Green Dreams: Myth and Reality in China’s Agricultural Investment in Africa
By Deborah A. Bräutigam, Haisen Zhang. 2013
119 citations recorded by the source corpus.
Subfields: General Agricultural and Biological Sciences, Political Science and International Relations, Soil Science
View Paper: https://www.semanticscholar.org/paper/f12103d24c548882d779a00b6c1d03457939bf16
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In General Agricultural and Biological Sciences
In Political Science and International Relations
In Soil Science
Citations in the corpus
- Agrarian political economy and modern world capitalism: the contributions of food regime analysis (2016, background): “Other accounts suggest more complex ensembles of social forces, not least indigenous capitals, including forms of ‘accumulation from below’ by agrarian capitalists and more ambitious petty commodity producers, and ‘host’ states, as well as pointing to sweeping exaggeration of the extent and effects ”
- Labour Market Effects of Large-Scale Agricultural Investment: Conceptual Considerations and Estimated Employment Effects (2017, methodology): “While Land Matrix data were criticized when first published (see, for instance, Bräutigam & Zhang, 2013; Edelman, 2013; Oya, 2013), the data are now widely used by researchers (see, for instance, Arezki, Deininger, & Selod, 2015; Messerli et al., 2014; Osabuohien, 2014).”
- Chinese State Capitalism? Rethinking the Role of the State and Business in Chinese Development Cooperation in Africa (2016, background): “Beijing.”
- South–South Cooperation, Agribusiness, and African Agricultural Development: Brazil and China in Ghana and Mozambique (2016, background): “Chinese investments in agriculture in Africa focus on the gradual building of commercial agricultural services and inputs businesses, rather than on large-scale acquisition of land for food production for Chinese markets, as is often presented in the media (Brautigam & Zhang, 2013).”
- The geographic and sectoral patterns of large-scale farmland investments in sub-Saharan Africa (2014, background): “Food Policy (2014), http://dx.doi.org/10.1016/j.foodpol.2014.03.007 (continued) Origin of lead Data quality categories Total Number of projectsCategory 1 Category 2 Category 1 (conditional) Zimbabwe 13,000 13,000 1 Finland 19,600 19,600 1 Luxembourg 23,000 23,000 1 UAE 25,983 25,983 2 Kenya 27,885 2”