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      Estimation of global final-stage energy-return-on-investment for fossil fuels with comparison to renewable energy sources

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          Most cited references45

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          Input–Output Analysis

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            Energy and the u.s. Economy: a biophysical perspective.

            A series of hypotheses is presented about the relation of national energy use to national economic activity (both time series and cross-sectional) which offer a different perspective from standard economics for the assessment of historical and current economic events. The analysis incorporates nearly 100 years of time series data and 3 years of cross-sectional data on 87 sectors of the United States economy. Gross national product, labor productivity, and price levels are all correlated closely with various aspects of energy use, and these correlations are improved when corrections are made for energy quality. A large portion of the apparent increase in U.S. energy efficiency has been due to our ability to expand the relative use of high-quality fuels such as petroleum and electricity, and also to relative shifts in fuel use between sectors of the economy. The concept of energy return on investment is introduced as a major driving force in our economy, and data are provided which show a marked decline in energy return on investment for all our principal fuels in recent decades. Future economic growth will depend largely on the net energy yield of alternative fuel sources, and some standard economic models may need to be modified to account for the biophysical constraints on human economic activity.
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              Net energy analysis

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                Author and article information

                Journal
                Nature Energy
                Nat Energy
                Springer Science and Business Media LLC
                2058-7546
                July 2019
                July 11 2019
                July 2019
                : 4
                : 7
                : 612-621
                Article
                10.1038/s41560-019-0425-z
                cf6be06b-0d30-4fae-9f2c-c0a06c85073e
                © 2019

                http://www.springer.com/tdm

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