0$bDcWaIMF 906 $aBOOK 912 $a9910968418703321 996 $aGlobal Business Cycles$94372619 997 $aUNINA