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Elodie Blanc

Biographic Data

ID3932954
NAMEElodie Blanc
GIVEN NAMESElodie
FAMILY NAMEBlanc
SIGNATUREBLANC E
AFFILIATIONSJoint Program on the Science and Policy of Global Change; Massachusetts Institute of Technology; 77 Massachusetts Ave. Cambridge MA 02139-4307 USA
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS5
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2018
H-INDEX1
  • The climatic determinants of cotton yields

    Eric Blanc, Elodie Blanc et al.•PREPRINT•2018

    We conduct a multiple regression analysis of the main climatic determinants of rain fed cotton (Gossypium hirsutum L.) yields for an experimental plot located in Mali, West Africa. The use of daily climatic data allows us to explicitly examine the role of cumulative precipitation, the length of the rainy season, the number of dry spells, the flooding periods, temperature, and solar radiation in determining annual cotton production, and the result…

  • Estimating unbiased economies of scale of HIV prevention projects

    Open Access•Aurélia Lépine, Anna Vassall et al.•ARTICLE•Social Science & Medicine•2015•Cited by: 5•References: 13

  • Land-use change trajectories up to 2050

    Open Access•Christoph Schmitz, Hans Van Meijl et al.•ARTICLE•Agricultural Economics•2014

    Changes in agricultural land use have important implications for environmental services. Previous studies of agricultural land-use futures have been published indicating large uncertainty due to different model assumptions and methodologies. In this article we present a first comprehensive comparison of global agro-economic models that have harmonized drivers of population, GDP, and biophysical yields. The comparison allows us to ask two research…

  • The future of food demand

    Open Access•Hugo Valin, Ronald D Sands et al.•ARTICLE•Agricultural Economics•2014

    Understanding the capacity of agricultural systems to feed the world population under climate change requires projecting future food demand. This article reviews demand modeling approaches from 10 global economic models participating in the Agricultural Model Intercomparison and Improvement Project (AgMIP). We compare food demand projections in 2050 for various regions and agricultural products under harmonized scenarios of socioeconomic developm…

  • Estimating unbiased economies of scale of HIV prevention projects

    Open Access•Aurélia Lépine, Anna Vassall et al.•ARTICLE•Social Science & Medicine•2015•Cited by: 5•References: 13

  • Land-use change trajectories up to 2050

    Open Access•Christoph Schmitz, Hans Van Meijl et al.•ARTICLE•Agricultural Economics•2014

    Changes in agricultural land use have important implications for environmental services. Previous studies of agricultural land-use futures have been published indicating large uncertainty due to different model assumptions and methodologies. In this article we present a first comprehensive comparison of global agro-economic models that have harmonized drivers of population, GDP, and biophysical yields. The comparison allows us to ask two research…

  • The future of food demand

    Open Access•Hugo Valin, Ronald D Sands et al.•ARTICLE•Agricultural Economics•2014

    Understanding the capacity of agricultural systems to feed the world population under climate change requires projecting future food demand. This article reviews demand modeling approaches from 10 global economic models participating in the Agricultural Model Intercomparison and Improvement Project (AgMIP). We compare food demand projections in 2050 for various regions and agricultural products under harmonized scenarios of socioeconomic developm…

  • Estimating unbiased economies of scale of HIV prevention projects

    Open Access•Aurélia Lépine, Anna Vassall et al.•ARTICLE•Social Science & Medicine•2015•Cited by: 5•References: 13

  • The climatic determinants of cotton yields

    Eric Blanc, Elodie Blanc et al.•PREPRINT•2018

    We conduct a multiple regression analysis of the main climatic determinants of rain fed cotton (Gossypium hirsutum L.) yields for an experimental plot located in Mali, West Africa. The use of daily climatic data allows us to explicitly examine the role of cumulative precipitation, the length of the rainy season, the number of dry spells, the flooding periods, temperature, and solar radiation in determining annual cotton production, and the result…

Economics (3 works) · Geography (3 works) · Agriculture (2 works) · Agriculture Sustainability and Environmental Impact (2 works) · Biology (2 works) · Ecology (2 works) · Natural resource economics (2 works) · Agricultural economics (1 works) · Agricultural Economics and Policy (1 works) · Agriculture, Land Use, Rural Development (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae