Human Capital Constraints, Spatial Dependence, and Regionalization in Bolivia: A Spatial Clustering Approach

Mendez, Carlos and Gonzales, Erick (2020): Human Capital Constraints, Spatial Dependence, and Regionalization in Bolivia: A Spatial Clustering Approach.

Abstract

Using a novel municipal-level dataset and spatial clustering methods, this article studies the distribution of human capital constraints across 339 municipalities in Bolivia. In particular, the spatial distribution of five human capital constraints are evaluated: chronic malnutrition in children, non-Spanish speaking population, secondary dropout rates of males, secondary dropout rates of females, and the inequality of years of education. Through the lens of both spatial dependence and regionalization frameworks, the municipalities of Bolivia are endogenously classified according to both their level of human capital constraints and their locational similarity. Results from the spatial dependence analysis indicate the location of hotspots (high-value clusters), coldspots (low-value clusters), and spatial outliers for each of the previously listed constraints. Results from the regionalization analysis indicate that Bolivia can be regionalized into six to seven geographical locations that face similar constraints in the accumulation of human capital. The article concludes by highlighting the usefulness of spatial data analysis for designing and monitoring human development goals.

• Item Type: MPRA Paper
• Language: English
• Keywords: Human capital, Spatial dependence, Regionalization, Cluster analysis, Bolivia
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C38 - Classification Methods ; Cluster Analysis ; Principal Components ; Factor Models; J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J24 - Human Capital ; Skills ; Occupational Choice ; Labor Productivity; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R10 - General

References

Acosta-Ormaechea S, Morozumi A (2017) Public Spending Reallocations and Economic Growth Across Different Income Levels. Economic Inquiry 55(1):98–114, DOI 10.1111/ecin.12382

Aidt TS, Dutta J (2007) Policy myopia and economic growth. European Journal of Political Economy 23(3):734–753, DOI 10.1016/j.ejpoleco.2006.05.002

Anselin L (1995) Local indicators of spatial association—lisa. Geographical analysis 27(2):93–115 Anselin L (2017) Cluster Analysis (3): Spatially Constrained Clustering Methods

Anselin L, Sridharan S, Gholston S (2007) Using exploratory spatial data analysis to leverage social indicator databases: the discovery of interesting patterns. Social Indicators Research 82(2):287–309

Arribas-Bel D, Schmidt CR (2013) Self-Organizing Maps and the US Urban Spatial Structure. Environment and Planning B: Planning and Design 40(2):362–371

Assuncao RM, Neves MC, Camara G, da Costa Freitas C (2006) Efficient regionalization tech- niques for socio-economic geographical units using minimum spanning trees. International Journal of Geographical Information Science 20(7):797–811

Atolia M, Li BG, Marto R, Melina G (2019) Investing in Public Infrastructure: Roads or Schools? Macroeconomic Dynamics pp 1–30, DOI 10.1017/S1365100519000907 Barrenechea Vargas MH (2004) A spatial study about municipal poverty in Bolivia Barro RJ (2001) Human Capital and Growth. American Economic Review 91(2):12–17

Becker GS, Murphy KM, Tamura R (1990) Human Capital , Fertility , and Economic Growth. Journal of Political Economy 98(5):12–37

Bivand RS, Wong DW (2018) Comparing implementations of global and local indicators of spa- tial association. Test 27(3):716–748, DOI 10.1007/s11749-018-0599-x, URL https://doi.org/ 10.1007/s11749-018-0599-x

Bonfiglioli A, Gancia G (2013) Uncertainty, Electoral Incentives and Political Myopia. Economic Journal 123(568):373–400, DOI 10.1111/ecoj.12029

Bose N, Haque ME, Osborn DR (2007) Public Expenditure and Economic Growth: A Disaggre- gated Analysis for Developing Countries. The Manchester School 75(5):533–556

Bureau of International Labor Affairs (2018) 2014 Findings on the Worst Forms of Child Labor. Tech. rep., United States Department of Labor, Washington D.C.

Canavire-Bacarreza G, Duque JC, Urrego JA (2016) Moving citizens and deterring criminals : innovation in public transport facilities

Canelas C, Nin˜ o-Zarazu´ a M (2019) Schooling and Labor Market Impacts of Bolivia’s Bono Juancito Pinto Program. Population and Development Review 45(S1):155–179, DOI 10.1111/ padr.12270

Cetra´ngolo O, Curcio J, Calligaro F (2017) Evolucio´ n reciente del sector educativo en la regio´ n de Ame´rica Latina y el Caribe: los casos de Chile, Colombia y Me´xico. Tech. rep., Search Re- sults Web result with site links Economic Commission for Latin America and the Caribbean (ECLAC), Santiago

Chetty R, Hendren N, Katz LF (2016) The Effects of Exposure to Better Neighborhoods on Chil- dren: New Evidence from the Moving to Opportunity Experiment. American Economic Review 106(4):855–902, DOI 10.3386/w21156

Church R, Duque JC, Restrepo D (2020) The p-innovation ecosystems model. arXiv preprint arXiv:200805885

Cliff AD, Ord JK (1981) Spatial processes: models & applications. Taylor & Francis

Collin M, Weil DN (2020) The Effect of Increasing Human Capital Investment on Economic Growth and Poverty: A Simulation Exercise. Journal of Human Capital 14(1):43–83

Cuervo Gonzalez LM (2003) Evolucion reciente de las disparidades economicas territoriales en Amer- ica Latina: estado del arte, recomendaciones de politica y perspectivas de investigacion. Economic Commission for Latin America and the Caribbean, Santiago de Chile

Delboy M (2019) Determinants of School Attendance rate for Bolivia: A spatial econometric ap- proach

Duque J, Church R, Middleton R (2011) The p -Regions Problem. Geographical Analysis 43:104–126 Duque JC, Ramos R, Surin˜ ach J (2007) Supervised regionalization methods: A survey. Interna- tional Regional Science Review 30(3):195–220

Duque JC, Anselin L, Rey SJ (2012) The max-p-regions problem. Journal of Regional Science 52(3):397–419, DOI 10.1111/j.1467-9787.2011.00743.x

Duque JC, Patino J, Ruiz LA, Pardo JE (2013) Quantifying Slumness with Remote Sensing Data, DOI 10.2139/ssrn.2390737

Elias M, Rey S (2011) Educational Performance and Spatial Convergence in Peru. Re´gion et De´veloppement (33):107–135

Fischer M (1980) Regional taxonomy: a comparison of some hierarchic and non-hierarchic strate- gies. Regional Science and Urban Economics 10(4):503–537

Fisher WD (1958) On Grouping for Maximum Homogeneity. Journal of the American Statistical Association 53(284):789–798

Gaspar V, Amaglobeli D, Garcia-Escribano M, Soto M (2019) Fiscal Policy and Development: Human, Social, and Physical Investment for the SDGs. IMF Staff Discussion Note 19(3):3–45

Gemmell N (1996) Evaluating the impacts of human capital stocks and accumulation on eco- nomic growth: some new evidence. Oxford bulletin of economics and statistics 58(1):9–28, DOI 10.1111/j.1468-0084.1996.mp58001002.x

Godoy R, Karlan DS, Rabindran S, Huanca T (2005) Do modern forms of human capital matter in primitive economies? Comparative evidence from Bolivia. Economics of Education Review 24(1):45–53, DOI 10.1016/j.econedurev.2003.11.008

Hansen P, Jaumard B, Meyer C, Simeone B, Doring V (2003) Maximum split clustering under connectivity constraints. Journal of Classification 20(2):143–180

Hanushek EA (2013) Economic growth in developing countries: The role of human capital. Eco- nomics of Education Review 37:204–212, DOI 10.1016/j.econedurev.2013.04.005

Hanushek EA, Woessmann L (2008) The role of cognitive skills in economic development. Journal of Economic Literature 46(3):607–668, DOI 10.1257/jel.46.3.607

Hornberger NH (1992) Literacy in South America. Annual Review of Applied Linguistics 12:190– 215, DOI 10.1017/s0267190500002221

Hotelling H (1933) Analysis of a complex of statistical variables into principal components. Jour- nal of Educational Psychology 24(6):417–441, DOI 10.1037/h0071325

Jenks GF (1977) Optimal data classification for choropleth maps. Department of Geographiy, Uni- versity of Kansas Occasional Paper

Jollife IT, Cadima J (2016) Principal component analysis: A review and recent developments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374(2065), DOI 10.1098/rsta.2015.0202

Keller W (2002) Geographic localization of international technology diffusion. American Economic Review 92(1):120–142, DOI 10.1257/000282802760015630

Kelley J (1988) Class conflict or ethnic oppression? The cost of being Indian in rural Bolivia. Rural Sociology 53(4):399–420

Kuscevic CMM, del R´ıo Rivera MA (2013) Convergencia en Bolivia: Un enfoque espacial con datos de panel dina´micos. Revista de Economia del Rosario 16(2):233–256

Law S, Neira M (2019) An unsupervised approach to geographical knowledge discovery using street level and street network images. In: Proceedings of the 3rd ACM SIGSPATIAL Inter- national Workshop on AI for Geographic Knowledge Discovery, pp 56–65

Lawal O (2020) Spatially constrained clustering of nigerian states: Perspective from social, eco- nomic and demographic attributes. International Journal of Environment and Geoinformatics 7(1):68–79

Lefkovitch LP (1980) Conditional clustering. Biometrics pp 43–58

Maclsaac DJ, Patrinos HA (1995) Labour Market Discrimination Against Indigenous People in Peru. The Journal of Development Studies 32(2):218–233, DOI 10.1080/00220389508422412

Manly BFJ, Navarro Alberto JA (2017) Multivariate Statistical Methods: A Primer. CRC Press, Boca Raton

Maravalle M, Simeone B (1995) A spanning tree heuristic for regional clustering. Communications in statistics-theory and methods 24(3):625–639

Mardia KV, Kent TJ, Bibby J M (1994) Multivariate Analysis. Academic Press, London

Mart´ınez PP (1990) Towards standardization of language for teaching in the Andean countries.

Prospects 20(3):377–384, DOI 10.1007/BF02195079

McKenzie D, Rapoport H (2011) Can migration reduce educational attainment? Evidence from Mexico. Journal of Population Economics 24(4):1331–1358

Mendez C (2018a) Beta, sigma and distributional convergence in human development? Evidence from the metropolitan regions of Bolivia. Latin American Journal of Economic Development 30(Nov):87–115

Mendez C (2018b) On the distribution dynamics of human development: Evidence from the metropolitan regions of Bolivia. Economics Bulletin 38(4):2467–2475

Mendieta Ossio P (2019) A Regional Landscape of Bolivian Economic Growth. Revista Latinoamer- icana de Desarrollo Econo´mico (31):77–98, DOI 10.35319/lajed.201931347

Mincer J (1984) Human capital and economic growth. Economics of Education Review 3(3):195–205, DOI 10.1016/0272-7757(84)90032-3

Miranda M, Bento A, Aguilar AM (2020) Malnutrition in all its forms and socioeconomic status in Bolivia [published online ahead of print, 2020 Mar 11]. Public Health Nutrition pp 1–8, DOI 10.1017/S1368980019003896

Morales R, Galoppo E, Jemio LC, Choque MC, Morales N (2000) Bolivia: Geograf´ıa y Desarrollo Econo´ mico

Murtagh F (1992) Contiguity-constrained clustering for image analysis. Pattern Recognition Letters 13(9):677–683

Patrinos HA (1997) Differences in education and earnings across ethnic groups in Guatemala. Quarterly Review of Economics and Finance 37(4):809–821, DOI 10.1016/s1062-9769(97)90005-3

Patrinos HA, Hurst ME (2007) Indigenous language skills and the labor market in a developing economy: Bolivia. The Economics of Language: International Analyses 48(2):473–489, DOI 10. 4324/9780203963159

Patrinos HA, Psacharopoulos G (1993) The Cost of Being Indigenous in Bolivia: An Empirical Analysis of Educational Attainments and Outcomes. Bulletin of Latin American Research 12(3):293, DOI 10.2307/3338733

Pearson K (1901) Pearson, K. 1901. On lines and planes of closest fit to systems of points in space. Philosophical Magazine 2:559–572

Pritchett L (2001) Where Has All the Education Gone? The World Bank Economic Review 15(3):167– 391, DOI 10.7748/ns.4.48.17.s35

Psacharopoulos G (1993) Ethnicity, Education, and Earnings in Bolivia and Guatemala. Compar- ative Education Review 37(1):9–20, DOI 10.1086/447161

Psacharopoulos G, Patrinos HA (2018) Returns to investment in education: a decennial review of the global literature. Education Economics 26(5):445–458, DOI 10.1080/09645292.2018.1484426

Rey SJ, Sastre´-Gutie´rrez ML (2010) Interregional inequality dynamics in mexico. Spatial Economic Analysis 5(3):277–298

Sandoval F (2003) Situacio´ n, tendencias y perspectivas de la convergencia regional en Bolivia 1980-1997

SDSN-Bolivia (2020) Atlas Municipal de los Objetivos de Desarrollo Sostenible en Bolivia

Soruco Carballo CF (2012) Espacio , convergencia y crecimiento regional en Bolivia: 1990 – 2010

Urquiola MS, Andersen L, Antelo E, Evia JL, Nina O (1990) Geography and Development in Bolivia: Migration, Urban and Industrial Concentration, Welfare, and Convergence: 1950- 1992, DOI 10.2139/ssrn.1814660

Vernier Fujita LD, Pengo Bagolin I, Fochezatto A (2020) Spatial distribution and dissemination of education in Brazilian municipalities. The Annals of Regional Science DOI https://doi.org/ 10.1007/s00168-020-01020-3

Wise S, Haining R, Ma J (1997) Regionalisation tools for the exploratory spatial analysis of health data. In: Recent developments in spatial analysis, Springer, pp 83–100