Elsevier

Economic Analysis and Policy

Volume 71, September 2021, Pages 660-673
Economic Analysis and Policy

Modelling economic policy issues
Spatial spillovers of economic growth and public spending in Mexico: Evidence from a SpVAR model, 1999–2019

https://doi.org/10.1016/j.eap.2021.07.004Get rights and content

Abstract

The Mexican government has been decreasing its participation as the main investor in the Mexican economy, but it has been increasing its current spending in the different states of the country. This behaviour has influenced the slow economic growth of Mexico in the period 1999–2019. However, the effects of these spending decisions have had a heterogeneous effect on the growth levels of Mexican states. The aim of this paper is to identify these effects by considering the impact that a federal entity generates on its neighbours (push-out effect) and the benefits it receives from its close neighbours (push-in effect) when there are spillovers of this economic growth. The methodology used to analyse the relationship between economic growth and public spending makes use of an econometric model with Spatial Autoregressive Vectors (SpVAR) to test the existing causal relationships. With the SpVAR model we can show the spatial effects of interaction between the thirty-two states that make up the Mexican geography in the period 1999–2019 and to determine spatial spreading and growth causality. The results obtained make it possible to establish that economic growth spreads from one federal entity to another over time and that public spending does not have a fundamental influence on this growth, due to the strong reduction in investment spending.

Introduction

There has been a lot of criticism of the government’s weak role as an investor and job generator in the Mexican economy. This became much more evident with the country’s incorporation into the North American Free Trade Agreement (NAFTA) in 1994 and its modest results in terms of growth; in the 1999–2019 period, the GDP grew at an average annual rate of only 2%. However, this result does not mean that economic dynamism operates in the same way at the sub-national level, since there are states that have grown well above the average; for example, Aguascalientes and Querétaro, which are states in the central region of the country, and they have had very dynamic GDP growth rates of approximately 5% per year on average in recent years.

The heterogeneous growth of Mexican states also reflects a spatially differentiated behaviour of public spending. Although this type of spending is considered to displace private investment in the dominant economic theory, others consider it a complementary and relevant source for attracting new investment (Chang, 1996). The predominant idea in economics that free market forces solve economic problems and that a balanced public spending policy is sufficient to generate the necessary incentives for entrepreneurs to lead growth on their own, which is based on comparative advantages to consolidate industrialization, has not been fulfilled in reality (Devlin and Moguillansky, 2009). In practice, the idea of the State’s non-involvement in the economy has weakened its role as a direct investor in the productive sector and has confined it to being a provider of current spending by providing education, health, infrastructure and security services at the state and municipal level. This has contributed to sacrificing potential for growth in economies such as Mexico’s.

In Mexico, the government has reduced its investment spending, but has increased direct unconditional and conditional transfers at the state and municipal levels. This expenditure is known as branch 28 and 33 (branch 28 and 33) of the public budget, respectively. In Mexico, the federal government makes transfers to states and municipalities through the items of branch 28 and 33 of the public budget, respectively. Those of branch 28 are participations that can be used as desired, while those of branch 33 are contributions allocated to education, health, educational and social infrastructure, and public security. These are expenses that have a greater influence on short-term growth, compromising long-term dynamics at the sub-national level.

This type of spending generates both positive and negative externalities in the states. Therefore, the main objective of this work is to show how the 32 entities that make up the country benefit directly through the allocation of the budget known as branch 28 and 33, but also to show how indirectly they benefit neighbours that surround them through this transfer of resources. This implies proving that the economic growth that an entity obtains through transfers not only stays within the benefited entity but spills over into a set of entities. These spills are higher with the closest neighbours and with those with stronger ties, which can only be detected using spatial techniques such as the SpVAR model. This highlights that subnational interrelationships are essential to strengthen local markets and that supporting the states that generate more spillovers for their neighbours is essential for the aggregate growth of the country.

Therefore, the main objective of this work is to show how the 32 entities that make up the country benefit directly through the allocation of the budget known as branch 28 and 33, but also to show how indirectly they benefit neighbours that surround them through this transfer of resources. This implies proving that the economic growth that an entity obtains through transfers not only stays within the benefited entity but spills over into a number of entities. These spills are higher with the closest neighbours and with those with stronger ties, which can only be detected using spatial techniques such as the SpVAR model. With this we highlight that subnational interrelationships are fundamental to strengthen local markets and that supporting the states that generate more spillovers towards their neighbours is fundamental for the aggregate growth of the country. The latter means that when growth and public spending spill over to a broad set of states, growth is much higher than when it is geographically concentrated. When there are significant spatial spillover effects, national growth can be more accelerated, due to the fact that multiplier spatial effects are generated.

The hypothesis put forward in this text is that the decrease in public spending on investment in states has negative effects on their long-term growth prospects by reducing their productive base, while the increase in current spending has positive impacts only in the short term. This implies that when the largest proportion of government spending is carried out in income distribution items, rather than investment items, a risky and adverse effect is generated on long-term growth and population welfare, which negatively influences their long-term growth and development path.

In summary, this paper starts from the premise that public spending has direct and indirect spatial effects on economic growth, giving rise to positive and/or negative externalities. Not only do public investment decisions directly affect the population living in a particular federal entity (direct impact), but they also influence neighbouring entities (indirect impact). Therefore, in order to target public investment policy adequately, it is essential to know which federal entities generate the greatest economic spillovers in relation to their neighbours. In this context, this paper aims to identify the impact that an entity generates on its neighbours (push-out effect) and the benefits it receives from its close neighbours (push-in effect) when there are economic growth spillovers. The methodology used for this purpose is that of Spatial Autoregressive Vectors (SpVAR) developed by Beenstock and Felsenstein (2007) and Kelejian and Prucha (2004).

In the Mexican context, there are studies on economic growth at the sub-national level that analyse economic growth, convergence and spatial concentration (Esquivel, 1999, Cermeño, 2001, Díaz-Bautista, 2003, Valdivia, 2008, Asuad and Quintana-Romero, 2010, Quintana-Romero et al., 2016, Rodríguez Benavides et al., 2018, Díaz-Dapena et al., 2019, German-Soto et al., 2020, Cabral et al., 2020). These authors, despite showing the trend and/or existence of economic convergence, do not measure or analyse in greater detail the spatial impacts of interaction between Mexican states, nor do they study the role that public spending plays in these processes. With the use of the SpVAR econometric methodology, this paper seeks to overcome the limitations of the aforementioned authors by identifying and quantifying the spillover effect generated by economic growth in Mexican states and their causal relationships.

This paper is divided into five sections. After an introduction contextualizing the topic under study, the second section presents the theoretical discussion on spatial intra-regional relationships and their importance. The third section describes the methodology; nature of the data and spatial methodology. The fourth section presents the estimation results and the main findings of the work. Finally, the last section presents the most relevant conclusions, the policy recommendations arising from the results and the limitations of the research.

Section snippets

Economic growth and the role of public spending

The effects of fiscal policy in different countries have been analysed either within the neoclassical framework or through alternative approaches (Díaz et al., 2018). Within neoclassical discussions, the most important assumption is that of full employment, both of the productive factors and employment in a given country. The neoclassical growth theory (Solow, 1950) considers that equilibrium income increases only if the savings rate rises, since an increase in public spending generates

Nature of the data

The data used in this work come from the National Institute of Statistics, Geography and Computing (INEGI) and cover the period from the first quarter of 1999 to the last quarter of 2019. The ITAE variables are used, which refer to the quarterly indicator of state economic activity; branch 28 refers to the resources that are transferred to states and municipalities and; branch 33 refers to federal contributions that are conditionally allocated to states and municipalities or already allocated

Results. Empirical evidence for the federal entities of Mexico

Table 1 shows the Granger causality test. Columns 2–4 represent the effect or causality that neighbours generate on a particular entity. For example, if the neighbours of Chihuahua, Chiapas, Colima, Hidalgo Nayarit, Oaxaca, Sinaloa and San Luis Potosí increase their growth, the mentioned entities benefit from this growth and the same is observed for branch 28 and 33. When these items tend to increase in the neighbouring entities such as Chihuahua, Coahuila, Michoacán, State of Mexico, among

Conclusions

Among the works published to analyse economic growth at the regional level of the Mexican economy, none of these studies used the SpVAR methodology; many of them used spatial techniques, such as that of Quintana et al. (2013), which estimates the country’s economic growth using Kaldor’s theory. Unlike the studies by Asuad and Quintana-Romero (2010), among others, in which the country’s growth trend is analysed, in this one we measure the magnitude of those benefits.

This work found that

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

None.

Funding

This work was supported by UNAM, Mexico -PAPIIT IN303821.

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