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Multi-model comparison of the economic and energy implications for China and India in an international climate regime

Overview of attention for article published in Mitigation and Adaptation Strategies for Global Change, February 2014
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Title
Multi-model comparison of the economic and energy implications for China and India in an international climate regime
Published in
Mitigation and Adaptation Strategies for Global Change, February 2014
DOI 10.1007/s11027-014-9549-4
Pubmed ID
Authors

Daniel J. A. Johansson, Paul L. Lucas, Matthias Weitzel, Erik O. Ahlgren, A. B Bazaz, Wenying Chen, Michel G. J. den Elzen, Joydeep Ghosh, Maria Grahn, Qiao-Mei Liang, Sonja Peterson, Basanta K. Pradhan, Bas J. van Ruijven, P. R. Shukla, Detlef P. van Vuuren, Yi-Ming Wei

Abstract

This paper presents a modeling comparison on how stabilization of global climate change at about 2 °C above the pre-industrial level could affect economic and energy systems development in China and India. Seven General Equilibrium (CGE) and energy system models on either the global or national scale are soft-linked and harmonized with respect to population and economic assumptions. We simulate a climate regime, based on long-term convergence of per capita carbon dioxide (CO2) emissions, starting from the emission pledges presented in the Copenhagen Accord to the United Nations Framework Convention on Climate Change and allowing full emissions trading between countries. Under the climate regime, Indian emission allowances are allowed to grow more than the Chinese allowances, due to the per capita convergence rule and the higher population growth in India. Economic and energy implications not only differ among the two countries, but also across model types. Decreased energy intensity is the most important abatement approach in the CGE models, while decreased carbon intensity is most important in the energy system models. The reduction in carbon intensity is mostly achieved through deployment of carbon capture and storage, renewable energy sources and nuclear energy. The economic impacts are generally higher in China than in India, due to higher 2010-2050 cumulative abatement in China and the fact that India can offset more of its abatement cost though international emission trading.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 88 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 24%
Student > Ph. D. Student 12 13%
Student > Master 10 11%
Other 5 6%
Professor 5 6%
Other 17 19%
Unknown 19 21%
Readers by discipline Count As %
Economics, Econometrics and Finance 17 19%
Environmental Science 14 16%
Energy 12 13%
Social Sciences 8 9%
Engineering 5 6%
Other 10 11%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 March 2014.
All research outputs
#19,436,760
of 23,906,448 outputs
Outputs from Mitigation and Adaptation Strategies for Global Change
#649
of 688 outputs
Outputs of similar age
#164,956
of 224,481 outputs
Outputs of similar age from Mitigation and Adaptation Strategies for Global Change
#11
of 11 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 688 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.