Reyna MaytaALUMNO - ANGIE ELIANA JIMENEZ MOLINA212021-08-19T21:45:00Z2021-08-19T21:45:00Z14510228063233663309916RESUMENEl presente artículo recoge la realidad de los contratos de concesión en materia de transporte público urbano tiene como objetivo determinar un método de regulación tarifaria que permitirá optimizar el bienestar social en el modelo de concesión del SIT-Arequipa, la metodología empleada se sustentó en el enfoque cuantitativo que estuvo conformado por dos métodos, el modelo regulatorio tarifario por tasa interna de retorno que se contrastó con los datos arrojados al aplicar el modelo precio tope o RPI-X. Como hipótesis de investigación, el estudio se planteó establecer si el modelo de regulación tarifaria por factor X (price cap) es el más eficiente para la modalidad de concesión del Sistema Integrado de Transporte en ciudades intermedias como Arequipa, siendo sometida a una serie de análisis que permitieron observar las variables que componen los sistemas financieros de este sistema de transporte y cuyo resultad demostró que, mientras se incorpore modelo de regulación tarifaria por precio tope o RPI-X se pueden obtener disminuciones sostenidas de la tarifa de usuario final de transporte público, con lo cual se producen mejoras en el bienestar social.PALABRAS CLAVES: Concesiones, modelo financiero, bienestar social, precio tope. ABSTRACTThis article collects the reality of the concession contracts in urban public transport. Its objective is to determine a method of rate regulation that will optimize social welfare in the concession model of the Integrated Transportation System-Arequipa, the methodology used was based on the quantitative approach that was made up of two methods, the rate regulatory model by internal rate of return, which was contrasted with the data obtained by applying the price cap or RPI-X model. As a research hypothesis, the study proposed to establish whether the rate regulation model by factor X (price cap) is the most efficient for the concession modality of the Integrated Transportation System in intermediate cities such as Arequipa, being subjected to a series of analyzes that allowed us to observe the variables that make up the financial systems of this transport system and whose result showed that, while the rate regulation model is incorporated by price cap or RPI-X, sustained decreases in the final user rate of public transport can be obtained, with which there are improvements in social welfare.KEY WORDS: Concessions, financial model, social welfare, price ceiling. INTRODUCCIÓNLa investigación que ocupa este articulo tuvo como punto de inicio determinar el método de regulación tarifaria que permitiera optimizar el bienestar social en el modelo de concesión del Sistema Integrado de Transporte (SIT) de Arequipa. Este tema es de real interés porque se ha observado claramente la deficiente situación económica del país que perjudica el bienestar de la ciudadanía y, en el caso del SIT, a sus usuarios, razón por la cual entre los objetivos planteados se destacan: analizar el modelo de regulación tarifaria por tasa interna de retorno en el modelo de concesión del SIT-Arequipa; determinar el método de regulación tarifaria previsto en los principales contratos de concesión en la región; y determinar el impacto del modelo de regulación tarifaria RPI-X en la eficiencia social del SIT-Arequipa. El estudio se fundamentó teóricamente en las definiciones de las teorías de servicio público, asimetría de la información y bienestar social, así como algunas experiencias internacionales en sistemas integrados de transporte. La justificación que conllevó la investigación se debe a la inexistencia de un modelo de regulación tarifaria que optimice el bienestar social y así erradicar los problemas que conlleva la prestación del servicio de trasporte público urbano, como las múltiples rutas (ineficientes y extensas), las empresas cascarón, la baja velocidad del servicio, la escasa seguridad, las altas emisiones contaminantes, la informalidad y la denominada “batalla por el centavo”, entre otras. En esta medida se espera que el modelo de regulación tarifaria por RPI-X se reconozca como un elemento que aporte sustento al establecimiento de viabilidad y factibilidad de concesiones de servicio de transporte público en la región, sabiendo que la falta de institucionalidad en los entes responsables de la gestión, operación y fiscalización de los servicios de transporte urbano en las municipalidades provinciales es un factor desfavorable al otorgamiento eficiente de dichas licencias.METODOLOGÍAEl estudio desarrollado se enfocó en el análisis de diversas variables que caracterizan al Sistema Integrad de Transporte de Arequipa, considerando la estructura de su mercado en cuanto al otorgamiento de concesiones, la operación contractual, la actividad financiera y el marco normativo que lo caracteriza. Teniendo claros los aspectos mencionados, se procedió a realizar un análisis de la regulación tarifaria asumiendo los aportes del efecto Averch-Jhonson, seguido de la construcción del modelo de regulación que conllevó al estudio de la regulación tarifaria por precios tope para culminar con la comparación de ambos modelos.RESULTADOSEn relación a la concesión del SIT-Arequipa, a partir del mes de agosto de 2017, se hizo la adjudicación de 11 operadores por 15 años, que se distribuyen en 79 rutas, las cuales son operacional y tecnológicamente integradas de manera virtual y física, en paraderos especiales o puntos de transferencia, con cobertura espacial en toda la ciudad e integración a través del componente tecnológico. En cuanto a la demanda de transporte urbano de la ciudad de Arequipa es calificada como inelástica a corto plazo, pudiendo llegar a ser cero y con ello perfectamente inelástica, se asume que la demanda del transporte está en función de su precio monetario (tarifa) y el precio del tiempo, este último tiene que ver con la cantidad de unidades disponibles y la frecuencia en el recorrido del autobús, y en este caso particular, aproximadamente el 80 % de los viajes de la ciudad se realizan en el modo de transporte público de pasajeros, lo cual confirmaría que la elasticidad sea menor y se resalta la necesaria regulación tarifaria del servicio.Por su parte, la oferta estará dada por la cantidad de autobuses que recorran un cierto tramo de la ciudad a una determinada tarifa, además del precio de los insumos, la tecnología disponible, la cantidad de productores potenciales, entre otros. En la ciudad de Arequipa, la oferta del servicio del transporte público se ve afectada por la deficiente infraestructura vial, el poco control de rutas, recorridos, frecuencia o paradas y por la alta oferta de taxis y colectivos informales, lo cual genera que las 214 rutas que existen estén saturadas la mayor parte del día. En este orden de ideas, la oferta del transporte urbano está determinada principalmente por el precio del servicio y por la flota de autobuses que fue estimada en el modelo de transporte, el cual ha sido utilizado para la concesión del SIT-Arequipa. Ahora bien, mientras la oferta está determinada por el Estado a través de un marco regulatorio, se trata de una oferta totalmente inelástica, mientras que la demanda es el precio o tarifa y, en esta línea, se estaría hablando de que existe un equilibrio en el mercado. Las variables financieras que conforman la estructura de las concesiones del SIT Arequipa se refieren a aspectos macroeconómicos, microeconómicos, administrativos y financieros, las cuales se muestran a continuación:Tabla SEQ Tabla \* ARABIC 1. Variables macroeconómicasVariableImpacto en el RORImpacto en la tarifaÍndice de precios al consumidor NegativoAumentaÍndice de precios al por mayorNegativoAumentaÍndice de precios maquinaria y equipoNegativoAumentaVariación precio del diéselNegativoAumentaValor del dólar NegativoAumentaTasa de Crecimiento de la poblaciónPositivoDisminuirTasa de crecimiento del PBI regionalPositivoDisminuirTasa de crecimiento de la demandaPositivoDisminuirTasa de crecimiento de la ofertaNegativoAumentaTasa de incremento de kilometraje recorrido anualNegativoAumentaFuente: Elaboración propiaTabla SEQ Tabla \* ARABIC 2. Variables microeconómicasVariableImpacto en el RORImpacto en la tarifaAños de concesiónPositivoDisminuye%Km-no operativoNegativoAumentaHoras de operaciónNegativoAumentaGarantías y fianzas exigidasNegativoAumentaPorcentaje de deudaNegativoNeutralPorcentaje de capitalNegativoNeutral%Pago a recaudo y centro de controlNegativoAumenta%Fondo de estabilizaciónNegativoAumenta%Fondo para el concedenteNegativoAumentaInversionesNegativoAumentaFuente: Elaboración propiaTabla SEQ Tabla \* ARABIC 3. Variables administrativasVariableImpacto en el RORImpacto en la tarifaGastos administrativosNegativoAumentaCostos de operación vehicularNegativoAumentaDatos de rutasNegativoAumentaCostos operativosNegativoAumentaGastos de mantenimientoNegativoAumentaFuente: Elaboración propiaTabla SEQ Tabla \* ARABIC 4. Variables financierasVariableImpacto en el RORImpacto en la tarifaTasa de interés promedioSistema corporativoSistema de grandes empresasSistema de medianas empresasSistema de pequeñas empresasSistema de microempresasSistema de consumoSistema hipotecarioNegativoNegativoNegativoNegativoNegativoNegativoNegativoAumentaAumentaAumentaAumentaAumentaAumentaAumentaCosto promedio ponderado de capital (WACC por sus siglas en inglés)Dado que en el modelo financiero estimado se exige un mínimo de rentabilidad del 14,7 % y este es igual al ROR, podemos afirmar que el proyecto es aprobado, dado que la rentabilidad generada por el proyecto cubre lo mínimo exigido en rendimiento.RORDado que el ROR y el WACC presentan un valor de 14,7 %, podemos decir que el proyecto es rentable, ya que cubre la exigencia mínima.Valor presente neto (VPN)El proyecto presenta un VPN igual a 0, lo que indica que el proyecto es rentable, dado que en su cálculo se ha incorporado a ganancia de la tasa de descuento.Fuente: Elaboración propiaEl marco normativo del SIT-Arequipa, responde a las directrices descritas en el Proyecto de Contrato de Concesión para la Prestación del Servicio De Transporte Urbano Masivo de Pasajeros en las Unidades de Negocio Complementarias del Sistema Integrado de Transporte (SIT) de la Ciudad de Arequipa, donde se establece la autonomía que caracteriza el autofinanciamiento con los recursos provenientes por los cobros de las tarifas a los usuarios, con evaluaciones anuales de la tarifa técnica y la tarifa al usuario, así como la verificación de los indicadores económicos con la intención de evaluar los avances o desaciertos del sistema para tomar decisiones que permitan los ajustes tarifarios, propuestas de mejoras operativas, optimización de programación, entre otras, las cuales tendrán la finalidad de reestablecer el equilibrio económico del sistema, en el caso de que existan dificultades en el consecución de los contratos sostenidos. La solicitud de restablecimiento del equilibrio puede ser solicitada por el concesionario o el concedente, debe considerar el estado de ganancias y pérdidas auditado, el cual servirá como sustento para observar las variaciones que se dieron al nivel de los ingresos o costos. Esta evaluación, ratificación o negativa de invocar la ruptura del equilibrio económico realizada por una de las partes, estará a cargo de un auditor que tendrá la potestad de determinar la variación del factor de compensación que permitirá la restitución de dicho equilibrio. Por último, el análisis de regulación tarifaria del SIT-Arequipa se hizo en base al modelo de regulación por tasa de retorno, el cual fue evaluado desde la perspectiva del efecto Averch-Jhonson. Al estudiar la incidencia de dicho efecto, se encontró que sí se cumple, porque la prestadora del servicio está protegida adecuadamente ante las variaciones de costos que pueda realizar y tiene pocos incentivos para reducirlos, perjudicando de esta manera al usuario del servicio, ya que son los que pagarán más por los viajes que realicen. Sin embargo, esta situación no se cumple del todo, debido al deficiente manejo de fiscalización de la MPA, lo cual se detalla en la siguiente sección.En cuanto a la aplicación del efecto Averch-Jhonson en la realidad del transporte urbano de la ciudad de Arequipa, se observó que sus características no permiten que el SIT-Arequipa pueda operar como un monopolio natural, dejando en evidencia que si hay la posibilidad de propiciar la existencia de un monopolio propiamente dicho no las da el mercado, sino que son propiciadas por el contrato de concesión. Es por eso que, ante este escenario de competencia, entre el SIT-Arequipa y la existencia de los diferentes automóviles informales, un incremento en los costos no podría ser compensado con un incremento en la tarifa, ya que la demanda por el servicio puede disminuir a largo plazo, debido a que presenta la característica de ser una demanda elástica, en consecuencia, los usuarios, con el pasar del tiempo, podrían optar por mudarse a un lugar más cercano a su centro de trabajo o estudios o, en su defecto, cambiar de trabajo o centro de estudios por uno que quede más cerca de su residencia.Respecto a la construcción del modelo de regulación para el SIT-Arequipa, se determinó que el mismo operaría con una mayor eficiencia bajo un enfoque de modelo regulatorio basado en incentivos, debido a que se ha demostrado que la regulación por ROR presenta fuertes incentivos de sobrecapitalización (efecto Averch-Jhonson), por lo cual un modelo regulatorio basado en incentivos sería la mejor opción. Es por ello que en la presente sección se analizan las ventajas y desventajas que presentan los modelos regulatorios pertenecientes al segundo grupo con el fin de seleccionar al que mejor se adapte a las características del mercado.Tabla SEQ Tabla \* ARABIC 5. Ventajas y desventajas de los modelos de regulaciónRPI – XYardstick competitionEmpresa eficienteVentajas Al no ser necesario revisar los costos de los concesionarios, la regulación seria menos costosa para la MPA Es una herramienta poderosa para eliminar las rentas que provienen de la asimetría de la información entre la empresa regulada y el regulador. Incentiva al concesionario a reducir sus costos hasta encontrar la eficiencia total, mientras no llegue a este punto, los inversionistas deberán asumir los costos extras generados por la ineficiencia, ya que no se podrá adicionar a la tarifa del bien o servicio ofrecido. No se limita la innovación El riesgo en el cambio de precios de los insumos ya no es de carga a los usuarios si no a la empresa Otorga fuertes incentivos a la reducción de costos de producción El riesgo por los shocks externos que afecten a los costos de producción es asumido por el concesionario. Debe eliminar el efecto Averch-Johnson de sobre capitalización La empresa diseña la estructura de preciosDesventajas La existencia de un método convencional para calcular el Factor X No todas las empresas son comparables, porque las empresas tienen muchas variables exógenas que afectan sus costos· Aplicar este método en un mercado donde ya han existido empresas establecidas es complicado, porque surgen problemas de información asimétrica, la empresa conoce mucho mejor su estructura y su función de costos, por lo que el regulador no podrá ser preciso para logar extraer los ingresos del concesionario. Dado que provee fuertes incentivos para la reducción de costos puede llevar a una degradación de la calidad. Requiere un sistema de contabilidad regulatoria que asegure que los datos de las diferentes empresas son confeccionados con la misma definición y criterios contables. Si el Factor X es muy bajo (precio tope alto), la empresa regulada obtendrá beneficios excesivos, si es muy alto la viabilidad de la empresa está comprometida El método le otorga beneficios extraordinarios a las firmas que están por encima del promedio y esto puede ser socialmente ineficiente No promueve la expansión de la cobertura del servicio Incrementa la posibilidad de renegociación de contratos Debilidad Institucional Fuente: Elaboración propiaLos métodos que se presentan en esta sección buscan incentivar la eficiencia de las empresas reguladas, no obstante, la aplicación de regulación por empresa de modelo eficiente o por comparación presentan serias desventajas para su aplicación en el mercado de transporte de Arequipa, ya que por el lado de la empresa eficiente ya ha existido una competencia previa en el mercado con la existencia de diferentes asociaciones de transportistas; y, por el lado de la regulación por comparación, en la actualidad no existe una concesión con características similares a las del SIT-Arequipa. En ese sentido y dadas las características complejas del mercado de transporte público de la ciudad de Arequipa, se considera que la regulación por precios tope (RPI-X) es la más adecuada para el proceso de regulación tarifaria de las concesiones del SIT-Arequipa. Por ello, más adelante se aplicó dicho modelo de regulación considerando el modelo económico financiero utilizado en el proceso de estructuración de la concesión.Por otra parte, para la estimación de la Productividad Total de Factores (PTF) y el precio de los insumos del concesionario, se utilizó información financiera estimada del periodo 2017-2019 obtenida del modelo financiero utilizado en el proceso de la estructuración de la concesión del SIT-Arequipa, tomando en cuenta el enfoque no bayesiano, el cual supone que la mejor predicción de la evolución de la productividad futura del concesionario (2020-2021), es la evolución de la productividad pasada del mismo (2017-2019). Es necesario destacar que la estimación del PTF se realiza con base en el factor de productividad (𝑋) que involucra los índices referentes al promedio de la variación anual del precio de los insumos de la economía, el promedio de la variación anual del precio de los insumos del concesionario, el promedio de la variación anual de la productividad total de factores del concesionario y el promedio de la variación anual de la productividad total de factores de la economía. Así, la estimación de la PTF considerará tres años de información y, por tanto, dos variaciones anuales. Se tomaron en cuenta entonces para este caso, los siguientes valores: los índices de cantidades de servicios, los ingresos estimados que percibiría el concesionario, la tarifa implícita del servicio prestado por el concesionario, los índices de cantidades del servicio prestado por el concesionario, el índice de cantidades de insumos, la cantidad de mano de obra empleada por el concesionario, el gasto de personal estimado realizado por el concesionario, el stock de activos netos al inicio del año, las adiciones de capital, la depreciación económica de los activos, el stock de capital del concesionario por categoría de activo, el precio representativo de los activos, el precio representativo de los activos, la cantidad de capital del concesionario, las cantidades implícitas del capital de la empresa por categoría de activo, el costo del capital de la empresa, la tasa impositiva de la empresa, el precio del capital por categoría de activo, los gastos de materiales del concesionario por categoría, el precio representativo de los materiales, ylas cantidades implícitas de materiales del concesionario por categoría.El análisis de todos los elementos mencionados permitió obtener la tasa de variación de la PTF del concesionario, la cual Una vez obtenidos los índices de Fisher de cantidades de servicios y de cantidades de insumos, se construyó la PTF del concesionario y de sus variaciones anuales a lo largo del periodo 2017-2019, mostrada en la siguiente tabla: Tabla SEQ Tabla \* ARABIC 6. Tasa de variación de la PTF20182019PromedioÍndice de cantidades de servicios de Fisher1,0101,010 Índice de cantidades de insumos de Fisher0,9810,974 PTF de la empresa1,0301,037 Tasa de variación de la PTF de la empresa2,96 %3,64 %3,30 %Fuente: Elaboración propiaEl siguiente componente de la fórmula del cálculo del factor de productividad es el valor de la variación en los precios de los insumos de la empresa concesionaria. La medición de esta variable buscó cuantificar a un nivel agregado los cambios que se han presentado sobre los precios de los insumos empleados por el concesionario en la producción. Al respecto, para la medición de la tasa de variación del precio de los insumos fue necesaria la construcción de los índices de precios de los insumos que intervinieron en el proceso productivo durante el periodo 2017-2019, para lo cual se consideraron las series de precios y cantidades de insumos ya obtenidas para el cálculo de la PTF de la empresa, con esa información se procedió con el cálculo de los índices agregados de los precios de insumos a partir del índice de Fisher, cuyos resultados se muestran a continuación: Tabla SEQ Tabla \* ARABIC 7. Índices de precios de los insumos del concesionarioAños20182019Numerador de Laspeyres430,967,100.25 427,387,016.45 Insumo mano de obra ( QUOTE AQAAAGwAAAAAAAAAAAAAAGIAAAAZAAAAAAAAAAAAAACfCQAAYQIAACBFTUYAAAEAYHQAAPwBAAAD
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204,234,722.71 201,604,621.65 Índice de Paasche0.9721.012Índice de Fischer1.0201.066Fuente: Elaboración propiaUna vez obtenidos los índices agregados del precio de los insumos, se calcularon sus variaciones anuales a lo largo del periodo 2017-2019, esta tasa de variación promedio fue incorporada dentro de la fórmula de cuatro componentes de Bernstein y Sappington (1999) para efectos del cálculo del factor de productividad.Tabla SEQ Tabla \* ARABIC 8. Tasa de variación promedio del precio de los insumos del concesionario con respecto a los años 2018-201920182019PromedioÍndice de precios de insumos de la empresa1.0201.066 Tasa de variación de precios de la empresa1.99%6.37%4.18%Fuente: Elaboración propiaDada la magnitud de las variables involucradas en la productividad de la economía, para calcular la tasa de variación de la PTF de la economía se tomaron como referencia las estimaciones que el regulador Ositran publicó en su propuesta para la revisión del factor de productividad del TPC; dichas estimaciones fueron elaboradas por una fuente independiente al regulador y corresponden al periodo del 2015-2018; de esta manera, la tasa de variación promedio obtenida consideraría cuatro variaciones anuales, la cual se expresa en la siguiente tabla: Tabla SEQ Tabla \* ARABIC 9. Tasa de variación promedio de la PTF de la economía peruana2015201620172018PromedioTasa de variación de la PTF de la economía-0,58 %1,90 %-1,88 %0,06 %-0,125 %Fuente: Elaboración propiaPara hallar la variación en los precios de los insumos de la economía peruana, y dado que no existe un índice que registre la evolución de estos, se utiliza la variante propuesta por Christensen, esto se sustenta en que, en una economía competitiva, la variación en los precios finales es igual a la variación en los precios de los insumos más la variación en la productividad de factores de la economía. La variación de precio de los insumos de la economía se calculó como la suma de la variación promedio del índice de precios al consumidor (IPC) y la variación promedio de la productividad de la economía peruana calculada previamente.Tabla SEQ Tabla \* ARABIC 10. Tasa de variación promedio del precio de los insumos de la economía peruanaAñoVariación de la productividad de la economía20085,7820092,9820103,3720113,6620122,8120132,8120143,2520153,5420163,6020172,8120181,3220192,143,17Fuente: Elaboración propiaUna vez calculados los cuatro componentes de la fórmula del factor X, y se procedió a calcularlo, quedando representado en la siguiente tabla: Tabla SEQ Tabla \* ARABIC 11. Factor de productividad aplicable al concesionario durante el periodo 2020-2021Factor de productividad: QUOTE AQAAAGwAAAAAAAAAAAAAAN4AAAATAAAAAAAAAAAAAADsFQAAyQEAACBFTUYAAAEAhHYAABACAAAD
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3,43 %Factor X 2.29 %Fuente: Elaboración propiaUna vez hallado el factor X, se procedió con la aplicación regulatoria por precios tope a la tarifa que cobra el SIT-Arequipa por la prestación del servicio, para ello se contó con el monto de la tarifa que cobraría el SIT-Arequipa para el 2019, la cual se eleva a S/ 1,426. En la siguiente tabla muestra las tarifas estimadas para los años 2020 y 2021, bajo el modelo regulatorio de precios tope, como se puede observar, a pesar de que no se sumó el RPI existe un incremento en la tarifa producto del índice de actualización de la tarifa, una variable incluida en el modelo base que engloba la variación de los tres índices de inflación nacional, dicho incremento se reduce con la aplicación de la regulación por precios tope, al restarle el factor X.Tabla SEQ Tabla \* ARABIC 12. Tarifa estimada por precios tope para los años 2020 y 2021Tarifa al usuarioAño201920202021Precios tope1,4261,4131,396Fuente: Elaboración propiaAhora bien, según los resultados mostrados, el método regulatorio por precios tope es el más indicado por la leve reducción que presenta la tarifa con el pasar de los años; sin embargo, para llegar a esta conclusión es necesario compararlo con el modelo de regulación vigente en la concesión, el cual es la regulación por ROR. Para realizar un mayor análisis se crearon dos casos del modelo de regulación por ROR: el primer caso solo mostró la proyección de la tarifa como tal y el segundo mostró una proyección de la tarifa con el efecto Averch-Johnson, en la cual se asumió que el concesionario realiza un incremento no previsto del 5 % en las inversiones de tangibles para los dos años y un incremento del 10 % en los gastos operativos (salarios al personal administrativo y operativo) para los años 2020 y 2021, lo cual genera que la tarifa aumente en mayor proporción a la que lo haría en una situación normal. La siguiente tabla muestra la proyección de la tarifa por los dos modelos de regulación, con los dos casos del modelo regulatorio por ROR:Tabla SEQ Tabla \* ARABIC 13. Proyección de la tarifa al usuario periodo 2019, 2020 y 2021Año201920202021Precios tope1.4261.4131.396ROR1.4261.4481.447ROR Efecto A-J 1.4261.4551.454Fuente: Elaboración propiaEn efecto, al comparar las tres proyecciones observamos que la mejor regulación tarifaria, la cual optimice el bienestar social sería el modelo regulatorio RPI-X. Se muestra esta relación en el siguiente gráfico: Gráfico SEQ Gráfico \* ARABIC 1. Mejor regulación tarifaria comparativaiVBORw0KGgoAAAANSUhEUgAAAwIAAAE4CAYAAADowkRaAAAAAXNSR0IArs4c6QAAAHhlWElmTU0A
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Fuente: Elaboración propiaCONCLUSIONESA partir del análisis realizado mediante el modelo financiero desarrollado, incorporando el modelo de regulación tarifaria RPI-X al SIT-Arequipa, se concluyó que este permite obtener incrementos eficientes de la tarifa al usuario final de transporte público. Por otra parte, al comparar los resultados del RPI-X con el modelo de regulación tarifaria basada en la ROR en sus versiones de cumplimiento estricto del contrato (posible efecto Averch-Johnson) y de competencia desleal en la oferta, se evidenció que los incrementos de la tarifa en ambos son superiores a la de regulación tarifaria por precios tope. Aunado a ello, es necesario destacar que respecto al SIT-Arequipa, el efecto Averch Johnson no se valora como una opción para el mismo debido a su limitada capacidad fiscalizadora del concedente (oferta descontrolada). Por último, es importante que el cumplimiento de la PNTU y las características del modelo de regulación RPI-X permitan la innovación tecnológica y la sostenibilidad ambiental, con una adecuada intervención ética de los actores del sistema. BIBLIOGRAFÍAÁlvarez, José (2015). Políticas públicas sociales: reflexiones desde las teorías y la historia del bienestar social. Analecta política, vol. 5, núm. 9, p.391-405.Barrantes, Roxana (2018). Teoría de la regulación. Lima: Fondo Editorial de la Pontificia Universidad Católica del Perú.Bernstein, Jeffrey y Sappington, David (1999). “Setting the x-factor in price- cap regulation plans”. Journal of regulatory economics, vol. 16, núm. 1, p. 5-26.Bernstein, Jeffrey y Sappington, David (2000). “How to determine the X in RPI-X regulation: A user's guide”. 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