The performance of regional governments under the results-based budgeting framework: A two-stage sectoral analysis
RAIRO. Operations Research, Tome 56 (2022) no. 2, pp. 501-528

The results-based budgeting (RBB) framework is a public management strategy in which economic resources are allocated to certain budget programs, oriented towards delivering specific products and results to the population. The present paper analyzes the regional governments’ efficiency in using their economic resources, under the RBB framework, with an application to the Peruvian context. To this end, we employ a data envelopment analysis (DEA) model with bootstrapping. In the first stage, different sectors of the regional governments are considered individually: education, security, health, sanitation, transportation, and recreation. In the second stage, the overall efficiency index is calculated using the sectoral indices obtained in the first stage. Finally, the factors or determinants influencing the level of efficiency are analyzed. The results show improvements in efficiency levels in the areas of health and sanitation, to the detriment of the rest of the sectors. The average overall efficiency level over the period 2013–2016 remains in the range of 0.25–0.30, which indicates an inefficiency level of 70%. Finally, the variables fiscal autonomy, capital stock, and population density show a positive relationship with respect to the overall efficiency index.

DOI : 10.1051/ro/2022012
Classification : C14, D61, H61, R58
Keywords: Public resources, performance, efficiency, DEA, bootstrapping
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Charles, Vincent; Diaz, Juan; Aparicio, Juan. The performance of regional governments under the results-based budgeting framework: A two-stage sectoral analysis. RAIRO. Operations Research, Tome 56 (2022) no. 2, pp. 501-528. doi: 10.1051/ro/2022012

[1] R. Abusada, A. Cusato and C. Pastor, Eficiencia del Gasto en Peru. Instituto Peruano de Economa (2008).

[2] R. Acuña, F. Huaita and J. Mesas, En camino de un presupuesto por resultados: una nota sobre los avances recientes en la programación presupuestaria. Dirección General de Presupuesto Público. Ministerio de Economa y Finanzas, Lima, Peru (2012).

[3] A. Afonso and M. Aubyn, Non-parametric approaches to education and health efficiency in OECD countries. J. Appl. Econ. 8 (2005) 227–246. | DOI

[4] A. Afonso and S. Fernandes, Assessing and explaining the relative efficiency of local government. J. Soc.-Econ. 37 (2008) 1946–1979. | DOI

[5] A. Afonso and A. Venâncio, The relevance of commuting zones for regional spending efficiency. Appl. Econ. 48 (2016) 865–877. | DOI

[6] R. Ahlbrandt, Efficiency in the provision of fire services. Publ. Choice 16 (1973) 1–15. | DOI

[7] D. J. Aigner, C. A. K. Lovell and P. Schmidt, Formulation and estimation of stochastic frontier production function models. J. Econ. 6 (1977) 21–37. | MR | Zbl | DOI

[8] B. Alvarado and E. Morón, Perú, hacia un presupuesto por resultados: afianzando la transparencia y rendición de cuentas. Working Paper No. DD/08/11. Universidad del Pacifico, Lima, Peru (2011).

[9] J. Aparicio, J. M. Cordero and J. T. Pastor, Productivity change of Portuguese municipalities after local reforms. Appl. Econ. Lett. 24 (2017) 878–881. | DOI

[10] D. Arribas-Bel, K. Kourtit and P. Nijkamp, Benchmarking of world cities through self-organizing maps. Cities 31 (2013) 248–257. | DOI

[11] M. T. Balaguer-Coll, D. Prior and E. Tortosa-Ausina, On the determinants of local government performance: a two-stage nonparametric approach. Eur. Econ. Rev. 51 (2007) 425–451. | DOI

[12] R. D. Banker and R. Natarajan, Some models for estimating technical and scale inefficiency in data envelopment analysis. Oper. Res. 56 (2008) 48–58.

[13] R. D. Banker, A. Charnes and W. W. Cooper, Some models for estimating technical and scale inefficiency in data envelopment analysis. Manage. Sci. 30 (1984) 1078–1092. | Zbl | DOI

[14] R. D. Banker, A. Charnes, W. W. Cooper, J. Swarts and D. A. Thomas, An introduction to data envelopment analysis with some of its models and their uses. Res. Gov. Non-Profit Acc. 5 (1989) 125–163.

[15] L. J. Bates and R. E. Santerre, Does regionalization of local public health services influence public spending levels and allocative efficiency? Regional Sci. Urban Econ. 43 (2013) 209–219. | DOI

[16] C. Bernini, A. Guizzardi and G. Angelini, DEA-like model and common weights approach for the construction of a subjective community well-being indicator. Soc. Indic. Res. 114 (2013) 405–424. | DOI

[17] Y. Bian and F. Yang, Resource and environment efficiency analysis of provinces in China: a DEA approach based on Shannon’s entropy. Energy Policy 38 (2010) 1909–1917. | DOI

[18] C. Blackorby and R. Russell, Aggregation of efficiency indices. J. Prod. Anal. 12 (1999) 5–20. | DOI

[19] A. K. Boame, The technical efficiency of Canadian urban transit systems. Transp. Res. Part E 40 (2004) 401–416. | DOI

[20] L. Boetti, M. Piacenza and G. Turati, Decentralization and local government’s performance: How does fiscal autonomy affect spending efficiency?. FinanzArchiv Publ. Finance Anal. 68 (2012) 269–302. | DOI

[21] W. Bowlin, Measuring performance: an introduction to data envelopment analysis (DEA). J. Cost Anal. 15 (1998) 3–27. | DOI

[22] P. Burgat and C. Jeanrenaud, Technical efficiency and institutional variables. Swiss J. Econ. Stat. 130 (1994) 709–717.

[23] J. D. Byrnes and B. E. Dollery, Do economies of scale exist in Australian local government? A review of the research evidence. Urban Policy Res. 20 (2002) 391–414. | DOI

[24] J. Byrnes, L. Crase, B. Dollery and R. Villano, The relative economic efficiency of urban water utilities in regional New South Wales and Victoria. Resour. Energy Econ. 32 (2010) 439–455. | DOI

[25] D. Çağlar, The Turkish cypriot municipalities’ productivity and performance: an application of data envelopment analysis and the tobit model. J. Risk Finan. Manage. 14 (2004) 407. | DOI

[26] L. Carranza, J. Chávez and J. Valderrama, La economa poltica del proceso presupuestario: El caso peruano. Documento de Trabajo 102. Banco Interamericano de Desarrollo (2007).

[27] R. Carrington, N. Puthucheary, D. Rose and S. Yaisawarng, Performance measurement in government service provision: the case of police services in New South Wales. J. Prod. Anal. 8 (1997) 415–430. | DOI

[28] M. Carvalho, T. Syguiy and D. Nithack E Silva, Efficiency and effectiveness analysis of public transport of Brazilian cities. J. Transp. Literature 9 (2015) 40–44. | DOI

[29] C. Cazals, J. P. Florens and L. Simar, Nonparametric frontier estimation: a robust approach. J. Econ. 106 (2002) 1–25. | MR | Zbl | DOI

[30] V. Charles, C. Peretto and T. Gherman, Technical efficiency analytics for the public banks in Argentina. ICPE Publ. Enterp. Half-Yearly J. 22 (2016) 118–139. | DOI

[31] V. Charles, I. E. Tsolas and T. Gherman, Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector. Ann. Oper. Res. 269 (2018) 81–102. | MR | DOI

[32] V. Charles, J. Aparicio and J. Zhu, The curse of dimensionality of decision-making units: a simple approach to increase the discriminatory power of data envelopment analysis. Eur. J. Oper. Res. 279 (2019) 929–940. | MR | DOI

[33] V. Charles, T. Gherman and J. C. Paliza, Stakeholder Involvement for Public Sector Productivity Enhancement: Strategic Considerations. ICPE Publ. Enterp. Half-Yearly J. 24 (2019) 77–86. | DOI

[34] V. Charles, T. Gherman and J. Zhu, Data envelopment analysis and big data: a systematic literature review with bibliometric analysis. In: Data-Enabled Analytics: DEA for Big Data, edited by J. Zhu and V. Charles. International Series in Operations Research and Management Science. Vol. 312. Springer, Cham (2021) 1–29.

[35] A. Charnes, W. W. Cooper and E. Rhodes, Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2 (1978) 429–444. | MR | Zbl | DOI

[36] L. Cherchye and T. Kuosmanen, Benchmarking sustainable development: a synthetic meta-index approach. In: Perspectives on Human Development, Chapter 7, edited by M. Mcgillivray and M. Clarke. United Nations University Press, Tokyo (2004).

[37] L. Cherchye, W. Moesen, N. Rogge and T. Van Puyenbroeck, An introduction to “benefit of the doubt” composite indicators. Soc. Indic. Res. 82 (2007) 111–145. | DOI

[38] Congreso de la República del Perú, Ley de Presupuesto del Sector Público para el año fiscal 2007, Ley N° 28927, captulo IV (2007).

[39] W. W. Cooper, S. Li, L. M. Seiford and J. Zhu, Sensitivity analysis in DEA. In: Handbook on Data Envelopment Analysis, edited by W. W. Cooper, L. M. Seiford and J. Zhu. Springer, Boston, MA (2011) 41–70.

[40] N. F. Da Cruz and R. C. Marques, Revisiting the determinants of local government performance. Omega 44 (2014) 91–103. | DOI

[41] C. Daraio and L. Simar, Advanced Robust and Nonparametric Methods in Efficiency Analysis. Methodology and Applications. Springer, New York, NY (2007). | Zbl

[42] C. Daraio and L. Simar, Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach. J. Prod. Anal. 28 (2007) 13–32. | DOI

[43] C. Daraio, L. Simar and P. W. Wilson, Central limit theorems for conditional efficiency measures and tests of the “separability” condition in non-parametric, two-stage models of production. Econ. J. 21 (2018) 170–191. | MR

[44] M. Davis and K. Hayes, The demand for good government. Rev. Econ. Stat. 75 (1993) 148–152. | DOI

[45] B. De Borger and K. Kerstens, Cost efficiency of Belgian local governments: a comparative analysis of FDH, DEA and econometric approaches. Regional Sci. Urban Econ. 26 (1996) 145–170. | DOI

[46] S. C. Deller, D. L. Chicoine and N. Walzer, Economies of size and scope in rural low-volume roads. Rev. Econ. Stat. 70 (1988) 459–465. | DOI

[47] D. Despotis, A reassessment of the Human Development Index via data envelopment analysis. J. Oper. Res. Soc. 56 (2005) 969–980. | Zbl | DOI

[48] K. De Witte and B. Geys, Evaluating efficient public good provision: theory and evidence from a generalised conditional efficiency model for public libraries. J. Urban Econ. 69 (2011) 319–327. | DOI

[49] A. Diez-Ticio and M. J. Mancebon, The efficiency of the Spanish police service: an application of the multi-activity DEA model. Appl. Econ. 34 (2002) 351–362. | DOI

[50] G. D’Inverno, L. Carosi and L. Ravagli, Global public spending efficiency in Tuscan municipalities. Soc.-Econ. Plan. Sci. 61 (2017) 102–113. | DOI

[51] M. Doumpos and S. Cohen, Applying data envelopment analysis on accounting data to assess and optimize the efficiency of Greek local governments. Omega 46 (2014) 74–85. | DOI

[52] R. Dyson, R. Allen, A. Camanho, V. Podinovski, C. Sarrico and E. Shale, Pitfalls and protocols in DEA. Eur. J. Oper. Res. 132 (2001) 245–259. | Zbl | DOI

[53] B. Efron, Bootstrap methods: another look at the Jackknife. Ann. Stat. 7 (1979) 1–26. | MR | Zbl | DOI

[54] G. Fancello, B. Uccheddu and P. Fadda, Data Envelopment Analysis (DEA) for urban road system performance assessment. Proc. Soc. Behav. Sci. 111 (2014) 780–789. | DOI

[55] M. Farrell, The measurement of productive efficiency. J. R. Stat. Soc. Ser. A (General) 120 (1957) 253–290. | DOI

[56] R. Fazioli, M. Filippini and P. Prioni, Cost-structure and efficiency of local public transport: the case of Emilia Romagna bus companies. Int. J. Transp. Econ. 20 (1993) 305–324.

[57] H. Fitzová, M. Matulová and Z. Tomeš, Determinants of urban public transport efficiency: case study of the Czech Republic. Eur. Transp. Res. Rev. 10 (2018) 10–42. | DOI

[58] I. M. Garca-Sánchez, Evaluating the effectiveness of the Spanish police force through data envelopment analysis. Eur. J. Law Econ. 23 (2007) 43–57. | DOI

[59] I. M. García-Sánchez, The performance of Spanish solid waste collection. Waste Manage. Res. 26 (2008) 327–336. | DOI

[60] I. M. Garca-Sánchez, Technical and scale efficiency in Spanish urban transport: estimating with data envelopment analysis. Adv. Oper. Res. 2009 (2009) 721279.

[61] M. Garca-Valiñas and A. Muñiz, Is DEA useful in the regulation of water utilities? A dynamic efficiency evaluation (a dynamic efficiency evaluation of water utilities). Appl. Econ. 39 (2009) 245–252. | DOI

[62] M. Ghasemi, J. Ignatius and A. Emrouznejad, A bi-objective weighted model for improving the discrimination power in MCDEA. Eur. J. Oper. Res. 233 (2014) 640–650. | MR | DOI

[63] A. Gocht and K. Balcombe, Ranking efficiency units in DEA using bootstrapping an applied analysis for Slovenian farm data. Agric. Econ. 35 (2006) 223–229. | DOI

[64] E. Grmanova and H. Strunz, Efficiency of insurance companies: application of DEA and Tobit analyses. J. Int. Student 10 (2017) 250–263.

[65] P. Grossman, P. Mavros and R. Wassmer, Public sector technical inefficiency in large US cities. J. Urban Econ. 46 (1999) 278–299. | DOI

[66] D. Guangyao, L. Lu and S. Yanan, Provincial water use efficiency measurement and factor analysis in China: based on SBM-DEA model. Ecol. Indic. 69 (2016) 12–18. | DOI

[67] S. Gupta, S. Kumar and G. K. Sarangi, Measuring the performance of water service providers in urban India: implications for managing water utilities. Water Policy 14 (2012) 391–408. | DOI

[68] H. Hatry, Performance measurement: fashions and fallacies. Publ. Perform. Manage. Rev. 25 (2002) 352–358.

[69] I. C. Henriques, V. A. Sobreiro, H. Kimura and E. B. Mariano, Two-stage DEA in banks: terminological controversies and future directions. Expert Syst. App. 15 (2020) 113632. | DOI

[70] P. Herrera and P. Francke, Análisis de la eficiencia del gasto municipal y de sus determinates. Economa 32 (2007) 113–178.

[71] A. Kalb, B. Geys and F. Heinemann, Value for money? German local government efficiency in a comparative perspective. Appl. Econ. 44 (2012) 201–218. | DOI

[72] J. Kalseth and J. Rattsø, Spending and overspending in local government administration: a minimum requirement approach applied to Norway. Eur. J. Political Econ. 11 (1995) 229–251. | DOI

[73] M. Kosor, L. Perovic and S. Golem, Efficiency of public spending on higher education. A data envelopment analysis for EU-28. Prob. Edu. 21st Century 77 (2019) 396–409. | DOI

[74] X.-B. Li and G. R. Reeves, A multiple criteria approach to data envelopment analysis. Eur. J. Oper. Res. 115 (1999) 507–517. | Zbl | DOI

[75] Y. Li, Y. Li and W. Pan, Energy efficiency analysis of beijing using the DEA-Tobit two stage method. Adv. Mater. Res. 608 (2012) 1210–1214.

[76] C. Lo Storto, Ecological efficiency based ranking of cities: a combined DEA cross-efficiency and Shannon’s entropy method. Sustainability 8 (2015) 1–29.

[77] C. Lo Storto, The trade-off between cost efficiency and public service quality: a non-parametric frontier analysis of Italian major municipalities. Cities 51 (2016) 52–63. | DOI

[78] C. A. K. Lovell and J. T. Pastor, Measuring the macroeconomic performance of the Taiwanese economy. Int. J. Prod. Econ. 39 (1995) 165–178. | DOI

[79] C. A. K. Lovell and J. T. Pastor, Radial DEA models without inputs or without outputs. Eur. J. Oper. Res. 118 (1999) 46–51. | Zbl | DOI

[80] R. Machado, Gastar más o gastar mejor? La eficiencia del gasto público en los pases centroamericanos y República Dominicana. Banco Interamericano de Desarrollo (2012).

[81] J. Mcdonald, Using least squares and tobit in second stage DEA efficiency analyses. Eur. J. Oper. Res. 197 (2009) 792–798. | Zbl | DOI

[82] E. Minuci, A. Ferreira and J. Hall, A data envelopment analysis of West Virginia school districts. Helyon 5 (2019) e01990. | DOI

[83] S. Mirmirani, H. Li and J. A. Ilacqua, Health care efficiency in transition economies: an application of data envelopment analysis. Int. Bus. Econ. Res. J. 7 (2008) DOI: . | DOI

[84] S. Mohammadpour, J. Javan-Noughabi, A. Vafaee Najar, M. Zangeneh, S. Yousefi, M. Nouhi and R. Jahangiri, Factors affecting the technical efficiency of rural primary health care centers in Hamadan, Iran: data envelopment analysis and Tobit regression. Cost Effectiveness Res. Allocation 18 (2020) 53. | DOI

[85] Ministry of Housing, Construction and Sanitation. Peru: Water and Sanitation (2016). Retrieved from https://ww3.vivienda.gob.pe/ejes/agua_saneamiento/agua_y_saneamiento.html.

[86] T. Mota and L. Meza, The use of DEA as a tool to evaluate public expenditure on education: an analysis of the cities of the state of Rio de Janeiro. Eng. Sci. 92 (2020) 1–13.

[87] Y. Nakayama, The technical efficiency and grants of municipal hospitals. Medicare Soc. 14 (2004).

[88] K. Nakazawa, Cost inefficiency of municipalities after amalgamation. Proc. Econ. Finance 5 (2013) 581–588. | DOI

[89] National Institute of Statistics and Informatics, Peru: Forms of Access to Water and Basic Sanitation (2016). Retrieved from https://www.inei.gob.pe/media/MenuRecursivo/boletines/boletin_agua.pdf.

[90] D. Osborne and T. Gaebler, Reinventing Government: How the Entrepreneurial Spirit is Transforming the Public Sector. Addison-Wesley, Reading, MA (1993).

[91] R. B. Parks, Technical efficiency of public decision making units. Policy Studies J. 12 (1983) 337–346. | DOI

[92] A. J. Picazo-Tadeo, F. González-Gómez and F. J. Sáez-Fernández, Accounting for operating environments in measuring water utilities’ managerial efficiency. Serv. Ind. J. 29 (2009) 761–773. | DOI

[93] A. M. Prieto and J. L. Zofo, Evaluating effectiveness in public provision of infrastructure and equipment: the case of Spanish municipalities. J. Prod. Anal. 15 (2001) 41–58. | DOI

[94] X. Qi and B. Guo, Determining Common weights in data envelopment analysis with Shannon’s entropy. Entropy 16 (2014) 6394–6414. | DOI

[95] B. Radovanov, D. Branislav, M. Gregus, A. Horvat and V. Karovic, Using a two-stage DEA model to measure tourism potentials of EU countries and Western Balkan Countries: an approach to sustainable development. Sustainability 12 (2020) 4903. | DOI

[96] I. Raposo, T. Menezes, Public school efficiency using data envelopment analysis: an empirical application for Brazil. 51st Congress of the European Regional Science Association: “New Challenges for European Regions and Urban Areas in a Globalised World”, 30 August – 3 September 2011, Barcelona, Spain, European Regional Science Association (ERSA), Louvain-la-Neuve (2011).

[97] Y. Reingewertz, Do municipal amalgamations work? Evidence from municipalities in Israel. J. Urban Econ. 72 (2012) 240–251. | DOI

[98] M. D. C. Sampaio De Sousa and B. Stošič, Technical efficiency of the Brazilian municipalities: correcting nonparametric frontier measurements for outliers., J. Prod. Anal. 24 (2005) 157–181. | DOI

[99] H. Saranga and R. Nagpal, Drivers of operational efficiency and its impact on market performance in the indian airline industry. J. Air Transp. Manage. 53 (2016) 165–176. | DOI

[100] J. Sarkis and J. Dijkshoorn, Relationships between solid waste management performance and environmental practice adoption in Welsh SMEs. Int. J. Prod. Res. 45 (2007) 4989–5015. | Zbl | DOI

[101] B. W. Silverman, Density Estimation for Statistics and Data Analysis. Chapman and Hall, London (1986). | MR | Zbl

[102] L. Simar, Estimating efficiencies from frontier models with panel data: a comparison of parametric, non-parametric and semi-parametric methods with bootstrapping. J. Prod. Anal. 3 (1992) 171–203. | DOI

[103] L. Simar and P. W. Wilson, Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Manage. Sci. 44 (1998) 49–61. | Zbl | DOI

[104] L. Simar and P. W. Wilson, Statistical inference in nonparametric frontier models: the state of the art. J. Prod. Anal. 13 (2000) 49–78. | DOI

[105] L. Simar and P. W. Wilson, A general methodology for bootstrapping in nonparametric frontier models. J. Appl. Stat. 27 (2000) 779–802. | MR | Zbl | DOI

[106] L. Simar and P. Wilson, Estimation and inference in twostage, semi-parametric models of production processes. J. Appl. Econ. 22 (2007) 1367–1394. | MR | Zbl

[107] L. Simar and V. Zelenyuk, Statistical inference for aggregates of Farrell-type efficiencies. J. Econ. 136 (2007) 31–64. | MR

[108] M. Soleimani-Damaneh and M. Zarepisheh, Shannon’s entropy for combining the efficiency results of different DEA models: method and application. Expert Syst. App. 36 (2009) 5146–5150. | DOI

[109] K. Thaker, V. Charles, A. Pant and T. Gherman, A DEA and random forest regression approach to studying bank efficiency and corporate governance. J. Oper. Res. Soc. (2021) DOI: . | DOI

[110] K. Tone, A slacks-based measure of efficiency in data envelopment analysis. Eur. J. Oper. Res. 130 (2001) 498–509. | MR | Zbl | DOI

[111] I. E. Tsolas, V. Charles and T. Gherman, Supporting better practice benchmarking: a DEA-ANN approach to bank branch performance assessment. Expert Syst. App. 160 (2020).

[112] M. Verschelde and N. Rogge, An environment-adjusted evaluation of citizen satisfaction with local police effectiveness: evidence from a conditional data envelopment analysis approach. Eur. J. Oper. Res. 223 (2012) 214–225. | DOI

[113] M. Walter and A. Cullmann, Potential gains from mergers in local public transport: an efficiency analysis applied to Germany. Discussion Paper of DIW Berlin 832, DIW Berlin, German Institute for Economic Research (2008).

[114] R. Woodard, M. K. Harder, M. Bench and M. Philip, Evaluating the performance of a fortnightly collection of household waste separated into compostables, recyclates and refuse in the south of England. Res. Conserv. Recycl. 31 (2001) 265–284. | DOI

[115] A. C. Worthington and B. E. Dollery, Measuring efficiency in local government: an analysis of New South Wales municipalities’ domestic waste management function. Policy Stud. J. 29 (2001) 232–250. | DOI

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