Focusing on the interplay between production inputs and energy demand, this book analyzes 30 industrial sectors in South Korea and Japan over several decades. It emphasizes the role of ICT investment in shaping energy consumption patterns for both consumers and producers. A dynamic factor demand model is introduced, which incorporates adjustment costs related to lost output from ongoing production, providing a comprehensive understanding of energy demand dynamics in these economies.
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. 00Particular 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. 00The 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
