Abstract
Knowledge gaps remain as to how public expenditures (PE) contribute to key SDG outcomes, including eradicating poverty and hunger and improving food and nutrition security in sustainable manners (SDGs 1 and 2). This study partly fills this knowledge gap using the Statistics on Public Expenditures for Economic Development (SPEED data) and various country-level panel data. We find that greater PEs for agriculture and, to a lesser extent, health sectors consistently reduce poverty and improve access to basic water and sanitation services, reduce child stunting and overweight, undernourishment, and food prices. These relationships are somewhat stronger for countries classified as low- or lower-middle-income in 2000. Greater PEs for education and social protection, which have been generally higher than PEs for agriculture and health in terms of allocations, have had more mixed effects on these outcomes.
Résumé
Des lacunes de connaissances subsistent quant à la manière dont les dépenses publiques (DP) contribuent aux principaux résultats des ODD, y compris l'éradication de la pauvreté et de la faim, et l'amélioration de la sécurité alimentaire et nutritionnelle de manière durable (ODD 1 et 2). Cette étude comble en partie cette lacune utilisant les Statistiques sur les Dépenses Publiques pour le Développement Économique (données SPEED) et divers données de panel au niveau des pays. Nous constatons que des DP plus importantes dans l'agriculture et, dans une moindre mesure, dans les secteurs de la santé, réduisent systématiquement la pauvreté ; ells améliorent l'accès aux services de base en matière d'eau et d'assainissement ; et ells réduisent le retard de croissance chez les enfants, le surpoids, la sous-alimentation, et les prix des aliments. Ces relations sont quelque peu plus fortes pour les pays classés comme à faible revenu ou à revenu intermédiaire inférieur en 2000. Des DP plus importantes pour l'éducation et la protection sociale, qui ont généralement été plus élevées que les DP pour l'agriculture et la santé en termes d'allocations, ont eu des effets plus mitigés sur ces résultats.
Resumen
Aún existen brechas de conocimiento sobre cómo los gastos públicos (PE) contribuyen a los principales resultados de los ODS, incluyendo la erradicación de la pobreza y el hambre, y el mejoramiento de la seguridad alimentaria y nutricional de manera sostenible (ODS 1 y 2). Este estudio rellena, en parte, esta brecha de conocimiento, utilizando las Estadísticas sobre Gastos Públicos para el Desarrollo Económico (datos SPEED) y varios datos de panel a nivel de país. Encontramos que mayores gastos públicos en agricultura y, en menor medida, en el sector de la salud, reducen consistentemente la pobreza; mejoran el acceso a servicios básicos de agua y saneamiento; y reducen el retraso en el crecimiento infantil y el sobrepeso, la desnutrición, y los precios de los alimentos. Estas relaciones son algo más fuertes para los países clasificados de ingresos bajos o ingresos medios-bajos en 2000. Mayores gastos públicos en educación y protección social, generalmente más altos que los gastos públicos en agricultura y salud en términos de contribuciones, tienen efectos mixtos en estas conclusiones.
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Data availability
Data used in this study are available from the author upon reasonable request.
Notes
Due to the space limitation, we refer to Takeshima et al. (2020) for a more detailed literature review on PEs for various sectors and development outcomes.
We also focus on PEA, PEH, PEE, and PES as these are more readily available for a sufficient historical time span in cross-country PE data like SPEED data (Yu et al. 2015), which enables us to obtain a sufficient sample size for the analyses of a broad set of outcomes that we used.
We also estimated models using slightly different durations of lags, and found that results are generally robust (available from authors upon request).
We also checked the correlations between PEs in each sector. The correlation coefficients are generally low, ranging between -0.4 to 0.4. Separately accounting for PEs in different sectors helps us correctly attribute the associations with outcomes to PEs in each sector.
Within each regression, PE variables for all 4 sectors are estimated jointly, and their statistical significance is interdependent. Bonferroni correction is not applied to account for the number of variables within the same regression. This is consistent with the standard practice of applying the Bonferroni correction based on the number of outcome variables which can be considered relatively more independent, while not applying the correction based on the number of coefficients estimated within a particular regression, which are inter-related hypotheses (e.g., Mason et al. 2017).
Similarly, the analyses for Tables 6 and 8, and Tables 9, 10, 11, and 12 are conducted as robustness checks to the main results in Tables 5 and 7. Therefore, we apply the same Bonferroni correction separately to each of Tables 6 and 8, and Tables A1–A4, but do not combine Bonferroni correction between Tables 5 and 7, and other Tables (so that the Bonferroni correction is only based on the 36 combinations of outcomes and measurement of public expenditures).
References
Adams, E.A., G.O. Boateng, and J.A. Amoyaw. 2016. Socioeconomic and demographic predictors of potable water and sanitation access in Ghana. Social Indicators Research 126 (2): 673–687.
Addison, T., M. Niño-Zarazúa, and J. Pirttilä. 2018. Fiscal policy, state building and economic development. Journal of International Development 30 (2): 161–172.
Akram, R., M. Sultana, N. Ali, N. Sheikh, and A.R. Sarker. 2018. Prevalence and determinants of stunting among preschool children and its urban–rural disparities in Bangladesh. Food and Nutrition Bulletin 39 (4): 521–535.
Alderman, H., and R. Yemtsov. 2014. How can safety nets contribute to economic growth? World Bank Economic Review 28 (1): 1–20.
Almanzar, M., and M. Torero. 2017. Distributional effects of growth and public expenditures in Africa: Estimates for Tanzania and Rwanda. World Development 95: 177–195.
Anderson, E., M.A. Jalles D’Orey, M. Duvendack, and L. Esposito. 2017. Does government spending affect income inequality? A meta-regression analysis. Journal of Economic Surveys 31 (4): 961–987.
Anderson, E., M.A. Jalles D’Orey, M. Duvendack, and L. Esposito. 2018. Does government spending affect income poverty? A meta regression analysis. World Development 103: 60–71.
Antoninis, M. 2014. Tackling the largest global education challenge? Secular and religious education in northern Nigeria. World Development 59: 82–92.
Balasubramanya, S., and D. Stifel. 2020. Water, agriculture & poverty in an era of climate change: Why do we know so little? Food Policy 93: 101905.
Barbier, E.B., and J.C. Burgess. 2019. Sustainable development goal indicators: Analyzing trade-offs and complementarities. World Development 122: 295–305.
Barro, R.J. 1976. Perceived wealth in bonds and social security and the Ricardian Equivalence theorem: Reply to Feldstein and Buchanan. Journal of Political Economy 84 (2): 343–350.
Bergh, A., I. Mirkina, and T. Nilsson. 2020. Can social spending cushion the inequality effect of globalization? Economics, Politics 32 (1): 104–142.
Binswanger, H.P., and K. Deininger. 1997. Explaining agricultural and agrarian policies in developing countries. Journal of Economic Literature 35 (4): 1958–2005.
Biørn, E. 2004. Regression systems for unbalanced panel data: A stepwise maximum likelihood procedure. Journal of Econometrics 122 (2): 281–291.
Blundell, R., and S. Bond. 1998. Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics 87: 115–143.
Blundell, R., S. Bond, M. Devereux, and F. Schiantarelli. 1992. Investment and Tobin’s Q: Evidence from company panel data. Journal of Econometrics 51 (1–2): 233–257.
Bove, V., G. Efthyvoulou, and A. Navas. 2017. Political cycles in public expenditure: Butter vs guns. Journal of Comparative Economics 45 (3): 582–604.
Brooks, W., K. Donovan, T.R. Johnson, J. Oluoch, and Aridi. 2022. Cash transfers as a response to COVID-19: Experimental evidence from Kenya. Journal of Development Economics 158: 102929.
Chichaibelu, B.B., M. Bekchanov, J. von Braun, and M. Torero. 2021. The global cost of reaching a world without hunger: Investment costs and policy action opportunities. Food Policy 104: 102151.
Das, J., A. Holla, A. Mohpal, and K. Muralidharan. 2016. Quality and accountability in health care delivery: Audit-study evidence from primary care in India. American Economic Review 106 (12): 3765–3799.
Datzberger, S. 2018. Why education is not helping the poor. Findings from Uganda. World Development 110: 124–139.
Fan, S., P. Hazell, and S. Thorat. 2000. Government spending, agricultural growth and poverty in rural India. American Journal of Agricultural Economics 82 (4): 1038–1051.
Fan, S., S. Yosef, and R. Pandya Lorch. 2019. Agriculture for improved nutrition: Seizing the momentum. IFPRI.
Fan, S., and X. Zhang. 2008. Public expenditure, growth and poverty reduction in rural Uganda. African Development Review 20 (3): 466–496.
Gazeaud, J., and V. Stephane. 2023. Productive workfare? Evidence from Ethiopia’s productive safety net program. American Journal of Agricultural Economics 105 (1): 265–290.
Haggblade, S., K.G. Duodu, J.D. Kabasa, A. Minnaar, N.K. Ojijo, and J.R. Taylor. 2016. Emerging early actions to bend the curve in sub-Saharan Africa’s nutrition transition. Food and Nutrition Bulletin 37 (2): 219–241.
Hertel, T.W., U.L. Baldos, and K.O. Fuglie. 2020. Trade in technology: A potential solution to the food security challenges of the 21st century. European Economic Review 127: 103479.
Hu, B., and R.U. Mendoza. 2013. Public spending, governance and child health outcomes: Revisiting the links. Journal of Human Development Capabilities 14 (2): 285–311.
International Food Policy Research Institute (IFPRI). 2019. Statistics on Public Expenditures for Economic Development (SPEED). Washington, DC: IFPRI.
IFPRI. 2021. Global food policy report 2021. Washington DC: IFPRI.
Kaufmann, D., A. Kraay, and M. Mastruzzi. 2010. The worldwide governance indicators: Methodology and analytical issues. The Brookings Institution.
Korir, L., M. Rizov, and E. Ruto. 2023. Diet diversity, malnutrition and health: Evidence from Kenya. Journal of Agricultural Economics 74 (2): 534–550.
Kwon, H.J., and E. Kim. 2014. Poverty reduction and good governance: Examining the rationale of the millennium development goals. Development and Change 45: 353–375.
Lee, I.H. 2018. Industrial output fluctuations in developing countries: General equilibrium consequences of agricultural productivity shocks. European Economic Review 102: 240–279.
Lio, M.C., and J.L. Hu. 2009. Governance and agricultural production efficiency: A cross-country aggregate frontier analysis. Journal of Agricultural Economics 60 (1): 40–61.
Martinez-Vazquez, J., V. Vulovic, and B. Moreno-Dodson. 2012. The impact of tax and expenditure policies on income distribution: Evidence from a large panel of countries. Review of Public Economics 200 (4): 95–130.
Mary, S. 2019. Hungry for free trade? Food trade and extreme hunger in developing countries. Food Security 11 (2): 461–477.
Mason, N.M., A. Wineman, L. Kirimi, and D. Mather. 2017. The effects of Kenya’s ‘Smarter’ input subsidy programme on smallholder behaviour and incomes: Do different quasi-experimental approaches lead to the same conclusions? Journal of Agricultural Economics 68 (1): 45–69.
Mogues, T., and S. Benin. 2012. Public expenditures for agricultural and rural development in Africa. Oxford: Routledge.
Ndikumana, L., and L. Pickbourn. 2017. The impact of foreign aid allocation on access to social services in sub-Saharan Africa: The case of water and sanitation. World Development 90: 104–114.
Nikolov, P., and M. Bonci. 2020. Do public program benefits crowd out private transfers in developing countries? A critical review of recent evidence. World Development 134: 104967.
Rajkumar, A.S., and V. Swaroop. 2008. Public spending and outcomes: Does governance matter? Journal of Development Economics 86: 96–111.
Rawat, S., S. Akter. 2021. Achieving ‘Zero Hunger’ through public agricultural expenditure: Evidence from 62 low and lower-middle income countries from 1990–2014. Unpublished manuscript.
Ruel, M.T., A.R. Quisumbing, and M. Balagamwala. 2018. Nutrition-sensitive agriculture: What have we learned so far? Global Food Security 17: 128–153.
Smith, L.C., and L. Haddad. 2015. Reducing child undernutrition: Past drivers and priorities for the post-MDG era. World Development 68: 180–204.
Soriano, B., and A. Garrido. 2016. How important is economic growth for reducing undernourishment in developing countries?’. Food Policy 63: 87–101.
Takeshima, H., L.S. Liverpool, and Tasie. 2015. Fertilizer subsidy, political influence and local food prices in sub-Saharan Africa: Evidence from Nigeria. Food Policy 54: 11–24.
Takeshima, H., B. Balana, J. Smart, H.O. Edeh, M.A. Oyeyemi, and K.S. Andam. 2020. Effects of public expenditures on agriculture at subnational levels on households’ welfare and economic resilience in Nigeria. IFPRI DP 01955.
Takeshima, H., B. Balana, J. Smart, H.O. Edeh, M.A. Oyeyemi, and K.S. Andam. 2022. Subnational public expenditures, short-term household-level welfare and economic flexibility: Evidence from Nigeria. Agricultural Economics 53 (5): 739–755.
The Centre for Research on the Epidemiology of Disasters (CRED). 2021. Emergency events database (EM-DAT). http://www.emdat.be/. Accessed 29 Sept 2021.
United Nations. 2021. SDG indicators. Statistics Division, Department of Economic and Social Affairs, United Nations. https://unstats.un.org/sdgs/UNSDG/
United Nations International Children's Emergency Fund (UNICEF)/World Health Organization (WHO)/World Bank. 2023. UNICEF/WHO/World Bank joint child malnutrition estimates. Available at https://data.unicef.org/topic/nutrition/malnutrition/.
Van der Ploeg, F., and A.J. Venables. 2011. Harnessing windfall revenues: Optimal policies for resource-rich developing economies. Economic Journal 121 (551): 1–30.
Villoria, N.B., and E.W. Mghenyi. 2017. The impacts of India’s food security policies on South Asian wheat and rice markets. World Bank Economic Review 31 (3): 730–746.
Wilson, S.E. 2011. Chasing success: Health sector aid and mortality. World Development 39 (11): 2032–2043.
World Bank. 2008. World development report 2008: Agriculture for Development. Washington, DC: World Bank.
World Bank. 2021a. World development indicators. Washington, DC: World Bank.
World Bank. 2021b. Worldwide governance indicators. Washington, DC: World Bank.
Wouterse, F. 2019. The role of empowerment in agricultural production: Evidence from rural households in Niger. Journal of Development Studies 55 (4): 565–580.
Wouterse, F., and O. Badiane. 2019. The role of health, experience, and educational attainment in agricultural production: Evidence from smallholders in Burkina Faso. Agricultural Economics 50 (4): 421–434.
Xiao, Z., J. Shao, R. Xu, and M. Palta. 2007. Efficiency of GMM estimation in panel data models with measurement error. Sankhyā: the Indian Journal of Statistics 69 (1): 101–118.
Yogo, M. 2004. Estimating the elasticity of intertemporal substitution when instruments are weak. Review of Economics and Statistics 86 (3): 797–810.
Yu, B., E. Magalhaes, and S. Benin. 2015. A database user manual for SPEED: Statistics on Public Expenditures for Economic Development. Washington, DC: IFPRI.
Acknowledgements
I thank the journal editor and two anonymous reviewers for their constructive comments. I also thank the CGIAR Research Program on Policies, Institutions, and Markets (PIM) which was led by the International Food Policy Research Institute (IFPRI), and the CGIAR Research Initiative on National Policies and Strategies (NPS). I would like to thank all funders who supported this research through their contributions to the CGIAR Trust Fund: https://www.cgiar.org/funders/. I also benefited from dialogues with Xinshen Diao, Samuel Benin, Tewodaj Mogues, Bingxin Yu and Jenny Smart. The author is responsible for any remaining errors.
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Takeshima, H. Public Expenditure’s Role in Reducing Poverty and Improving Food and Nutrition Security: Cross-Country Evidence from SPEED Data. Eur J Dev Res (2024). https://doi.org/10.1057/s41287-023-00623-8
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DOI: https://doi.org/10.1057/s41287-023-00623-8