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Cited by 718

The DOI matches its Crossref record; 201 of the 201 references it cites were found in a registry or an index.

The Long Green Revolution

Open access
Patel, Raj·2013·Journal of Peasant Studies

Abstract

To combat climate change and hunger, a number of governments, foundations and aid agencies have called for a ‘New Green Revolution’. Such calls obfuscate the dynamics of the Green Revolution. Using Arrighi's analysis of capital accumulation cycles, it is possible to trace a Long Green Revolution that spans the twentieth and twenty-first centuries. Such an analysis illuminates commonalities in past and present Green Revolutions, including their bases in class struggles and crises of accumulation, modes of governance – particularly in the links between governments and philanthropic institutions – and the institutions through which truths about agricultural change were produced and became known. Such an analysis also suggests processes of continuity between the original Green Revolution and features of twenty-first-century agricultural change, while providing a historical grounding in international financial capital's structural changes to help explain some of the novel features that accompany the New Green Revolution, such as ‘land grabs’, patents on life, and nutritionism.

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Crossref · 10.1080/03066150.2012.719224

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Metadata

Authors
Patel, R.
Venue
Journal of Peasant Studies
Published
2013-01
Volume
40
Issue
1
Pages
1-63
ISSN
  • 0306-6150 (ISSN-L)
  • 1743-9361
OpenAlex
W2029983019
Cited by
718
References
201
FWCI
45.70
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Long Green Revolution. https://app.cochat.ai/papers/10.1080/03066150.2012.719224
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Patel, R. (2013). The Long Green Revolution. Journal of Peasant Studies. https://doi.org/10.1080/03066150.2012.719224

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.