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Cited by 211

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Contested landscapes: the global political economy of climate-smart agriculture

Open access
Newell, Peter, Taylor, Olivia·2018·The Journal of Peasant Studies

Abstract

Analysing key initiatives in the area of climate-smart agriculture and the politics which surround them, this paper identifies the dominant discourses shaping the debate through a discussion of discursive sites of power and by mapping the emerging ‘regime complex’ of institutional power that operates at the interface of the climate and agrifood system. This is connected to forms of material power that derive from control over production, finance and technology in the neoliberal food regime by transnational capital. Such an analysis has important implications for which solutions are promoted as part of climate-smart agriculture and which actors are likely to benefit from the flows of technology, finance and institutional support that are mobilised in the struggle to define a viable global agrifood system in a warming world.

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Crossref · 10.1080/03066150.2017.1324426

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Metadata

Authors
Newell, P., & Taylor, O.
Venue
The Journal of Peasant Studies
Published
2017-07-11
Volume
45
Issue
1
Pages
108-129
ISSN
  • 0306-6150 (ISSN-L)
  • 1743-9361
OpenAlex
W2613294194
Cited by
211
References
2
FWCI
38.91
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Contested landscapes: the global political economy of climate-smart agriculture. https://app.cochat.ai/papers/10.1080/03066150.2017.1324426
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Newell, P., & Taylor, O. (2018). Contested landscapes: the global political economy of climate-smart agriculture. The Journal of Peasant Studies. https://doi.org/10.1080/03066150.2017.1324426

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.