Remittances and the Size and Composition of Government Spending

Authors

DOI:

https://doi.org/10.21919/remef.v18i4.745

Keywords:

Remittances, government spending, social security transfers, public goods, taxation

Abstract

Objective. We study the effect of remittances on the size and composition of public spending. Methodology. An optimization technique is used to develop a dynamic theoretical model and a simulation analysis. Results. It is demonstrated that remittances have a positive income effect on public goods, but a negative income effect and a price effect on social transfers, which explains why public goods increase, but social transfers can increase or fall due to changes in the remittances. Recommendations. The model makes recommendations for public policy design by characterizing the optimal level of public spending. Limitations. It is desirable to extend our analysis to consider electoral incentives and thus provide different explanations of how remittances might affect public spending. Originality. To the best of our knowledge, this is the first document that develops a theory to explain the effect of remittances on the size and composition of public spending. Conclusions. Remittances have a differentiated effect on public goods and social transfers depending on the income and price effects that affect the composition of public spending.

 

Author Biographies

Raul Alberto Ponce Rodriguez, Universidad Autónoma de Ciudad Juárez

aRaúl Alberto Ponce Rodríguez is professor of economics at the Autonomous University of Ciudad Juárez and affiliated professor of the International Center for Public Policy at Georgia State University. His research is on political economy and public finance. He has published 4 books and several papers in specialized journals. Dr. Ponce has received several awards; In 2012, with Charles Hankla, Jorge Martínez and Eunice Heredia, he obtained The Deil Wright Best Paper award by The American Political Science Association, and in 2018 the best paper award by Ensayos, Journal of Economics.

Benito Alan Ponce Rodríguez, Universidad Autónoma de Ciudad Juárez

Benito Alan Ponce Rodriguez is a researcher and full-time professor, assigned to the Computer Science faculty at the Autonomous University of Ciudad Juárez (UACJ). His research interests are based on data science and the digital economy and he has published several papers in specialized journals. He is an associated member of the Artificial Intelligence Center located in Cd. Juárez and he is also in charge of the Interdisciplinary Data Lab at the UACJ

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Published

2023-09-25

Issue

Section

Research and Review Articles