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## BAR - Brazilian Administration Review

##
*On-line version* ISSN 1807-7692

### BAR, Braz. Adm. Rev. vol.6 no.2 Curitiba Apr./June 2009

#### http://dx.doi.org/10.1590/S1807-76922009000200005

**ARTICLES **

**Differentiation of municipalities in São Paulo state based on constitutional transferences and income tributary taxes**

**Maria Aparecida Gouvêa ^{I,}^{*}; Milton Carlos Farina^{II}; Patrícia Siqueira Varela^{III}**

^{I}E-mail address: magouvea@usp.br Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo - FEA/USP São Paulo, SP, Brazil

^{II}E-mail address: milton_farina@uol.com.br Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo - FEA/USP São Paulo, SP, Brazil

^{III}E-mail address: psvarela@usp.br Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo - FEA/USP São Paulo, SP, Brazil

**ABSTRACT **

This paper is part of a large study that combines several groups of municipalities in São Paulo State that are analyzed through multivariate statistical techniques. This study is intended to indicate whether the variables per capita transfer amounts from the Municipalities Participation Fund [MPF], Product and Service Circulation Tax Quota [ICMS] and collected tributary income have different average values among the municipalities of São Paulo State that present different economic and social situations according to the social responsibility index. The evaluation was carried out by multivariate analysis of variance. The results show that the tributary income has the greater difference of average among the groups. It was also found that MPF distribution criteria are applied differently and contribute to the available income fairness, giving support to local governments in the development of public policy.

**Key words:** municipalities; public revenues; São Paulo state index of social responsibility.

**INTRODUCTION **

In federalist systems, there are several reasons for the existence of intergovernmental transferences, such as: dealing with the absence of matching between means of obtaining incomes and with needs of expenses of the local governments, approaching the horizontal iniquities, supply compensations to local governments by benefits generated for the population outside of its jurisdiction, influence the subnational policies of taxation and expense, among others. In order to reach its various objectives, a system of transference should be appropriately designed because otherwise there could be some undesirable results in terms of social welfare. The criteria for transferences are a delicate matter and, in Brazil, they have been the focus of discussion among a number of authors, such as Campello (2003), Gasparini and Melo (2003), Lopes and Arvate (2006) and Arvate and Mattos (2007).

One of the main questions concerning the reform of the State in the last few decades has been the radical change of the rule relative to the social division of work, i.e., in the responsibility assumed by the municipalities and by the private sector to produce goods and services that were once considered an occupation of the national State (Oszlak, 1998, p. 53).

In the case of the municipalities, the decentralization movement has been a strategy used both by the process of State reform as well as by the re-democratization process in the country, favoring the transference of power, resources and assignments to the local governments.

The municipalities, with the Federal Constitution of 1988, gained greater political and administrative autonomy and assumed new assignments in the social area and in the promotion of the economic development within their areas and also assumed the challenge of establishing new forms of relationship with civil society with the objective of strengthening democracy.

Local governments had been the main beneficiaries of the fiscal decentralization that was initiated in the second half of the seventies and strengthened by the Constitution (Constituição da República Federativa do Brasil*, *1988), over all with the magnifying of the federal and state transfers to these federal agencies. The federal, Municipalities Participation Fund and the state [MPF], Product and Service Circulation Tax Quota [ICMS] were the main transfers made to the municipalities.

For a great many of them, these two constitutional transfers represent the most significant source of funding of their expenditures. Bovo (2001, p. 114) affirms that for more than 3,000 of approximately 5,550 Brazilian municipalities, 90 percent of their resources come from the constitutional transfers, especially from the MPF.

It should also be pointed out that the main municipal taxes - Service Tax [ISS] and Tax on the Urban Land Property [IPTU] - have a better potential in the medium size and large municipalities. Moreover, in the transfer criteria of the Product and Service Circulation Tax Quota to the municipalities (25 percent of the total collected by the state), the intensity of the economic production exerts great influence, i.e., the transferred amounts are related to the capacity for generating wealth in the municipal scope. "the preponderant logic of this tax is to reward the municipalities that are more successful economically" (Abrucio & Couto, 1996, p. 44).

Thus, the distribution criteria of the resources that compose the MPF cause significant impacts in the finances of the small municipalities. According to Annex II, article 161 of the Federal Constitution of 1988, it is the duty of the complementary law to establish rules on the delivery of the MPF resources in order to promote the social and economic equilibrium among the municipalities. The main criterion of the MPF sharing currently being used is the size of the population. However, questions are raised as to whether this criterion is efficient when it comes to social and economic equilibrium, bearing in mind that the differences from one municipality to another are not exclusively restricted to this one factor, but are also based on the economics, the level of urbanization, physical conditions, capacity for collecting the tributary income, among others factors, beyond the adequate management of the resources by the municipality.

The analysis of the reality of the local governments of the state of São Paulo, as seen in the São Paulo Index of Social Responsibility [IPRS], indicates the existence of groups of municipalities with different combinations of wealth levels and longevity and educational indicators (Fundação Sistema Estadual de Análise de Dados [SEADE], 2005a, p. 10). One of the hypotheses raised is that the MPF distribution influences the classification of the different groups of municipalities when serving as an income redistribution mechanism.

Taking as a basic assumption that the largest municipalities possess greater economic production and, consequently, collect more tributary income and receive larger transfers from the ICMS, the MPF transfer must favor the small municipalities. Considering this, the following guiding question was set for this study: Do the variables (I) *per capita *tributary income, (II) *per capita *ICMS participation *quota *and (III) *per capita *MPF differentiate São Paulo's municipalities groups established by the IPRS?

The objective of this work is to verify whether some groups of São Paulo's municipalities, established by the IPRS, possess different averages of MPF transfers, ICMS participation quotas and collected tributary income in *per capita *terms. Moreover, the verification of the existing relation between the set of these variables and the classification of municipalities according to the IPRS is studied.

A contribution is expected to be made to the debate on the adequacy of the distribution criteria of the Municipalities Participation Fund [MPF] and for the deepening of the knowledge of the reality of São Paulo's municipalities. In particular, the intention is to indicate the most relevant public income variables to sort the five groups of municipalities and to indicate whether the *per capita *MPF transfer makes the conditions of social investments among them more equitable since the groups of municipalities studied possess different levels of wealth and, consequently, different fiscal capacities and participation in the ICMS participation quota in *per capita *terms.

**MUNICIPALITIES PARTICIPATION FUND [MPF]**

The central characteristic of the Brazilian experience regarding the decentralization process was incongruence, with consequences such as the increase of inter and intra-regional socio-economic inequalities and non adequacy of the distribution of assignments to the three federative spheres by the Federal Constitution of 1988, implying the coexistence of omissions or functional overlapping (Affonso, 1996, p. 9). It was like that because the decentralization process that began in the late seventies was commanded by the states and, mainly, by the municipalities, in the re-democratization context, and not by the federal government (Affonso, 1996, p. 5).

Notwithstanding the non definition by the Constitution regarding the split of competences, states and municipalities ended up assuming new responsibilities due to the biggest volume of available resources introduced by the fiscal decentralization, by the reduction of federal expenditures and by the pressures of civil society (Affonso, 1996, p. 9).

As in Abrucio and Couto (1996, p. 40), the municipalities started to face a double challenge: to assure minimum social welfare conditions for its populations (Welfare Function) and to promote economic development based on local actions in partnership with civil society (Development Function).

For the authors, the challenges confronted were influenced by three parameters: the federative fiscal structure, the socio economic differences among the municipalities and the municipality typical dynamic policy (Abrucio & Couto, 1996, p. 40).

The fiscal decentralization process that began in the seventies and which gained volition in the early eighties was carefully examined by the Federal Constitution of 1988. Its main consequences were the increase of the sub-national units' power to tax in its own jurisdiction and the increase of available resources not entailed to the municipalities as a result of the constitutional transfers, including the Municipalities Participation Fund [MPF] and the participation in the income of the Product and Service Circulation Tax Quota [ICMS] (Abrucio & Couto, 1996, p. 42).

Although the local governments have increased their fiscal capacity, this process did not occur homogeneously among the diverse Brazilian municipalities. Bovo (2001, p. 114) emphasizes the fact that the sources of taxation for the main municipalities are based on the Service Tax [ISS], the Tax on the Urban Land Property [IPTU] and in the Tax on the Real State Property Transference [ITBI], taxes that present a greater potential of collection in the medium and large municipalities, since in the small ones, with a largely agricultural base, the urban property is of little significance and the services sector is not expressive.

"An aggravating to this fact is the insufficiency of existing reallocation mechanisms, especially at the municipal level" (Abrucio & Couto, 1996, p. 43). The resources transferred by the Exchequer and by the states to the municipalities should serve as mechanisms to provide equitable conditions to Brazilian municipalities to face the new social assignments. However, this does not always happen, as in the case of the ICMS participation quota that rewards the more economically successful municipalities (Abrucio & Couto, 1996, p. 44).

In this case, the reallocating effectiveness or inefficacy of the Municipalities Participation Fund [MPF] has a heavy influence on the municipal performance in the social area. The MPF is a constitutional transfer made by the Exchequer to the municipalities, with this fund being composed of 22.5% of Income Tax [IR] and Tax on Industrialized Products [IPI] collection.

The transfer of the resources that compose the MPF is divided into three parts:

1. 10% of the total MPF is distributed to the state capitals in accordance with coefficients that take into consideration the size of the population and the inverse of the

per capitaincome of the respective state.2. 86.4% of the total MPF is distributed to the municipalities of the countryside, in accordance with coefficients defined by population range as in Decree n. 1,881/81 (Decreto-Lei nº 1,881, 1981).

3. 3.6 percent of the total MPF is earmarked for the Reserve of the Municipalities Participation Fund that is distributed among the countryside municipalities with a coefficient of 4.0 up to 1998 and 3.8 since the fiscal year of 1999. The resources that belong to the reserve are a complement to the amount received as in the previous item and the distribution occurs in accordance with the coefficients that take into consideration the size of the population and the inverse of the

per capitaincome of the respective state.

In the three cases, the participation of each municipality is given by the ratio of its coefficient by the sum of the coefficients of the Brazilian municipalities that integrate each specific group.

According to paragraph 4 of Article 91 of Decree n. 1,881/81 (Decreto-Lei nº 1,881, 1981), the limits of the ranges of number of inhabitants will be readjusted whenever, by means of a general demographic census, the total population of the country is officially known, establishing the percentage increase on the basis of the immediately previous census.

In accordance with paragraph 1 of Article 1 of Complementary Law n. 91/97 (Lei Complementar n. 91, 1997), the quotas of the municipalities based on the official population data produced by the Brazilian Institute of Geography and Statistics Foundation [IBGE] will be reviewed annually. However, paragraph 2 of the same article, establishes the maintenance of the participation coefficients of 1997's MPF for the municipalities that show a reduction in their coefficients due to loss of population as per the IBGE's estimates. The additional profits that result from this decision have gradually been eliminated since 1999, with complete elimination forecast for 2008.

Abrucio and Couto (1996, p. 43) evaluate the MPF distribution criteria as being of little efficiency. Therefore, they consider the income criterion only for the large municipalities and state capitals.

In the other municipalities, the main criterion for the distribution of the resources that compose the MPF is the size of the population. Indeed, the coefficients of municipality participations are established by population ranges and not by a specific number, as seen in Table 1.

The amplitude of the ranges and the fact that the coefficients do not increase in the same ratio as the increase of the population ranges leads to great differences among the municipalities, if the *per capita *MPF is considered, favoring the smaller municipalities.

For example, according to data of the National Treasure System (Sistema do Tesouro Nacional [STN], 2007), 86 of the 516 São Paulo municipalities received R$ 2,176,261.73 of MPF transfer in 2004. Considering these 86 municipalities, the smallest municipality of this group (Nova Castilho) had a population of 1,020 inhabitants; therefore, it received an annual *per capita *MPF of R$ 2,133.59, while the biggest city of the group (Valentim Gentil), with a population of 9,990 inhabitants received an annual *per capita *MPF of R$ 217.84. The difference is due to the attribution criterion of a same MPF amount to municipalities with very different population sizes, but pertaining to the same population range with great amplitude of number of inhabitants. These inequalities happen for all the amounts of MPF income referring to diverse ranges.

Excluding the municipality of São Paulo since it is the capital, Osasco received the highest MPF total amount, R$ 28,212,304.42; on the other hand, considering the *per capita *distribution, this municipality received one of the lowest amounts, R$ 40.54; this is because the MPF amount does not increase in the same ratio as the size of the population.

There is a trend for the larger municipalities to receive lower *per capita *amounts from the MPF. In this case, the less populous municipalities would have a higher capacity to invest in the social area than the most populous ones. However, this analysis needs to be done carefully. Therefore, there are differences as per the fiscal capacity of the municipalities and as per the management of the benefits resulting from the distribution of the ICMS participation quota.

**SÃO PAULO INDEX OF SOCIAL RESPONSIBILITY**

In the public sector, there have been several initiatives and experiences of the use of social indicators. The best known of these is that of the United Nations [UN], which in the nineties created the Index of Human Development [IHD], which was innovative when introducing, at its conception, the longevity and education variables, in addition to income, to compare the degree of development for countries.

Other experiences resulted from the IHD, as it is the case of the São Paulo Index of Social Responsibility [IPRS]. This index was developed by the Fundação SEADE (SEADE Foundation), an agency of the São Paulo government, in reply to the request of the leaders and council members of the São Paulo Forum - Century XXI for the development of indexes that enabled them to continuously monitor the progress or lack thereof of the development São Paulo's municipalities in the direction desired by society and widely discussed within the Forum.

One of the purposes of the IPRS is to classify the municipalities of São Paulo State according to the quality of life of its inhabitants. In order to achieve this, the three dimensions enclosed by the IHD were considered (income, longevity and education), but using other variables more suitable to municipal reality. The initial idea was to use indicators that not only permitted the evaluation of the results and efforts undertaken by the public authorities in favor of local development, but also allowed the measurement of the degree of participation and control of civil society in such actions.

For the attainment of this index, the municipalities of the State of São Paulo were classified into groups with similar characteristics of wealth, longevity and education through cluster analysis, groups with the following denominations: (1) pole municipalities, (2) economically dynamic, but of low social development, (3) healthy municipalities, but of low economic development, (4) of low economic development and in social transition and (5) of low economic and social development.

The variables considered in each one of the dimensions of the IPRS and the corresponding weighting structure are synthesized in Table 2.

The synthetic indicator of each dimension is the result of the combination of the variables, being that each one's weight in the related combination was obtained through Factor Analysis.

The SEADE Foundation synthesized the indicators of municipal wealth, longevity and education in categorical scales, which express the **general standard **of the groups created. The synthesis of the criteria adopted for the formation of the groups of municipalities by the IPRS is described in Table 3.

Through Table 3, it is possible to notice the different combinations among levels of municipal wealth and social indicators. Therefore, it provides answers as to whether the governmental transfers, especially the MPF, are helping to make investment conditions more equitable for these groups of municipalities.

**METHODOLOGICAL ASPECTS**

The methodological procedures are presented in the following sections.

**Population**

The population studied corresponds to those from the capital and from the countryside municipalities of the state of São Paulo belonging to the five groups that are of analysis interest. The specificity of the five groups of the IPRS demonstrate the possibility of a differentiated distribution of the MPF, the ICMS participation quota and tributary income. For this reason, the analysis of these groups is of great importance and interest.

**Data Collection**

Data were collected for the four variables: MPF, ICMS participation quota, Tributary income and IPRS Groups of Municipalities.

The IPRS data were collected from the SEADE (2005b) and refers to 2002 and to all the municipalities of the state of São Paulo, i.e., to all 648 São Paulo municipalities. The data of the three sources of public income, collected in the fiscal year of 2004 were retrieved from the website of the STN (2007) and are relative to 518 São Paulo municipalities.

**Previous Treatment of Data**

With the intention of checking the significance of the difference of the *per capita *values of this public income in the five focused groups, as well as identifying the variable with greater discrimination ability among these groups, the statistical technique of the multivariate analysis of variance was applied.

In this context, the independent variable is named IPRS, which identifies the set of municipalities of groups 1, 2, 3, 4 and 5 of IPRS, and the dependent variables are the *per capita *MPF, the *per capita *ICMS participation quota and the *per capita *tributary income values.

For the right application of the multivariate analysis of variance technique, it is necessary to verify the attendance of some of its inherent premises. Such basic assumptions can be summarized in four items: (1) absence of outliers (atypical observations), (2) normality of the dependent variables, (3) absence of multicollinearity among the dependent variables and (4) equality in the dispersion matrices.

Before verifying all of these conditions, the analysis of the missing data was conducted. The following sections present the analysis of missing data and the verification of these premises.

**Treatment of the Missing Data **

In relation to the missing data, the researcher must concentrate on the causes that generated them (Hair, Black, Babin, Anderson, & Tatham, 2006, p. 49). In the case of the STN, information for all of the 648 municipalities of São Paulo simply did not exist. There was information on only 518 of them. According to Hair *et al. *(2006, p. 59) the simplest and direct treatment to deal with missing data is to include in the study only the observations with complete data, and this was the decision taken for this study.

**Treatment of the Outliers (Atypical Observations) **

Among the 518 municipalities, two of them indicated errors in the data entry, with highly discordant values of total MPF (Bento de Abreu and Ouroeste). As a result, the treatment of the atypical observations was given to a total of 516 municipalities.

The method for detection of outliers used was the Mahalanobis measure, which is recommended in multivariate contexts (Hair *et al.*, 2006, p. 77). In the simultaneous treatment of the three *per capita *public income variables, a mean center of all observations was calculated. Then the distance between each municipality and the mean center was obtained. Each distance was compared with a critical *t*-distribution value. The municipalities Paulínia, Águas de São Pedro and São Paulo were considered outliers because their distances exceeded this critical value.

After the analysis of the missing data and outliers, the total sample resulted in 513 municipalities: 61 in group 1, 70 in group 2, 154 in group 3, 153 in group 4 and 75 in group 5.

The three public income variables were standardized using the Z-scores method.

**Normal Distribution **

Adherence tests to the normal Kolmogorov-Smirnov curve were done for the dependent variables *per capita *that had been transformed through the Z-scores standardization method and natural logarithms. The transformation through natural logarithms was necessary in order to find a better fitting to normal distribution.

The variables *per capita *MPF, the *per capita *ICMS participation quota and the *per capita *tributary income reached the following significant levels: .051, .324 and .099, which confirm the adherence to normal distribution. The notations MPF, ICMS and income used in the following sections refer to these variables *per capita*, standardized and with natural logarithm transformation.

**Multicollinearity **

Firstly, the correlations between pairs of variables are given in Table 4:

The correlations that can be considered high, in absolute value, are: ICMS with MPF (.436) and Income with MPF (-.567). The correlation between ICMS and income can be considered low (-.088). The results show that the resources coming from the Exchequer (MPF) and from the State (ICMS) present an expressive and positive correlation, i.e., municipalities with higher resources from the Exchequer also have higher resources from the State and vice versa. The MPF resource correlates negatively with the Income, i.e., the greater the municipality's own resources, the fewer the number of resources that come from the Exchequer.

Concerning to the assumption that the ICMS rewards the more economically successful municipalities, the *per capita *data indicate the opposite; such variable and the income correlate negatively, although the value is considered low.

The use of multivariate analysis of variance (MANOVA) is based on the fact that the dependent variables are supposed to be correlated. Therefore, a certain degree of multicollinearity is desired. The tests of Bartlett and Roy-Bargman Stepdown will be used to evaluate the intensity of the multicollinearity.

According to Bartlett´s test, the chi-square value is 276.585, with a significant level equal to .000, indicating the rejection of the hypothesis that the correlation matrix in Table 4 is equal to the identity matrix. This result is adequate for the use of MANOVA. Table 5 presents the results of the Roy-Bargman Stepdown test.

Table 5 shows that for each variable the hypothesis of equality of means along the five groups is rejected when the other variables are included. Thus, each one of the dependent variables has incremental discriminatory power and contributes toward distinguishing the five groups. Therefore, the intercorrelation among the three variables does not characterize a high degree of multicollinearity. The result of this test is favorable to the use of MANOVA.

**Test of Equality of Variances **

The **Box'M **test presented a significance of .024, i.e., H0 is rejected, with a significant level of .05. Thus, the variances and covariances are not equal in the five groups, which is not in compliance with one of the premises of the MANOVA. The sensitivity of the **Box'M **test to the size of the sample makes it a very liberal test and the analysis can continue when the hypothesis is confirmed for lower significant levels, under 2.4%, in this case (Hair *et al.*, 2006, p. 409).

To test the homogeneity of variance assumption for each variable in the five groups, Levene's statistics were used. It was found that the variances can be considered equal, for a significance level of 0.05, with the exception of the variances of groups in the income variable. It should be noted that if a more conservative significance level, under 3.7%, is used, even for the income variable, the variances could be considered equal in the five groups.

Thus, in a general way, all the premises have been confirmed for the use of MANOVA.

**ANALYSIS OF RESULTS**

The central question inherent to MANOVA can be synthesized as follows: do the variables MPF, ICMS and Income discriminate groups 1, 2, 3, 4 and 5? In other words, are the means of each one of these variables different in these five groups?

In this section, some univariate statistics will be presented first, followed later by the statistics in the multivariate context.

**Descriptive Statistics**

Table 6 shows some descriptive statistics in each group.

It can be seen that in groups 1 and 2 the means of the MPF are negative and the means of income are positive. The opposite occurs in groups 3, 4 and 5.

The negative mean MPF indicates less transfer of this income to the municipalities that are considered richer. The wealth is proven by the positive means of income. The opposing reasoning occurs with the analysis of the means of groups 3, 4 and 5 which are classified as being of low wealth, i.e., have positive MPF means and negative income means.

Although the variable means demonstrate differences among groups 1, 2, 3, 4 and 5, it can be seen that the standard deviations have very high values, demonstrating great heterogeneity within each group. For a correct comparison of the group's means for each variable, the test of means equality was conducted. Section Equality of Means Multivariate Test will exhibit the results of the means equality test.

**Multivariate Analysis**

**Mapping of Variables **

Two ranges have been defined for each variable. The multiple correspondence analysis was processed in order to have an idea of the relationship among the variables. The range transformation of the variables turned them into a non metric scale, which is a characteristic of the variables in multiple correspondence analysis. Figure 1 provides the relationship among the ranges of the variables and the five groups.

Suffixes 1 and 2 correspond to ranges 1 and 2, where the code 2 refers to the higher values of each variable. It should be noted that groups 1 and 2 of IPRS have the higher values of income and the lower values of MPF. The opposite situation occurs in groups 3, 4 and 5. This figure suggests that the variables, considered collectively, have the differentiation power of the five groups.

**Equality of Means Multivariate Test **

The statistical hypothesis (H_{0}) corresponds to the equality of the means vector of the three variables throughout the five groups.

versus H_{1}: at least one group has different mean.

Table 7 presents the results of the multivariate test of means equality.

Table 7 contains the four multivariate tests that are more used in MANOVA. The results of each one of them indicate the rejection of H0, i.e., the set of public incomes have a highly significant difference among the five groups of municipalities.

The statistical power obtained in these tests is equal to 1.00. Therefore, the group sizes and the effect sizes of these groups on the dependent variables (the public incomes) are sufficient to ensure that the significant differences would be detected if they existed beyond the differences due to a sampling error.

Although it was shown that the set of public income outcomes differs across the five groups, it is also necessary to examine each public income outcome separately for differences across the five groups. Table 8 contains the univariate tests for each individual public income outcome. According to Table 8, the means can be considered different across the groups, using significance level of .05.

The variable Income has the higher value for F statistics. Thus, the income is the variable that has the higher discriminating power of the five groups, followed in the rank by the MPF variable.

Table 9 presents the relationship among the groups for each dependent variable, according to *post hoc *Scheffé's multiple comparisons tests. These tests were carried out due to the rejection of the hypothesis of equality of the means of the variables across the five groups.

**CONCLUSIONS**

The aim of this article was to show whether the groups of São Paulo's municipalities, established by the São Paulo Index of Social Responsibility, are distinguished by the *per capita *transfers amounts of the MPF, ICMS participation quota and Tributary Income collected.

The interest in comparing municipal income was raised after the verification of different economic and social levels across the groups, the objective of the study being to question whether the governmental transfers, over all the MPF, would be contributing to make the investment conditions more equitable across the groups.

The volume of available resources locally for application in the social and economic areas depends on the fiscal capacity of each municipality and on the existing mechanisms for redistribution of resources. Given the biggest capacity of the larger municipalities to collect their own incomes due to the characteristics of the municipal taxes, one expects the participation criteria of municipalities in the Exchequer's and the state's income to be efficient when it comes to redistribution. However, in accordance with the literature review, this is not always the case.

The average of three public incomes analyzed, *per capita, *is different among the groups. The groups 1 and 2 present higher *per capita *Tributary Income and lower value of *per capita *MPF when compared to the other groups.

The analysis of the relationship among the variables indicates that the higher the fiscal capacity of the municipalities, the lower their *per capita *share of the MPF will be and their share of Tributary Income *per capita *will be higher.

The MANOVA shows that the variable *per capita *Tributary Income is the one that best discriminates the groups of municipalities.

It can also be said that the MPF distribution criteria may be helping to make the available income equitable to certain municipal governments to face the challenge to assure minimum social welfare conditions and to promote economic development locally.

The MPF criteria helps to bridge horizontal iniquities, in other words, generating equitable conditions for the municipalities to promote social welfare in its communities. However, this last point depends on the capacity for transformation of the available resources into public property that be adjusted to meet the needs of the population, which is considered one of the great advantages of decentralized systems, and on the way by which the distributive function is performed in each municipality. It is important to emphasize that reducing the iniquities among the municipalities does not necessarily mean resolving the problem of social and economic differences between citizens.

The big cities receive fewer resources through transferences because the gap between capacity of collection and need of expenses is smaller.

However, neither can it be affirmed that this fact repeats itself among other groups of Brazilian municipalities. Thus, a repetition of the analysis in other selections of municipalities groups is recommended.

Another suggestion is related to the classification of the municipalities made by the SEADE Foundation. Perhaps it would be interesting to include as a criterion for grouping the municipalities not only their capacity for generating wealth but also the availability of resources to carry out their public policies.

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Received 24 June 2008; received in revised form 15 December 2008.

* Corresponding author: Maria Aparecida Gouvêa Av. Prof. Luciano Gualberto, 908, sala E110, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.