LEADER 06743nam 22006975 450 001 9910253980603321 005 20230811004826.0 010 $a981-10-4756-1 024 7 $a10.1007/978-981-10-4756-5 035 $a(CKB)3710000001410479 035 $a(DE-He213)978-981-10-4756-5 035 $a(MiAaPQ)EBC4882141 035 $a(PPN)202988929 035 $a(EXLCZ)993710000001410479 100 $a20170620d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aICT Investment for Energy Use in the Industrial Sectors /$fby Nabaz T. Khayyat 205 $a1st ed. 2017. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2017. 215 $a1 online resource (XIII, 164 p. 11 illus.) 225 1 $aLecture Notes in Energy,$x2195-1292 ;$v59 311 $a981-10-4755-3 327 $a1 OVERVIEW -- 1.1 Introduction -- 1.2 Why this Study -- 1.3 Objectives -- 1.4 Significance of the Study -- 1.5 Research Design -- 1.6 Research Questions and Empirical Motivations -- 1.7 Assumptions and Limitations -- 1.8 Operational Definitions -- 1.9 Expected Results -- 1.10 The Structure of the Book -- 1.11 Summary -- Bibliography -- 2 ICT INVESTMENT AND ENERGY USE IN SOUTH KOREA AND JAPAN -- 2.1 Introduction -- 2.2 ICT Investment -- 2.3 Energy Use -- 2.4 Energy Efficiency -- 2.5 Summary -- Bibliography -- 3 ICT INVESTMENT AND ENERGY USE IN THE LITERATURE -- 3.1 Efficiency in the Use of Energy -- 3.2 ICT Investment and Economics Growth -- 3.3 ICT Investment and Energy Use -- 3.4 Summary -- Bibliography -- 4 THE FACTOR DEMAND MODELS AND THE THEORY OF PRODUCTIVITY -- 4.1 Historical Development of the Factor Demand Models -- 4.2 Industrial Demand Models for the Input Factors of Production -- 4.3 Inter-factor Substitutability and Complementarity -- 4.4 The Total Factor Productivity -- 4.5 Summary -- Bibliography -- 5 THE EU KLEMS DATABASE -- 5.1 Data Source -- 5.2 Population and Sampling Strategy -- 5.3 Classification of the Industrial Sectors -- 5.4 Summary Statistics -- 5.5 Multicollinearity and Validation of Results -- 5.6 The Industrial Sectors? Energy use Intensity -- Bibliography -- 6 THE IMPACT OF ICT INVESTMENT ON ENERGY USE: A COMPARATIVE STUDY BETWEEN SOUTH KOREA AND JAPAN -- 6.1 Introduction -- 6.2 Theoretical Model and Empirical Specification -- 6.3 Parameters Estimates -- 6.4 The Adjustment Speed -- 6.5 Deviation from the Optimal Values -- 6.6 The Own and Cross Price Elasticities -- 6.7 Conclusion -- Bibliography -- 7 PRODUCTIVITY ANALYSIS OF SOUTH KOREAN INDUSTRIAL SECTORS -- 7.1 Introduction -- 7.2 Development Stages in the Industrial and Technological Polices -- 7.3 Divisia Index -- 7.4 Theoretical Model and Empirical Specification -- 7.5 Determinants of the TFP Growth -- 7.6 Capacity Utilization Index (CUI) -- 7.7 Price and Output Elasticities -- 7.8 Returns to Scale -- 7.9 Technical Change -- 7.10 The TFP Growth -- 7.11 Output Growth -- 7.12 Conclusion -- Bibliography -- 8 OVERALL SUMMARY, HYPOTHESES TESTS, AND POLICY IMPLICATIONS -- 8.1 Introduction -- 8.2 The Research Questions and the Associated Hypotheses -- 8.3 Summary of Results and Policy Implications -- 8.4 Contribution to the Literature -- 8.5 Implications for Industry and Policy Makers -- 8.6 Conclusions, Practical and Policy Recommendations -- 8.7 Limitations of the Study and Recommendations for Further Research -- Bibliography. 330 $aThis book investigates the impact of production input factors on the market, consumer and producer energy demand characteristics in 30 industrial sectors for South Korea over the period 1980?2009, and for Japan over the period 1973-2006, with special emphasis placed on the effects of ICT investment on the demand for energy. A dynamic factor demand model is developed, accounting for the adjustment costs that are defined in terms of forgone output from current production. It addresses four key aspects of production and energy demand in manufacturing: first, it establishes the various relationships between different factors of production. Second, it investigates whether the energy demand in the industrial sectors in South Korea would be decreased or increased by substituting/complementing with other input factors such as ICT capital and labor. Third, it looks at sources of growth in the industrial sectors through decomposing the Divisia index based total factor productivity (TFP). Finally it provides appropriate policy recommendations based on these findings. The results of this study may provide industrial sectors? stakeholders and environmental and industrial policy makers with a flexible model that has the capacity to assess outcomes of various policies under certain scenarios. The factor demand methodology described in this book is very advanced and up-to-date. It can be used when teaching advanced graduate courses and in empirically advanced research. Therefore, it is highly relevant in both teaching as a main or supplementary text and in particular as a reference handbook in conducting empirical research. The focus on ICT effects on energy use makes this book an important addition to the existing literature on industrial development. . 410 0$aLecture Notes in Energy,$x2195-1292 ;$v59 606 $aEnergy policy 606 $aEnergy and state 606 $aElectric power production 606 $aIndustrial engineering 606 $aProduction engineering 606 $aApplication software 606 $aInformation technology$xManagement 606 $aEnergy Policy, Economics and Management 606 $aElectrical Power Engineering 606 $aMechanical Power Engineering 606 $aIndustrial and Production Engineering 606 $aComputer and Information Systems Applications 606 $aBusiness IT Infrastructure 615 0$aEnergy policy. 615 0$aEnergy and state. 615 0$aElectric power production. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 0$aApplication software. 615 0$aInformation technology$xManagement. 615 14$aEnergy Policy, Economics and Management. 615 24$aElectrical Power Engineering. 615 24$aMechanical Power Engineering. 615 24$aIndustrial and Production Engineering. 615 24$aComputer and Information Systems Applications. 615 24$aBusiness IT Infrastructure. 676 $a658.26 700 $aKhayyat$b Nabaz T$4aut$4http://id.loc.gov/vocabulary/relators/aut$0866289 906 $aBOOK 912 $a9910253980603321 996 $aICT Investment for Energy Use in the Industrial Sectors$91939056 997 $aUNINA