IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0219742.html
   My bibliography  Save this article

The dynamics of coffee production in Brazil

Author

Listed:
  • Bruno Volsi
  • Tiago Santos Telles
  • Carlos Eduardo Caldarelli
  • Marcia Regina Gabardo da Camara

Abstract

Coffee is a crop of significant importance for Brazilian agrobusiness. There is evidence that both the geographic distribution of coffee production, and the varieties of coffee produced, have changed throughout Brazil over the course of time. Furthermore, it appears that these developments are associated with structural changes resulting from reductions in government intervention and its effects on prices in the coffee market, which has established a new dynamic of coffee production in the country. In this context, this study’s objective is to analyze the dynamics of coffee production in Brazil, to identify the Brazilian micro-regions specializing in coffee activities, and to track how the spatial distribution of these micro-regions has varied over time. In so doing, the study aims to identify defining economic characteristics of primary coffee-producing regions. Drawing primarily on data from the Brazilian Institute of Geography and Statistics, the study proceeds by applying Pearson correlation, Granger causality test, location quotient, principal components, and clustering analyses to explore how, during the 1984–2015 period, significant changes occurred in the distribution of regions specializing in coffee production. States such as Paraná and São Paulo, historically important coffee producers, declined in importance, leaving only a few micro-regions in these states specialized in coffee production. During the 2014/15 biennium, 80% of the coffee-specialized micro-regions were concentrated in the states of Minas Gerais, Bahia, Rondônia, and Espírito Santo. Minas Gerais and Bahia primarily produced arabica coffee, while Rondônia specialized in conilon (robusta) coffee. Overall, coffee produced in Brazil improved in quality and value-added over this period.

Suggested Citation

  • Bruno Volsi & Tiago Santos Telles & Carlos Eduardo Caldarelli & Marcia Regina Gabardo da Camara, 2019. "The dynamics of coffee production in Brazil," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-15, July.
  • Handle: RePEc:plo:pone00:0219742
    DOI: 10.1371/journal.pone.0219742
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0219742
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0219742&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0219742?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    2. de Almeida, Luciana & Zylbersztajn, Decio, 2017. "Key Success Factors in the Brazilian Coffee Agrichain: Present and Future Challenges," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 8(1), pages 1-9, January.
    3. Andrea Fracasso & Giuseppe Vittucci Marzetti, 2018. "Estimating dynamic localization economies: the inadvertent success of the specialization index and the location quotient," Regional Studies, Taylor & Francis Journals, vol. 52(1), pages 119-132, January.
    4. Naritomi, Joana & Soares, Rodrigo R. & Assunã‡Ãƒo, Juliano J., 2012. "Institutional Development and Colonial Heritage within Brazil," The Journal of Economic History, Cambridge University Press, vol. 72(2), pages 393-422, May.
    5. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    6. Ortega, Antonio César & Jesus, Clesio Marcelino, 2011. "Território Café do Cerrado: transformações na estrutura produtiva e seus impactos sobre o pessoal ocupado," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 49(3), pages 1-30, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marek Vochozka & Svatopluk Janek & Zuzana Rowland, 2023. "Coffee as an Identifier of Inflation in Selected US Agglomerations," Forecasting, MDPI, vol. 5(1), pages 1-17, January.
    2. Joseph Rajabu Kangile & Reuben M. J. Kadigi & Charles Peter Mgeni & Bernadetha Pantaleo Munishi & Japhet Kashaigili & Pantaleo K. T. Munishi, 2021. "Dynamics of Coffee Certifications in Producer Countries: Re-Examining the Tanzanian Status, Challenges and Impacts on Livelihoods and Environmental Conservation," Agriculture, MDPI, vol. 11(10), pages 1-18, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emeka Nkoro & Aham Kelvin Uko, 2016. "Exchange Rate and Inflation Volatility and Stock Prices Volatility: Evidence from Nigeria, 1986-2012," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 6(6), pages 1-4.
    2. Guirong Li & Jiajia Xu & Liying Li & Zhaolei Shi & Hongmei Yi & James Chu & Elena Kardanova & Yanyan Li & Prashant Loyalka & Scott Rozelle, 2020. "The Impacts of Highly Resourced Vocational Schools on Student Outcomes in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(6), pages 125-150, November.
    3. Czujack, Corinna & Flôres Junior, Renato Galvão & Ginsburgh, Victor, 1995. "On long-run price comovements between paintings and prints," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 269, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    4. Sotirios Varelas, 2022. "Virtual Immersive Platforms as a Strategic Innovative Destination Marketing Tool in the COVID-19 Era," Sustainability, MDPI, vol. 14(19), pages 1-15, October.
    5. Loperfido, Nicola, 2010. "A note on marginal and conditional independence," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1695-1699, December.
    6. Hyunsoo Kang, 2022. "Impacts of Income Inequality and Economic Growth on CO 2 Emissions: Comparing the Gini Coefficient and the Top Income Share in OECD Countries," Energies, MDPI, vol. 15(19), pages 1-15, September.
    7. KAMKOUM, Arnaud Cedric, 2023. "The Federal Reserve’s Response to the Global Financial Crisis and its Effects: An Interrupted Time-Series Analysis of the Impact of its Quantitative Easing Programs," Thesis Commons d7pvg, Center for Open Science.
    8. Bierens, H.J. & Broersma, L., 1991. "The relation between unemployment and interest rate : some international evidence," Serie Research Memoranda 0112, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    9. Zamani, Mehrzad, 2007. "Energy consumption and economic activities in Iran," Energy Economics, Elsevier, vol. 29(6), pages 1135-1140, November.
    10. Jumah, Adusei & Kunst, Robert M., 2001. "The Effects of Exchange-Rate Exposures on Equity Asset Markets," Economics Series 94, Institute for Advanced Studies.
    11. Muhammad Shafiullah & Ravinthirakumaran Navaratnam, 2016. "Do Bangladesh and Sri Lanka Enjoy Export-Led Growth? A Comparison of Two Small South Asian Economies," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 17(1), pages 114-132, March.
    12. Portes, Richard & Santorum, Anita, 1987. "Money and the consumption goods market in China," Journal of Comparative Economics, Elsevier, vol. 11(3), pages 354-371, September.
    13. Alberto Fuertes & Simón Sosvilla-Rivero, 2019. "“Forecasting emerging market currencies: Are inflation expectations useful?”," IREA Working Papers 201918, University of Barcelona, Research Institute of Applied Economics, revised Oct 2019.
    14. Diana Ricciulli-Marín, 2020. "The Fiscal Cost of Conflict: Evidence from La Violencia in Colombia," Cuadernos de Historia Económica 53, Banco de la Republica de Colombia.
    15. Wesam Salah Alaloul & Muhammad Ali Musarat & Muhammad Babar Ali Rabbani & Qaiser Iqbal & Ahsen Maqsoom & Waqas Farooq, 2021. "Construction Sector Contribution to Economic Stability: Malaysian GDP Distribution," Sustainability, MDPI, vol. 13(9), pages 1-26, April.
    16. Xiaojie Xu, 2017. "The rolling causal structure between the Chinese stock index and futures," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(4), pages 491-509, November.
    17. Hany Eldemerdash & Hugh Metcalf & Sara Maioli, 2014. "Twin deficits: new evidence from a developing (oil vs. non-oil) countries’ perspective," Empirical Economics, Springer, vol. 47(3), pages 825-851, November.
    18. Olivier Damette & Stéphane Goutte, 2021. "Weather, Pollution, and Covid-19 Spread: A Time Series and Wavelet Reassessment," Springer Books, in: Fateh Belaïd & Anna Cretì (ed.), Energy Transition, Climate Change, and COVID-19, pages 95-106, Springer.
    19. Ibrahim Ari & Muammer Koc, 2018. "Sustainable Financing for Sustainable Development: Understanding the Interrelations between Public Investment and Sovereign Debt," Sustainability, MDPI, vol. 10(11), pages 1-25, October.
    20. H. Gonca DÝLER & F.Çiðdem TARHAN, 2015. "The Relationship Between Current Account Deficit Budget Deficit: A Research On Turkey," Eurasian Business & Economics Journal, Eurasian Academy Of Sciences, vol. 2(2), pages 24-36, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0219742. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.