Increase of electricity price and energy efficiency: analysis using the macroeconomic interindustry model of Taiwan

References

• Adelman, I., ed. (1969) Practical Approaches to Development Planning: Korea’s Second Five-Year Plan. Baltimore, Johns Hopkins Press.
   Google Scholar
• Ahlert, G. (2001) The Economic Effects of the Soccer World Cup 2006 in Germany with Regard to Different Financing. Economic Systems Research, 13, 109–127. doi: 10.1080/09535310120026274
   Google Scholar
• Al-Faris, A. R. F. (2002) The Demand for Electricity in the GCC countries. Energy Policy, 30, 117–124. doi: 10.1016/S0301-4215(01)00064-7
   Web of Science ®Google Scholar
• Almon, C. (1974) 1985: Interindustry Forecasts of the American Economy. Lexington, MA, Lexington Books.
   Google Scholar
• Almon, C. (1991) The Inforum Approach to Interindustry Modeling. Economic Systems Research, 3, 1–7. doi: 10.1080/09535319100000001
   Google Scholar
• Almon, C. (2014) The Craft of Economic Modeling, 5th ed. College Park, MD, Interindustry Economic Research Fund, Inc.
   Google Scholar
• Atakhanova, Z. and P. Howie (2007) Electricity Demand in Kazakhstan. Energy Policy, 35, 3729–3743. doi: 10.1016/j.enpol.2007.01.005
   Web of Science ®Google Scholar
• Bach, S., M. Kohlhaas, B. Meyer, B. Praetorius, and H. Welsch (2002) The Effects of Environmental Fiscal Reform in Germany: A Simulation Study. Energy Policy, 30, 803–811. doi: 10.1016/S0301-4215(02)00005-8
   Web of Science ®Google Scholar
• Bacharach, M. (1965) Estimating Nonnegative Matrices from Marginal Data. International Economic Review, 6, 294–310. doi: 10.2307/2525582
   Web of Science ®Google Scholar
• Bardazzi, R. and M. Barnabani (2001) A Long-Run Disaggregated Cross-Section and Time-Series Demand System: An Application to Italy. Economic Systems Research, 13, 365–389. doi: 10.1080/09535310120089761
   Google Scholar
• Bardazzi, R., M. Grassini, and E. Longobardi (1991) Value-Added Taxes and Other Indirect Taxes in an EEC Country Model: The Italian Case. Economic Systems Research, 3, 37–47. doi: 10.1080/09535319100000004
   Google Scholar
• Bianco, V., O. Manca, and S. Nardini (2009) Electricity Consumption Forecasting in Italy Using Linear Regression Models. Energy, 34, 1413–1421. doi: 10.1016/j.energy.2009.06.034
   Web of Science ®Google Scholar
• Bianco, V., O. Manca, S. Nardini, and A.A. Minea (2010) Analysis and Forecasting of Nonresidential Electricity Consumption in Romania. Applied Energy, 87, 3584–3590. doi: 10.1016/j.apenergy.2010.05.018
   Web of Science ®Google Scholar
• Blázquez, L., N. Boogen, and M. Filippini (2013) Residential Electricity Demand in Spain: New Empirical Evidence Using Aggregate Data. Energy Economics, 36, 648–657. doi: 10.1016/j.eneco.2012.11.010
   Web of Science ®Google Scholar
• Chang, Y.L., Y.H. Huang, and H.W. Lin (2014) Efficiency in the Taiwan Iron and Steel Sectors: A Bottom-Up Model Based Assessment of Saving Potentials. The 4th IAEE Asian Conference. Beijing, China, September.
   Google Scholar
• Chateau, B. and B. Lapillonne (1978) Long-Term Energy Demand Forecasting: A New Approach. Energy Policy, 6, 140–157. doi: 10.1016/0301-4215(78)90035-6
   Web of Science ®Google Scholar
• Dervis, K., J. De Melo, and S. Robinson (1982) General Equilibrium Models for Development Policy. Cambridge, Cambridge University Press.
   Google Scholar
• Dilaver, Z. and L.C. Hunt (2011) Industrial Electricity Demand for Turkey: A Structural Time Series Analysis. Energy Economics, 33, 426–436. doi: 10.1016/j.eneco.2010.10.001
   Web of Science ®Google Scholar
• Dixon, P.B., B.R. Parmenter, J. Sutton, and D.P. Vincent (1982) Orani, A Multisectoral Model of the Australian Economy. Amsterdam, North-Holland Publishing Company.
   Google Scholar
• Dowd, T.A., R.M. Monaco, and J.J. Janoska (1998) Effects of Future Demographic Changes on the U.S. Economy: Evidence Form a Long-Term Simulation Model. Economic Systems Research, 10, 239–262. doi: 10.1080/762947110
   Google Scholar
• Fan, S. and R.J. Hyndman (2011) The Price Elasticity of Electricity Demand in South Australia. Energy Policy, 39, 3709–3719. doi: 10.1016/j.enpol.2011.03.080
   Web of Science ®Google Scholar
• Fell, H., S. Li, and A. Paul (2014) A New Look at Residential Electricity Demand Using Household Expenditure Data. International Journal of Industrial Organization, 33, 37–47. doi: 10.1016/j.ijindorg.2014.02.001
   Web of Science ®Google Scholar
• Filippini, M. and S. Pachuari (2004) Elasticities of Electricity Demand in Urban Indian Households. Energy Policy, 32, 429–436. doi: 10.1016/S0301-4215(02)00314-2
   Web of Science ®Google Scholar
• Fleiter, T., D. Fehrenbach, E. Worrell, and W. Eichhammer (2012) Energy Efficiency in the German Pulp and Paper Industry–A Model-Based Assessment of Saving Potentials. Energy, 40, 84–99. doi: 10.1016/j.energy.2012.02.025
   Web of Science ®Google Scholar
• Fleiter, T., E. Worrell, and W. Eichhammer (2011) Barriers to Energy Efficiency in Industrial Bottom-Up Energy Demand Models – A Review. Renewable and Sustainable Energy Reviews, 15, 3099–3111. doi: 10.1016/j.rser.2011.03.025
   Web of Science ®Google Scholar
• Gilchrist, D.A. and L.V. St Louis (1999) Completing Input–Output Tables Using Partial Information, with an Application to Canadian Data. Economic Systems Research, 11, 185–194. doi: 10.1080/09535319900000013
   Google Scholar
• Giljum, S., A. Behrens, F. Hinterberger, C. Lutz, and B. Meyer (2008) Modelling Scenarios Towards a Sustainable Use of Natural Resources in Europe. Environmental Science and Policy, 11, 204–216. doi: 10.1016/j.envsci.2007.07.005
   Web of Science ®Google Scholar
• Grassini, M. (2013a) The Core of the Multisectoral Inforum Model. In: R. Bardazzi (ed.) Economic Multisectoral Modelling Between Past and Future. A Tribute to Maurizio Grassini and a Selection of His Writings. Firenze, Firenze University Press, 47–65.
   Google Scholar
• Grassini, M. (2013b) Rowing Alone the Computable General Equilibrium Modelling Mainstream. In: R. Bardazzi (ed.) Economic Multisectoral Modelling Between Past and Future. A Tribute to Maurizio Grassini and a Selection of His Writings. Firenze, Firenze University Press, 109–135.
   Google Scholar
• Holtedahl, P. and F.L. Joutz (2004) Residential Electricity Demand in Taiwan. Energy Economics, 26, 201–224. doi: 10.1016/j.eneco.2003.11.001
   Web of Science ®Google Scholar
• Hudson, E.A. and D.W. Jorgenson (1974) US Energy Policy and Economic Growth, 1975–2000. Bell Journal of Economics and Management Science, 5, 461–514. doi: 10.2307/3003118
   Google Scholar
• IEA (2010) Energy Efficiency Governance. Paris, OECD/IEA.
   Google Scholar
• IEA (2011) Electricity Information 2011. Paris, OECD/IEA.
   Google Scholar
• Jackson, R. and Murray, A. (2004) Alternative Input–Output Matrix Updating Formulations. Economic Systems Research, 16, 135–148. doi: 10.1080/0953531042000219268
   Google Scholar
• Johansen, L. (1960) A Multi-sectoral Study of Economic Growth. Amsterdam: North-Holland Publishing Company.
   Google Scholar
• Jorgenson, D.W. and P.J. Wilcoxen (1990) Environmental Regulation and US Economic Growth. Rand Journal of Economics, 21, 314–340. doi: 10.2307/2555426
   Web of Science ®Google Scholar
• Junius, T. and J. Oosterhaven (2003) The Solution of Updating or Regionalizing a Matrix with Both Positive and Negative Entries. Economic Systems Research, 15, 87–96. doi: 10.1080/0953531032000056954
   Google Scholar
• Lapillonne, B. and B. Chateau (1981) The MEDEE Models for Long Term Energy Demand Forecasting. Socio-Economic Planning Science, 15, 53–58. doi: 10.1016/0038-0121(81)90049-5
   Web of Science ®Google Scholar
• Lehr, U., J. Nitsch, M. Kratzat, C. Lutz, and D. Edler (2008) Renewable Energy and Employment in Germany. Energy Policy, 36, 108–117. doi: 10.1016/j.enpol.2007.09.004
   Web of Science ®Google Scholar
• Lenzen, M., B. Gallego, and R. Wood (2009) Matrix Balancing Under Conflicting Information. Economic Systems Research, 21, 23–44. doi: 10.1080/09535310802688661
   Web of Science ®Google Scholar
• Li, P.C., S.H. Hsu, C.H. Huang, and H.H. Lin (2003) Baseline Forecasting for Greenhouse Gas Reductions in Taiwan: A Dynamic CGE Analysis. In: Global Warming and the Asian Pacific, Cheltenham: Edward Elgar, 35–59.
   Google Scholar
• Liang, C.Y. (2004) The Effect of Entering the WTO on the Oil Industry and the Economy of Taiwan. The World Economy, 27, 1537–1554. doi: 10.1111/j.1467-9701.2004.00665.x
   Web of Science ®Google Scholar
• Liang, C.Y. and D.W. Jorgenson (2003) Effect of Energy Tax on CO2 Emission and Economic Development of Taiwan, 1999–2020. In: C.C. Chang, R. Mendelsohn, and D. Shaw (eds.) Global Warming and the Asian Pacific. Cheltenham: Edward Elgar, 105–130.
   Google Scholar
• Lijesen, M.G. (2007) The Real-Time Price Elasticity of Electricity. Energy Economics, 29, 249–258. doi: 10.1016/j.eneco.2006.08.008
   Web of Science ®Google Scholar
• Lim, K.M., S.Y. Lim, and S.H. Yoo (2014) Short-and Long-Run Elasticities of Electricity Demand in the Korean Service Sector. Energy Policy, 67, 517–521. doi: 10.1016/j.enpol.2013.12.017
   Web of Science ®Google Scholar
• Lin, S.M., J.C. Feng, and F.K. Ko (2012) Assessing Taiwan’s Energy Security Under Climate Change. Natural Hazards, 62, 3–15. doi: 10.1007/s11069-011-0006-3
   Web of Science ®Google Scholar
• Lin, S.M., J.X. Lin, H.P. Su, and F.K. Ko (2009) The Potential of Renewable Energy and Energy Efficiency Improvement in Reducing CO2 Emissions in Taiwan. International Journal of Global Energy Issues, 32, 119–138. doi: 10.1504/IJGEI.2009.027977
   Google Scholar
• Lutz, C., B. Meyer, C. Nathani, and J. Schliech (2005) Endogenous Technological Change and Emissions: The Case of the German Steel Industry. Energy Policy, 33, 1143–1154. doi: 10.1016/j.enpol.2003.11.012
   Web of Science ®Google Scholar
• Lutz, C., B. Meyer, C. Nathani, and J. Schliech (2007) Endogenous Innovation, Economy and Environment: Impacts of a Technology Based Modelling Approach for Energy-Intensive Industries in Germany. Energy Studies Review, 15, 2–18. doi: 10.15173/esr.v15i1.502
   Google Scholar
• McCarthy, M.B. (1991) LIFT: Inforum’s Model of the U.S. Economy. Economic Systems Research, 3, 15–35. doi: 10.1080/09535319100000003
   Google Scholar
• Meyer, B., M. Distelkamp, and M.I. Wolter (2007a) Material Efficiency and Economic-Environmental Sustainability: Results of Simulations for Germany with the Model PANTA RHEI. Ecological Economics, 63, 192–200. doi: 10.1016/j.ecolecon.2006.10.017
   Web of Science ®Google Scholar
• Meyer, B., C. Lutz, P. Schnur, and G. Zika (2007b) Economic Policy Simulations with Global Interdependencies: A Sensitivity Analysis for Germany. Economic Systems Research, 19, 37–55. doi: 10.1080/09535310601164765
   Google Scholar
• Monaco, L.S. (1991) An Industry-Specific Extension to an Inforum Model. Economic Systems Research, 3, 49–54. doi: 10.1080/09535319100000005
   Google Scholar
• Nyhus, D.E. (1991) The Inforum International System. Economic Systems Research, 3, 55–64. doi: 10.1080/09535319100000006
   Google Scholar
• Orlowski, W.M. and L. Tomaszewicz (1991) The Inforum Model of the Polish Economy. Economic Systems Research, 3, 82–92. doi: 10.1080/09535319100000009
   Google Scholar
• Parikh, A. (1979) Forecasts of Input–Output Matrices Using the RAS Method. The Review of Economics and Statistics, 61, 477–481. doi: 10.2307/1926084
   Web of Science ®Google Scholar
• Scarf, H. (1967) The Approximation of Fixed Points of a Continuous Mapping. SIAM Journal on Applied Mathematics, 15, 1328–1343. doi: 10.1137/0115116
   Web of Science ®Google Scholar
• Shoven, J.B. and J. Whalley (1984) Applied General-Equilibrium Models of Taxation and International Trade: An Introduction and Survey. Journal of Economic Literature, 22, 1007–1051.
   Web of Science ®Google Scholar
• Toh, M.H. (1998) The RAS Approach in Updating Input–Output Matrices: An Instrumental Variable Interpretation and Analysis of Structural Change. Economic Systems Research, 10, 63–78. doi: 10.1080/09535319800000006
   Google Scholar
• Urga, G. and C. Walters (2003) Dynamic Translog and Linear Logit Models: A Factor Demand Analysis of Interfuel Substitution in US Industrial Energy Demand. Energy Economics, 25, 1–21. doi: 10.1016/S0140-9883(02)00022-1
   Web of Science ®Google Scholar
• Werling, J.F. (1992) MIDE: A Macroeconomic Multisectoral Model of the Spanish Economy. Doctoral diss. The University of Maryland.
   Google Scholar
• Wiebe, K.S., M. Bruckner, S. Giljum, and C. Lutz (2012) Calculating Energy-Related CO2 Emission Embodied in International Trade Using a Global Input–Output Model. Economic Systems Research, 24, 113–139. doi: 10.1080/09535314.2011.643293
   Web of Science ®Google Scholar
• Worrel, E. and L. Price (2001) Policy Scenarios for Energy Efficiency Improvement in Industry. Energy Policy, 29, 1223–1241. doi: 10.1016/S0301-4215(01)00069-6
   Web of Science ®Google Scholar
• Yu, Q. (1997) MUDAN: A China Model for Multisectoral Development Analysis. Inforum Working Paper wp97007. Available online in April 2017 at http://sartoris.umd.edu/papers/wp/wp/1997/wp97007.pdf.
   Google Scholar