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 Recibido: 04-05-2021/Aceptado: 02-06-2021/ Publicado: 05-07-2021

 

AplicaciĂłn del modelo factorial en la mediciĂłn de las causas de la evasiĂłn tributari= a en los comerciantes en el mercado: La Condamine, Oriental, SimĂłn BolĂ­var y EMMPA, perĂ­odo 2019

 

Application of the factorial model in the measurement of the causes of tax evasion in merchant= s in the market: La Condamine, Oriental, SimĂłn BolĂ= ­var and EMMPA, period 2019

 

 

MarĂ­a JosĂ© Ruiz Ăvila. [1] &= amp; Iván Patricio Arias González.  [2]

 

DOI: = https://doi.org/10.33262/visionariodigital.v5i3.1745

Abstract.

Introduction: Tax evasion is an alien behavior and in violation= of legal provisions Objective: Apply the factorial model in measuring t= he causes of tax evasion, know the causes that originate tax evasion and final= ly carry out the factorial model to measure tax evasion. tax evasion. the caus= es of tax evasion Methodology: the research had a qualitative approach where the information was collected through the survey, the research level = was correlational that aimed to examine the relationship between the two study variables. The population of the investigation was the formal sellers of the markets of the city of Riobamba, period 2019, information taken from the GA= DM Riobamba cadastral base that is detailed below: Condam= ine Market with 741 merchants, El Prado Market with 1491 merchants, Mercado Sim= Ăłn BolĂ­var with 539 merchants and EMMPA with 899 merchants, determining a sam= ple of 347 people Results: the main cause of tax evasion is ignorance of legal regulations Conclusion: tax evasion is very common among merchants, first due to ignorance and second , because they consider that i= t is not necessary to have a permit to be able to sell their products, which cau= ses damage to tax control.

Keywords: Factor model, tax evasion, merchants.

ResĂşmen

Introducción: La evasión fiscal es una conducta ajena y violato= ria a las disposiciones legales Objetivo: Aplicar el modelo factorial en la medición de las causas de la evasión tributaria, conocer las causas que originan la evasión tributaria y finalmente realizar el modelo factorial p= ara la medición de las causas de la evasión tributaria Metodología: la investigación tuvo un enfoque cualitativo donde se recogió información m= ediante la encuesta, el nivel de investigación fue correlacional que tuvo como finalidad examinar la relación existente entre las dos variables de estudi= o. La población de la investigación fueron los vendedores formales de los merca= dos de la ciudad de Riobamba, período 2019, información tomada de la basa catast= ral del GADM Riobamba que se detalló de la siguiente manera: Mercado Condamine con 741 comerciantes, Mercado El Prado con1= 491 comerciantes, Mercado Simón Bolívar con de 539 comerciantes y EMMPA con 8= 99 comerciantes, determinando una muestra de 347 personas Resultados: la principal causa de evasión tributaria es el desconocimiento de la normativa legal Conclusión: la evasión tributaria es muy común entre los comerciantes, primero es por desconocimiento y segundo porque consideran qu= e no es necesario tener un permiso para poder vender sus productos, causando un = daño al control de impuestos.

Palabras claves: Modelo factorial, evasiĂłn tributaria, comerciant= es.

 

IntroducciĂłn.

A niv= el mundial los comerciantes buscan generar ganancias con la optimización de recursos, en el Ecuador, los contribuyentes de manera general evidencian un desconocimiento de la normativa tributaria (Puente & Solano, 2020), especialmente por las constantes modificaciones realizadas por el ente regulador, en este contexto surge la evasión tributaria que representa una conducta ajena y violatoria a las disposiciones legales. Es importante señalar  que el pago de impuestos= en Ecuador es fundamental, porque a través de ellos se crean recursos para financiar el presupuesto general del Estado.

En los últimos años la recaudación de impuestos evidencia un incremento conside= rable para el Estado, con los recursos generados de la recaudación tributaria se gestionan servicios para la sociedad e impulso de la economía nacional (Párraga, 2017), sin embargo; esta acción ha sido empañada por un fenóm= eno recurrente como es la evasión tributaria, sobre la cual la administración tributaria lucha con normativa legal para minimizar esta práctica ilícita=

Por lo antes expuesto el objetivo de la presente investigaciĂłn es aplicar el mode= lo factorial para identificar las causas que inciden en la evasiĂłn tributaria= en los comerciantes del Mercado: La Condamine, Ori= ental, SimĂłn BolĂ­var y EMMPA, perĂ­odo 2019

EvasiĂłn Tributaria

Los contribuye= ntes suelen realizar operaciones y transacciones financieras para minimizar sus pagos de impuestos y, por lo tanto, aumentar sus ingresos después de impue= stos (Gaaya, Lakhal y Lakhal, 2017). Aunque los contadores fiscales a menudo utilizan medios legítimos para reducir o evitar las obligaciones fiscales corporativas, a veces violan el marco legal y los estándares éticos (Richardson, 2008). La evasión de impuestos consiste en acciones ilegales = intencionales tomadas por empresas para reducir sus pagos y obligaciones de impuestos al declarar menos riqueza, ingresos o ventas; exagerar las deducciones y exenciones; o no declarar activos financieros (Benkraiem, 2021). =

La evasión tributaria  o evasión fiscal, con= ocida a nivel mundial como fraude fiscal  = es una acción ilícita, es decir, implica la violación de la ley tributaria, por= lo tanto, tiene una serie de consecuencias jurídicas para sus evasores, pues implica la transgresión de la legislación tributaria vigente (Henríquez,= 2015, Rodríguez, 2018).  Para conseguir= este propósito los contribuyentes hacen una declaración falsa o simplemente ocultan la información sobre la base = del impuesto que deben declarar y el monto del tributo a pagar a la autoridad tributaria.

Los contribuyentes que son detectados practicando la evasión e= stán sujetos a la aplicación de sanciones legales (Asamblea Nacional, 2020). Po= r lo tanto, practicar la evasión puede implicar un costo para el contribuyente evasor cuando éste es sorprendido a través de los procesos de fiscalizaci= ón que aplica la autoridad tributaria.

Las prácticas de evasión fiscal tienen varias implicaciones sociales y económicas negativas (Culiberg &= ; Bajde, 2014). Debido a que el impuesto sobre la renta= es un mecanismo necesario para la capacidad fiscal, la infraestructura económica= y los servicios públicos y sociales proporcionados por el estado tanto en los países desarrollados como en desarrollo

Hoy en dĂ­a en la = ciudad de Riobamba, por parte de los comerciantes que trabajan en los mercados, se mencionan que el crecimiento del comercio aumentado en los Ăşltimos meses d= ebido a la situaciĂłn actual que atraviesa el paĂ­s, lastimosamente la crisis eco= nĂłmica ha invadido a grandes y medianos comerciantes el cual ha causado un efecto negativo al desarrollo econĂłmico de la ciudad.

Con lo antes expuesto es importante mencionar que el comercio en = los mercados está relacionado con la evasión fiscal en el ámbito de la econo= mía y finanzas; así, la tributación cobra especial importancia desde hace más = de cinco décadas, sus implicancias y el grado de cumplimiento en los impuesto= s, consideran que la evasión de impuestos modela el proceso de decisión del cumplimiento tributario que se basa en la afirmación, que el contribuyente= es un maximizador de ingresos personales, el empre= ndedor es el interesado en buscar una mayor utilidad, el problema en el cumplimien= to o pago de impuestos tiene que ver con el comportamiento de los individuos, en cambio otros, cumplen con las normas y políticas tributarias, estas dos fo= rmas se relacionan a través de la moral tributaria y el cumplimiento tributario= de forma directa e indirecta.

 

Causas de la EvasiĂłn Tributaria

Existen diferentes causas para la evasión tributaria, por la q= ue los contribuyentes buscan la manera de evadir el pago de los tributos, que abarca varias razones a criterio del contribuyente, entre ellas están fact= ores económicos, sociales, culturales e históricos, todos estos factores van d= esde las percepciones extremas hasta como ven la corrupción de un determinado m= anejo del estado por parte de sus gobernantes, y también de la poca satisfacción personal de los bienes y servicios recibidos por parte del estado. (Cordova, 2014)

Muchos contribuyentes por desconocer las leyes tributarias, realizan sus declaraci= ones de impuesto de una manera no correcta, sumándole también a esto, el deseo= de evadir el pago de los tributos, así como aprovechar las debilidades que pu= edan tener las Administraciones Tributarias, aun sabiendo el riesgo de ser detectados. (Chelala, & Giarrizzo, 2014).

Entre las principales causas de la evasiĂłn fiscal autores como Jorrat & Podesta (2010) establecen la ineficacia d= e la fiscalizaciĂłn, falta de simplicidad y precisiĂłn de la normativa tributari= a, carga tributaria elevada y falta de conciencia en los contribuyentes. =

Cultura Tributaria

La cultura tributaria se entiende como un conjunto de valores, conocimientos y actitudes compartido por los miembros de una sociedad respe= cto a la tributaciĂłn y la observancia de las leyes que la rigen, esto se tradu= ce en una conducta manifestada en el cumplimiento permanente de los deberes tributarios con base en la razĂłn, la confianza y la afirmaciĂłn de los val= ores de Ă©tica personal (MĂ©ndez, 2004).

La cultura tributaria  para autores como Alva 2010 representa cuando los individuos cumplen con los deb= eres formales atribuidos a este dentro de un marco legal, para cumplirlos de una manera voluntaria, conociendo que su cumplimiento acarreará un beneficio c= omún para la sociedad en la cual ellos están insertados.

Investigaciones recientes demuestran que los atributos de la cultura tributaria son maleables y reaccionan a factores externos, en este contexto la cultura tributaria representa la responsabilidad  los contribuyentes al declarar cada mes= o cada seis meses de acuerdo a sus ingresos y gastos, cumpliendo según las normat= ivas del servicio de rentas internas en el caso ecuatoriano. <= /p>

 

 

Modelo Factorial

El análisis factorial se utiliza para identificar factores que expliquen una variedad de resultados en diferentes pruebas, es una técnica estadística de reducción de datos usada para explicar las correlaciones e= ntre las variables observadas en términos de un número menor de variables no observadas llamadas factores. Las variables observadas se modelan como combinaciones lineales de factores más expresiones de error (Sánchez, et = al., 2014).

El modelo factorial es un instrumento estadĂ­stico del programa SPSS que permite cono= cer o detectar las factores o causas de la evasiĂłn tributaria, es muy confiable = ya que arroja resultados de acuerdo al estudio de las dos variables de investigaciĂłn.

 

Metodologia.

En la investigaciĂłn se utilizĂł el mĂ©todo ded= uctivo que ayudĂł al análisis de la evasiĂłn tributaria y la aplicaciĂłn de un mĂ= ©todo factorial, el cual permitiĂł determinar las incidencias en los mercados de = la ciudad de Riobamba en el perĂ­odo 2019.

El alcance de la investigación es descriptiva,= por cuanto al recolectar datos se pudo  identificar y describir en forma detallada y coherente los resultados obtenidos.

La población objeto de estudio lo constituyero= n los comerciantes informales de los mercados riobambeños, de acuerdo a catastro obtenido del Gobierno Autónomo Descentralizado Municipal de Riobamba como = se detalla en la tabla 1.

Tabla 1 Catastro Comerciantes 2019

 

MERCADOS

No. COMERCIANTES 100%

Muestra

%

= Condamine

741

70

20.19= %

Mercado Oriental =

1491<= o:p>

141

40.63= %

SimĂłn BolĂ­var

539

51

14.69= %

EMMPA<= /span>

899

85

24.59= %

TOTAL

3670

347

100%

Nota: GADM – R (2019). Catastro Comerci= antes

La técnica utilizada e= n la presente investigación fue la encuesta, aplicada a la población objeto de estudio a través de un cuestionario, cuyos resultados se muestran en el siguiente apartado <= /span>

Resultados.

Caracteri= zaciĂłn tributaria de los comerciantes <= /span>

El régimen tributario es una norma jurídica que regula las relaciones entre el Estado (sujeto activo)  y quienes tienen obligaciones tributar= ias para con él, en este contexto en Ecuador existen distintos regímenes trib= utarios, para el año 2019 los regímenes tributarios vigentes lo constituían: rég= imen general y régimen impositivo simplificado, al aplicar la encuesta se obtuv= o los resultados que se muestran en la tabla 2.

Tabla <= /span>2 RĂ©gimen Tributario

Valido

Frec= uencia

Porc= entaje

Porc= entaje

vál= ido

Porc= entaje

acum= ulado

RĂ©gimen General=

218

62,8

62,8

62,8

RĂ©gimen Impositivo Simplificado Ecuatoriano

95

27,4

27,4

90,2

Ninguno

34

9,8

9,8

100,0

Total

347

100,0

100,0

 

 

De acuerdo a los resultados obtenidos se evidenc= ia que el 90,2% de los comerciantes de los mercados de la ciudad de Riobamba, están vinculados a algún tipo de régimen impositivo y solamente el 9.8% = no están formalizados frente a la administración tributaria.

DeclaraciĂłn de ingresos totales

Uno de los elementos considerados en la investigación, fue indagar qué importancia le da el comerciante a revelar= el 100% de sus ventas totales frente a la administración tributaria, en este contexto se han obtenido los resultados que se muestran en la tabla 3.

valido

 =

Frecuencia

Porcentaje

Porcentaje

válido

Porcentaje

acumulado

Totalmente en desacuerdo=

 

25

7,2

7,2

7,2

En desacuerdo

 

15

4,3

4,3

11,5

Ni de acuerdo, ni en desacuerdo

 

96

27,7

27,7

39,2

De acuerdo

 

75

21,6

21,6

60,8

Totalmente de acuerdo

 

136

39,2

39,2

100,0

Total

 

347

100,0

100,0

 

 

Causas de la evasiĂłn tributaria en los comercia= ntes

En la investigaciĂłn se plantearon varias interrogantes que se resumen en las siguientes estadĂ­sticas como se muestr= a en la tabla 3.

Tabla <= /span>3 EstadĂ­sticas Descriptivas<= span lang=3DES-TRAD style=3D'font-size:12.0pt;color:windowtext;mso-ansi-language= :ES-TRAD'>

 

 

Me= dia

De= sviación estándar

N = de análisis

P1. ¿Está de acuerdo con los impuestos que = se debería pagar al SRI por su actividad comercial?

3,= 22

1,= 170

34= 7

P2. ÂżConsidera que es oportuno declarar los ingresos y gastos generados cada mes?

3,= 31

1,= 198

34= 7

P3. ÂżAl momento de declarar sus ingresos, considera que es importante informar el total de sus ventas?

3,= 81

1,= 208

34= 7

P4. ÂżConsidera que es importante llevar un registro de control tanto de ingresos como de gastos?

3,= 52

1,= 300

34= 7

P5. ¿Cree que es importante cumplir a tiempo= con las obligaciones tributarias de acuerdo al régimen al que pertenece ya s= ea RUC o RISE?

3,= 52

1,= 081

34= 7

P6. ÂżConsidera que evadir impuestos implique= una penalidad?

2,= 35

1,= 452

34= 7

P7. ÂżConsidera que es importante recibir notificaciones por parte del Servicio de Rentas Internas?

3,= 94

1,= 081

34= 7

P8. ÂżConsidera correcto el pago de algĂşn mo= nto por no cumplir a tiempo sus obligaciones tributarias?

2,= 31

1,= 237

34= 7

P9. ÂżConsidera que es correcto declarar a ti= empo y asĂ­ evitar sanciones?

2,= 88

1,= 230

34= 7

 

Prueba de KMO y Bartlett.

Este tipo de pruebas permite contrastar las correlaciones parciales e= ntre variables

Tabla 4 Prueba de KMO y Bartlett<= /p>

 

Medida Kaiser – Meyer – <= /span>Olkin de adecuación de muestreo

0,893

Prueba de esfericidad de Bart= lett

AproximaciĂłn Chi-cuadrado

6708,241

Grados de libertad=

36

Significancia

0,000

 

En este contexto existe un alto grado de correlación entre las variables del anál= isis factorial. Para el modelo factorial = se utilizó 9 preguntas en base a las dos variables de estudio, los cuales detectaron 3 causas de la evasión tributaria.=

Comunalidades

Las comunalidades representan una proporción de variabilidad de cada variable, que es explicada a través de factores, en la tabla 5 se muestran los resultados obtenidos de la aplicación de encuestas= a los comerciantes de los mercados de la ciudad de Riobamba en el año 2019. =

Tabla 5 Comunalidades EvasiĂłn Tributaria

Preguntas

Inicial=

ExtracciĂłn=

P1. ¿Está de acuerdo con los impuestos que se debería pagar al SRI por su actividad comercial?

1,000

0,954

P2. ÂżConsidera que es oportu= no declarar los ingresos y gastos generados cada mes?

1,000

0,950

P3. ÂżAl momento de declarar = sus ingresos, considera que es importante informar el total de sus ventas?

1,000

0,895

P4. ÂżConsidera que es import= ante llevar un registro de control tanto de ingresos como de gastos?

1,000

0,933

P5. ¿Cree que es importante cumplir a tiempo con las obligaciones tributarias de acuerdo al régimen = al que pertenece ya sea RUC o RISE?

1,000

0,899

P6. ÂżConsidera que evadir im= puestos implique una penalidad?

1,000

0,830

P7. ÂżConsidera que es import= ante recibir notificaciones por parte del Servicio de Rentas Internas?

1,000

0,896

P8. ÂżConsidera correcto el p= ago de algĂşn monto por no cumplir a tiempo sus obligaciones tributarias?

1,000

0,847

P9. ÂżConsidera que es correc= to declarar a tiempo y asĂ­ evitar sanciones?

1,000

0,918

 

DiscusiĂłn

Para realizar la comprobación de la hipót= esis de investigación se utilizó la prueba estadística del Chi – cuadrado, = el cual es un método para probar las hipótesis relacionadas con la diferencia ent= re el conjunto de frecuencias observadas en una muestra y el conjunto de frecuenc= ias teóricas y esperadas de la misma muestra.

Prueba de hipĂłte= sis general.

H1: El desconocimiento de leyes,= la falta de interés y por el alto cobro de impuestos son las causas para la evasión tributaria en los comerciantes del mercado. La Condamine Oriental, Simón Bolívar y EMMPA, periodo 2019.

H0: El desconocimiento de leyes, la falta de interés y por el = alto cobro de impuestos no son las causas para la evasión tributaria en los comerciantes del mercado La Condamine Oriental,= Simón Bolívar y EMMPA, periodo 2019.

 <= /p>

Tabla 6 CĂ= ˇlculo de la aplicaciĂłn Chi – cuadrado=

N

<= span lang=3DES style=3D'font-size:11.0pt;line-height:115%;font-family:"Calibri= ",sans-serif; mso-ascii-theme-font:minor-latin;mso-fareast-font-family:"Times New Roman= "; mso-fareast-theme-font:minor-fareast;mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi; mso-ansi-language:ES;mso-fareast-language:ES;mso-bidi-language:AR-SA'>

1

35

52,44

-17,44

304,31

5,80

2

46

50,33

-4,33

18,78

0,37

3

130

92,33

37,67

1418,78

15,37

4

80

76,67

3,33

11,11

0,14

5

56

75,22

-19,22

369,49

4,91

6

32

52,44

-20,44

417,98

7,97

7

49

50,33

-1,33

1,78

0,04

8

110

92,33

17,67

312,11

3,38

9

90

76,67

13,33

177,78

2,32

10

66

75,22

-9,22

85,05

1,13

11

25

52,44

-27,44

753,20

14,36

12

15

50,33

-35,33

1248,44

24,80

13

96

92,33

3,67

13,44

0,15

14

75

76,67

-1,67

2,78

0,04

15

136

75,22

60,78

3693,94

49,11

16

35

52,44

-17,44

304,31

5,80

17

45

50,33

-5,33

28,44

0,57

18

71

92,33

-21,33

455,11

4,93

19

97

76,67

20,33

413,44

5,39

20

99

75,22

23,78

565,38

7,52

21

22

52,44

-30,44

926,86

17,67

22

16

50,33

-34,33

1178,78

23,42

23

146

92,33

53,67

2880,11

31,19

24

86

76,67

9,33

87,11

1,14

25

77

75,22

1,78

3,16

0,04

26

136

52,44

83,56

6981,53

133,12

27

93

50,33

42,67

1820,44

36,17

28

25

92,33

-67,33

4533,78

49,10

29

45

76,67

-31,67

1002,78

13,08

30

48

75,22

-27,22

741,05

9,85

31

12

52,44

-40,44

1635,75

31,19

32

25

50,33

-25,33

641,78

12,75

33

67

92,33

-25,33

641,78

6,95

34

112

76,67

35,33

1248,44

16,28

35

131

75,22

55,78

3111,16

41,36

36

106

52,44

53,56

2868,20

54,69

37

119

50,33

68,67

4715,11

93,68

38

64

92,33

-28,33

802,78

8,69

39

26

76,67

-50,67

2567,11

33,48

40

32

75,22

-43,22

1868,16

24,84

41

69

52,44

16,56

274,09

5,23

42

45

50,33

-5,33

28,44

0,57

43

122

92,33

29,67

880,11

9,53

44

79

76,67

2,33

5,44

0,07

45

32

75,22

-43,22

1868,16

24,84

833,03<= /p>

=  <= /p>

Nota: ElaboraciĂłn en base al cuestionario aplicado a = comerciantes de los mercados de la ciudad de Riobamba (2020).

=  

Análisis: El Chi cuadrado teórico = es de:  El Chi cuadrado de la tabla es <= !--[if gte msEquation 12]>Xi2t=3D46,1942<= ![endif]--> , es decir , finalmente = .

Interpretación: Como el   es mayor a el , entonces se rechaza la hipótesis nula (Ho) y se acepta la hipótesis de investigación (Hi). = El desconocimiento de leyes, = la falta de interés y por el alto cobro de impuestos son las causas para la evasión tributaria en los comerciantes del mercado. La Condamine Oriental, Simón Bolívar y EMMPA, periodo 2019.<= o:p>

Conclusiones

·      =    Las principales causas que arrojo el modelo factorial fue= el desconocimiento de leyes con un porcentaje de varianza del 0,905%, la falta de interĂ©s y el alto cobro de impuestos con un porcentaje de varianza del 90,= 242% son las causas de la evasiĂłn tributaria en los comerciantes en el Mercado,= La Condamine, Oriental, SimĂłn BolĂ­var y EMMPA, perĂ­od= o 2019, donde mencionan que la utilidad de las ventas es mĂ­nima y no es muy significativa la misma que se utiliza para poder invertir en más mercaderĂ= ­a y no para pagar impuestos al SRI, tomando en cuenta que están conscientes de ciertas leyes tributarias pero si carecen de otras tambiĂ©n.

·      =    Se pudo determinar que el grado de causalidad entre la conciencia tributaria y la evasiĂłn tributaria en los comerciantes en el Mercado, La Condamine, Oriental, SimĂłn BolĂ­va= r y EMMPA, perĂ­odo 2019 es de 90.24% es un valor significativo donde los comerciantes saben de sus obligaciones tributarias, pero prefieren evadir aduciendo que no tienen tiempo, hay mucho que desconocen de las normativas y reglamentos del servicio de rentas internas. 

·      =    Los comerciantes consideran que pagar otro tipo de impues= tos, además del tributario no representa ningĂşn beneficio para ellos, además = que las multas e intereses son muy altos, el mismo que va en contra de la economĂ­a= de cada uno, mencionando que la utilidad de las ventas es mĂ­nima, la cual ayu= da para el sustento de sus hogares y en algo poder invertir en más mercaderĂ­a. 

Referencias bibliográficas

Asamblea Nacional (2020). CĂłdigo Tributario,

<= span lang=3DEN-US style=3D'color:black;mso-color-alt:windowtext'>Benkraiem, R., Uyar, A., Kilic, M., & Schneider, F. (2021). Ethical behavior, auditing strength, and tax evasion:= A worldwide perspective. Journal of International Accounting, Auditing and Taxation, 100380.

<= span lang=3DEN-US style=3D'color:black;mso-color-alt:windowtext'>CĂłrdova= , R. C. L. (201= 4). La e= vasiĂłn tributaria y su consecuencia en el desarrollo econĂłmico de paĂ­s. In Crescendo5= (2), 253-266.

<= span lang=3DEN-US style=3D'color:black;mso-color-alt:windowtext'>Culiberg= , B., & Bajde, D. (2014). Do you need a receipt? Exploring co= nsumer participation in consumption tax evasion as an ethical dilemma. Jou= rnal of business ethics124(2), 271-282.

<= span lang=3DEN-US style=3D'color:black;mso-color-alt:windowtext'>Gaaya, S., Lakhal, N., & Lakhal,= F. (2017). Does family ownership reduce corporate tax avoidance? The moderating effect of audit quality. Managerial Auditing Journal.

GADM-R. (201= 9). Catastro Comerciantes Mercados

HenrĂ­quez, J. Y. (2015). EvasiĂłn tributaria: atentado a la equidad. Revista de estudios tributarios, (13), ág-171.

<= span style=3D'color:black;mso-color-alt:windowtext;mso-ansi-language:ES-MX'>Jorr= att y Podestá. (2010). La tributación directa, evasión en el impuesto a la ren= ta y desafíos, capítulo IV, en Evasión y equidad en América Latina, Document= o de Proyecto, Naciones Unidas, CEPAL. Chile.

MĂ©ndez, M. (2004). Cultura tributaria vs. ConstituciĂłnEspacio Abierto1= 3(1), 123-137.

<= span style=3D'color:black;mso-color-alt:windowtext;mso-ansi-language:ES-MX'>Parr= aga Per= eira, D. A. (2017). Análisis de la evasiĂłn tributaria en ecuador a trav= Ă©s de compras a empresas fantasmas; procesos de control para su detecciĂłn&nb= sp;(Bachelor's thesis).

Puente, M., & Solano,= K.. (2020). Efectos del impuesto a la salida de divisas en el sector industrial importador de Riobamba, Ecuador (Effects of the Exit of Foreign Currency Tax in the Importing Industrial = Sector of Riobamba, Ecuador). RAN-Rev= ista Academia & Negocios5(2).

Richardson, G. (2008). The relationship between culture and tax evasion across countries: Additional evidence and extensions. Journal of International Accounting, Audit= ing and Taxation17(2), 67-78.

RodrĂ­guez, G. V. (2018). La evasiĂłn tributaria y sus efectos en los recurs= os directamente recaudados de la Municipalidad Distrital de Parobamba, 2016.

Sánchez, A., Bes, M., & González & MartĂ­nez, M. (2014). = Análisis factorial. In BioestadĂ­stica amigable (pp. 487-512). Else= vier España.

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PARA CITAR EL ARTĂŤCULO INDEXADO.

 

 

Ruiz Ăvila, M. J., & Arias Gonzá= lez , I. P. (2021). AplicaciĂłn del modelo factorial en la mediciĂłn de las causa= s de la evasiĂłn tributaria en los comerciantes en el mercado: La Condamine, Oriental, SimĂłn BolĂ­var y EMMPA, perĂ­odo 2019. Visionario Digital, 5(3),= 29-40. https://doi.org/10.33= 262/visionariodigital.v5i3.1745

 

 


 

El artĂ­culo que se publica es de exclusiva responsabilidad de los autores y no necesariamente reflejan el pensamiento de la Revista Visionario Digital.

 

El artĂ­culo queda en propiedad de la revista y, por tanto, su publicaciĂłn parcial y/o total en otro medio tiene= que ser autorizado por el director de la Revista Visionario Digital.

 

 

 

 <= /o:p>



[1] Universidad Nacional de Chimborazo, Carrera de Contabilidad y AuditorĂ­a, C= himborazo, mjruiz.fpa@unach.edu.ec, https://orcid.org/0000-0002-3075-0617

[2] Universidad Nacional de Chimborazo, Carrera de Contabilidad y AuditorĂ­a, Chimborazo. i= van.arias@unach.edu.ec, https://orcid.org/0000-0002-6842-848X

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