Balancing Infrastructure and Human Capital: Optimal Fiscal Composition for Sustainable Growth

Authors

  • Octavio Martínez-Baltodano Universidad Autónoma de Chile

    octavio.martinez@uautonoma.cl

  • María Haydée Fonseca-Mairena Pontificia Universidad Católica del Maule

    mfonseca@ucm.cl

DOI:

https://doi.org/10.18800/economia.202501.002

Keywords:

Fiscal policy composition, Long-run economic growth, Public investments, Redistribution

Abstract

This paper investigates the relationship between fiscal policy composition and long-run economic growth by extending the classic Alesina–Rodrik framework. We develop a dynamic model that distinguishes between capital-augmenting public investments (such as infrastructure) and labor-enhancing expenditures (including human capital development), both financed through a wealth tax. Our central hypothesis is that an optimal allocation of public spending exists which maximizes the net return on capital and thereby supports sustained growth. However, political pressures—stemming from heterogeneous factor endowments and median voter preferences—can drive fiscal policies away from this efficiency benchmark, leading to suboptimal tax rates and spending compositions that may even trigger growth traps. By employing comparative statics and equilibrium analysis, we demonstrate how redistributive forces influence the choice of fiscal instruments, ultimately affecting aggregate productivity and capital accumulation. The findings offer novel theoretical insights into the trade-offs between redistribution and growth, underscoring the critical importance of aligning fiscal composition with underlying production technologies to achieve both efficient and politically feasible outcomes.

Downloads

Download data is not yet available.

Downloads

Published

2025-07-15

How to Cite

Martínez-Baltodano, O., & Fonseca-Mairena, M. H. (2025). Balancing Infrastructure and Human Capital: Optimal Fiscal Composition for Sustainable Growth. Economia, 48(95), 34–68. https://doi.org/10.18800/economia.202501.002

Issue

Section

Articles