IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/3634.html
   My bibliography  Save this paper

Quantifying the rural-urban gradient in Latin America and the Caribbean

Author

Listed:
  • Chomitz, Kenneth M.
  • Buys, Piet
  • Thomas, Timothy S.

Abstract

This paper addresses the deceptively simple question: What is the rural population of Latin America and the Caribbean (LAC)? It argues that rurality is a gradient, not a dichotomy, and nominates two dimensions to that gradient: population density and remoteness from large metropolitan areas. It uses geographically referenced population data (from the Gridded Population of the World, version 3) to tabulate the distribution of populations in Latin America and in individual countries by population density and by remoteness. It finds that the popular perception of Latin America as a 75 percent urban continent is misleading. Official census criteria, though inconsistent between countries, tend to classify as"urban"small settlements of less than 2,000 people. Many of these settlements are however embedded in an agriculturally based countryside. The paper finds that about 13 percent of Latin America populations live at ultra-low densities of less than 20 per square kilometer. Essentially these people are more than an hour's distance from a large city, and more than half live more than four hours'distance. A quarter of the population of Latin America is estimated to live at densities below 50, again essentially all of them more than an hour's distance from a large city. Almost half (46 pecent) of Latin America live at population densities below 150 (a conventional threshold for urban areas), and more than 90 percent of this group is at least an hour's distance from a city; about one-third of them (18 percent of the total) are more than four hours distance from a large city.

Suggested Citation

  • Chomitz, Kenneth M. & Buys, Piet & Thomas, Timothy S., 2005. "Quantifying the rural-urban gradient in Latin America and the Caribbean," Policy Research Working Paper Series 3634, The World Bank.
  • Handle: RePEc:wbk:wbrwps:3634
    as

    Download full text from publisher

    File URL: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2005/06/14/000016406_20050614122820/Rendered/PDF/wps3634.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chomitz, Kenneth M & Gray, David A, 1996. "Roads, Land Use, and Deforestation: A Spatial Model Applied to Belize," World Bank Economic Review, World Bank Group, vol. 10(3), pages 487-512, 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. Nga Thi Viet Nguyen & Felipe F. Dizon, . "The Geography of Welfare in Benin, Burkina Faso, Côte d'Ivoire, and Togo," World Bank Other Operational Studies, The World Bank, number 27994, September.
    2. Gustavo Anríquez & Kostas Stamoulis, 2007. "Rural Development and Poverty Reduction; Is Agriculture Still the Key?," Working Papers 07-02, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    3. Fernando Carriazo & Mónica Juliana Reyes, 2012. "Territorios funcionales: un análisis del gradiente rural-urbano para Colombia," Documentos CEDE 010016, Universidad de los Andes - CEDE.
    4. Cockx, Lara & Colen, Liesbeth & De Weerdt, Joachim, 2018. "From corn to popcorn? Urbanization and dietary change: Evidence from rural-urban migrants in Tanzania," World Development, Elsevier, vol. 110(C), pages 140-159.
    5. -, 2012. "Population, territory and sustainable development," Libros y Documentos Institucionales, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 22426 edited by Eclac.
    6. Andrés Felipe CASTRO & Natalie GOMEZ ARTEAGA & Guillermo LLINÁS & Diego Andrés MORA, 2015. "Definición de Categorías de Ruralidad," Archivos de Economía 013652, Departamento Nacional de Planeación.
    7. Uchida, Hirotsugu & Nelson, Andrew, 2010. "Agglomeration Index Towards a New Measure of Urban Concentration," WIDER Working Paper Series 029, World Institute for Development Economic Research (UNU-WIDER).
    8. Rimisp, 2008. "Investigación Aplicada de Dinámicas Territoriales Rurales en América Latina: Marco Metodológico. Versión 2," Working papers 002, Rimisp Latin American Center for Rural Development.
    9. Gustavo Anríquez & Kostas Stamoulis, 2007. "Rural development and poverty reduction: is agriculture still the key?," The Electronic Journal of Agricultural and Development Economics, Food and Agriculture Organization of the United Nations, vol. 4(1), pages 5-46.
    10. Adamowicz, Mieczysław, 2011. "Ekonomiczne Skutki Koncentracji Ludności I Działalności Gospodarczej W Różnych Skalach Geograficznych," Village and Agriculture (Wieś i Rolnictwo), Polish Academy of Sciences (IRWiR PAN), Institute of Rural and Agricultural Development, vol. 4(153).
    11. Berdegué, J. & Jara, E. & Modrego, F. & Sanclemente, X. & Schejtman, A., 2010. "Comunas Rurales de Chile," Working papers 060, Rimisp Latin American Center for Rural Development.

    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. Patarasuk, Risa, 2013. "Road network connectivity and land-cover dynamics in Lop Buri province, Thailand," Journal of Transport Geography, Elsevier, vol. 28(C), pages 111-123.
    2. Blackman, Allen, 2013. "Evaluating forest conservation policies in developing countries using remote sensing data: An introduction and practical guide," Forest Policy and Economics, Elsevier, vol. 34(C), pages 1-16.
    3. Sims, Katharine R.E., 2010. "Conservation and development: Evidence from Thai protected areas," Journal of Environmental Economics and Management, Elsevier, vol. 60(2), pages 94-114, September.
    4. O. Borodina, S. Kyryziuk, V. Yarovyi, Yu. Ermoliev, T. Ermolieva, 2016. "Modeling local land uses under the global climate change," Economy and Forecasting, Valeriy Heyets, issue 1, pages 117-128.
    5. Kere, Eric Nazindigouba & Choumert, Johanna & Combes Motel, Pascale & Combes, Jean Louis & Santoni, Olivier & Schwartz, Sonia, 2017. "Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia," Ecological Economics, Elsevier, vol. 136(C), pages 148-158.
    6. Chomitz, Kenneth M. & Thomas, Timothy S., 2001. "Geographic patterns of land use and land intensity in the Brazilian Amazon," Policy Research Working Paper Series 2687, The World Bank.
    7. Suzi Kerr & Joanna Hendy & Shuguang Liu & Alexander S. P. Pfaff, 2004. "Tropical Forest Protection, Uncertainty, and the Environmental Integrity of Carbon Mitigation Policies," Working Papers 04_03, Motu Economic and Public Policy Research.
    8. Allen Blackman & Beatriz Ávalos-Sartorio & Jeffrey Chow, 2012. "Land Cover Change in Agroforestry: Shade Coffee in El Salvador," Land Economics, University of Wisconsin Press, vol. 88(1), pages 75-101.
    9. Chakravarty, Shourish & Villoria, Nelson B., 2020. "Estimating the spatially heterogeneous elasticities of land supply to U.S. crop agriculture," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304446, Agricultural and Applied Economics Association.
    10. Azqueta, Diego & Sotelsek, Daniel, 2007. "Valuing nature: From environmental impacts to natural capital," Ecological Economics, Elsevier, vol. 63(1), pages 22-30, June.
    11. Doupe, Patrick, 2014. "The costs of error in setting reference rates for reduced deforestation," Working Papers 249497, Australian National University, Centre for Climate Economics & Policy.
    12. Alessandro De Pinto & Gerald C. Nelson, 2007. "Modelling Deforestation and Land‐Use Change: Sparse Data Environments," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 502-516, September.
    13. Nansikombi, Hellen & Fischer, Richard & Ferrer Velasco, Rubén & Lippe, Melvin & Kalaba, Felix Kanungwe & Kabwe, Gillian & Günter, Sven, 2020. "Can de facto governance influence deforestation drivers in the Zambian Miombo?," Forest Policy and Economics, Elsevier, vol. 120(C).
    14. Sonia SCHWARTZ & Jean Galbert ONGONO OLINGA & Eric Nazindigouba KERE & Pascale COMBES MOTEL & Jean-Louis COMBES & Johanna CHOUMERT & Ariane Manuela AMIN, 2014. "A spatial econometric approach to spillover effects between protected areas and deforestation in the Brazilian Amazon," Working Papers 201406, CERDI.
    15. Nelson, Gerald C. & Geoghegan, Jacqueline, 2002. "Deforestation and land use change: sparse data environments," Agricultural Economics, Blackwell, vol. 27(3), pages 201-216, November.
    16. Oltmer, K. & Nijkamp, P. & Florax, R. & Brouwer, F., 2009. "Sustainability and Agri-Environmental Policy in the European Union: A Meta-Analytic Investigation," Serie Research Memoranda 0025, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    17. Xie, Yang & Zilberman, David, 2015. "Water Storage Capacities versus Water Use Efficiency: Substitutes or Complements?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205439, Agricultural and Applied Economics Association.
    18. Gellrich, Mario & Baur, Priska & Robinson, Brett Harvey & Bebi, Peter, 2008. "Combining classification tree analyses with interviews to study why sub-alpine grasslands sometimes revert to forest: A case study from the Swiss Alps," Agricultural Systems, Elsevier, vol. 96(1-3), pages 124-138, March.
    19. Claudio Ferraz, 2015. "Explaining Agriculture Expansion and Deforestation: Evidence from the Brazilian Amazon – 1980/98," Discussion Papers 0106, Instituto de Pesquisa Econômica Aplicada - IPEA.
    20. Edward B. Barbier, 2005. "Frontier Expansion and Economic Development," Contemporary Economic Policy, Western Economic Association International, vol. 23(2), pages 286-303, April.

    More about this item

    Keywords

    Agricultural Research; Demographics; Health Indicators; Health Information&Communications Technologies;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wbk:wbrwps:3634. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/dvewbus.html .

    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: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.