Titlebook: ICT Investment for Energy Use in the Industrial Sectors; Nabaz T. Khayyat Book 2017 Springer Nature Singapore Pte Ltd. 2017 ICT and energy

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2195-1284 FP). 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 978-981-13-5221-8978-981-10-4756-5Series ISSN 2195-1284 Series E-ISSN 2195-1292

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Productivity Analysis of South Korean Industrial Sector,the demand for energy, materials, labors, ICT capital, and non-ICT capital for 30 South Korean industrial sectors. In particular the focus is on the ICT capital-energy use relationship, and the effect of this relationship on the TFP growth.

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ICT Investment and Energy Use in the Literature,nt has several limitations such as the aggregate energy consumption to GDP ratio might be too simple to explain the economy’s energy use patterns, and hence it could lead to difficulties and misunderstandings in interpreting the energy intensity indicators.

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Overall Summary, Hypotheses Test, and Policy Implications,scussion of the limitations of this study and suggestions for future research. Recommendations for decision makers will be made, along with their support and justification that have emerged based on the findings.

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The Impact of ICT Investment on Energy Use: A Comparative Study Between South Korea and Japan,nvestment in South Korea and Japan affects industrial energy demand. It is found that ICT and non-ICT capital investment serve as substitutes for the inputs of labor and energy use. The results also demonstrate a significant cost differences across industries in both countries.

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The Impact of ICT Investment on Energy Use: A Comparative Study Between South Korea and Japan,strial sectors in Japan and South Korea during 1973–2006 and 1980–2009, respectively. In doing so a dynamic factor demand model is applied to link inter-temporal production decisions by explicitly recognizing that the level of certain factors of production (refer to as quasi-fixed factors: ICT and n

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Productivity Analysis of South Korean Industrial Sector,d energy use, influence the productivity growth. A dynamic factor demand model is applied which allows for considerable flexibility in the choice of the functional form of the production technology, and in the expectation formation process. The objective is to estimate the production structure, and