Cited by 22Livestock Farming and ManagementAgriculture and Agroindustry StudiesRegional Economics and Spatial Analysis

Regional expansion of the beef industry in Brazil: From the coast to the Amazon, 1966–2017

Open access
Vale, Ricardo, Vale, Petterson, Gibbs, Holly, Pedrón, Daniel, Engelmann, Jens, Pereira, Ritaumaria, Barreto, Paulo·2022·Regional Studies, Regional Science

Abstract

A regional approach to the study of Brazil’s beef industry is increasingly relevant as deforestation takes centre stage in policy debates worldwide. To what extent has beef production expanded toward regions hosting sensitive ecosystems such as the Amazon? Important data limitations remain to answer this question, especially regarding slaughterhouses, fundamental to the beef supply chain. This paper addresses the data gap on slaughterhouse location and history and provides novel regional analysis. We map the beef industry’s evolution into Brazil’s interior over the last six decades and quantify changes in market concentration between 2006 and 2016. To accomplish this, we triangulated across fiscal and animal sanitation data sources to produce the first longitudinal dataset with information on the opening and closing dates, locations, and production volumes of 2602 slaughterhouses. We show the linear movement of slaughterhouses and cattle herds to the Amazon by tracking their geographical centres of gravity. We also show the clustering pattern of slaughterhouses. Until the 1960s, all the geographical clusters were located south of the capital, Brasília. By the early 2000s, clusters north of Brasília were almost as extensive. Finally, we assessed the degree of market power that the largest beef-processing companies possess. The results indicate that market concentration increased in regions of more recent settlement further away from the coast, and that it remained relatively stable in states near the coast (Minas Gerais, São Paulo). The results shed light on the relationship between displacement toward the Amazon and Cerrado regions and economic concentration.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/21681376.2022.2130088

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Exponential growth over 40-60 years interiorized Brazil's cattle ranching, spearheading frontierization and deforestation.

    “That follows exponential growth that over the course of 40-60 years”

    From Beyond the “supply chain” framing: Cattle ranching as a vanishing mediator of deforestation and dispossession in the Brazilian and Colombian Amazon (2026) · cites this paper as Vale et al., 2022

    The Introduction describes cattle production moving into the Amazon from the late 1960s and calls beef-industry expansion a main driver of deforestation. The Results (§3.1; page unavailable) document the industry’s northward movement over decades, but describe that movement as almost linear; the copy does not establish exponential growth or explicitly say ranching spearheaded frontierization. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • The increasing presence of large meatpacking conglomerates has been a key factor enabling pasture expansion ever deeper in the Amazon.

    “The increasing presence of large meatpacking conglomerates has been a key factor enabling pasture expansion ever deeper in the Amazon (Vale et al., 2022;Zu Ermgassen et al., 2024).”

    From Beyond the “supply chain” framing: Cattle ranching as a vanishing mediator of deforestation and dispossession in the Brazilian and Colombian Amazon (2026) · cites this paper as Vale et al., 2022

    The Results (§3.2) report that large meatpacking groups grew alongside slaughterhouse expansion into the Amazon. But the Discussion (§4.3) says cattle herds moved inland and their dispersion predicted slaughterhouse expansion; it does not establish that conglomerates were a key factor enabling pasture expansion. The Discussion also describes causal identification of deforestation predictors as a goal for further study. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

No references could be resolved yet.

Research works printed but not linked: 39

  1. Alix-Garcia, J., & Gibbs, H. K. (2017). Forest conservation effects of Brazil’s zero deforestation cattle agreements undermined by leakage. Global Environmental Change, 47, 201–217. https://doi.org/10.1016/j.gloenvcha.2017.08.009 · DOI · Paper page
  2. Alves, L. M., Marengo, J. A., Fu, R., & Bombardi, R. J. (2017). Sensitivity of Amazon regional climate to deforestation. American Journal of Climate Change, 6(1), 75–98. https://doi.org/10.4236/ajcc.2017.61005 · DOI
  3. Andersen, L. E., Granger, C. W. J., Granger, P., Reis, E. J., Weinhold, D., & Wunder, S. 2002. The dynamics of deforestation and economic growth in the Brazilian Amazon. Cambridge University Press.
  4. Arnould, R. J. (1971). Changing patterns of concentration in American meat packing, 1880–1963. Business History Review, 45(1), 18–34. https://doi.org/10.2307/3113303 · DOI
  5. Azzam, A. (1998). Competition in the US meatpacking industry: Is it history? Agricultural Economics, 18(2), 107–126. https://doi.org/10.1111/j.1574-0862.1998.tb00492.x · DOI
  6. Azzam, A. M., & Pagoulatos, E. (1990). Testing oligopolistic and oligopsonistic behaviour: An application to the Us meat-packing industry. Journal of Agricultural Economics, 41(3), 362–370. https://doi.org/10.1111/j.1477-9552.1990.tb00652.x · DOI
  7. Benton, W. C., & Maloni, M. (2005). The influence of power driven buyer/seller relationships on supply chain satisfaction. Journal of Operations Management, 23(1), 1–22. https://doi.org/10.1016/j.jom.2004.09.002 · DOI
  8. Bustamante, M. M. C., Nobre, C. A., Smeraldi, R., Aguiar, A. P. D., Barioni, L. G., Ferreira, L. G., Longo, K., May, P., Pinto, A. S., & Ometto, J. P. H. B. (2012). Estimating greenhouse gas emissions from cattle raising in Brazil. Climatic Change, 115(3–4), 559–577. https://doi.org/10.1007/s10584-012-0443-3 · DOI
  9. da Boechat, A. M. F., & Parré, J. L. (2018). Mercado relevante e o exercício do poder de comprador: uma análise na cadeia produtiva de carne bovina brasileira entre 2004 e 2014. Revista Econômica do Nordeste, 49(1), 117–131.
  10. de Caleman, S. M. Q., & da Cunha, C. F. (2011). Estrutura e Conduta da Agroindústria Exportadora de Carne Bovina no Brasil. Organizações Rurais & Agroindustriais, 13(1), 93–108.https://www.redalyc.org/articulo.oa?id=87818623008.
  11. de Carvalho, T. B. (2016). Estratégias de crescimento e reestruturação da indústria de carne bovina no Brasil: o papel de políticas públicas discricionárias (text). Universidade de São Paulo. https://doi.org/10.11606/T.12.2016.tde-06072016-153906 · DOI
  12. Fujita, M., & Thisse, J.-F. (2013). Economics of agglomeration: Cities, industrial location, and globalization. Cambridge University Press.
  13. Gibbs, H. K., Munger, J., L’Roe, J., Barreto, P., Pereira, R., Christie, M., Amaral, T., & Walker, N. F. (2016). Did ranchers and slaughterhouses respond to zero-deforestation agreements in the Brazilian Amazon? Conservation Letters, 9(1), 32–42. https://doi.org/10.1111/conl.12175 · DOI · Paper page
  14. Grether, J.-M., & Mathys, N. A. (2008). Is the world’s economic center of gravity already in Asia? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.930602 · DOI
  15. Heckenberger, M. J., Christian Russell, J., Toney, J. R., & Schmidt, M. J. (2007). The legacy of cultural landscapes in the Brazilian Amazon: Implications for biodiversity. Philosophical Transactions of the Royal Society B: Biological Sciences, 362(1478), 197–208. https://doi.org/10.1098/rstb.2006.1979 · DOI
  16. Hogeland, J. A. (2004). An application of Steindl’s theory of concentration to the US meat packing industry, 1865–1988. In T. Mott, & N. Shapiro (Eds.), Rethinking capitalist development: Essays on the economics of Josef Steindl (Chapter 3, 1st ed.). Routledge. https://doi.org/10.4324/9780203645901 · DOI
  17. Jaffé, R., Nunes, S., Santos, J. F. D., Gastauer, M., Giannini, T. C., Nascimento, W. Jr, Sales, M., Souza, C. M. Jr, Souza-Filho, P. W., & Fletcher, R. J. (2021). Forecasting deforestation in the Brazilian Amazon to prioritize conservation efforts. Environmental Research Letters. 16(8), 084034. https://doi.org/10.1088/1748-9326/ac146a · DOI
  18. Klink, C. A., & Machado, R. B. (2005). Conservation of the Brazilian Cerrado. Conservation Biology, 19(3), 707–713. https://doi.org/10.1111/j.1523-1739.2005.00702.x · DOI
  19. Koontz, S. R. (2003). Market power in the United States red meatpacking industry. Veterinary Clinics of North America: Food Animal Practice, 19(2), 519–544. https://doi.org/10.1016/S0749-0720(03)00030-6 · DOI
  20. Lambin, E. F., Gibbs, H. K., Heilmayr, R., Carlson, K. M., Fleck, L. C., Garrett, R. D., Waroux, Y. l. P. d., McDermott, C. L., McLaughlin, D., Newton, P., Nolte, C., Pacheco, P., Rausch, L. L., Streck, C., Thorlakson, T., & Walker, N. F. (2018). The role of supply-chain initiatives in reducing deforestation. Nature Climate Change, 8(2), 109–116. https://doi.org/10.1038/s41558-017-0061-1 · DOI
  21. Lapola, D. M., Martinelli, L. A., Peres, C. A., Ometto, J. P. H. B., Ferreira, M. E., Nobre, C. A., Aguiar, A. P. D., Bustamante, M. M. C., Cardoso, M. F., Costa, M. H., Joly, C. A., Leite, C. C., Moutinho, P., Sampaio, G., Strassburg, B. B. N., & Vieira, I. C. G. (2014). Pervasive transition of the Brazilian land-use system. Nature Climate Change, 4(1), 27–35. https://doi.org/10.1038/nclimate2056 · DOI · Paper page
  22. Laurance, W. F., Albernaz, A. K. M., Schroth, G., Fearnside, P. M., Bergen, S., Venticinque, E. M., & Costa, C. D. (2002). Predictors of deforestation in the Brazilian Amazon. Journal of Biogeography, 29(5–6), 737–748. https://doi.org/10.1046/j.1365-2699.2002.00721.x · DOI
  23. Lopes, M.-A. (2015). Struggles over an ‘Old, Nasty, and Inconvenient Monopoly’: Municipal Slaughterhouses and the Meat Industry in Rio de Janeiro, 1880–1920s. Journal of Latin American Studies, 47(2), 349–376. https://doi.org/10.1017/S0022216X14001072 · DOI
  24. Lu, G. Y., & Wong, D. W. (2008). An adaptive inverse-distance weighting spatial interpolation technique. Computers & Geosciences, 34(9), 1044–1055. https://doi.org/10.1016/j.cageo.2007.07.010 · DOI
  25. MacDonald, J. M. (2003). Beef and pork packing industries. Veterinary Clinics of North America: Food Animal Practice, 19(2), 419–443. https://doi.org/10.1016/S0749-0720(03)00022-7 · DOI
  26. McManus, C., Barcellos, J. O. J., Formenton, B. K., Hermuche, P. M., Carvalho, O. A. d., Guimarães, R., Gianezini, M., Dias, E. A., Lampert, V. d. N., Zago, D., & Neto, J. B. (2016). Dynamics of cattle production in Brazil. PLOS ONE, 11, e0147138. https://doi.org/10.1371/journal.pone.0147138 · DOI
  27. Moita, R. M., & Golon, L. A. (2014). Oligopsônio dos Frigoríficos: Uma Análise Empírica de Poder de Mercado. Revista de Administração Contemporânea, 18(6), 772–794. https://doi.org/10.1590/1982-7849rac20141196 · DOI
  28. Nolte, C., le Polain de Waroux, Y., Munger, J., Reis, T. N. P., & Lambin, E. F. (2017). Conditions influencing the adoption of effective anti-deforestation policies in South America’s commodity frontiers. Global Environmental Change, 43, 1–14. https://doi.org/10.1016/j.gloenvcha.2017.01.001 · DOI
  29. Peterson, H. C. (2002). The ‘learning’ supply chain: Pipeline or pipedream? American Journal of Agricultural Economics, 84(5), 1329–1336. https://doi.org/10.1111/1467-8276.00398 · DOI
  30. Porter, M. E. (1998). Clusters and competition. In On competition (1st ed., pp. 197–287). Harvard Business School.
  31. Ratter, J. A., Ribeiro, J. F., & Bridgewater, S. (1997). The Brazilian Cerrado vegetation and threats to its biodiversity. Annals of Botany, 80(3), 223–230. https://doi.org/10.1006/anbo.1997.0469 · DOI
  32. Silva, M. C. d., Boaventura, V. M., & Fioravanti, M. C. S. (2017). História do Povoamento Bovino no Brasil Central. Revista UFG, 13. https://doi.org/10.5216/revufg.v13i13.48451 · DOI
  33. Touboulic, A., Chicksand, D., & Walker, H. (2014). Managing imbalanced supply chain relationships for sustainability: A power perspective. Decision Sciences, 45(4), 577–619. https://doi.org/10.1111/deci.12087 · DOI
  34. Tyukavina, A., Hansen, M. C., Potapov, P. V., Stehman, S. V., Smith-Rodriguez, K., Okpa, C., & Aguilar, R. (2017). Types and rates of forest disturbance in Brazilian legal Amazon, 2000–2013. Science Advances, 3(4), e1601047. https://doi.org/10.1126/sciadv.1601047 · DOI · Paper page
  35. Vale, P., Gibbs, H., Vale, R., Christie, M., Florence, E., Munger, J., & Sabaini, D. (2019a). The expansion of intensive beef farming to the Brazilian Amazon. Global Environmental Change, 57, 101922. https://doi.org/10.1016/j.gloenvcha.2019.05.006 · DOI
  36. Vale, P. M., Gibbs, H. K., Vale, R., Munger, J., Brandão, A. Jr, & Florence, E. (2019b). Mapping the cattle industry in Brazil’s most dynamic cattle-ranching state: Slaughterhouses in Mato Grosso, 1967–2016 [Working Paper]. Gibbs Land Use and Environment Laboratory. SAGE, UW-Madison.
  37. Valverde, O. (1967). Geografia da pecuária no Brasil. Finisterra, 2(4). https://doi.org/10.18055/Finis2524. · DOI
  38. Werth, D., & Avissar, R. (2002). The local and global effects of Amazon deforestation. Journal of Geophysical Research: Atmospheres, 107(D20), LBA 55-1-LBA 55-8. https://doi.org/10.1029/2001JD000717 · DOI
  39. Wohlgenant, M. K. (2013). Competition in the US meatpacking industry. Annual Review of Resource Economics, 5(1), 1–12. https://doi.org/10.1146/annurev-resource-091912-151807 · DOI

Authors
Vale, R., Vale, P., Gibbs, H., Pedrón, D., Engelmann, J., Pereira, R., & Barreto, P.
Affiliations
  • University of Wisconsin–Madison (US)
  • Universidade de São Paulo (BR)
  • Imazon (BR)
Corresponding author
Vale, Ricardo
Venue
Regional Studies, Regional Science
Published
2022-10-31
Volume
9
Issue
1
Pages
641-664
ISSN
2168-1376 (ISSN-L)
OpenAlex
W4307890520
Cited by
22
References
0
Citations by year
2026: 17 · 2025: 2 · 2024: 3
FWCI
1.24
Type
journal article
Language
en
Open access
Locations
  • Regional Studies Regional Science (publishedVersion, cc-by-nc)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Direktoratet for Utviklingssamarbeid (1706-055)
  • Gordon and Betty Moore Foundation (1810-02)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Livestock Farming and Management
  • Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agriculture and Agroindustry Studies
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Regional Economics and Spatial Analysis
Keywords
beef industry, slaughterhouses, regional expansion, Amazon, Cerrado, market concentration, market power, cattle herds, deforestation, economic concentration

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review