Incidence of public health spending on malnutrition for Latin America and Sub- Saharan Africa during 2000-2015, using panel data techniques

Main Article Content

Jessica Calva
Yomara Ruiz

Abstract

Malnutrition is a serious social and economic problem, affecting mainly low-income and indigenous areas. Despite the fact that it has been reduced by 33.8% to date, Latin America and Sub-Saharan Africa show alarming figures for malnutrition, especially in children.The objective of the research is to examine the incidence of public spending on health in the variation of malnutrition for Latin America and Sub-Saharan Africa during the period2000-2015. For the approach of the model, the theory of Mushkin (1962) was used, in addition the data were extracted from the World Development Indicators (WDI) of the World Bank (2019) and the Human Development Data Center (2019). The dependent variable is represented by malnutrition and the independent variable by public spending on health. Panel data techniques were used through a GLS model and structural equations (Structural EquationModeling, SEM). The contribution of the research is to be the first document that analyzes malnutrition with public spending on health in the two regions with the highest rates of malnutrition. The research allowed to conclude in a general way that public spending on health reduces malnutrition, while living in the rural sector, unemployment and inflation increase malnutrition. Therefore, it is recommended that there be a periodic evaluation of public spending on health to guide its impact on reducing malnutrition.In addition, the creation of sources of employment to increase the purchasing power of families and fully satisfy their needs.

Article Details

How to Cite
Calva, J., & Ruiz, Y. (2021). Incidence of public health spending on malnutrition for Latin America and Sub- Saharan Africa during 2000-2015, using panel data techniques. Revista Económica, 8(2), 8–20. Retrieved from https://revistas.unl.edu.ec/index.php/economica/article/view/905
Section
RESEARCH ARTICLES

References

Acosta, A. M., & Haddad, L. (2014). The politics of success

in the ght against malnutrition in Peru. Food policy,

, 26-35.

Aheto, J. M. K., Taylor, B. M., Keegan, T. J., & Diggle, P. J.

(2017). Modelling and forecasting spatio-temporal variation

in the risk of chronic malnutrition among under-

ve children in Ghana. Spatial and spatio-temporal epidemiology,

, 37-46

Antelo, M.,Magdalena, P., & Reboredo, J. C. (2017). Economic

crisis and the unemployment eect on household

food expenditure: The case of Spain. Food policy,

, 11-24.

Arndt, C., Hussain, M. A., & Østerdal, L. P. (2012).

Eects of food price shocks on child malnutrition:

The Mozambican experience 2008/09 (No. 2012/89).

WIDERWorking Paper.

Bakkeli, N. Z. (2016). Income inequality and health in

China: a panel data analysis. Social Science Medicine,

, 39-47.

Bernet, P., Gumus, G., & Vishwasrao, S. (2018). Eectiveness

of public health spending on infant mortality

in Florida, 2001–2014. Social Science Medicine. 21, 31-

Breusch, T. S.& Pagan, A. R. (1979). "A Simple Test for

Heteroskedasticity and Random Coecient Variation".

Econometrica. 47 (5): 1287–1294..

Bryceson, D. F. (1989). Nutrition and the commoditization

of food in Sub-Saharan Africa. S Social Science

Medicine, 28(5), 425-440.

Burroway, R. (2017). Are all jobs created equal? A crossnational

analysis ofwomen’s employment and child malnutrition

in developing countries.Social science research,

, 1-13.

Cecchini, S.,& Azócar, I. (2007). Indicadores de los objetivos

de desarrollo del Milenio en América Latina y el

Caribe: una comparación entre datos nacionales e internacionales.

CEPAL.

CEPAL, N., & UNICEF. (2018). El derecho a la alimentación

saludable de los niños y niñas de América

Latina y el Caribe.

CEPAL & WFP (2017), El costo de la doble carga de la

malnutrición: impacto social y económico

Cockx, L., Colen, L., & De Weerdt, J. (2018). From corn

to popcorn? Urbanization and dietary change: Evidence

from rural-urban migrants in Tanzania. World Development,

, 140-159.

Cockx, L., & Francken, N. (2014). Extending the concept

of the resource curse: Natural resources and public

spending on health. Ecological Economics, 108, 136-149.

Cornia, G. A., Deotti, L., & Sassi, M. (2016). Sources of

food price volatility and child malnutrition in Niger and

Malawi. Food Policy, 60, 20-30.

Corporación Andina de Fomento. (2020). El agelo de

la desnutrición infantil en América Latina. Obtenido de

https://www.caf.com/es/conocimiento/visiones/2020/03/el-

agelo-de-la-desnutricion-infantil-en-america-latina/

Corsi, D. J., Finlay, J. E., & Subramanian, S. V. (2011).

Global burden of double malnutrition: Has anyone seen

it? PLOS ONE, 6(9), e25120.

Deller, S., Kures, M., & Conroy, T. (2019). Rural entrepreneurship

and migration. Journal of rural studies, 66,

-42

Edney, L. C., Afzali, H. H. A., Cheng, T. C., & Karnon,

J. (2018). Mortality reductions from marginal increases

in public spending on health. Health Policy, 122(8), 892-

Ekbrand, H., &Halleröd, B. (2018). The more gender equity,

the less child poverty? A multilevel analysis of malnutrition

and health deprivation in 49 low-and middleincome

countries. World Development, 108, 221-230.

El Anshasy, A. A., & Katsaiti, M. S. (2015). Are natural

resources bad for health?. Health place, 32, 29-42.

Ervin, P. A.,& Bubak, V. (2019). Closing the rural-urban

gap in child malnutrition: Evidence from Paraguay,

–2012. Economics Human Biology, 32, 1-10.

Feenstra, R. C., Ma, H., & Xu, Y. (2019). Us exports and

employment. Journal of International Economics.

Feldkircher, M., & Siklos, P. L. (2019). Global ination dynamics

and ination expectations. International Review

of Economics Finance, 64, 217-241.

Fondo de las Naciones Unidas para la Infancia. (2011).

La desnutrición infantil. Causas, consecuencias y estrategias

para su prevención y tratamiento.

Frempong, R. B., & Annim, S. K. (2017). Dietary diversity

and child malnutrition in Ghana. Heliyon, 3(5), e00298.

Gaston, N.,& Rajaguru, G. (2013). How an export boom

aects unemployment. Economic Modelling, 30, 343-

Gómez, G. (2015). The standard of living of Alcoy workers:

wages, nutrition and health refor (1836-1913). Economic

History Research, 11(3), 164-173.

González López-Valcárcel, B., & Meneu, R. (2012).

Spending that is sad and blue: Health should be of more

concern than health spending. Gaceta Sanitaria, 26 (2),

-177.

Greene, W. H. 2012. Econometric Analysis. 7th ed. Upper

Saddle River, NJ: Prentice Hall.

Guo, Y., Song, Y., & Chen, Q. (2019). Impacts of education

policies on intergenerational education mobility in

China. China Economic Review, 55, 124-142.

Hanandita, W., & Tampubolon, G. (2015). The double

burden of malnutrition in Indonesia: Social determinants

and geographical variations. SSM-population

health, 1, 16-25.

Hausman JA (1978) Specication tests in econometrics.

Econometrica: J Econometric Soc 46:1251–1271

Huang, H. C., Yeh, C. C., & Wang, X. (2019). Ination

Targeting and Output-Ination Tradeos. Journal of International

Money and Finance.

Humphreys, J. S.,& Solarsh, G. (2017). Populations at

special health risk: rural populations.

Im, K. S., Pesaran, M. H.,& Shin, Y. (2003). Testing for

unit roots in heterogeneous panels. Journal of econometrics,

(1), 53-74.

Mac McCullough, J. (2017). Local health and social services

expenditures: an empirical typology of local government

spending. Preventive medicine, 105, 66-72.

Martínez Salvador, L. (2016). Food security, selfsu

ciency and availability of amaranth in Mexico. Developmental

Problems, 47 (186), 107-132.

Miller, D. D., &Welch, R. M. (2013). Food system strategies

for preventing micronutrient malnutrition. Food Policy,

, 115-128.

Mu, R., 2014. Regional disparities in self-reported

health: evidence from Chinese older adults. Health Econ.

(5), 529e549.

Mushkin, S. J. (1962). Health as an Investment. Journal

of political economy, 70(5, Part 2), 129-157.

Nicolau, R.,& Pujol, J., 2008. The conditioning factors of

the nutritional transition inWestern Europe: Barcelona,

-1936. Scripta Nova. XII, 261.

Nicolau, R., & Pujol, J., 2011. Political and scientic aspects

of the nutritional transition model: critical evaluation

and new perspectives. In: Barona, J.L., Bernabéu, J.

(Eds.), Nutrition, health and society: Spain and Europe

in the 19th and 20th centuries, University of Valencia,

Valencia, pp. 19–57.

Keane, M., & Thakur, R. (2018). Health care spending

and hidden poverty in India. Research in Economics,

(4), 435-451.

Kruse, I., Pradhan, M., & Sparrow, R. (2012). Marginal

benet incidence of public health spending: Evidence

from Indonesian sub-national data. Journal of Health

Economics, 31(1), 147-157.

Leigh, A., & Neill, C. (2011). Can national infrastructure

spending reduce local unemployment? Evidence from

an Australian roads program. Economics Letters, 113(2),

-153.

Lewis, M., Brun, J., Talmage, H., & Rasher, S. (1988).

Teenagers and food choices: the impact of nutrition education.

Journal of Nutrition Education, 20(6), 336-340.

Oliva, J., González, L., Labeaga, J. M.,& Álvarez Dardet,

C. (2008). Salud pública, economía y obesidad: el bueno,

el feo y el malo.

Organización de las Naciones Unidas para la Alimentación

y la Agricultura. (2017). El futuro de la alimentación

y la agricultura. Tendencias y desafíos.

Organización de las Naciones Unidas para la Alimentación

y la Agricultura. UNICEF. (2018). PMA y

OMS. 2018. El estado de la seguridad alimentaria y

la nutrición en el mundo. Fomentando la resiliencia

climática en aras de la seguridad alimentaria y la nutrición.

Organización de las Naciones Unidas para la Alimentación

y la Agricultura. UNICEF. (2017). El estado

de la seguridad alimentaria y la nutrición en el mundo

Fomentando la resiliencia en aras de la paz y la

seguridad alimentaria. Roma: FAO.

Otterbach, S., & Rogan, M. (2019). Exploring spatial differences

in the risk of child stunting: Evidence from

a South African national panel survey.Journal of Rural

Studies, 65, 65-78.

Quiles-Izquierdo, J. (2010). Hunger on hunger. Spanish

Journal of Community Nutrition, 16 (1), 61-62.

Ramírez-Izcoa, A., Sánchez-Sierra, L. E., Mejía-Irías, C.,

Izaguirre González, A. I., Alvarado-Avilez, C., Flores-

Moreno, R., & Rivera, E. (2017). Prevalence and factors

associated with childhood overweight and obesity

in public and private schools in Tegucigalpa, Honduras.

Chilean journal of nutrition, 44 (2), 161-169.

Raza, A., Kalaivani, K., &Ramachandran, P. (2019).Nutrition

transition in India: Overview of dietary intake and

nutrition status (2000–Present).

Roemling, C., & Qaim, M. (2012). Obesity trends and determinants

in Indonesia. Appetite, 58(3), 1005–1013.

Roemling, C., & Qaim, M. (2013). Dual burden households

and intra-householdnutritional inequality in Indonesia.

Economics Human Biology, 11(4), 563–573.

Sandjaja, Poh, B. K., Rojroonwasinkul, N., Le Nyugen,

B. K., Budiman, B., Ng, L. O.,Soonthorndhada, K. &

Parikh, P. (2013). Relationship between anthropometric

indicators and cognitive performance in Southeast

Asian school-agedchildren. British Journal of Nutrition,

(S3), 57–64.

Schott, W., Aurino, E., Penny, M. E., & Behrman, J.

R. (2019). The Double Burden of Malnutrition among

Youth: Trajectories and Inequalities in Four Emerging

Economies. Economics Human Biology.

Swaminathan, H., Sharma, A., & Shah, N. G. (2019).

Does the relationship between income and child health

dier across income groups? Evidence from India. Economic

Modelling, 79, 57-73.

Termos, A., Naufal, G., & Genc, I. (2013). Remittance

outows and ination: The case of the GCC countries.

Economics Letters, 120(1), 45-47.

Wooldridge JM (2002) Econometric analysis of cross

section and panel data. MIT Press, Cambridge, MA

Yuan, J., & Shao, Z. (2012). PHP93 Does Public Health

SpendingMatter? Evidence from China Provincial Panel

Data. Value in Health, 15(7), A624.

Zimmer, Z., Kaneda, T., Tang, Z., & Fang, X. (2010). Explaining

late life urban vs. rural health discrepancies in

Beijing. Soc. Forces Sci.Medium Soc. Study Interpret. 88

(4), 1885e1908