Indiana University SPEA Edward J. Bloustein School of Planning and Public Policy University of Pennsylvania AIR American University

Poster Paper: Land Use and Infant Mortality: Evidence from Sub-Saharan Africa and South Asia

Saturday, November 14, 2015
Riverfront South/Central (Hyatt Regency Miami)

*Names in bold indicate Presenter

Joyce Shim1, Jacob Lesniewski1, Christopher DiGiovanni1 and Prakash Gorroochurn2, (1)Dominican University, (2)Columbia University
While there have been a great deal of advances in health, social, and economic development that have taken place in many Sub-Saharan African and South Asian countries over the last decades, little scholarly attention has been paid to the specific effects of arable land use on the wellbeing of families and communities in these fast-growing regions. This study investigates the relationship between agricultural land use (share of arable land area) and infant mortality (deaths less than age one) in nineteen Sub-Saharan African and eleven South Asian countries from 1990 to 2012. We first examine all thirty countries and compare the two regions separately.

All data have been collected from the World Bank. In all models, we included country fixed effects, year fixed effects, and country-time trend interactions to control for unobserved factors across thirty countries and time periods from 1990 to 2012. We use Generalized Linear Models (GLMs) to examine the effects of agricultural land on infant mortality. Agricultural land (independent variable) refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Infant mortality (outcome variable) is defined as the number of infants dying before reaching one year of age, per 1,000 live births in a given year. Our covariates include: (i) GDP per capita; (ii) immunizations for measles; (iii) fertility rate; (iv) female labor force participation; (v) HIV prevalence; (vi) undernourishment rate; (vii) anemia prevalence among pregnant women; (viii) food production index; and (ix) population density. Both our independent and dependent variables, as well as all of the covariates are continuous.

Our findings overall suggest that an increase in land use is predicted to reduce infant mortality; the results are significant throughout all model specifications. Including country fixed effects, year fixed effects, and country-time trend interactions, as well as all covariates, our results indicate that a ten-percent increase in the share of arable land is predicted to reduce infant mortality by 11% (p=0.000) in thirty countries in Sub-Saharan African and South Asian countries from 1990 to 2012. An 11% decrease in infant mortality means a reduction in the infant death rate from 10 to 8.9 per 1,000 live births. We then examine the two continents separately. In nineteen Sub-Saharan countries, our results show that a ten-percent increase in the share of arable land is predicted to reduce infant mortality by 9% (p=0.000). In contrast, in eleven South Asian countries, the effects are only 7% (p=0.012). Comparing the coefficients across continents, the difference in the effects of arable land is not statistically significant. However, the larger effects of land found in Sub-Saharan Africa are worth discussing and therefore will be further addressed in our presentation.

Finally, after discussing several important research challenges, we conclude with policy implications for a long run plan that may help increase land productivity and reduce infant mortality in these fast developing Sub-Saharan African and South Asian countries.