Energy demand in industry what factors are important? / [electronic resource] :

• 作者： Khayyat, Nabaz T.
• 其他作者：
  • SpringerLink (Online service)
• 其他題名：
  • Green Energy and Technology,
• 出版： Dordrecht : Springer Netherlands :Imprint: Springer
• 叢書名： Green Energy and Technology,
• 主題： Industries--Energy consumption--Korea (South) , Energy. , Energy Systems. , Energy Policy, Economics and Management. , Energy Economics.
• ISBN： 9789401799539 (electronic bk.) 、 9789401799522 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 1 Overview -- 2 History Of Economic Development In South Korea -- 3 Survey Of Existing Researches Related To Energy Demand -- 4 Survey Of Existing Researches Related To Production Risk -- 5 Econometrics Of Panel Data Estimation -- 6 Energy Demand Data -- 7 Energy Demand Models Estimation -- 8 Energy Demand Model I -- 9 Energy Demand Model Ii -- 10 Summary And Conclusion.
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• 摘要註: The book presents a stochastic analysis based on production risk and application of this method in the industrial sector under production risk where energy use is an input factor. Using South Korea as a case study, the book empirically models energy demand at the industrial level and analyzes the results to identify key determinants of energy demand, productions level, productions risk and energy usage efficiency. Particular attention is paid to the factors that enhance production risk or increase variations in energy input during production. A dynamic panel model is specified and applied to 25 Korean industrial sectors over the period 1970-2007. The determinants of energy usage are identified and their effects in the form of elasticities of energy usage are estimated. In addition the structural changes in the energy demand pattern are explored. Stochastic production technology is applied to create two primary models: A production model where the energy usage is a determinant of output, and an energy demand model based on an inverted factor demand model where demand is a key determinant of the level of energy usage. The findings reveal that: First, there are large variations in the degree of overuse or inefficiency in energy usage among the individual industries and over time; second, ICT (information and communication technology) capital and labor are substituting energy; third, ICT capital and value added services are two input factors decreasing the variability of energy demand while non-ICT capital, material and labor are increasing the variability of energy demand. Finally, the results suggest that technical progress contributes more to the increase of mean of energy demand than to the reduction of the level of risk. An emerging recommendation is that industries increase the level of ICT capital and digitalization and invest more in R&D activities and value added services to reduce the uncertainty related to their demand for energy. This study forms the str
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