Flypaper Effect and Fiscal Laziness: An Analysis of Municipal Collection Efficiency in Relation to Voluntary Transfers Received
DOI:
https://doi.org/10.51341/cgg.v26i1.3018Keywords:
Flypaper Effect, Voluntary Transfer of Resources, Data Envelopment AnalysisAbstract
Objective: This study aims to analyze to what extent the voluntary transfer of financial resources explains the efficiency in collecting municipal taxes.
Method: In order to achieve this objective, the effects of the flypaper effect of voluntary transfers of resources on the efficiency of municipalities in carrying out the expected collections were considered. In other words, the increase in transfers is expected to reduce the municipal effort to collect its revenues and, consequently, decrease the collection efficiency scores. The 399 subjects in Paraná were analyzed in the interstice between 2018 and 2019, using Data Envelopment Analysis (DEA), for measuring efficiency, correlation analysis and Multivariate Regression Test.
Results: The set of results found indicate that, in fact, there is an inversely proportional relationship between voluntary transfers received and efficiency in fundraising, consistent with the implications predicted by the flypaper effect.
Originality/Relevance: In view of these findings, it is assumed that the article brings innovations regarding the analysis perspective to identify the flypaper effect, in addition to fostering discussions about the consequences that the absence of revenue review may have on the collection of taxes by society
Theoretical/methodological contributions: Furthermore, it should be emphasized that the reflexes inherent to the phenomenon of the flypaper effect are not only related to the values that enter the municipal coffers, but to the efficiency of the entity in collecting these values. This component allows you to evaluate revenues by weighing the inputs needed to earn them.
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References
Banker, R. D., Charnes, A., Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, v. 30, n. 9, p. 1078-1092.
Batóg, B., & Batóg, J. (2021). Regional Government Revenue Forecasting: Risk Factors of Investment Financing. Risks 9, no. 12: 210. https://doi.org/10.3390/risks9120210
Becker, J., Hopp, D., & Kriebel, M. (2020). Mental accounting of public funds – The flypaper effect in the lab. Journal of Economic Behavior & Organization, 176, 321-336. https://doi.org/10.1016/j.jebo.2020.04.026
Bezerra Filho, J.E. (2021). Contabilidade Aplicada ao Setor Público: abordagem objetiva e didática. (3 ed). São Paulo: Atlas.
Bogetoft, P., & Otto, L. (2022). Benchmarking with DEA and SFA, R package version 0.30.
Caetano, C., Ávila, L., & Tavares, M. (2017). A relação entre as transferências governamentais, a arrecadação tributária própria e o índice de educação dos municípios do estado de Minas Gerais. Revista De Administração Pública (Rio De Janeiro), 51(5), 897-916. https://doi.org/10.1590/0034-7612174433.
Diniz, J., De Lima, R., & Martins, V. (2017). O Efeito Flypaper no Financiamento da Educação Fundamental dos Municípios Paraibanos. Administração Pública E Gestão Social, 1(2), 95-104. https://doi.org/10.21118/apgs.v1i2.5041
Ehrgott, M., Holder, A., & Nohadani, O. (2018). Uncertain Data Envelopment Analysis. European Journal of Operational Research. 268(1), 231-242. https://doi.org/10.1016/j.ejor.2018.01.005.
Favero, L. P., & Belfiore, P. (2017). Manual de Análise de Dados - Estatística e Modelagem Multivariada com Excel®, SPSS® e Stata®. São Paulo: Grupo GEN.
Finbra. (2022). Finanças Municipais. Ministério da Economia. Secretaria do Tesouro Nacional. <https://www.gov.br/tesouronacional/pt-br/estados-e-municipios/dados-consolidados/finbra-financas-municipais>.
Fox, J., & Weisberg , S. (2019). An {R} Companion to Applied Regression, Third Edition. Thousand Oaks CA: Sage. URL: https://socialsciences.mcmaster.ca/jfox/Books/Companion/
Giacomoni, J. (2019). Orçamento Governamental: teoria, sistema, processo. São Paulo: Atlas.
Giacomoni, J. (2021). Orçamento Público (18th edição). Grupo GEN. https://integrada.minhabiblioteca.com.br/books/9788597027839.
Gnangnon, S., & Brun, J. (2018). Is the impact of development aid on government revenue sustainable? An empirical assessment. The Quarterly Review of Economics and Finance, 67, 311-325. https://doi.org/10.1016/j.qref.2017.07.009
Gross, J. & Ligges, U. (2015). nortest: Tests for Normality. R package version 1.0-4.
Guner, N., Lopez-Daneri, M., & Ventura, G. (2016). Heterogeneity and Government revenues: Higher taxes at the top? Journal of Monetary Economics, 80, 69-85. https://doi.org/10.1016/j.jmoneco.2016.05.002.
Ipardes. (2022). Base de dados do Estado. Instituto Paranaense de Desenvolvimento Econômico e Social. <http://www.ipardes.gov.br/imp/index.php>.
Komsta L (2022). _outliers: Tests for Outliers_. https://www.R-project.org, http://www.komsta.net/.
Kurniana, W., Kurniani, W., Sepfiandy, I., & Gyovani, E. (2017). The Impact of Regional Autonomy Policy for Economic Growth in East Java. Jurnal Ekonomi & Studi Pembangunan (Malang.) 9(2), 224-35. http://dx.doi.org/10.17977/um002v9i22017p224
Kusuma, H. (2017). Flypaper Effect: Fiscal Illusion and Bureaucratic Model. Journal Ekonomi & Studi Pembangunan (Malang.), 9(1), 27-39. http://dx.doi.org/10.17977/um002v9i12017p027.
Lima, D.V.D. (2018). Orçamento, Contabilidade e Gestão no Setor Público. São Paulo: Atlas.
Mardani, A., Zavadskas,E.K., Streimikiene, D., Jusoh, A., & Khoshnoudi, M. (2017). A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency. Renewable and Sustainable Energy Reviews. 70(1), 1298-1322. https://doi.org/10.1016/j.rser.2016.12.030.
Martins, G.A., & Theóphilo, C.R. (2016). Metodologia da Investigação Científica para Ciências Sociais Aplicadas. (3 ed). São Paulo: Atlas.
Mattos, E., & Terra, R. (2015). Conceitos Sobre Eficiência. In Boueri, R., Rocha, F., Rodopoulos, F. (Org). Avaliação da Qualidade do Gasto Público e Mensuração da Eficiência. (pp.211– 233). Brasília: Secretaria do Tesouro Nacional.
MCASP. (2021). Manual de Contabilidade Aplicada ao Setor Público. (9 ed). Ministério da Fazenda. Secretaria do Tesouro Nacional. <https://sisweb.tesouro.gov.br/apex/f?p=2501:9::::9:P9_ID_PUBLICACAO:41943>.
Mendes, W., Ferreira, M., Abrantes, L., & Faria, E. (2018). A influência da capacidade econômica e da formação de receitas públicas no desenvolvimento humano. Revista De Administração Pública (Rio De Janeiro), 52(5), 918-934. https://doi.org/10.1590/0034-761220170004.
Moritz S. & Bartz-Beielstein, T. (2017). “imputeTS: Time Series Missing Value Imputation in R.” _The R Journal_, 9(1), 207-218. https://doi.org/10.32614/RJ-2017-009.
Olayungbo, D., & Olayemi, O. (2018). Dynamic relationships among non-oil revenue, government spending and economic growth in an oil producing country: Evidence from Nigeria. Future Business Journal, 4(2), 246-260. https://doi.org/10.1016/j.fbj.2018.07.002
Paes, M., & Portugal, R. (2019). Estudo das Receitas Públicas do Município de Niterói: Análise da arrecadação de recursos. Espaço e Economia, 2019. https://doi.org/10.4000/espacoeconomia.8766.
Pansani, D., Serrano, A., & Ferreira, L. (2020). Análise de Evidências e Causas do Efeito Flypaper e da Ilusão Fiscal nos Estados e Municípios Brasileiros. Administração Pública e Gestão Social, 2020-06-10. https://doi.org/10.21118/apgs.v12i3.8169
Silva, J. M. da, Silva Filho, L. A. da, & Silva, A. O. de F. e. (2013). Comportamento das Receitas Municipais dos Estados do Piauí e de Sergipe (2002/2011). Revista Controle - Doutrina E Artigos, 11(2), 255-278. https://doi.org/10.32586/rcda.v11i2.309
Tanjung, A., Salam, S., Rusdi, J., Ermawati, Y., Novianty, I., Hendaris, R., & Apriliawati, Y. (2021). Flypaper effect assessment methods in the expansion of regional autonomy. MethodsX, 8, 101387. https://doi.org/10.1016/j.mex.2021.101387
Vieira, M. A., Abrantes, L. A., de Almeida, F. M., da Silva, T. A., & Ferreira, M. A. M. (2017). Condicionantes da Arrecadação Tributária: Uma análise para os Municípios de Minas Gerais. Enfoque: Reflexão Contábil, 36(2), 147-162. https://doi.org/10.4025/enfoque.v36i2.33938
Zeileis, A. & Hothorn, T. (2002). Diagnostic Checking in Regression Relationships
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