Geographic Models of Socioeconomic and Cognitive Development: A Test in Peru

Authors

  • Federico R. León Universidad San Ignacio de Loyola

DOI:

https://doi.org/10.30564/jgr.v2i3.1329

Abstract

Few explanations of geography’s influence on economic and cognitive development have been proposed. This study was purported to test three development models based on absolute latitude (AL) and additionally addressed altitude above sea level and the particular case of the Amazonía in Peru. Information on 1468 Peruvian districts was obtained from Peru’s Ministry of Education and United Nations Development Program’s Human Development Report. The data were best fitted by ad hoc path models which combined AL with altitude and took different forms in the Amazonía and remainder of Peru. AL + altitude explained education + health, and income, through cognitive ability in the Amazonía. In the remainder of Peru, AL – altitude explained income and cognitive ability through education + health, with an additional, weak but significant, direct AL → cognitive ability path. The findings add to evidence suggesting the mediation of UV radiation in the relationship between latitude and development.

Keywords:

Absolute latitude, Altitude Socioeconomic development, Cognitive development, Peru

References

[1] Acemoglu, D., Johnson, S., & Robinson, J. A.. The colonial origins of comparative development: An empirical investigation. NBER Working Paper No. 7771, 2000.

[2] Andersen, T.B., Dalgaard, C-J., & Selaya, P.. Climate and the emergence of global income differences. Review of Economic Studies, 2016, 83: 1334-1363.

[3] Bakhiet, A. F. A., & Lynn, R.. Regional differences in intelligence in Sudan. Intelligence, 2015, 50: 150-152.

[4] Beraldo, S.. Do differences in IQ predict Italian north-south differences in income? A methodological critique to Lynn. Intelligence,2010, 38: 456-461.

[5] Bhattacharyya, S.. Root causes of African underdevelopment. Journal of African Economies, 2009, 18: 745-780.

[6] Bjerkedal, T., Kristensen, P., Skjeret, G. A., & Brevik, J. I.. Intelligence test scores and birth order among young Norwegian men (conscripts) analyzed within and between families. Intelligence, 2007, 35: 503-514.

[7] Bleaney, M., & Dimico, A.. Geographical influences on long-run development. Journal of African Economies, 2010, 19: 635-656.

[8] Bloom, D., & Sachs, J. D.. Geography, demography, and economic growth in Africa. Brookings Papers on Economic Activity, 1998, 2.

[9] Booth, A. L., & Kee, H. J.. Birth order matters: The effect of family size and birth order on educational attainment. Journal of Population Economics, 2009, 22: 367–397.

[10] Burke, M., Hsiang, S. M., & Miguel, E.. Global non-linear effect of temperature on economic production. Nature, 2015, 527: 235-239.

[11] Cáceres, C., Mendoza, W., Yon, C., Rosasco, A., & Cabezudo, C.. SIDA en el Perú: Imágenes de diversidad, situación y perspectivas de la epidemia en Chiclayo, Cuzco e Iquitos. Lima: UPCH y REDES Jóvenes, 1998.

[12] Carstensen, K., & Gundlach, E.. The primacy of institutions reconsidered: direct income effects of malaria prevalence.” The World Bank Economic Review, 2006, 20: 309-339.

[13] Cinyabuguma, M. M., & Putterman, L.. Sub-Saharan growth surprises: being heterogeneous, inland and close to the Equator doesn’t slow growth within Africa. Journal of African Economies, 2011, 20: 217-262.

[14] Comin, D., Easterly, W., & Gong, E.. Was the wealth of nations determined in 1000 B.C.? Working Paper No. 09-052, Harvard Business School, 2007.

[15] Démurger, S., Sachs, J. D., Woo, W. T., Bao, S., Chang, G., & Mellinger, A.. Geography, economic policy, and regional development in China. Asian Economic Papers, 2002, 1: 146-197.

[16] DeYoung, C. G., Quilty, L. C, & Peterson, J. B.. Between facets and domains: 10 aspects of the Big Five. Journal of Personality and Social Psychology, 2007, 93: 880-896.

[17] Dell, M., Jones, B. F., & Olken, B. A.. Temperature shocks and economic growth: Evidence from the last half century. American Economic Journal: Macroeconomics, 2012, 4(3): 66-75.

[18] Easterly, W., & Levine, R.. Tropics, germs, and crops: how endowments influence economic development. NBER Working Paper 9106, 2002.

[19] ENDES. Encuesta Demográfica y de Salud Familiar 2011. Lima: INEI, 2012.

[20] Engelsen, O., Brustad, M., Aksnes, L., & Lund, E.. Daily duration of Vitamin D synthesis in human skin with relation to latitude, total ozone, altitude, ground cover, aerosols and cloud thickness.” Photochemistry and Photobiology, 2007, 81: 1287-1290.

[21] Eppig, C., Fincher, C. L., &Thornhill, R.. Parasite prevalence and the distribution of intelligence among the states of the USA. Intelligence, 2011, 39: 155-160.

[22] Gallup, J. L.. Geography and socioeconomic development. Background paper examining the state of the Andean Region for the Andean Competitiveness Project, 2000. http://www.cid.harvard.edu/

[23] Gallup, J. L., Gaviria, A., & Lora, E.. Is Geography Destiny? Lessons from Latin America. Stanford, CA: Stanford University Press, 2003.

[24] Gallup, J. L., Sachs, J. D., & Mellinger, A.. Geography and economic development. International Regional Science Review, 1999, 22: 179-232.

[25] Gonzales, G. F., & Ortíz, I.. Age at menarche at sea level and high altitude in Peruvian women of different ethnic background.” American Journal of Human Biology, 1994, 6: 674-640.

[26] Gonzales, G. F., Tapia, V., Gasco, M., & Gonzales-Castañeda, C.. Serum testosterone levels and source of chronic mountain sickness in Peruvian men natives at 4340 m. Andrologia, 2011, 43: 189-195.

[27] Gonzales, G. F., & Villena, A.. Age at menopause in central Andean Peruvian women. Menopause, 1997, 4: 32-38.

[28] Grigoriev, A., Lapteva, E., & Lynn, R.. Regional differences in intelligence, infant mortality, stature and fertility in European Russia in the late nineteen century. Intelligence, 2016, 55: 34-37.

[29] Guiso, L., Sapienza, P., & Zingales, L.. Long term persistence. NBER Working Paper No. 14278, 2008.

[30] Hall, R. E., & Jones, C. I.. Why do some countries produce so much more output per worker than other countries? Quarterly Journal of Economics, 1999, 114: 83-116,

[31] Heal, G., & Park, J.. Feeling the heat: Temperature, physiology, and the wealth of nations. NBER Working Paper No. 19725, 2013.

[32] Jones, G., Strungnell, S. A., & DeLuca, H. F.. Current understanding of the molecular actions of vitamin D. Physiology Review, 1998, 78: 1193–1231.

[33] Kamarck, A. M.. The tropics and economic development. Baltimore, MD: Johns Hopkins University Press,1976.

[34] Kennedy, G., Spence, V. A., McLaren, M., Hill, A., Underwood, C., & Belch, J. J. F.. Oxidative stress levels are raised in chronic fatigue syndrome and are associated with clinical symptoms. Free Radical Biology and Medicine, 2005, 39: 584-589.

[35] Kura, K.. Japanese north-south gradient in IQ predicts differences in stature, skin color, income, and homicide rate. Intelligence, 2013, 41: 512–516.

[36] Latitude and longitude of a point, 2016. Retrieved from: https://www.itouchmapcom/latlong.html

[37] León, F.R.. El eje fecundatorio norte-sur del Perú: una interpretación psicológica. Revista de Psicología, 1984, 2: 85-111.

[38] León, F. R. ed.. Psicología y realidad peruana: el aporte objetivo. Lima: Mosca Azul Editores, 1986.

[39] León, F. R.. Las drogas y las madres sureñas y norteñas: el eje psicoactivo norte-sur del Perú. Socialismo y Participación, 1987, 37: 123-129.

[40] León, F. R.. Latitud sur y control económico del hogar por la mujer peruana. Revista de Psicología, 2011, 29: 361-388.

[41] León, F. R.. Una teoría psicobiogeográfica del poder doméstico de la mujer. Revista Peruana de Psicología y Trabajo Social, 2012a, 1: 29-43.

[42] León, F. R.. Ajuste de la violencia familiar peruana a la teoría psicobiogeagráfica de la salud mental. Revista de Psicología, 2012b, 30: 341-369.

[43] León, F. R.. The latitudinal tilts of wealth and education in Peru: Testing them, explaining them, and reflecting on them. Economía, 2012c, 35: 60-102.

[44] León, F. R.. Efectos de la latitud en el logro escolar: ¿Evolucionarios o vía la radiación ultravioleta contemporánea? En D. Jáuregui, R. León, & M. A. Rodríguez (eds.), Homenaje a Reynaldo Alarcón, Lima: Editorial Universitaria URP, 2015a: 473-496..

[45] León, F. R.. The east-to-west decay of math and reading scores in the United States: A prediction from UVB radiation theory. Personality and Individual Differences, 2015b, 86: 287-290.

[46] León, F. R.. Race vis-à-vis latitude: Their influence on infectious diseases, complex cognitive ability, and income per capita. Mankind Quarterly, 2016, 56: 411-419.

[47] León F.R.. Diminished UV radiation enhances national cognitive ability, wealth, and institutions through health and education. Personality and Individual Differences, 2018a, 120: 52-57.

[48] León F.R.. Boundary conditions and new directions for UVR Theory: Reply to comments. Mankind Quarterly, 2018b, 58: 621-649.

[49] León, F.R., & Antonelli-Ponti, M.. UV radiation theory and the Lynn (2010) Italian debate. Mankind Quarterly, 2018, 57: 621-649.

[50] León, F. R., & Avilés, E.. How altitude above sea level affects Intelligence. Intelligence, 2016, 58: 33-41.

[51] León, F. R., & Burga León, A.. Why complex cognitive ability increases with absolute latitude. Intelligence, 2014a, 46: 291-299.

[52] León, F.R., & Burga León, A. 2014b, Data base: http://investigacion.usil.pe/ojs/index.php?journal=repAcademic&page=index

[53] León, F. R., & Burga-León, A.. How geography influences complex cognitive ability. Intelligence, 2015, 50: 221-227.

[54] León, F.R., & Burga-León, A.. UV radiation associates with state income through complex cognitive ability in the USA. Journal of Individual Differences, 2018, 39: 18-26.

[55] León, F.R., & Hassall, C.. UV radiation is associated with latitudinal trends in cognitive ability of White children in the USA. Journal of Individual Differences, 2017, 38: 155-162.

[56] Lynn, R.. The evolution of race differences in intelligence. Mankind Quarterly, 1991, 32: 99-173.

[57] Lynn, R.. The global bell curve: Race, IQ, and inequality worldwide. Augusta: GA: Wahington Summit Publishers, 2008.

[58] Lynn, R.. In Italy, north-south differences in IQ predict differences in income, education, infant mortality, stature, and literacy. Intelligence, 2010, 38: 93-100.

[59] Lynn, R.. North–south differences in Spain in IQ, educational attainment, per capita income, literacy, life expectancy and employment. Mankind Quarterly, 2012, 52: 265–291.

[60] Lynn, R., Sakar, C., & Cheng, H.. Regional differences in intelligence, income and other socioeconomic variables in Turkey. Intelligence, 2015, 50: 144-149.

[61] Lynn, R., & Vanhanen, T.. IQ and the wealth of nations. Westport, CT: Praeger, 2002.

[62] Lynn, R., & Vanhanen, T.. IQ and Global Inequality. Athens, GA: Washington Summit Publishers, 2006.

[63] Lynn, R., & Vanhanen, T.. National IQs: A review of their educational, cognitive, economic, political, demographic, sociological, epidemiological, geographic and climactic correlates. Intelligence, 2012, 40: 226+234.

[64] Lynn, R., & Yadav, P.. Differences in cognitive ability, per capita income, infant mortality, fertility and latitude across states of India. Intelligence, 2015, 49: 179-185.

[65] Maccarthur, J. W., & Sachs, J. D.. Institutions and geography: comment on Acemoglu, Johnson and Robinson (2000). NBER Working Paper No. 8114, 2001.

[66] Mani, A., Mullainathan, S., Shafir, E & Zhao, J.. Poverty impedes cognitive function. Science, 2013, 341: 976-980.

[67] Masters, W. A., & Mcmillan, M. S.. Climate and scale in economic growth. The Centre for the Study of African Economies Working Paper Series No. 123, 2000.

[68] Meng, J. Y., Zhang, C. Y., Zhu, F., Wang, X. P., & Lei, C. L.. Ultraviolet light-induced oxidative stress: effects on antioxidant response of Helicoverpa armigera adults. Journal of Insect Physiology, 2009, 55: 588-592.

[69] Nisbett, R. E., Aronson, J., Blair, C., Dickens, W., Flynn, J., Halpern, D. F., & Turkheimer, E.. Intelligence: New findings and theoretical developments. American Psychologist, 2012, 67: 130-159.

[70] Nordhaus, W. D., & Chen, X.. Geography: graphics and economics. The B. E. Journal of Economic Analysis & Policy, 2009, 2(1).

[71] Nunn, N.. The importance of history for economic development. Annual Review of Economics, 2009, 1: 65-92.

[72] Olsson, O., & Hibbs Jr., D. A.. Biogeography and long-run economic development. European Economic Review, 2005, 49: 909–938.

[73] Paris, M., Gotuzzo, E., Goyzuetas, G., Aramburú, J., Cáceres, C., Crawford, D., et al.. Motorcycle taxi drivers and sexually transmitted infecions in a Peruvian Amazon city. Sexually Transmitted Diseases, 2001, 28: 11–13.

[74] Pesta, B. J., & Posnanski, P. J.. Only in America: Cold Winters theory, race, IQ and well-being. Intelligence, 2014, 46: 271-274.

[75] PNUD. Informe de Desarrollo Humano, Perú 2009. Lima: Programa de las Naciones Unidas para el Desarrollo, 2010.

[76] PNUD Brasil. Relatório de Desenvolvimiento Humano: Racismo, Pobreza e Violéncia. Brasilia: Programa das Nacoes Unidas para o Desenvolvimiento, 2005.

[77] Putterman, L., & Weil, D. N.. Post-1500 population flows and the long-run determinants of economic growth and inequality. The Quarterly Journal of Economics, 2010, 125: 1627-1682.

[78] Ram, R.. Tropics and economic development: An empirical investigation. World Development, 1997, 25: 1443-1452.

[79] Ram, R.. Tropics and income: A longitudinal study of the U. S. states. Review of Income and Wealth, 1999, 45: 373-378.

[80] Rindermann, H.. The g-factor of international cognitive ability comparisons: The homogeneity of results in PISA, TIMSS, PIRLS, and IQ-tests across nations. European Journal of Personality, 2007, 21: 667-706.

[81] Rindermann, H.. Intellectual classes, technological progress and economic development: The rise of cognitive capitalism. Personality and Individual Differences, 2012, 53: 108-113.

[82] Rindermann, H., & Thompson, J.. Cognitive capitalism: The effect of cognitive ability on wealth as mediated through scientific achievement and economic freedom. Psychological Science, 2011, 22: 754-763.

[83] Rindermann, H., Kodila-Tedika, O., & Christainsen, G.. Cognitive capital, good governance, and the wealth of nations. Intelligence, 2015, 51: 98-108.

[84] Rindermann, H., Woodley, M. A., & Stratford, J.. Haplogroups as evolutionary markers of cognitive ability. Intelligence, 2012, 40: 362-375.

[85] Rodrik, D., Subramanian, A., & Trebbi, F.. Institutions rule: the primacy of institutions over geography and integration in economic development. Journal of Economic Growth, 2004, 9: 131–165.

[86] Ryan, J. J., Bartels, J. M., & Townsend, J. M.. Association between climate and IQ in the United States of America. Psychological Reports, 2010, 107: 251-254

[87] Sala-i Martin, X. X.. I just ran two million regressions. The American Economic Review, 1997, 87: 178-183.

[88] Sachs, J. D.. Institutions don’t rule: Direct effects of geography on per capita income. NBER Working Paper No. 4490, 2003.

[89] Sachs, J. D., & Melaney, P.. The economic and social burden of malaria. Nature, 2002, 415: 680-685.

[90] Sachs, J. D.. Tropical underdevelopment. Center for International Development, Harvard University, Working Paper No. 57, 2000.

[91] Schreiber, J. B., Stage, F. K., King, J., Nora, A., & Barlow, E. A.. Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 2006, 99: 324-337.

[92] Templer, D. L.. The comparison of mean IQ in Muslim and non-Muslim countries.Mankind Quarterly, L, 2010: 188-209.

[93] Wang, J., Ge, Y., Ning, H., & Wang, S.. Effects of high fluoride and low iodine on oxidative stress and antioxidant defense of the brain in offspring rats. Fluoride, 2004, 37: 264-270.

[94] Zajonc, R. B., & Mullally, P. R.. Birth order: Reconciling conflicting effects. American Psychologist, 1997, 52: 685-699.

[95] Zavaleta, C., Fernández, C., Konda, K., Valderrama, Y., Vermund, S. H., & Gotuzzo, E.. Short report: High prevalence of HIV and syphilis in a remote native community of the Peruvian Amazon. American Journal of Tropical Medicine Hygiene, 2009, 76: 703–705.

Downloads

How to Cite

León, F. R. (2019). Geographic Models of Socioeconomic and Cognitive Development: A Test in Peru. Journal of Geographical Research, 2(3), 12–22. https://doi.org/10.30564/jgr.v2i3.1329

Issue

Article Type

Article