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Energy Planning in Taiwan: An Alternative Approach Using a Multiobjective Programming and Input-Output Model

George J. Y. Hsu, Ping Sun Leung and Chauncey T. K. Ching

Year: 1988
Volume: Volume 9
Number: Number 1
DOI: 10.5547/ISSN0195-6574-EJ-Vol9-No1-5
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Abstract:
Faced with limited energy resources and soaring energy demand arising from rapid economic growth, Taiwan has to import a substantial amount of energy. In 1983, 88 percent of its total energy requirement (35.54 million kiloliters of oil equivalent) was imported. Since this heavy dependence will likely continue to increase for the next decade, energy economic planning in Taiwan is a critical issue. A major concern has been how "to achieve a certain economic growth rate with a minimum consumption of energy" (Kuo, 1983, p. 312).



Input-Output Analysis and Pollutant Emissions in France

Jean-Martial Breuil

Year: 1992
Volume: Volume 13
Number: Number 3
DOI: 10.5547/ISSN0195-6574-EJ-Vol13-No3-9
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Abstract:
This paper deals with the principle of pollutant emissions defined by Leontief in 1971, based on a fixed coefficient model. I have tested the plausibility of this model by attempting to replicate data on French emissions of SO2 and NOx by combustion and processes.



Extending Macroeconomic Impacts Forecasting for NEMS

Christa D. Court, Randall W. Jackson, Amanda J. Harker Steele, Gavin Pickenpaugh, Péter Járosi, Justin Adder, and Charles Zelek

Year: 2022
Volume: Volume 43
Number: Number 4
DOI: 10.5547/01956574.43.4.ccou
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Abstract:
To comprehensively model the macroeconomic impacts that result from changes in long-term energy-economy forecasts, the United States (U.S.) Department of Energy's National Energy Technology Laboratory (NETL) partnered with West Virginia University (WVU)'s Regional Research Institute to develop the NETL/WVU econometric input-output (ECIO) model. The NETL/WVU ECIO model is an impacts forecasting model that functions as an extension of the U.S. energy-economic models available from the U.S. Energy Information Administration's National Energy Modeling System (NEMS) and the U.S. Environmental Protection Agency's Market Allocation (MARKAL) model. The ECIO model integrates a macroeconomic econometric forecasting model and an input-output accounting framework along derived forecast scenarios detailing a baseline of the U.S. energy-economy and an alternative forecast on how power generation resources can meet future levels of energy demand to generate estimates of the impacts to gross domestic product, employment, and labor income. This manuscript provides an overview of the model design, assumptions, and standard outputs.





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