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Programa permanente de análisis de la demanda turística del Puyo, observatorio turístico de la Universidad Estatal Amazónica

 

Permanent= program of analysis of the tourist demand of Puyo of = tourist observa= tory of the Amazon State University

 

Mayra Pinta Rodríguez.[1], Dunia Chávez Espond= a. [2] & Eduardo Ruiz Mármol. [3]

 <= /o:p>

Recibido: 22= -04-2019 / Revisado: 19-05-2019 /Aceptado: 24-06-2019/ Publicado: 05-07-2019

 

Abstract.                                DOI: <= span lang=3DEN-US style=3D'mso-ansi-language:EN-US'>https://doi.org/10.33262/cie= nciadigital.v3i3.651

 

Communication is essential for social change, respecting languages ​​and history, creating a communicative identity that looks to the future in a proposal based on dialogue. So since 2015, Ecuador has used a strategic tool that = allows it to update tourism statistics by means of the economic aspect. In the Amazonian region, the scar= ce and informal statistical information of the tourist demand, that support the decision making, led to the Amazon State University implementing the Tourist Observatory, denominated with acronyms OT-UEA. The present research was based on the Management Model of the OT-UEA, to create the Permanent Program for the Analysis of Tourism Demand. The methodology applied to knowledge searching was scientif= ic observation as a method, which consisted of direct observation expressed by= the perceptions of visitors who came to the different tourist attractions of the city of Puyo. The Inductive - Deductive method = was also used to identify the main variables and the survey technique of the re= search was structured and organized for the collection of information, aimed at all visitors who arrived at the most popular tourist attractions. Finally, with= the data obtained it was possible to know the tourist demand (profile of the visitors) and to design the first newsletter OT-UEA 2018 for its diffusion, which will serve as an instrument for decision making of the actors within = the tourism system.

Key Words: Program, Tourist Demand, Puyo= , Tourist Observatory.

 

Resumen.

La comunicación es indispensable para el cambio social, respetando las lenguas= y la historia, gestando una identidad comunicativa que mire al futuro un esti= lo basado en el diálogo. Es por ello que Ecuador desde el año 2015 util= iza una herramienta estratégica que le permita actualizar las estadísticas del turismo a través del aspecto económico. En la región Amazónica la escasa e informal información estadística = de la demanda turística que respalden la toma de decisiones originó que la Universidad Estatal Amazónica implemente el Observatorio Turístico denomina= do con siglas OT-UEA. La presente investigación, se amparó en el Modelo de Ges= tión del OT-UEA, para crear el Programa Permanente del Análisis de la Demanda Turística.  La metodología que se aplicó para la búsqueda de conocimientos fue la observac= ión científica como método, que consistió en la observación directa expresada p= or las percepciones de los visitantes que acudieron a los diferentes atractivos turísticos de la ciudad de Puyo.  <= span style=3D'color:black;mso-color-alt:windowtext;background:white'>También se utilizó el método Inductivo – Deductivo, para identificar las principales variables y la técnica mediante la cual se estructuró y organiz= ó la investigación para la recolección de información fue la encuesta, dirigida a todos los visitantes que llegaron a los atractivos turísticos más concurrid= os. Finalmente, con los datos obtenidos se pudo conocer la demanda turística (perfil de los visitantes) y realizar el diseño del primer boletín Informativo OT-UEA 2018 para su difusión, mismo q= ue servirá de instrumento para toma de decisiones de los actores dentro del sistema turístico.

Palabras Clave= : Programa, Demanda Turística, Puyo, Observatorio Turístico.

Introducción

Ecuador en el año 2015 implementó la Cuenta Satélite de Turismo convirtiéndose en uno de los 60 países en disponer de esta herramienta estr= atégica bajo las normas internacionales y metodologías propuestas por la Organizaci= ón Mundial del Turismo (OMT) que permite un progreso en la actualización de las estadísticas del turismo en el aspecto económico; a través, de la medición = de los bienes y servicios adquiridos por los visitantes en los diferentes sectores (Minis= terio de Turismo, 2015).

La OMT (2017) señaló que, debido al incremento de destinos turísticos a nivel mundial, recibió de los Estados Miembros solicitudes de asistencia estadística con la finalidad de desarrollar información de los tipos de visitantes para la toma de decision= es; conservando el medio ambiente y la cult= ura del patrimonio; convirtiendo al turismo en el causal del crecimiento sosten= ible e inclusivo.

En la Región Amazónica, debido a la escasa e informal información estadística de la llegada de turistas, el comportamien= to de la demanda, el asesoramiento en proyectos de inversión, la oferta instal= ada, entre otros factores que respaldan la toma decisiones; la UEA implementó el Observatorio Turístico (OT-UEA) en el año 2011, con el fin de entregar proyecciones socioeconómicas, estudios e investigaciones, formación por competencias y asistencia técnica en la gestión de negocios turísticos, para potenciar la competitividad del sector turístico en la Región Amazónica; as= í se cita en su Modelo de Gestión (Rangel, UEA 2013).

Entre los objetivos estratégicos de la UEA (2018), estuvo contribuir al desarrollo local, regional y nacional generando nexos entre la Universidad y la Sociedad, a través de planes con nuevas alternati= vas que ayuden a solucionar problemas sociales y tecnológicos para fomentar la conservación de la naturaleza. Se ha considerado al OT-UEA como un eje de gestión de la UEA, a su personal académico y estudiantil para recolectar, procesar, analizar y difundir información confiable que servirá de herramie= nta para el desarrollo turístico, su modernización y potenciación de nuevos instrumentos que permitan estar a la vanguardia de los retos de la actualid= ad, permitiendo acceder los posibles visitantes a las diferentes ofertas (Ascan= io, 2012; Centro de Estudios Superiores en Turismo, 2012).

La presente investigación, amparada= en el Modelo de Gestión del OT-UEA, presenta el Programa Permanente del Anális= is de la Demanda Turística, diseñado exclusivamente para la ciudad de Puyo, iniciado en marzo de 2018 con la fase administrativa y metodológica, en abr= il con la recopilación de información, culminando en la implementación y publicación del primer boletín en septiembre 2018 que se encuentra actualme= nte disponible para toda la colectividad. La implementación de un Programa Permanente de Análisis de la Demanda Turís= tica permite generar información estadística suficiente, formal y constante con = la intención de orientar a los actores de la actividad turística en sus decisiones = (Boullón, 200= 6).

 

Materiales y Métodos

Ecuador se encuentra ubicado al Sur del continente americano, está conformado por 24 provincias entre ellas Pastaza, cuya extensión es de 29 520 , una altura de 930 msnm, clima tropical húmedo que circunda los 20˚C. Su capital es Puyo, una ciudad con diversidad de flora y fauna es generadora de varios atractivos turísticos.

La investigación tuvo un diseño no experimental, de tipo descriptivo, transversal y correlacional, que permitió la recolección = de la información de primera línea de las variables de acuerdo a la demanda y = la entrega de reportes que alimentarán el OT-UEA. El enfoque investigativo fue cuantitativo y cualitativo. Se establecieron las competencias de los organi= smos de la superestructura turística en relación de la demanda aplicando un anál= isis descriptivo, realizando una identificación de involucrados, estudiando la normativa vigente y sistematizando la información.

El Programa Permanente se diseñó en tres fases: 1. Modelo administrativo y operativo del programa con la estructura organizati= va, orgánico funcional y procesos fundamentales; 2. Diseño estadístico en funci= ón de los requerimientos de información y considerando los indicadores que debe levantar el OT-UEA. Se estructuró la encuesta que recogió las necesidades y permitió realizar un análisis cuantitativo de la demanda turística; 3. Esbo= zo y publicación del boletín trimestral digital.

Para su implementación se puso en funcionamiento el Programa Permanente propuesto a partir del sexto mes del año 2018 realizando las siguientes actividades: 1.Se asignó los responsables del proceso por el orgánico funcional, 2.Se validó la herramienta de recopilación de informaci= ón utilizando la muestra a partir de población infinita, 3.Se elaboró el diagr= ama de intervención en territorio (encuestas), 4. Se realizó el trabajo de camp= o de aplicación de encuestas, 5. Se publicó el boletín Informativo Trimestral OT= -UEA 2018 con la información sistematizada.

Los datos primarios de la información turística, se recolectaron a través de encuestas, emitidas por autoridades, prestadores de servicios turísticos, turistas involucrados en la actividad turística del P= uyo. La información secundaria fue recolectada de documentos (libros, revistas, tesis, páginas web). Se utilizó un muestreo probabilístico (aleatorio) orie= ntado al segmento de visitantes al Puyo. La muestra quedó conformada por 385 encuestas dirigidas a los visitantes. Esta muestra fue considerada en cada = mes de la investigación (junio, julio y agosto 2018) dando un total de 1.155 encuestados.

Para analizar la validez del cuestiona= rio se utilizó el Alfa de Cronbach. Se utilizaron Tablas de Contingencia, Prueb= as Chi-cuadrado y Coeficientes de Contingencia para ver la relación significativa entre las variables cualitativas. Se tomó un nivel de significación del 5% y confiabilidad del 95%. Las variables relacionadas entre sí, se usaron para = la elaboración de las tablas personalizadas que contribuyeron a definir la dem= anda turística en los meses analizados. Los datos fueron procesados utilizando el software estadístico SPSS, versión 22.0. Finalmente, para el diseño del pri= mer boletín se generaron doce grupos de variables de relevancia para esta investigación, mismos que constituyeron la base de la publicación.

Resultados y Discusión

La estructura organizativa para el Programa Permanente del OT-UEA referido a la Demanda Turística de Puyo, se muestra a continuación (Figura 1):=

Figu= ra 1: Estructura organizativa para el programa permanente del OT-UEA =

Di= rección del Programa Permanente del OT-UEA: Dirigido por un profesional con título de cuarto nivel y Economista de profesión, con experiencia en el diseño de estudios económico= s y con un amplio conocimiento de economía, econometría, estadística, investiga= ción de mercados y mercadeo de servicios. Sus funciones serán: Dirigir y coordin= ar administrativa y operativamente el Programa Permanente del OT-UEA, encargán= dose de toda la información que surge de la actividad turística y estructurar y diseñar el perfil requerido para el equipo administrativo y operativo.=

Co= ordinación Operativa del Programa Permanente del OT-UEA: Conformada por un profesional Economista, Ingeniero Comercial, Ingeniero en Estadística, o Ingeniero en Turismo con un amplio conocimiento= de economía, econometría, estadística, investigación de mercados y mercadeo de servicios. Sus funciones serán: Generar información confiable de la demanda turística para la toma de decisiones de los diferentes actores turísticos y entregar una información trimestral a través de un boletín del análisis de = la demanda turística en la ciudad de Puyo. Dentro de esta coordinación encontr= amos dos unidades:

Co= ordinación Administrativa del Programa Permanente del OT-UEA: Conformada por un profesional Economista, Ingeniero Comercial, Ingeniero en Estadística, o Ingeniero en Turismo con un amplio conocimiento= en administración, finanzas, proyectos, estadística, investigación de mercados= y mercadeo de servicios. Sus funciones serán: Coordinar el proceso metodológi= co del diseño, difusión, manejo de las redes sociales, proyectos y capacitació= n y emitir directrices para la evaluación de proyectos de inversión en el sector turístico. Esta coordinación cuenta con una unidad que a continuación se detalla:

Los resultados del an= álisis de fiabilidad para verificar la validez estadística de la encuesta mostraro= n un Alfa de Cronbach con un valor de 0,962 lo cual confirma la fiabilidad y val= idez del cuestionario ya que dicho valor es muy cercano a 1. Luego las escalas consideradas en las variables de estudio fueron excelentes según criterios = de George & Mallery (2003), quienes pl= antean que un coeficiente Alfa de Cronbach superior a 0.9 se considera excelente.<= o:p>

 

Luego de haber valida= do la fiabilidad del instrumento, se analizó la relación estadísticamente significativa entre las variables en estudio con las Tablas de contingencia, Pruebas de hipótesis Chi-cuadrado y Coeficiente= s de contingencia. Se consideraron las variables según el objetivo de la investigación y los indicadores que se mencionaron en el OT-UEA para la medición de la demanda turística: Género, Edad, Ciudad= _País, Atractivo turístico, Gasto turístico, Ingresos, Medios de Información, Moti= vo de visita, Noches de estadía, Idea de la ciudad y Tipo de alojamiento. El anál= isis de la relación estadísticamente significativa entre las variables antes mencionadas se muestra a continuación, considerando un nivel de significaci= ón del 5% y un nivel de confiabilidad del 95% (Tablas 1, 2 y 3).

 

 

Tabla 1: Resultados prueba Chi-cuadrado y Coeficiente de contingencia, datos de junio 2018=

MES JUNIO 2018<= o:p>

Combinación de variables

Variables comparadas

Chi-cuadrado de Pearson

Coeficiente de contingencia

Valor

Gl

Sig. asintótica= (2 caras)

Valor

Aprox. Sig.

1

Género + Edad + Ciudad_País + Atractivo turístico

Género + Parque Acuático Morete Puyu

9,190

1

0,002

0,453

0,002

Edad + Parque Acuático Morete Puyu

9,586

5

0,009

0,559

0,009

Ciudad_País + Parque Acuático Morete Puyu

82,762

27

0,000

0,421

0,000

Género + Parque Central Doce de Mayo

8,752

1

0,003

0,491

0,003

Edad + Parque Central Doce de Mayo=

25,108

5

0,000

0,474

0,000

Ciudad_País + Parque Central Doce de Mayo

125,700

27

0,000

0,496

0,000

Género + Museo Etnoarque= ológico de Pastaza

8,301

1

0,004

0,453

0,004

Edad + Museo Etnoarqueol= ógico de Pastaza

7,000

5

0,022

0,434

0,022

Ciudad_País + Museo Etnoarqueológico de Pastaza

27,966

27

0,041

0,426

0,041

Género + Refugio de Vida Silvestre Yana Cocha=

3,526

1

0,006

0,495

0,006

Edad + Refugio de Vida Silvestre Yana Cocha

10,336

5

0,007

0,617

0,007

Ciudad_País + Refugio de Vida Silvestre Yana Cocha

158,812

27

0,000

0,540

0,000

Género + Paseo turístico del Río Puyo

0,001

1

0,010

0,540

0,010

Edad + Paseo turístico del Río Puyo

11,468

5

0,043

0,701

0,043

Ciudad_País + Paseo turístico del Río Puyo

91,824

27

0,000

0,439

0,000

Género + Malecón Boayaku= Puyu

3,152

1

0,008

0,901

0,008

Edad + Malecón Boayaku Puyu

13,036

5

0,023

0,481

0,023

Ciudad_País + Malecón Boayaku Puyu

136,241

27

0,000

0,511

0,000

Género + Parque Etnobotánico Omaere

6,098

1

0,014

0,487

0,014

Edad + Parque Etnobotánico Omaere

13,313

5

0,021

0,483

0,021

Ciudad_País + Parque Etnobotánico Omaere

156,432

27

0,000

0,538

0,000

Género + Jardín Botánico Las Orquídeas

6,098

1

0,014

0,487

0,014

Edad + Jardín Botánico Las Orquídeas

17,461

5

0,004

0,421

0,004

Ciudad_País + Jardín Botánico Las Orquídeas

153,438

27

0,000

0,534

0,000

Género + Dique del Río P= ambay

1,903

1

0,017

0,701

0,017

Edad + Dique del Río Pam= bay

16,190

5

0,006

0,420

0,006

Ciudad_País + Dique del Río Pambay

96,042

27

0,000

0,447

0,000

Género + Dique Las Palmas

17,132

1

0,000

0,421

0,000

Edad + Dique Las Palmas

6,203

5

0,029

0,426

0,029

Ciudad_País + Dique Las Palmas

69,950

27

0,000

0,420

0,000

Género + Parque Real de Aves Exóticas

8,442

1

0,004

0,465

0,004

Edad + Parque Real de Aves Exóticas

6,932

5

0,023

0,433

0,023

Ciudad_País + Parque Real de Aves Exóticas

45,620

27

0,014

0,433

0,014

Género + Otro

0,220

1

0,006

0,401

0,006

Edad + Otro

20,946

5

0,001

0,427

0,001

Ciudad_País + Otro

122,928

27

0,000

0,492

0,000

 <= /p>

 

Tabla 2: Resultados prueba Chi-cuadrado y Coeficiente de contingencia, datos= de Julio 2018=

JULIO 2018=

Combinación de variables

Variables comparadas

Chi-cuadrado de Pearson

Coeficiente de contingencia

Valor

Gl

Sig. asintótica= (2 caras)

Valor

Aprox. Sig.

1

Género + Edad + Ciudad_País + Atractivo turístico

Género + Parque Acuático Morete <= span class=3DSpellE>Puyu                      =

0,729

1

0,039

0,435

0,039

Edad + Parque Acuático Morete Puyu

7,411

5

0,019

0,437

0,019

Ciudad_País + Parque Acuát= ico Morete Puyu

60,588

37

0,009

0,409

0,009

Género + Parque Central Doce de M= ayo

0,456

1

0,045

0,440

0,045

Edad + Parque Central Doce de May= o

8,842

5

0,012

0,498

0,012

Ciudad_País + Parque Centr= al Doce de Mayo

63,130

37

0,005

0,438

0,005

Género + Museo Etnoarqueológico de Pastaza

0,104

1

0,047

0,416

0,047

Edad + Museo Etnoarqueológico de Pastaza

14,505

5

0,013

0,450

0,013

Ciudad_País + Museo Etnoarqueológico de Pastaza

73,512

37

0,000

0,401

0,000

Género + Refugio de Vida Silvestre Yana Cocha

0,001

1

0,048

0,466

0,048

Edad + Refugio de Vida Silvestre = Yana Cocha

20,103

5

0,001

0,422

0,001

Ciudad_País + Refugio de V= ida Silvestre Yana Cocha

76,828

37

0,000

0,408

0,000

Género + Paseo turístico del Río = Puyo

0,025

1

0,049

0,480

0,049

Edad + Paseo turístico del Río Pu= yo

12,973

5

0,024

0,418

0,024

Ciudad_País + Paseo turíst= ico del Río Puyo

80,034

37

0,000

0,415

0,000

Género + Malecón Boayaku Puyu

2,181

1

0,014

0,470

0,014

Edad + Malecón Boayaku Puyu

2,802

5

0,030

0,450

0,030

Ciudad_País + Malecón Boayaku Puyu=

70,005

37

0,001

0,402

0,001

Género + Parque Etnobotánico Omaere

3,604

1

0,048

0,463

0,048

Edad + Parque Etnobotánico Omaere

10,302

5

0,047

0,432

0,047

Ciudad_País + Parque Etnobotánico Omaere

79,354

37

0,000

0,413

0,000

Género + Jardín Botánico Las Orquídeas

11,383

1

0,001

0,469

0,001

Edad + Jardín Botánico Las Orquíd= eas

4,337

5

0,020

0,406

0,020

Ciudad_País + Jardín Botán= ico Las Orquídeas

53,484

37

0,039

0,419

0,039

Género + Dique del Río Pambay

0,089

1

0,026

0,452

0,026

Edad + Dique del Río Pambay

12,382

5

0,030

0,418

0,030

Ciudad_País + Dique del Rí= o Pambay

56,304

37

0,022

0,407

0,022

Género + Dique Las Palmas

0,447

1

0,038

0,405

0,038

Edad + Dique Las Palmas

14,432

5

0,013

0,402

0,013

Ciudad_País + Dique Las Pa= lmas

52,538

37

0,047

0,407

0,047

Género +  Parque Real de Aves Exóticas

0,420

1

0,017

0,433

0,017

Edad + Parque Real de Aves Exótic= as

5,467

5

0,036

0,412

0,036

Ciudad_País + Parque Real = de Aves Exóticas

35,236

37

0,045

0,403

0,045

Género + Otro

0,070

1

0,017

0,413

0,017

Edad + Otro

2,374

5

0,038

0,428

0,038

Ciudad_País + Otro

74,627

37

0,000

0,403

0,000

 

 

Tabl= a 3: Resultados prueba Chi-cuadrado y Coeficiente de contingencia, datos= de agosto 2018=

AGOSTO 2018

Combinación de variables

Variables comparadas

Chi-cuadrado de Pearson

Coeficiente de contingencia

Valor

Gl

Sig. asintótica= (2 caras)

Valor

Aprox. Sig.

1

Género + Edad += Ciudad_País + Atractivo turístico=

Género + Parque Acuático Morete Puyu

1,328

1

0,025

0,586

0,025

Edad + Parque Acuático Morete Puyu

10,046

5

0,039

0,416

0,039

Ciudad_País + Parque Acuát= ico Morete Puyu

70,617

49

0,023

0,404

0,023

Género + Parque Central Doce de Mayo

0,161

1

0,047

0,420

0,047

Edad + Parque Central Doce de Mayo

1,528

5

0,010

0,429

0,010

Ciudad_País + Parque Centr= al Doce de Mayo

51,065

49

0,039

0,422

0,039

Género + Museo = Etnoarqueológico de Pastaza

0,141

1

0,043

0,412

0,043

Edad + Museo Etnoarqueológico de Pastaza

4,199

5

0,021

0,410

0,021

Ciudad_País + Museo Etnoarqueológico de Pastaza

85,272

49

0,001

0,426

0,001

Género + Refugi= o de Vida Silvestre Yana Cocha

0,030

1

,029=

0,409

,029=

Edad + Refugio = de Vida Silvestre Yana Cocha

1,758

5

0,015

0,429

0,015

Ciudad_País + Refugio de V= ida Silvestre Yana Cocha

79,387

49

0,004

0,413

0,004

Género + Paseo turístico del Río Puyo

1,798

1

0,018

0,417

0,018

Edad + Paseo turístico del Río Puyo

9,634

5

0,029

0,416

0,029

Ciudad_País + Paseo turíst= ico del Río Puyo

54,194

49

0,028

0,413

0,028

Género + Malecó= n Boayaku Puyu=

0,936

1

0,033

0,424

0,033

Edad + Malecón = Boayaku Puyu=

2,977

5

0,036

0,409

0,036

Ciudad_País + Malecón Boayaku Puyu=

64,365

49

0,042

0,438

0,042

Género + Parque Etnobotánico Omaere

1,342

1

0,025

0,406

0,025

Edad + Parque Etnobotánico Omaere

7,917

5

0,016

0,419

0,016

Ciudad_País + Parque Etnobotánico Omaere

90,256

49

0,000

0,436

0,000

Género + Jardín Botánico Las Orquídeas

6,557

1

0,010

0,413

0,010

Edad + Jardín Botánico Las Orquídeas

6,178

5

0,029

0,426

0,029

Ciudad_País + Jardín Botán= ico Las Orquídeas

92,588

49

0,000

0,440

0,000

Género + Dique = del Río Pambay

0,296

1

0,012

0,428

0,012

Edad + Dique del Río Pambay

10,152

5

0,010

0,416

0,010

Ciudad_País + Dique del Rí= o Pambay

60,571

49

0,012

0,404

0,012

Género + Dique = Las Palmas

0,043

1

0,035

0,411

0,035

Edad + Dique Las Palmas

4,959

5

0,042

0,411

0,042

Ciudad_País + Dique Las Pa= lmas

36,971

49

0,048

0,403

0,048

Género +  Parque Re= al de Aves Exóticas

0,563

1

0,045

0,438

0,045

Edad + Parque R= eal de Aves Exóticas

8,158

5

0,015

0,440

0,015

Ciudad_País + Parque Real = de Aves Exóticas

40,758

49

0,028

0,409

0,028

Género + Otro

0,605

1

0,044

0,420

0,044

Edad + Otro

15,087

5

0,010

0,419

0,010

Ciudad_País + Otro

76,919

49

0,007

0,408

0,007

Las tablas anteriores muestran que to= das las variables resultaron altamente relacionadas entre sí para los tres mese= s considerados (junio, julio y agosto 2018) debido a que reflejaron un valor de significac= ión inferior a 0.05, por lo cual se rechaza la hipótesis nula Ho, considerando las siguientes hipótesis:=

H0: las variables son independientes (no están relacionadas entre sí).

H1: las variables son dependientes (si están relacionadas entre sí).=

Por otro lado, los resultados del coeficiente de contingencia confirman la existencia de relación estadísticamente significativa entre todas las varia= bles analizadas ya que sus valores están por encima de 0.40, según los criterios= de Florián (2014) = quien plantea que un valor de este coeficiente superior a 0.30 se considera que l= os indicadores o variables están fuertemente relacionados entre sí.  El coeficiente de contingencia es una m= edida de relación estadística y expresa la intensidad de dicha relación entre dos= o más variables nominales u ordinales.

Los resultados obtenidos sobre los indicadores analizados en base a la demanda turística, permiten conocer el Perfil del Visitante a la ciudad de Puyo, que se resume de la siguiente man= era: en los tres meses se nota una mayor visita por parte del género masculino. = En cuanto a la edad de los visitantes se observa que en el mes de junio en su mayoría están entre las edades de 35 a 44, en julio de 25 a 34 y en agosto entre 18 y 24. Se identifica como el principal sitio de procedencia para el= mes de junio a Ambato, en el mes de julio se destacan Quito y Ambato y en agost= o se mantiene Ambato.

 

En los tres meses se evidencia un gasto promedio de hasta 200 USD por la visita a Puyo. Se muestra que los viajeros en el mes de junio decidieron su visita luego de referencias de internet mientras que en los meses de julio y agosto lo hicieron por consul= tas a familiares. En los tres meses se refleja que el motivo de visita es por disponer de tiempo por vacaciones o feriado, seguido por el motivo mismo de hacer turismo, posteriormente descanso que se repite= en los 3 meses. En los tres meses de estudio las encuestas reflejan como el si= tio más visitado al Parque Acuático Morete Puyu, seguido del Dique del Río Pambay. Se muestra en los resultados obtenidos que cuando el viajero hace referencia a= la ciudad de Puyo, su imaginario hace relación a la naturaleza en los tres mes= es. Los resultados de la encuesta reflejan que los visitantes en su mayoría pernoctan donde familiares o amigos en los meses de junio y julio, mientras que en el mes de agosto hacen uso de hostales y familiares o amigos en igual proporción.

 

Se diseñó el primer boletín (Figura 2), a partir de la demanda turística de cada mes y se inici= ó el proceso de publicación de manera impresa y digital. Con este boletín se log= ró el funcionamiento del programa de la demanda turística que tendrá un seguimiento trimestral, considerando las últimas actualizaciones de visitan= tes.

 =

Figura 2. Portada del pri= mer Boletín Informativo Trimestral (BIT-OT-UEA)

Finalmente, el OT-UEA se encargará de institucionalizar este programa para convertirlo en un referente de la información estadística y posteriorm= ente posicionarse como un instrumento cuantitativo de medición, monitoreo y evaluación del comportamiento y tendencias de la demanda turística que esta= rá disponible para toda la colectividad. Su funcionamiento se realiza en base a= las variables que requieren los diferentes actores turísticos y considerando qu= e el turismo es un sector de crecimiento acelerado es necesario disponer de información confiable que sea una verdadera herramienta de gestión. Actualmente, se han identificado un total de 98 observatorios turísticos, distribuidos en 27 países (sólo el 77% están en funcionamiento), mismos que= son organismos importantes ya que sustentan la toma de decisiones tanto de la oferta como la demanda (Blasco & Cueva= s, 2013; Molina & Báez, 2017).     =      

Conclusiones=

 

·      =    Los resultados mostraron la demanda turística en Puyo (perfil del visitante) a partir de las variables más significativas: género, edad, ciudad_país, atractivo turístico, gasto turístico, ingresos, medios de información, moti= vo de visita, noches de estadía, idea_ciudad, tiem= po de planificación, tipo de alojamiento, agencia de viaje, sitio después de la visita y sitio antes de la visita.

·      =    Se establ= eció que las instituciones que tienen competencia dentro del turismo carecen de información de la demanda turística.

·      =    Se diseñó= e implementó el programa permanente el cual permite conocer la demanda turíst= ica para la toma de decisiones de los actores turísticos, tomando de referencia= la estructura organizativa del modelo de gestión del OT-UEA.

·      =    Se elabor= ó el primer Boletín Informativo OT-UEA 2018 para su difusión, que servirá de instrumento para la toma de decisiones de los actores dentro del sistema turístico y el mismo se actualizará permanentemente en períodos trimestrale= s.

 

Referencias Bibliográficas

Ascanio, A. (2012). Teoría del turismo. México: Editorial Trillas.

Blasco, D., & Cuevas, T. (201= 3). Observatorio en Turismo: Organismo inteligente para la toma de decisiones e= n el destino. Revista Iberoamericana de Turismo - RITUR, 25-34.

Boullón, R. (2006). Planificac= ión del espacio turístico. México: Editorial Trillas.

Centro de Estudios Superiores en = Turismo. (2012). www.gob.mx/sectur. Obtenido de www.gob.mx/sectur: file:///C:/Users/pc/Desktop/PCT-UEA%201.0/MARCO%20TEORICO/sectur.pdf

Florián, C. (21/01/2014). www.= prezi.com. Obtenido de www.prezi.com: https://prezi.com/3-hf-etjmkdj/coeficiente-de-contingencia/

George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple gu= ide and reference. 11.0 . Boston: Allyn & Bacon.

Ministerio de Turismo. (19/11/201= 5). www.turismo.gob.ec. Obtenido de www.turismo.gob.ec: file:///C:/Users/pc/Desktop/PCT-UEA%201.0/M= ARCO%20TEORICO/Mintur%20implement%C3%B3%20Cuenta%20Sat%C3%A9lite%20de%20Tur= ismo%20%E2%80%93%20Ministerio%20de%20Turismo.htm#

Molina, E., & Báez, S. (2017). Los Observatorios Turísticos a través de los tiempos . Revista Turydes: Turismo y Desarrollo, n. 22 (junio 2017).

Organización Mundial del Turismo. (2017). http://cf.cdn.unwto.org. Obtenido de http://cf.cdn.unwto.org: http://cf.cdn.unwto.org/sites/all/files/pdf/annual_report_2016_web_0.pdf

Rangel, E. (2013). Observatorio Turístico - Universidad Estatal Amazónica. Puyo.

3Deditorial1.pngUniversidad Estatal Amazónica. (2018). uea.edu.ec. Obtenido de uea.edu.ec: https://www.uea.edu.ec/index.php/inicio/quienes-som= os

 

 

 

 

PARA CITAR EL ARTÍCULO INDEXADO.

 

 

Pinta Rodríguez, M., Chávez Esponda, D., & Ruiz Mármol, E. (2019). Programa permanente de análisis de la demanda turística del Puyo, observatorio turístico de la Universidad Estatal Amazónica. Ciencia Digi= tal, 3(3), 374-385. https://doi.org/10.33262/cienciadigital.v3i3.651

 

3Deditorial1.png

 

 

 

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

 

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

 

3D"logo_catalogo3b.jpg" 3D"Logo_cicncia_digital
 

 



[1] Universidad Estatal Amazónica. Pastaza, Ecuador, mpinta@u= ea.edu.ec

[2] Universidad Estatal Amazónica. Pastaza, Ecuador, dchavez@uea.edu.ec

[3] Universidad Estatal Amazónica. Pastaza, Ecuador, eruiz@uea.edu.ec.

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                                                 =                                                                    <= /span>  ISSN: 2602-8= 085                                                                                           =                   Vol. 3, N°3,= p. 374-385, julio - septiembre, 2019

HERRAMIENTAS TECNOLÓG= ICAS                                                                           =                              Página 374=

 

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