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Why Is Chiapas Poor?

Author

Listed:
  • Levy, Dan

    (Harvard University)

  • Hausmann, Ricardo

    (Harvard University)

  • Santos, Miguel Angel

    (Harvard University)

  • Espinoza, Luis

    (Harvard University)

  • Flores, Miguel

    (Harvard University)

Abstract

No matter which way you look at it, Chiapas is the most backward of any state in Mexico. Its per capita income is the lowest of the 32 federal entities, at barely 40% of the national median (Figure 1). Its growth rate for the decade 2003-2013 was also the lowest (0.2%),1 causing the income gap separating Chiapas from the national average to increase from 53% to 60%. That is to say that today the average income for a worker in Mexico is two and a half times greater than the average in Chiapas. The two next poorest states, Oaxaca and Guerrero, are 25% and 30% above Chiapas.2 According to the Instituto Nacional de Estadistica y Geografia de Mexico (INEGI, National Institute of Statistics and Geography), Chiapas is also the state with the highest poverty rate (74.7%) as well as extreme poverty (46.7%).3 These major differences in income levels among Mexican federal entities are reproduced as in a fractal within Chiapas. In fact, while the wealthiest entity (Mexico City) is wealthier than the poorest (Chiapas) by a factor of six, the difference within Chiapas between the wealthiest municipality (Tuxtla Gutierrez) and the poorest (Aldama and Mitontic) is by a factor greater than eight.4 As there are different "Mexicos" within Mexico,5 in Chiapas there are also different sorts of Chiapas (Figure 2). Income per capita in Tuxtla Gutierrez, to the right of the distribution, is five standard deviations above the state average. Next comes a series of intermediate cities, San Cristobal de las Casas, Comitan de Dominguez, Tapachula, and Reforma, between two and a half to four standard deviations above the average. The remaining municipalities of Chiapas follow (122 in all), clustered to the far left of the distribution. In addition, both the statistics available at the town level and our visits to various municipalities in Chiapas seem to indicate that significant differences also exist within these municipalities. From this vantage point, questions as to why Chiapas is poor, or what explains its significant backwardness compared to other areas of Mexico, become much more complex. Why do some regions in Chiapas have high income levels, while other regions remain stagnant, fully dependent on federal transfers and deprived from the benefits of modern life? 1 This is the non-oil gross domestic product growth rate reported by INEGI, considered to be more representative of the productive spectrum. In any case, the overall rate of growth in Chiapas (-0.2%) was also the lowest amongst all Mexican entities for the decade. 2 Refers to non-oil GDP; in general terms, Guerrero and Oaxaca are 19% and 16% above Chiapas. 3 Growth figures refer to the decade 2003-2013, poverty figures are those published by INEGI for 2012. 4 Comparisons of Chiapas municipalities are made based on the data from the 10% sample of the 2010 Population Census, which is representative at the state level. 5 This is a reference to the report, A tale of two Mexicos: Growth and prosperity in a two-speed economy, McKinsey Global Institute (2014).

Suggested Citation

  • Levy, Dan & Hausmann, Ricardo & Santos, Miguel Angel & Espinoza, Luis & Flores, Miguel, 2015. "Why Is Chiapas Poor?," Working Paper Series rwp16-049, Harvard University, John F. Kennedy School of Government.
  • Handle: RePEc:ecl:harjfk:rwp16-049
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    Other versions of this item:

    • Dan Levy & Ricardo Hausmann & Miguel Angel Santos & Luis Espinoza & Miguel Flores, 2015. "Why is Chiapas Poor?," CID Working Papers 300, Center for International Development at Harvard University.

    References listed on IDEAS

    as
    1. Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," Papers 0909.3890, arXiv.org.
    2. Cazzuffi, Chiara & Pereira-López, Mariana & Soloaga, Isidro, 2017. "Local poverty reduction in Chile and Mexico: The role of food manufacturing growth," Food Policy, Elsevier, vol. 68(C), pages 160-185.
    3. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    4. Hausmann, Ricardo & Hidalgo, Cesar, 2014. "The Atlas of Economic Complexity: Mapping Paths to Prosperity," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262525429, April.
    5. Gustavo Crespi & Eduardo Fernández-Arias & Ernesto Stein (ed.), 2014. "Rethinking Productive Development," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-39399-9, December.
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    Cited by:

    1. Paul Walter & Marcus Groß & Timo Schmid & Nikos Tzavidis, 2021. "Domain prediction with grouped income data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1501-1523, October.
    2. Hausmann, Ricardo & Pietrobelli, Carlo & Santos, Miguel Angel, 2021. "Place-specific determinants of income gaps: New sub-national evidence from Mexico," Journal of Business Research, Elsevier, vol. 131(C), pages 782-792.

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