000 04868cam a22004455i 4500
003 EG-NbEJU
005 20240813212038.0
006 m |o d |
007 cr |||||||||||
008 240421s2015 ne ||||gr |||| 0|eng
010 _a2019765911
020 _a9789401799539
024 7 _a10.1007/978-94-017-9953-9
_2doi
035 _a(DE-He213)978-94-017-9953-9
040 _aDLC
_cEG-NbEJU
_dEG-NbEJU
041 _aeng
050 0 0 _aTJ163.245
_bK43 2015
100 1 _aKhayyat , Nabaz T ,
_eauthor
245 1 0 _aEnergy Demand in Industry :
_bWhat Factors Are Important? /
_cby : Nabaz T Khayyat
260 _aDordrecht :
_bSpringer science+Business Media ,
_c2015
300 _aXIX, 196 pages :
_billustrations ;
_c24 cm.
490 1 _aGreen Energy and Technology
_x1865-3529
505 0 _a1 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.
520 _aThe 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 structure of the demand for energy under stochastic production risk for the South Korean industrial sector. Public research programs aimed at the industrial sector should be concerned about both mean and risk properties in research on new technologies and in the investigation of possible alternative energy inputs. This book describes the state of the art in energy usage analysis and production risk, applying factor requirement methodology. It will be of use as a main or supplementary text in the teaching of advanced graduate courses but also as a reference for those working on empirically advanced research. The book is an important addition to the existing literature on industrial development, with its focus on energy as a core production input.
588 _aDescription based on publisher-supplied MARC data.
650 0 _aEnergy and state
_2LCSH
650 0 _aEnergy policy
_2LCSH
650 0 _aEnergy systems
_2LCSH
650 1 4 _aEnergy Systems.
_0https://scigraph.springernature.com/ontologies/product-market-codes/115000
650 2 4 _aEnergy Policy, Economics and Management.
_0https://scigraph.springernature.com/ontologies/product-market-codes/112000
650 2 4 _aEnergy Policy, Economics and Management.
_0https://scigraph.springernature.com/ontologies/product-market-codes/112000
776 0 8 _iPrint version:
_tEnergy demand in industry.
_z9789401799522
_w(DLC) 2015944476
776 0 8 _iPrinted edition:
_z9789401799522
776 0 8 _iPrinted edition:
_z9789401799546
776 0 8 _iPrinted edition:
_z9789402404333
830 0 _aGreen Energy and Technology,
_x1865-3529
901 _asara sorur
902 _aENG_03_(1093)
942 _2lcc
_cBK
999 _c3344
_d3344