IDEAS home Printed from https://ideas.repec.org/a/nov/artigo/v30y2020ispep1225-1256.html
   My bibliography  Save this article

Complexity systems and middle-income trap: the long-term roots of Latin America underdevelopment [Sistemas complexos e armadilha da renda media: as raízes de longo prazo do subdesenvolvimento latino-americano]

Author

Listed:
  • Fernanda Cimini

    (UFMG)

  • Jorge Britto

    (UFF)

  • Leonardo Costa Ribeiro

    (UFMG)

Abstract

Our intent is to reinterpret the concept of middle-income trap using the language of the complex system approach to refer to the unpredictability, non-linearity and the enormous range of possible behaviors of economic development in the long-term time series. By redefining the concept of trap in those terms, we propose to shed light on the institutional background of economic development. In order to advance our argument, we conduct a case study of Latin America, a region that has presented an unstable and non-linear economic trajectory across the 20th century. We argue that the combination between the colonial economic legacy and the political fragmentation amid the process of independence shaped the socio-economic structure and institutional capabilities for years to come, restricting the possibilities of overcoming underdevelopment.

Suggested Citation

  • Fernanda Cimini & Jorge Britto & Leonardo Costa Ribeiro, 2020. "Complexity systems and middle-income trap: the long-term roots of Latin America underdevelopment [Sistemas complexos e armadilha da renda media: as raízes de longo prazo do subdesenvolvimento latino-a," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 30(spe), pages 1225-1256, December.
  • Handle: RePEc:nov:artigo:v:30:y:2020:i:spe:p:1225-1256
    as

    Download full text from publisher

    File URL: http://www.scielo.br/pdf/neco/v30nspe/1980-5381-neco-30-spe-1225.pdf
    Download Restriction: no

    File URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-63512020000401225&lng=en&nrm=iso&tlng=en#aff1
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. -, 2019. "Latin American Economic Outlook 2019: Development in transition," Coediciones, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 44515 edited by Oecd.
    2. Leszek Balcerowicz & Andrzej Rzonca, 2015. "Puzzles of Economic Growth," World Bank Publications - Books, The World Bank Group, number 20601.
    3. Aghion, Philippe & Bircan, Cagatay, 2017. "The Middle-Income Trap from a Schumpeterian Perspective," ADB Economics Working Paper Series 521, Asian Development Bank.
    4. Jean‐Pascal Bassino & Pierre van der Eng, 2020. "Asia's ‘little divergence’ in the twentieth century: evidence from PPP‐based direct estimates of GDP per capita, 1913–69," Economic History Review, Economic History Society, vol. 73(1), pages 185-208, February.
    5. Żuk, Piotr & Savelin, Li, 2018. "Real convergence in central, eastern and south-eastern Europe," Occasional Paper Series 212, European Central Bank.
    6. Jutta Bolt & Jan Luiten Zanden, 2014. "The Maddison Project: collaborative research on historical national accounts," Economic History Review, Economic History Society, vol. 67(3), pages 627-651, August.
    7. Inklaar, Robert & de Jong, Harmen & Bolt, Jutta & van Zanden, Jan, 2018. "Rebasing 'Maddison': new income comparisons and the shape of long-run economic development," GGDC Research Memorandum GD-174, Groningen Growth and Development Centre, University of Groningen.
    8. Christopher A. Hartwell, 2017. "Understanding “Development”: Insights from Some Aspects of Complexity Theory," Homo Oeconomicus: Journal of Behavioral and Institutional Economics, Springer, vol. 34(2), pages 165-190, November.
    9. Freeman, Chris, 1995. "The 'National System of Innovation' in Historical Perspective," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 19(1), pages 5-24, February.
    10. Maria A. Arias & Yi Wen, 2016. "Relative Income Traps," Review, Federal Reserve Bank of St. Louis, vol. 98(1), pages 41-60.
    11. Leonardo Costa Ribeiro & Leonardo Gomes de Deus & Pedro Mendes Loureiro & Eduardo Da Motta Albuquerque, 2017. "Profits and Fractal Properties: Notes on Marx, Countertendencies and Simulation Models," Review of Political Economy, Taylor & Francis Journals, vol. 29(2), pages 282-306, April.
    12. Govindan, R.B. & Vjushin, Dmitry & Brenner, Stephen & Bunde, Armin & Havlin, Shlomo & Schellnhuber, Hans-Joachim, 2001. "Long-range correlations and trends in global climate models: Comparison with real data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 294(1), pages 239-248.
    13. Wing Thye Woo, 2016. "The Key Obstacles to Success in Economic Catching Up by China," RBA Annual Conference Volume (Discontinued), in: Iris Day & John Simon (ed.),Structural Change in China: Implications for Australia and the World, Reserve Bank of Australia.
    14. Costa, Rogério L. & Vasconcelos, G.L., 2003. "Long-range correlations and nonstationarity in the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 329(1), pages 231-248.
    15. R. L. Costa & G. L. Vasconcelos, 2003. "Long-range correlations and nonstationarity in the Brazilian stock market," Papers cond-mat/0302342, arXiv.org.
    16. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    17. Paus, Eva, 2014. "Latin America and the middle-income trap," Financiamiento para el Desarrollo 36816, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    18. Carlota Perez, 2010. "Technological revolutions and techno-economic paradigms," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 34(1), pages 185-202, January.
    19. Nahee Kang & Eva Paus, 2020. "The Political Economy of the Middle Income Trap: The Challenges of Advancing Innovation Capabilities in Latin America, Asia and Beyond," Journal of Development Studies, Taylor & Francis Journals, vol. 56(4), pages 651-656, April.
    20. de Sales, J.A. & Martins, M.L. & Moreira, J.G., 1997. "One-dimensional cellular automata characterization by the roughness exponent," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 245(3), pages 461-471.
    21. Ivanova, K & Ausloos, M, 1999. "Application of the detrended fluctuation analysis (DFA) method for describing cloud breaking," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 274(1), pages 349-354.
    Full references (including those not matched with items on IDEAS)

    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. Santos, J.V.C. & Moreira, D.M. & Moret, M.A. & Nascimento, E.G.S., 2019. "Analysis of long-range correlations of wind speed in different regions of Bahia and the Abrolhos Archipelago, Brazil," Energy, Elsevier, vol. 167(C), pages 680-687.
    2. Marco Gallegati, 2019. "A system for dating long wave phases in economic development," Journal of Evolutionary Economics, Springer, vol. 29(3), pages 803-822, July.
    3. Reis, Anabela & Heitor, Manuel & Amaral, Miguel & Mendonça, Joana, 2016. "Revisiting industrial policy: Lessons learned from the establishment of an automotive OEM in Portugal," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 195-205.
    4. Araneda, Axel A. & Bertschinger, Nils, 2021. "The sub-fractional CEV model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    5. Teplykh, Grigorii & Galimardanov, Amal, 2017. "Modeling of innovative investment in Russian regions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 104-125.
    6. Paulo Ferreira & Éder J.A.L. Pereira & Hernane B.B. Pereira, 2020. "From Big Data to Econophysics and Its Use to Explain Complex Phenomena," JRFM, MDPI, vol. 13(7), pages 1-10, July.
    7. Narcisse Cha'Ngom & Christoph Deuster & Frédéric Docquier & Joël Machado, 2023. "Selective Migration and Economic Development: A Generalized Approach," LISER Working Paper Series 2023-06, Luxembourg Institute of Socio-Economic Research (LISER).
    8. Kokko, Ari & Tingvall, Patrik Gustavsson & Videnord, Josefin, 2015. "The growth effects of R&D spending in the EU: A meta-analysis," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-26.
    9. Glawe, Linda & Wagner, Helmut, 2020. "China in the middle-income trap?," China Economic Review, Elsevier, vol. 60(C).
    10. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    11. Hull, Matthew & McGroarty, Frank, 2014. "Do emerging markets become more efficient as they develop? Long memory persistence in equity indices," Emerging Markets Review, Elsevier, vol. 18(C), pages 45-61.
    12. Attila Havas, 2016. "Social and Business Innovations: Are Common Measurement Approaches Possible?," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 10(2 (eng)), pages 58-80.
    13. Onali, Enrico & Goddard, John, 2011. "Are European equity markets efficient? New evidence from fractal analysis," International Review of Financial Analysis, Elsevier, vol. 20(2), pages 59-67, April.
    14. Jorge Nogueira de Paiva Britto & Leonardo Costa Ribeiro & Eduardo da Motta e Albuquerque, 2021. "Global systems of innovation: introductory notes on a new layer and a new hierarchy in innovation systems," Innovation and Development, Taylor & Francis Journals, vol. 11(2-3), pages 259-279, September.
    15. Romijn, Henny & Albaladejo, Manuel, 2002. "Determinants of innovation capability in small electronics and software firms in southeast England," Research Policy, Elsevier, vol. 31(7), pages 1053-1067, September.
    16. Domino, Krzysztof, 2012. "The use of the Hurst exponent to investigate the global maximum of the Warsaw Stock Exchange WIG20 index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 156-169.
    17. Rinaldo Evangelista, 2018. "Technology and Economic Development: The Schumpeterian Legacy," Review of Radical Political Economics, Union for Radical Political Economics, vol. 50(1), pages 136-153, March.
    18. Lin, Aijing & Ma, Hui & Shang, Pengjian, 2015. "The scaling properties of stock markets based on modified multiscale multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 525-537.
    19. Dufera, Tamirat Temesgen, 2024. "Fractional Brownian motion in option pricing and dynamic delta hedging: Experimental simulations," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
    20. Onali, Enrico & Goddard, John, 2009. "Unifractality and multifractality in the Italian stock market," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 154-163, September.

    More about this item

    Keywords

    middle-income trap; complex system; institutions; Latin America; underdevelopment;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • B15 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Historical; Institutional; Evolutionary
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:nov:artigo:v:30:y:2020:i:spe:p:1225-1256. 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: Lucas Resende de Carvalho (email available below). General contact details of provider: https://edirc.repec.org/data/fufmgbr.html .

    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.