Abstract
This book addresses the impact of different input factors of production, market, consumer, and producers’ characteristics on the industrial sector’s energy demand for South Korea during the period 1970–2007. The book aims at formulating an energy demand structure for the South Korean industrial sector as a tool to enable producers and policy makers to evaluate different alternatives toward reducing energy consumption, and using energy in an efficient way. Industrial policy decision makers need to understand the importance of the energy input in the industrial production structure, in order to assess and formulate necessary measures for energy conservation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abdelaziz, E. A., Saidur, R., & Mekhilef, S. (2011). A review on energy saving strategies in industrial sector. Renewable & Sustainable Energy Reviews, 15(1), 150–168. doi:10.1016/j.rser.2010.09.003.
Allan, G., Hanley, N., McGregor, P., Swales, K., & Turner, K. (2007). The impact of increased efficiency in the industrial use of energy: A computable general equilibrium analysis for the United Kingdom. Energy Economics, 29(4), 779–798. doi:10.1016/j.eneco.2006.12.006.
Allen, R. G. D. (1938). Mathematical analysis for economists. New York, USA: St. Martin’s Press.
Allen, W. B., Weigelt, K., Doherty, N., & Mansfield, E. (2009). Managerial economics: Theory, applications, and cases. New York, USA: Norton.
Apostolakis, B. E. (1990). Energy-capital substitutability/complementarity. Energy Economics, 12(1), 48–58. doi:10.1016/0140-9883(90)90007-3.
Benjamin, D., & Meza, F. (2009). Total factor productivity and labor reallocation: The case of the Korean 1997 crisis. B E Journal of Macroeconomics, 9(1), 1–39. doi:10.2202/1935-1690.1625.
Berndt, E. R., & Wood, D. O. (1975). Technology, prices, and the derived demand for energy. The Review of Economics and Statistics, 57(3), 259–268.
Berndt, E. R., & Wood, D. O. (1979). Engineering and econometric interpretations of energy-capital complementarity. American Economic Review, 69(3), 342–354.
Cho, W. G., Nam, K., & Pagan, J. A. (2004). Economic growth and interfactor/interfuel substitution in Korea. Energy Economics, 26(1), 31–50. doi:10.1016/j.eneco.2003.04.001.
Christensen, L. R., Jorgenson, D. W., & Lau, L. J. (1973). Transcendental logarithmic production frontiers. The Review of Economics and Statistics, 55(1), 28–45. doi:10.2307/1927992.
Coelli, T., & Battese, R. D. G. (1998). An introduction to efficiency and productivity analysis. London, England: Kluwer Academic Publisher.
Dale, A., Wathan, J., & Higgins, V. (2008). Secondary analysis of quantitative data sources. In P. Alasuutari, L. Bickman, & J. Brannen (Eds.), The sage handbook of social research methods (pp. 520–535). London: Sage.
Dargay, J. M. (1983). The demand for energy in Swedish manufacturing-industries. Scandinavian Journal of Economics, 85(1), 37–51. doi:10.2307/3439909.
Dietmair, A., & Verl, A. (2009). A generic energy consumption model for decision making and energy efficiency optimisation in manufacturing. International Journal of Sustainable Engineering, 2(2), 123–133. doi:10.1080/19397030902947041.
Dimitropoulos, J. (2007). Energy productivity improvements and the rebound effect: An overview of the state of knowledge. Energy Policy, 35(12), 6354–6363. doi:10.1016/j.enpol.2007.07.028.
EIA. (2011). International Energy Outlook. U.S. Energy Information Administration. Retrieved from EIA http://www.eia.gov/forecasts/ieo/pdf/0484(2011).pdf.
EIA. (n.d.). International Energy Statistics-Units. U.S. Energy Information Administration. Retrieved from EIA http://www.eia.gov/cfapps/ipdbproject/docs/unitswithpetro.cfm.
EPA. (2007). Energy Trends in Selected Manufacturing Sectors: Opportunities and Challenges for Environmentally Preferable Energy Outcomes. Enviromental Protection Agency. Retrieved from EPA http://www.epa.gov/sectors/pdf/energy/report.pdf.
Favennec, J. P. (2005). Oil and natural gas supply for Europe. Catalysis Today, 106(1–4), 2–9. doi:10.1016/j.cattod.2005.07.171.
Field, B. C., & Grebenstein, C. (1980). Capital-energy substitution in U.S. manufacturing. The Review of Economics and Statistics, 62(2), 207. doi:10.2307/1924746.
Finley, M. (2012). The oil market to 2030: Implications for investment and policy. Economics of Energy and Environmental Policy, 1(1), 25–36.
Friedemann, M., Staake, T., & Weiss, M. (2010). Ict for green: How computers can help us to conserve energy. Paper presented at the proceedings of the 1st international conference on energy-efficient computing and networking, Passau, Germany.
Frondel, M., & Schmidt, C. M. (2002). The capital-energy controversy: An artifact of cost shares? Energy, 23(3), 53–79.
Fukao, K., Miyagawa, T., & Pyo, H. K. (2009). Estimates of multifactor productivity, ICT contributions and resource reallocation effects in japan and korea. RIETI Discussion Paper Series 09-E-021. Retrieved from The Research Institute of Economy, Trade and Industry http://www.rieti.go.jp/jp/publications/dp/09e021.pdf.
Griffin, J. M., & Gregory, P. R. (1976). An intercountry translog model of energy substitution responses. The American Economic Review, 66(5), 845–857. doi:10.2307/1827496.
Heshmati, A. (1996). On the single and multiple time trends representation of technical change. Applied Economics Letters, 3(8), 495–499. doi:10.1080/135048596356104.
Heshmati, A. (2001). Labour demand and efficiency in Swedish savings banks. Applied Financial Economics, 11(4), 423–433. doi:10.1080/096031001300313983.
Heshmati, A. (2003). Productivity growth, efficiency and outsourcing in manufacturing and service industries. Journal of Economic Surveys, 17(1), 79–112. doi:10.1111/1467-6419.00189.
Heshmati, A. (2013). Demand, customer base-line and demand response in the electricity market: A survey. Journal of Economic Surveys, n/a–n/a. doi:10.1111/joes.12033.
Hicks, J. R. (1961). Marshall’s third rule: A further comment. Oxford Economic Papers, 13(3), 262–265.
Imran, K., & Siddiqui, M. M. (2010). Energy consumption and economic growth: A case study of three SAARC countries. European Journal of Social Sciences, 16(2), 206–213.
Johnson, B. (2001). Toward a new classification of nonexperimental quantitative research. Educational Researcher, 30(2), 3–13.
Just, R. E., & Pope, R. D. (1978). Stochastic specification of production functions and economic implications. Journal of Econometrics, 7(1), 67–86. doi:10.1016/0304-4076(78)90006-4.
Just, R. E., & Pope, R. D. (1979). Production function estimation and related risk considerations. American Journal of Agricultural Economics, 61(2), 276–284. doi:10.2307/1239732.
Kim, B. C., & Labys, W. C. (1988). Application of the translog model of energy substitution to developing-countries—the case of Korea. Energy Economics, 10(4), 313–323. doi:10.1016/0140-9883(88)90043-6.
Knut, S., & Hammond, P. (1995). Mathematics for economic analysis. Prentice Hall.
Koetse, M. J., de Groot, H. L. F., & Florax, R. J. G. M. (2008). Capital-energy substitution and shifts in factor demand: A meta-analysis. Energy Economics, 30(5), 2236–2251. doi:10.1016/j.eneco.2007.06.006.
Koopmants, T. C. (1951). An analysis of production as an efficient combination of activities. In T. C. Koopmants (Ed.), Activity analysis of production and allocation (pp. 33–97). New York: USA Wiley.
Kuemmel, R., Stresin, R., Lindenberger, D., & Journal, B. (2008). Co-integration of output, capital, labor and energy. The European Physical, 66(2), 279–287.
Kumbhakar, S. C. (1997). Efficiency estimation with heteroscedasticity in a panel data model. Applied Economics, 29(1 SRC—GoogleScholar), 379–386.
Kumbhakar, S. C., Heshmati, A., & Hjalmarsson, L. (1997). Temporal patterns of technical efficiency: Results from competing models. International Journal of Industrial Organization, 15(5), 597–616. doi:10.1016/S0167-7187(96)01053-3.
Kumbhakar, S. C., Hjalmarsson, L., & Heshmati, A. (2002). How fast do banks adjust? A dynamic model of labour-use with an application to Swedish banks. Journal of Productivity Analysis, 18(1), 79–102.
Kumbhakar, S. C., & Lovell, C. A. K. (2000). Stochastic frontier analysis. Cambridge: U. K.
Lomax, R. G. (2007). Statistical concepts: A second course for education and the behavioral sciences (3rd ed.). Lawrence Erlbaum Associates: Mahwah, NJ.
Lovell, C. A. K. (1996). Applying efficiency measurement techniques to the measurement of productivity change. Journal of Productivity Analysis, 7(2–3), 329–340.
Mahony, M., Timmer, M. P., & Klems, U. E. (2009). Output, input and productivity measures at the industry level. 119(538 SRC—GoogleScholar), F374–F403.
Mukherjee, K. (2008). Energy use efficiency in U.S. manufacturing: A nonparametric analysis. Energy Economics, 30(1), 76–96. doi:10.1016/j.eneco.2006.11.004.
O’Mahony, M., & Timmer, M. P. (2009). Output, input and productivity measures at the industry level: The EU KLEMS database. The Economic Journal, 119(538), F374–F403. doi:10.1111/j.1468-0297.2009.02280.x.
O’brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41(5), 673–690. doi:10.1007/s11135-006-9018-6.
Park, C., Kwon, K., Kim, W., Min, B., Park, S., Sung, I., & Seok, J. (2009). Energy consumption reduction technology in manufacturing—A selective review of policies, standards, and research. International Journal of Precision Engineering and Manufacturing, 10(5), 151–173. doi:10.1007/s12541-009-0107-z.
Pindyck, R. S. (1979). Interfuel substitution and the industrial demand for energy: An international comparison. The Review of Economics and Statistics, 61(2 SRC—GoogleScholar), 169–179.
Ramaswami, B. (1992). Production risk and optimal input decisions. American Journal of Agricultural Economics, 74(4), 860–869. doi:10.2307/1243183.
Sahu, S. K., & Narayanan, K. (2011). Total factor productivity and energy intensity in Indian manufacturing : A cross-sectional study. International Journal of Energy Economics and Policy, 1(2 SRC—GoogleScholar), 47–58.
Saicheua, S. (1987). Input substitution in Thailand’s manufacturing sector: Implications for energy policy. Energy Economics 9(1 SRC—GoogleScholar), 55–63.
Solow, R. M. (1957). Technical change and the aggregate production function. Review of Economics and Statistics, 39(3), 312–320. doi:10.2307/1926047.
Soytas, U., & Sari, R. (2009). Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member. Ecological Economics, 68(6), 1667–1675. doi:10.1016/j.ecolecon.2007.06.014.
Stern, D. I. (2011). The role of energy in economic growth. Annals of the New York Academy of Sciences, 1219(1), 26–51. doi:10.1111/j.1749-6632.2010.05921.x.
Strassmann, W. P. (1959). Interrelated industries and the rate of technological-change. Review of Economic Studies, 27(72–7), 16–22. doi:10.2307/2296047.
Terrados, J., Almonacid, G., & Hontoria, L. (2007). Regional energy planning through SWOT analysis and strategic planning tools: Impacts on renewable development. Renewable and Sustainable Energy Reviews, 11(1), 1275–1287.
Thompson, P., & Taylor, T. G. (1995). The capital-energy substitutability debate: A new look. The Review of Economics and Statistics, 77(3), 565–569. doi:10.2307/2109916.
Timmer, C. P. (1971). Using a probabilistic frontier production function to measure technical efficiency. Journal of Political Economy, 79(4), 776–794. doi:10.1086/259787.
Tveterås, R. (2000). Flexible panel data models for risky production technologies with an application to Salomon aquaculture. Journal of Econometric Reviews, 19(3 SRC—GoogleScholar), 367–389.
Tveterås, R., & Heshmati, A. (2002). Patterns of productivity growth in the norwegian salmon farming industry. International Review of Economics and Business, 2(3), 367–393.
Urga, G., & Walters, C. (2003). Dynamic translog and linear logit models: a factor demand analysis of interfuel substitution in US industrial energy demand. Energy Economics, 25(1), 1–21. doi:10.1016/S0140-9883(02)00022-1.
Wang, C. X., & Webster, S. (2007). Channel coordination for a supply chain with a risk-neutral manufacturer and a loss-averse retailer. Decision Sciences, 38(3), 361–389. doi:10.1111/j.1540-5915.2007.00163.x.
Welsch, H., & Ochsen, C. (2005). The determinants of aggregate energy use in West Germany: factor substitution, technological change, and trade. Energy Economics, 27(1), 93–111. doi:10.1016/j.eneco.2004.11.004.
Wheeler, D., & Tiefelsdorf, M. (2005). Multicollinearity and correlation among local regression coefficients in geographically weighted regression. Journal of Geographical Systems, 7(2), 161–187. doi:10.1007/s10109-005-0155-6.
Wooldridge, J. M. (2006). Introductory Econometrics: A modern approach (4th ed.). Michigan State University.
Zahan, M., & Kenett, R. S. (2013). Modeling and forecasting energy consumption in the manufacturing industry in South Asia. International Journal of Energy Economics and Policy, 2(1), 87–98.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Khayyat, N.T. (2015). Overview. In: Energy Demand in Industry. Green Energy and Technology. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9953-9_1
Download citation
DOI: https://doi.org/10.1007/978-94-017-9953-9_1
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-017-9952-2
Online ISBN: 978-94-017-9953-9
eBook Packages: EnergyEnergy (R0)