Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Phoebe Girouard Spencer"'
Publikováno v:
Wang, D, Andree, B P J, Spencer, P & Chamorro, A 2022, ' Transitions into and out of food insecurity: A probabilistic approach with panel data evidence from 15 countries ', World Development, vol. 159, 106035, pp. 1-18 . https://doi.org/10.1016/j.worlddev.2022.106035
World Development, 159:106035, 1-18. Elsevier BV
World Development, 159:106035, 1-18. Elsevier BV
Recent advances in food insecurity classification have made analytical approaches to predict and inform response to food crises possible. This paper develops a predictive, statistical framework to identify drivers of food insecurity risk with simulat
Globally, more than 130 million people are estimated to be in food crisis. These humanitarian disasters are associated with severe impacts on livelihoods that can reverse years of development gains. The existing outlooks of crisis-affected population
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fba3f55ebbf51b17c866efa476fe114f
https://doi.org/10.1596/1813-9450-9412
https://doi.org/10.1596/1813-9450-9412
Recent advances in food insecurity classification have made analytical approaches to predict and inform response to food crises possible. This paper develops a predictive, statistical framework to identify drivers of food insecurity risk with simulat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3c9bff130e2a08d24734ee547d85970
https://doi.org/10.1596/1813-9450-9413
https://doi.org/10.1596/1813-9450-9413
Autor:
Phoebe Girouard Spencer, Harun Dogo, Dieter Wang, Sardar Feredun Azari, Bo Pieter Johannes Andree, Andres Chamorro
This paper introduces a Spatial Vector Autoregressive Moving Average (SVARMA) model in which multiple cross-sectional time series are modeled as multivariate, possibly fat-tailed, spatial autoregressive ARMA processes. The estimation requires specify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c4d73280176849388fb2e3d725c285d
https://doi.org/10.1596/1813-9450-8757
https://doi.org/10.1596/1813-9450-8757
This paper revisits the issue of environment and development raised in the 1992 World Development Report, with new analysis tools and data. The paper discusses inference and interpretation in a machine learning framework. The results suggest that pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d5b3b9c013446d682103d9b37a1c741
https://doi.org/10.1596/1813-9450-8756
https://doi.org/10.1596/1813-9450-8756
Publikováno v:
Renewable and Sustainable Energy Reviews, 114:109221. Elsevier Limited
Andrée, B P J, Chamorro, A, Spencer, P, Koomen, E & Dogo, H 2019, ' Revisiting the relation between economic growth and the environment; a global assessment of deforestation, pollution and carbon emission ', Renewable and Sustainable Energy Reviews, vol. 114, 109221 . https://doi.org/10.1016/j.rser.2019.06.028
Andrée, B P J, Chamorro, A, Spencer, P, Koomen, E & Dogo, H 2019, ' Revisiting the relation between economic growth and the environment; a global assessment of deforestation, pollution and carbon emission ', Renewable and Sustainable Energy Reviews, vol. 114, 109221 . https://doi.org/10.1016/j.rser.2019.06.028
The UN's Sustainable Development Goals for 2030 aim on one hand at inclusive growth and eradicating poverty, and on the other at preserving environments. The relation between development and the environment has been studied extensively since the 1990