Received: October 8, 2024
Accepted: August 12, 2025

Abstract

Objective: To analyze the impact of fiscal mechanisms on reducing economic inequalities within and between countries with different income levels.
Design/Methodology: The study adopted a quantitative, descriptive–comparative approach. A Data Envelopment Analysis (DEA) model based on linear programming and benchmarking algorithms was developed to measure the relationship between fiscal mechanisms and economic inequality across a set of countries with different income levels.
Results: The DEA model identified the Fiscal Efficiency Possibility Frontier (FEPF) for countries with varying income levels. Germany, France, the United Kingdom, and Russia have efficient fiscal mechanisms that reduce economic inequalities. The United States, Mexico, Brazil, and Colombia fall into a second group of less efficient countries. The remaining countries demonstrate even greater gaps in fiscal policy development and its limited impact on reducing inequalities.
Conclusions: The findings show that fiscal efficiency depends not on revenue collection but on the structured design of fiscal policy, as illustrated by the cases of Russia and the United States. Colombia’s fiscal mechanisms are ineffective at addressing economic inequalities, though they perform better than those of lower-middle- and low-income countries.
Originality: The study’s main contribution is constructing a FEPF that measures the relationship between fiscal mechanisms and economic inequalities among countries classified by income level according to the World Bank Group (WBG).

Resumen

Objetivo: analizar el impacto de los mecanismos fiscales en la reducción de las desigualdades económicas en y entre países de diferente nivel de ingreso.
Diseño/metodología: el diseño metodológico se basó en un enfoque cuantitativo de tipo descriptivo-comparativo. Para ello se construyó un modelo de análisis envolvente de datos (dea), según el algoritmo de programación lineal y benchmarking, que permiten medir la relación de eficiencia entre una serie de mecanismos fiscales y las desigualdades económicas, para un conjunto de países de diferentes niveles de ingreso.
Resultados: en el modelo DEA, que evidencia la frontera de posibilidades de eficiencia fiscal para países de diferente nivel de ingreso, Alemania, Francia, Reino Unido y Rusia muestran un nivel de eficiencia en sus mecanismos fiscales que conllevan la reducción de las desigualdades económicas; mientras que países como Estados Unidos, México, Brasil y Colombia se encuentran en el segundo agrupamiento de países ineficientes. Igualmente, la brecha es mayor para los demás países en el desarrollo de políticas fiscales y su moderado efecto sobre las desigualdades.
Conclusiones: los resultados demuestran que la eficiencia no radica en el recaudo, sino en el diseño estructurado de la política fiscal, como se constata en el análisis del caso de Rusia y Estados Unidos. En el caso colombiano, se identifica que sus mecanismos fiscales son ineficientes con relación a las desigualdades económicas, pero supera a los países de ingreso medio bajo y bajo.
Originalidad: la novedad del estudio es la construcción de la frontera de posibilidades de eficiencia fiscal, que permite medir el nivel de eficiencia entre los mecanismos fiscales y las desigualdades económicas en países de diferentes niveles de ingreso de acuerdo con la clasificación del Banco Mundial.

1. INTRODUCTION

Progress towards economic recovery continues globally after periods of negative Gross Domestic Product (GDP) indicators (Gunay et al., 2021; Zhang, et al., 2022). The COVID-19 pandemic reinforce existing economic inequality (Alfani et al., 2024) and revealed the unsustainability of pro-cyclical fiscal policies for economic and social development, particularly those influencing poverty and income redistribution. According to Onrubia and Rodado (2014), in the absence of well-defined redistributive mechanisms, economic functioning tends to increase disparities over time.

Reducing inequalities is a key component of the Sustainable Development Goals (SDGS) (Wang et al., 2025), especially since the pandemic has exacerbated existing disparities and affected vulnerable populations. The decline in formal employment has led to income loss and increased household vulnerability (Angelov & Waldenström, 2023). Therefore, studies examining the relationship between fiscal mechanisms and economic inequalities are needed to inform decision-making and strengthen the efficiency of resource distribution toward greater social balance.

However, income redistribution through fiscal policy is not always the most effective means of stimulating economic dynamism. It reduces the incentive to work because of transfer benefits and lowers investment incentives due to higher taxes (Barrientos Marín et al., 2014; Ferreira et al., 2007; Gallo, 2006; Klasen, 2004; Macías Vázquez, 2014; Montalvo & Ravallion, 2009; Persson & Tabellini, 1994; Ravallion, 2004; Warr, 2002). These studies conclude that sectoral growth contributes more significantly to poverty reduction.

High levels of inequality require stronger fiscal mechanisms and greater tax efforts, which can increase the overall tax burden, and are often perceived as unfair depending on the justification. As Gonareva et al. (2021, p. 33) and Lansing and Markiewicz (2013) note, “The world knows quite a number of economic mechanisms of solution of the problem of income inequality: from the progressive taxation to social payments, reduced payments and subsidies.”

Furthermore, when inequalities result from inefficient public administration, unstable fiscal policy, or corruption, it is understandable why capital and investors would relocate to more equitable scenarios (Camacho Pérez, 2020). Corruption affects society, the economy, and government performance, eroding credibility and trust in institutions (Cingano, 2014; Galindo y Ríos, 2015; Keefer & Knack, 2002).

In developing economies, fiscal redistribution is often weaker due to lower and less progressive spending and taxation (Gaspar & García-Escribano, 2017). Fiscal redistribution also defines how taxes are managed (Dyrda & Pedroni, 2023)—including which entities collect, allocate, and distribute resources; the sanctions for noncompliance; and the general regulation of taxation-related activities and institutions.

Many countries’ tax systems tend toward regressivity due to their heavy reliance on indirect taxes and imbalances in economic agents’ contributions. The relationship between economic growth and income distribution has been widely studied across theoretical traditions. Until the 1970s, Simon Kuznets’ theory dominated. This theory posited that economic growth driven by the modernization of the productive apparatus would eventually reduce inequality in income distribution (Aguilera Verduzco, 1998; Sánchez Almanza, 2006, p. 13).

Piketty (2013) argues that income inequality can only be analyzed through tax data since indicators of economic growth and development hide “immense inequalities.” Conversely, regressive fiscal mechanisms exacerbate inequalities (Krugman, 2020). As Stiglitz (2012) contends, the state is responsible for poorly designed fiscal policies.

Public spending, transfers, and taxation also influence aggregate demand and production. Since few goods qualify as “genuine” public goods, Adam Smith (1994) argued that the optimal size of the state should be limited to the cost of its essential functions: defense, security, justice, and infrastructure—what is known as the minimal state.

According to Karakotsios et al. (2020) and Prasad (2008), fiscal mechanisms are policy instruments that can reduce income inequality, increase public revenues, encourage investment, and correct market failures. Barro (2000) and Banerjee and Duflo (2000), however, suggest a quadratic relationship between inequality and growth. At high levels of inequality, reducing disparity promotes growth by providing political stability and reducing socio-political tensions that cause uncertainty and deter investment and growth (Bengoa Calvo & Sánchez-Robles Rute, 2001). This study therefore aims to analyze the impact of fiscal mechanisms on reducing economic inequalities within and between countries of different income levels.

Methodologically, it is important to distinguish between quantitative analysis and literature review. This study uses bibliometric and scientific mapping techniques only to identify input variables associated with key fiscal mechanisms in the literature and to define the output variables of the Data Envelopment Analysis (DEA) model representing economic inequalities (see Table 1).

The paper is structured as follows. Section 1 presents the literature review and defines the study variables. Section 2 details the DEA model used to measure the efficiency of fiscal mechanisms in reducing economic inequalities. Section 3 outlines the results, including the construction of the Fiscal Efficiency Possibilit Frontier (FEPF). Section 4 offers the study’s conclusions.

2. THEORETICAL FRAMEWORK

Impact of Fiscal Mechanisms on Economic Inequality

Studies by Beramendi and Rogers (2020), Salvador Casara et al. (2023), Tang and Wang (2021), and Verde Selva et al. (2020) have examined various aspects of economic inequality. These aspects include the effects of tax incentives, income tax progressivity, fiscal decentralization, and the perception of inequality. These studies highlight the importance of well-designed fiscal policies and effective revenue governance in mitigating inequality. Similarly, Banzhaf et al. (2021), Berzosa (2002), Cutler et al. (2018), Festa (2018), and Koger and Rodríguez (2021) analyze the impact of various fiscal measures on economic growth and income distribution. These studies emphasize the roles of family transfers, pensions, unemployment benefits, and redistributive policies.

Despite this extensive body of research, however, none of these studies has empirically demonstrated the FEPF for countries with different income levels using a scientific approach. This study fills that gap by offering an innovative perspective that prioritizes the structured design of fiscal policy over a narrow focus on tax collection. This approach has the potential to transform the way governments and institutions address economic inequality and fiscal efficiency by providing a robust, adaptable framework that can be applied to diverse national contexts to maximize social well-being and promote sustainable economic growth.

As a universal ontological principle, equality ensures that all individuals can live with dignity. Consequently, high levels of inequality challenge the legitimacy of those who govern as guarantors of universal and fundamental rights. “Inequalities limit economic growth, marginalize individuals, and erode trust in institutions” (CEPAL, 2019). The following section defines the key variables used to analyze the correlations between fiscal mechanisms and economic inequalities.

Fiscal Mechanisms That Influence Inequality Indicators

Informality and Wages

Similarly, regressive tax systems transfer the burden of economic sacrifice to the weaker segments of society through low wages, as noted by Bird and Zolt (2005) and Tahlova and Banociova (2020). Consistent with the views of Galindo and Ríos (2015) and Koske et al. (2012), labor income in underdeveloped countries is insufficient for wealth accumulation through investments or fixed assets. The resulting increase in the prices of goods and services distorts the intended redistributive nature of taxation, leaving inequality levels unchanged before and after taxes are paid. Therefore, misguided economic policies can simultaneously exacerbate inequality and hinder economic growth (Stiglitz, 2012).

For one segment of the population, informality reflects exclusion from income redistribution, forcing individuals to seek livelihoods informally. For others, high tax burdens imposed as a means of achieving greater redistribution induce tax evasion and avoidance, thereby deepening inequalities. A political system that favors the wealthy over the poor further aggravates income disparities and promotes informality (Esaku, 2021).

When inequalities stems from reduced or neglected income distribution, the informal economy emerges as an efficient and effective, short-term alternative to address employment shortages. The informal economy compensates for what the formal economy fails to provide: greater income inequality promotes the expansion of informality, while the growth of the informal sector reinforces income inequality (Berdiev & Saunoris, 2019). In his seminal work, Capital in the Twenty-First Century, Thomas Piketty (2013) asserts that unemployment is one of the primary sources of inequality.

Gross Domestic Product (GDP)

In principle, the relationship between economic growth and inequality is inverse; higher growth tends to create greater wealth (Motahar & Mamipour, 2025). However, according to Alamanda (2021), this outcome is only possible through redistributive policies. Their findings show that an increase in GDP pushes the Gini index up, thereby widening income inequality. Conversely, Marrero and Servén (2022) argue that economic growth reduces poverty. Considering income levels, Villanthenkodath et al. (2024) conclude that growth diminishes inequality in high-income countries but exacerbates it in middle- and low-income economies.

Taxes

Recent studies reveal that economic systems finance the state only to the extent that they receive direct benefits proportional to their economic sacrifice or direct social investment towards their own interests, which reinforces power structures and deepens inequalities. According to Wortel-London (2021), capital owners become more reluctant to contribute when taxes finance social goods aimed at the working class because the perceived personal benefit diminishes. From an ethical or social justice perspective, equality of opportunity aligns with the concept of “capabilities” proposed by Sen (2016).

From a strictly economic perspective, equality of opportunity can be understood on three levels: (a) equal access to education, (b) equal access to credit, and (c) equal treatment of all citizens by public administration, with impartial enforcement of regulations (Novales Cinca, 2011, p. 10). However, as Sen and Drèze (1995) emphasize, operationalizing the concept of “equity” remains complex, even when income, rather than consumption or wealth, is used as the primary measure.

Income Redistribution

Economic inequalities are intensified by the redistribution of income. Salazar Méndez and Waltember (2018) identify Latin America as the most unequal region in the world in terms of income distribution and redistribution. They emphasize that income redistribution is the most effective mechanism to curb disparities. Mirrlees (1971) highlights progressive tax systems as essential policy tools for achieving equality. Similarly, positive theory (Karabarbounis, 2011; Meltzer & Richard, 1981) posits that greater income inequality leads to higher redistribution rates.

Paradoxically, Sidgwick (2012) argues that redistribution and tax progressivity may reduce effort among the most productive workers, since wealthier individuals pay higher taxes. Karabarbounis (2011) further notes that elite groups seek to reduce taxes through direct transfers.

McDonald and Larson (2020) assert that the right to live with dignity should not depend on tax collection, particularly in societies with a weak tax culture and widespread tax evasion, avoidance, and shifting—all of which reinforce inequalities. Moreover, as Citi and Justesen (2021) argue that weak fiscal mechanisms can have adverse effects, turning public budgets into instruments that perpetuate inequalities rather than reduce them.

Transfers

Caminada et al. (2019, 2021) identified several ways to combat poverty, emphasizing transfers as the most essential instrument for redistributing income to the poorest households. These transfers “work as automatic stabilizers and will increase in times of economic downturn” (Caminada et al., 2019, p. 2). In turn, Panigrahi (2019) states that “The politics involved with subsides have immense emotional appeal than fulfilling the objective of social and economic justice.”

Arauco et al. (2013) and Bucheli et al. (2013) found that direct cash transfers and in-kind transfers—particularly those related to education, health, social assistance, and contributory pensions—are reflected in social spending. They conclude that combining both forms of transfer can bring the Gini index closer to zero.

Budget design plays a key role in this process. “[…] the state plays an important role in redistributing income by way of taxes and social transfers” (Jesuit & Mahler, 2017, p. 7). For example, subsidizing inadequate wages with housing, social, and other local services can improve equality and quality of life (Alkadry et al., 2019).

According to Gomo (2019) and Lehmann (2010), social transfers are particularly effective in reducing poverty but have a limited impact on inequality. Enami et al. (2019) argue that transfers effectively reduce inequality while taxes efficiently raise revenue without increasing poverty. However, they note that a progressive tax or transfer could increase inequality, whereas a regressive one could reduce it. Higgins and Lusting (2016) demonstrate this dynamic by showing that chronic poverty deepens when the poor pay more in taxes than they receive in transfers.

Economic Inequalities

Welfare

The selected proxy variable measures household well-being in relation to domestic violence and seeks to determine if income levels are associated with the prevalence of violence within the home. While research by Kebede et al. (2022) and Liu and Olamijuwon (2024) affirms that greater income inequality leads to higher levels of domestic violence, Stöckl et al. (2021) found that improving household economic conditions reduces violence.

Violence

The proxy variable used to measure violence is Homicide. It is so closely related to economic inequality that several studies use it as a predictor. Ouimet (2012) and, more recently, Schargrodsky and Freira (2021) conclude that inequality is the only significant and robust predictor of homicide in Latin America and the Caribbean.

Inequality

Economic inequalities persist largely due to the mismanagement of fiscal mechanisms. In many countries, high tax burdens fail to promote equality, instead reinforcing privilege. The true purpose of taxation—redistributing wealth and combating exclusion—is often obscured when political and business elites capture revenues and use them to consolidate their power and wealth, leaving little for the majority.

Jong-Song and Khagram (2005) warn that vulnerable populations often fall victim to bureaucratic coercion, which distorts the allocation of goods and services and creates new forms of exclusion. Similarly, Acemoglu et al. (2013) argue that political elites exploit corruption to capture state power and redirect social spending for personal benefit, thereby reinforcing inequality and perpetuating the concentration of power.

Beyond institutional analysis, some scholars offer a structural critique of the global economic model. Nadal (2020), cited by Rojas Merchand (2020), contends that inequality is not a byproduct but an inherent feature of capitalism, whose logic is based on capital concentration and the systematic exploitation of labor. This view aligns with that of Stiglitz (2012), who observes that the top 1 % of the global population owns what the remaining 99 % needs, severely undermining democracy and the rule of law.

In the same vein, Krugman (2011) argues that immense wealth shapes political systems, and Insulza (2011) warns that unfair wealth distribution causes structural harm to the democratic fabric. Casas Zamora et al. (2011) further emphasize that excessive wealth concentration widens social divides, erodes institutional legitimacy, and perpetuates privilege.

Despite the severity of the shared diagnosis, several authors have proposed ways to reverse these dynamics. For example, Keneck-Massil et al. (2021) advocate for a progressive fiscal architecture supported by institutional reforms that increase transparency and accountability. These reforms aim to strengthen income redistribution and reduce structural inequality.

Similarly, Acemoglu et al. (2013) acknowledge that the corruption effects on inequality vary according to a country’s level of development, enabling differentiated policy interventions. Thus, while there is broad consensus on the systemic nature of inequality and the distorting role of corruption, there is also room for emerging approaches that advocate for transformative and socially just taxation.

Poverty

Poverty—understood as the structural deprivation of the material resources and capabilities necessary to meet basic needs and exercise fundamental rights—remains a persistent, multifaceted phenomenon. One of its most incisive structural causes is the concentration of capital among elites, as it systematically distorts state functions and undermines distributive equity. Zang et al. (2023) argue that wealth concentration exacerbates poverty by weakening education systems, reducing the quality of public services, and intensifying income concentration in privileged sectors.

According to Rojas Merchand (2020), the concentration of economic and political power is a central mechanism of contemporary capitalism that is structurally linked to labor exploitation and the unequal accumulation of capital. Jong-Song and Khagram (2005) observe that, in contexts of pronounced inequality, elites design and maintain institutional frameworks that preserve their interests, producing chronic conditions of vulnerability and exclusion. Stiglitz (2012) build on this critique, warning that when the wealthiest 1% capture resources, democratic governance erodes and economic power dictates the rules of legal and institutional systems.

The instrumentalization of institutions in favor of dominant groups is well documented. Krugman (2011) denounces the influence of large fortunes on political systems, and Insulza (2011) emphasizes that the unjust distribution of wealth undermines the foundations of democracy. Similarly, Casas Zamora et al. (2011) argue that wealth concentration intensifies structural inequalities and restricts access to public goods. Acemoglu et al. (2013) further contend that monopolization of power systematically affects the rights of vulnerable populations.

Consequently, poverty should be understood not merely as an income deficit but also as the outcome of institutional designs that reproduce exclusion, perpetuate inequality, and legitimize the capture of the state by private interests.

Education and Literacy

Colclough (2012) and Rose et al. (2021) argue that education is causally related to social inequalities, driven by disparities in wealth, power, and status. Power (2021) highlights the paradox of education as both a cause of and a potential solution to inequality. Evans and Harshorn (2021), on the contrary, describe education as the most valuable redistributive mechanism. Similarly, Bernasconi and Profeta (2012) emphasize that public education and redistributive transfers should be the main pillars of social spending and investment.

Tang and Wang (2021) note that corruption-induced underinvestment in educational coverage and quality exacerbates inequality by limiting access to higher income levels and direct redistribution. This hinders stability, growth, and economic development (Adams & Klobodu, 2016). Similarly, corruption distorts tax systems in favor of the wealthy, making them regressive and inequitable (Sáenz-Castro & García-González, 2019).

Education emerges as one of the most effective fiscal mechanisms for reducing economic inequalities and promoting development. Gandhari (2021) argues that education breaks the vicious cycle of poverty and serves as a key pathway to equality. Without access to robust, high quality education systems, individuals face severe barriers to specialized, formal labor markets. As Reinders et al. (2021) observe, “Higher education is regarded as a key instrument to enhance socioeconomic mobility and reduce inequalities.”

From a critical perspective, literacy can also be perceived as a threat to the status quo in contexts dominated by hegemonic capitalist structures. When education fulfils its emancipatory function—liberating, questioning, transforming, resisting, and creating—it ceases to serve the interests of the dominant system and becomes an uncomfortable policy for those who benefit from exclusion. Gaining linguistic competence, understanding social realities, and becoming aware of individual’s rights challenge the very foundations that sustain poverty, inequality, and institutionalized subordination.

3. METHODOLOGY

Comparative Analysis for Countries with Different Income Levels

The analysis of fiscal efficiency in relation to economic inequalities across countries begins with a review of 150 articles retrieved from the Scopus database—each article addressing similar research objectives to this study. The most common methods used to examine the relationship between fiscal instruments and economic inequalities were descriptive statistics (35 studies), qualitative analysis (33 studies), ordinary least squares (27 studies), panel data (10 studies), generalized method of moments (10 studies), bibliometric analysis (6 studies), and multivariate regression (4 studies), among others.

This methodological overview underscores the novelty of this study, as it is the first to use an optimization approach to construct the FEPF. This approach strengthens the analytical and practical contributions to the field of fiscal efficiency.

The study adopts a quantitative, descriptive–comparative approach. A DEA model is developed using a linear programming and benchmarking^* algorithms to measure the relationship between the efficiency of various fiscal mechanisms and economic inequalities across countries with different income levels.

Variable selection was informed by an extensive literature review conducted in specialized databases, such as Scopus. The review identified studies whose titles, abstracts, or keywords explicitly examined the impact of fiscal mechanisms on reducing economic inequalities between countries. This variable selection also aligns with the monitoring of SDG 10, Reduced Inequalities, as the study aims to assess how fiscal policy decisions in the selected countries contribute to improving egalitarian conditions and opportunities (Jiménez, 2015).

The literature review yielded 240 relevant articles, including 75 that address fiscal mechanisms, 61 that focus on economic inequality, and 104 that encompass both dimensions. These studies span the period from 2010 to 2021. The following section defines the fiscal mechanisms and economic inequality variables analyzed to achieve the objectives of this study (see Figure 1).

Figure 1. Identification of variables for the study
Figura 1. Identificación de variables para el estudio
Source: Authors’ own work.

According to Hosseinzadeh et al. (2020), proxy variables were defined for the DEA model to specify fiscal mechanism inputs and economic inequality outputs (see Table 1).

The WBG’S country and lending classification was used to determine income levels. 16 countries were selected for analysis: four high-income (Germany, the United Kingdom, the United States, and Spain); four upper-middle-income (Colombia, Mexico, Brazil, and Russia); four lower-middle-income (India, Nicaragua, El Salvador, and Nigeria); and four low-income (Afghanistan, Haiti, Madagascar, and Uganda). The selection criteria were based on data availability, including only countries with complete information for all variables. This resulted in 176 cross-sectional data points across 16 countries and 11 observations.

For the comparative analysis, an efficiency assessment was conducted using a DEA. The fiscal mechanisms—Informal, GDP, Recaud, Contribuc, and Transf—represent the inputs, and the economic inequality indicators—VioFam, Homic, Gini, Pobrez, and Alfabet—constitute the outputs. The model was built using RStudio 4.0. Two annexes are provided at the end of the article: the RStudio code (Annex 1) and the complete database (Annex 2).

The DEA approach calculates a set of weights for each country that maximizes efficiency. This ensures that, when applied to other fiscal mechanisms, the resulting efficiency never exceeds 1. In other words, the model identifies the optimal combination of fiscal mechanisms for each country, maximizing its efficiency relative to the others, with an upper limit of 1. Countries located on the FEPF use a broad mix of fiscal instruments to reduce economic inequalities according to their income level.

This nonparametric method does not require assumptions about functional form or error distribution (Bogetoft & Otto, 2011). Instead, it measures efficiency relative to an “extreme” frontier constructed from the observed economic inequalities under the condition that all decision-making units lie on or beneath this frontier (Coelli et al., 2005; see Figure 2 and Table 1).

Figure 2. Identification and selection of the DEA method
Figura 2. Identificación y selección del método DEA
Source: Authors’ own work.

Formally, DEA applies mathematical programming techniques to estimate the relationships between multiple inputs and outputs for a set of Decision Making Units (DMUS), which, in this study, correspond to countries. A set of (n) countries is evaluated based on fiscal mechanisms (inputs) that influence (m) economic inequalities (outputs). Specifically, each fiscal mechanism j (where j = 1, 2, ..., n) is represented by the pair (Xj,Yj), where Xj = (x1j, x2j, ..., xmj) are the inputs and Yj = (y1j, y2j, ..., ysj) are the outputs. Both inputs and outputs are assumed to be strictly positive.

Given these sets of inputs and outputs, an aggregate term is established to represent overall economic inequalities, generalizing the input–output relationship globally as follows in Equation 1:

(1)

In Equation 1, µr and νi denote the weights assigned by the DEA and can be interpreted as the value of the outputs produced and the costs of providing the inputs, respectively. The only restriction on these weights is that they must be nonnegative, which offers flexibility in maximizing the ratio of total output to total input for each country. Thus, the DEA model is estimated as follows in Equation 2:

(2)

Subjet to Equation 3:

(3)

According to these constraints, the ratio of total output to total input must not exceed one for any of the observed units. The program’s objective is to determine the weights µr and νi that maximize the ratio of the unit under evaluation. Consequently, the relative efficiency of each country’s fiscal mechanism lies within the interval 0 < Eo ≤ 1.

4. RESULTS

Table 2 shows the relative and global efficiency indices for each DMU in 2020. A DMU is considered efficient if its efficiency index equals 1; otherwise, it is classified as inefficient.

According to the DEA model, the countries that demonstrated the highest performance in implementing fiscal policies—based on the defined mechanisms and their impact on reducing economic inequalities—were the United Kingdom, Germany, and Spain. This finding underscores the critical role of fiscal mechanisms in mitigating inequality, which is bolstered by robust political and institutional stability. In fact, higher inequality increases the likelihood of governmental crises. However, the adverse distributional effects of ineffective fiscal mechanisms can be mitigated by expansionary or well-designed fiscal stimulus programs, which substantially impact the reduction of economic inequality (Agnello et al., 2017).

The three least efficient countries are Madagascar, Uganda, and Haiti. These results suggest that lower institutional capacity is associated with higher economic inequality. This highlights the significant influence of the tax system on inequality and its remains a central concern for policymakers (Stephenson & Perea, 2018). In this regard, the closer a country’s efficiency score is to 1, the stronger its institutional governance and principal–agent alignment. Over time, these factors contribute to reducing internal economic disparities.

Similarly, Russia demonstrates strong performance with respect to the inputs and outputs defined in the study. Unlike top-performing high-income countries, Russia is classified as an upper-middle-income country yet outperforms the United States, a high-income economy. This suggests that relative and overall efficiency are not determined by income level but rather by institutional capacity reflected in improvements to social welfare, economic equality, and income redistribution. Consequently, while economic crises may increase inequality, they do not necessarily correlate with changes in national productivity (Ryvkin & Semykina, 2017).

Figure 3 illustrates the relationship between fiscal mechanisms and economic inequalities across countries. The figure displays the FEPF for 2020 (red line) and the data points near it correspond to the countries’ performance between 2010 and 2020. The graph visualizes the results summarized in Table 2, using output-oriented models that aim to maximize output levels while keeping input levels constant (Hosseinzadeh et al., 2020).

In this sense, countries located on the FEPF—namely the United Kingdom, Germany, Spain, and Russia—demonstrate optimal performance, which reveals a positive relationship between fiscal mechanisms (inputs) and economic outcomes (outputs). The more effective the fiscal mechanisms, the greater the reduction in inequalities. In contrast, Colombia, which is positioned below the frontier, is considered inefficient, though it belongs to a cluster of nations moving towards efficiency. This is not the case for Afghanistan, Madagascar, Uganda, and Haiti, which remain far from the efficiency frontier.

Figure 3. Fiscal efficiency possibility frontier in countries with different income levels, 2020
Figura 3. Frontera de posibilidades de eficiencia fiscal para países de diferente nivel de ingreso, 2020
Source: Authors’ own elaboration.

Figure 3 shows how efficiency is estimated based on the calculation of the DMUS and the FEPF (red line). The analysis evaluates fiscal mechanisms (inputs) in relation to economic inequalities (outputs) under the assumption of variable returns to scale. This approach acknowledges that some countries—particularly high-income economies—operate with increasing returns to scale, while others exhibit constant or decreasing returns, as observed in the remaining nations. Each point in the figure represents the level of fiscal mechanisms applied and the corresponding degree of economic inequality observed in a given country.

The figure also illustrates the relationship between resources (fiscal mechanisms) and results (reductions in economic inequalities). A process is considered efficient when it achieves the maximum possible result with the available resources or reaches a desired outcome with the fewest resources. Accordingly, the figure shows that greater fiscal investment does not necessarily translate into higher efficiency in reducing inequalities—as seen in the United States. In contrast, countries such as Russia, Spain, and Germany achieve more efficient outcomes in lowering economic disparities with relatively lower transfers.

Figure 4 ranks countries by income level and shows that the top three performers efficiently balance fiscal mechanisms and economic inequalities, reaching efficiency values close to 1: the United Kingdom (0.9995), Germany (0.9963), and Spain (0.9943). Russia (0.9856) follows closely behind, differing only in income classification. Mexico (0.9132), Brazil (0.9128), and the United States (0.9023) follow next in the ranking. Notably, the United States is a high-income country surpassed by three upper-middle-income economies. Colombia (0.8576) ranks eighth, with performance similar to that of Nigeria (0.8470) and Nicaragua (0.8047)—both lower-middle-income countries. El Salvador (0.7881) and India (0.7641) appear next, while the countries with the lowest efficiency levels include Afghanistan (0.7034), Madagascar (0.6957), Uganda (0.6783), and Haiti (0.6366).

Figure 4. Global efficiency rankings for countries with different income levels, 2020
Figura 4. Eficiencia global para el conjunto de países de diferentes niveles de ingreso, 2020 (Ranking)
Source: Authors’ own work.

5. DISCUSSION

Economic inequalities have long been a central topic in economic policy debates, with fiscal mechanisms serving as key tools for reducing disparities in income redistribution across countries. The relationship between these two concepts is a cornerstone of global economic discussions. Policymakers in each nation are deeply concerned about distributional outcomes and other objectives aimed at mitigating economic inequalities, especially in relation to income levels in other countries. High-income economies, such as the United States, Germany, the United Kingdom, and Spain, benefit from strong economic growth and sustainable public finances, which allows them to more effectively align their fiscal policies with the reduction of economic inequality.

In contrast, upper-middle-income, lower-middle-income, and low-income countries rely on the available fiscal tools to reduce economic inequalities. These include measures such as increasing general and specific tax collection (Russia, Colombia, Nicaragua, El Salvador, India, and Brazil); expanding social security contributions (Russia, Colombia, and Brazil); implementing progressive taxation (Mexico and Russia); and reducing fiscal uncertainty (Brazil). Many also increase public spending (Nigeria, Mexico, Brazil, Colombia, Russia, El Salvador, India, and Uganda), reduce public debt (Colombia, Nicaragua, El Salvador, India, and Madagascar) and introduce customs tariffs (Afghanistan, the United States, Mexico, and Haiti). These actions aim to reduce economic inequalities, particularly in lower-middle-income and low-income contexts.

The fiscal instruments used to address economic inequality vary widely across countries, reflecting differences in administrative, financial, and fiscal capacity. Advanced or high-income economies can more accurately project the impacts of transfers, tax revenues, and labor market policies. Conversely, developing countries and those in the lower-middle-income and low-income categories often lack the institutional sophistication necessary to provide complex mechanisms, which could exacerbate economic inequalities.

While Colombia occupies a middle position among the analyzed DMUS, it has made progress in developing fiscal mechanisms to reduce inequalities; however, efficiency remains limited. One possible explanation is that political and institutional decision-making processes do not reflect the level of trust required for the effective integration of fiscal and economic systems as drivers of growth and distributive policy (Benedikter et al., 2015). Similarly, Mexico and Brazil perform slightly better and surpass the United States—suggesting that it is not a country’s income level but rather the efficient allocation of resources the determining factor in the optimal combination of fiscal instruments to maximize societal benefits and reduce economic inequalities.

As mentioned, Colombia is in the middle in terms of efficiency among the countries analyzed. Compared to other upper-middle-income countries—such as Russia, Mexico, and Brazil—Colombia does not outperform any high-income country or its peers within the same income group. However, its performance exceeds that of all lower-middle-income and low-income countries. Colombia’s results are comparable to those of Nigeria and Nicaragua, and significantly outperform those of El Salvador, India, and Afghanistan. Nevertheless, its institutional capacity to manage fiscal mechanisms based on the principles of legality and ethics raises questions about its role in redistribution and social transformation, as taxation remains the primary means of ensuring collective welfare (Alkadry et al., 2019; Espinal et al., 2021).

In practice, the relationship between fiscal mechanisms and inequality reduction is direct but gradual, and is largely constrained by institutional decision-making processes (Gonareva et al., 2021; Lansing & Markiewicz, 2013). Although the fiscal framework is designed to be fair and equitable, the opposite occurs in practice: income inequality, poverty, and tax evasion remain constant. These issues erode public confidence in the fiscal system’s ability to improve redistribution, ultimately limiting its alignment with the population’s social and welfare needs (Espinal et al., 2021; Karakotsios et al., 2020).

6. CONCLUSIONS

The DEA model assesses how effectively fiscal mechanisms optimize the reduction of economic inequalities through the FEPF. While the model reveals a positive relationship between inputs and outputs, being a high-income country does not guarantee efficiency, as demonstrated by the United States. Similarly, upper-middle-income countries tend to converge towards efficiency; however, their progress is often hindered by limited institutional development and weak trust relationships between the government and taxpayers. The variables that most influence economic inequalities across all countries are Income distribution, Poverty, and Equity, with the latter significantly affecting the first two.

The countries with the best fiscal policy performance in reducing economic inequalities are the United Kingdom, Germany, and Spain. In contrast, Madagascar, Uganda, and Haiti are the least efficient countries and support the hypothesis that lower institutional capacity correlates with higher economic inequality (Krugman, 2020).

Russia stands out as a strong performer among upper-middle-income countries, surpassing the United States. As a high-income country, the United States would be expected to achieve greater efficiency. These two cases reveal a discrepancy with the rest of the sample, most of which display below-average performance, including Colombia. Similarly, Mexico and Brazil, the next best-performing countries, also exceed the United States, reinforcing the conclusion that efficiency depends on the strategic allocation of resources rather than income level, enabling a more effective combination of fiscal instruments to narrow economic inequality gaps.

Colombia occupies an intermediate position in terms of efficient performance. Compared to similar upper-middle-income countries, such as Russia, Mexico, and Brazil, it does not reach their average efficiency levels or those of high-income economies. Nevertheless, Colombia outperforms low-income and lower-middle-income countries. To improve its performance, Colombia must strengthen social investment projects that promote territorial integration and guarantee citizens access to essential public services.

A critical variable to consider in future research is corruption arising from tax reductions, such as exemptions, credits, and deductions. These reductions are often designed to favor large capital groups under the premise of stimulating employment and development. However, as these measures have not resulted in significant reductions in unemployment (Espinal et al., 2021), they may become a fiscal mechanism that exacerbate inequalities by reducing effective tax rates and weakening income redistribution. As Jong-Song and Khagram (2005) noted, inequality driven by corruption is associated with both lower tax rates and reduced government transfers and subsidies. Likewise, evidence suggests that the impact of inequality on economic growth can, at least in part, be explained as an underlying effect of corruption.

CONFLICTS OF INTEREST

The authors declare no financial, professional, or personal conflicts of interest that could have inappropriately influenced the results or interpretations presented in this study.

AUTHOR CONTRIBUTIONS

All authors contributed significantly to the development of this article, including its design, conceptual framework, methodology, data analysis, and manuscript writing and revision.

FOOTNOTE

• arrow_upward ^* Benchmarking identifies the key characteristics of a process and compares them with those of another process, evaluating performance based on empirical data. This comparison informs the development of continuous improvement measures, the introduction of planned changes, and the monitoring of their efficiency over time (Gutiérrez Ortiz, 2010).

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ANNEXES

Annex 1

Annex 2