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Trading Off Global Fuel Supply, CO2 Emissions and Sustainable Development

Overview of attention for article published in PLOS ONE, March 2016
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Title
Trading Off Global Fuel Supply, CO2 Emissions and Sustainable Development
Published in
PLOS ONE, March 2016
DOI 10.1371/journal.pone.0149406
Pubmed ID
Authors

Liam Wagner, Ian Ross, John Foster, Ben Hankamer

Abstract

The United Nations Conference on Climate Change (Paris 2015) reached an international agreement to keep the rise in global average temperature 'well below 2°C' and to 'aim to limit the increase to 1.5°C'. These reductions will have to be made in the face of rising global energy demand. Here a thoroughly validated dynamic econometric model (Eq 1) is used to forecast global energy demand growth (International Energy Agency and BP), which is driven by an increase of the global population (UN), energy use per person and real GDP (World Bank and Maddison). Even relatively conservative assumptions put a severe upward pressure on forecast global energy demand and highlight three areas of concern. First, is the potential for an exponential increase of fossil fuel consumption, if renewable energy systems are not rapidly scaled up. Second, implementation of internationally mandated CO2 emission controls are forecast to place serious constraints on fossil fuel use from ~2030 onward, raising energy security implications. Third is the challenge of maintaining the international 'pro-growth' strategy being used to meet poverty alleviation targets, while reducing CO2 emissions. Our findings place global economists and environmentalists on the same side as they indicate that the scale up of CO2 neutral renewable energy systems is not only important to protect against climate change, but to enhance global energy security by reducing our dependence of fossil fuels and to provide a sustainable basis for economic development and poverty alleviation. Very hard choices will have to be made to achieve 'sustainable development' goals.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Unknown 158 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 21%
Student > Master 23 14%
Researcher 13 8%
Student > Bachelor 12 8%
Other 9 6%
Other 26 16%
Unknown 43 27%
Readers by discipline Count As %
Engineering 20 13%
Environmental Science 20 13%
Agricultural and Biological Sciences 9 6%
Economics, Econometrics and Finance 9 6%
Chemistry 9 6%
Other 40 25%
Unknown 52 33%