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Evaluating Energy Options for Israel: A Case Study

Nissan Levin, Asher Tishler, and Jacob Zahavi

Year: 1986
Volume: Volume 7
Number: Number 1
DOI: 10.5547/ISSN0195-6574-EJ-Vol7-No1-4
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Abstract:
More than 98 percent of Israel's primary energy resources are imported, most of it as crude oil, the rest of it as coal, placing the country in a most vulnerable and awkward position. The sharp increases in crude oil prices in 1973 following the Yom Kippur War and in 1979 has increased the country's economic burden, contributing to its increasing deficit in the balance of payments and staggering inflation rate. Perhaps here more than anywhere else, a balanced energy policy is most crucial for security and well-being. Such policy would allow diversification of primary energy resources by using more alternative and renewable resources supplemented by a variety of ways of managing demand and controlling peak-load growth.



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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