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Tourism Impact Dimensions, Residents’ Quality of Life and Support for Tourism in Hunza Valley, Pakistan Cover

Tourism Impact Dimensions, Residents’ Quality of Life and Support for Tourism in Hunza Valley, Pakistan

Open Access
|Jun 2022

Figures & Tables

Table 1

Respondents’ Profile.

VariableCategoryFrequencyPercentage
GenderMale38468.4
Female17731.6
Total561100.0
AgeUnder 30254.5
31 – 4518733.3
46 – 6017731.6
61 – 759717.3
above 767513.4
Total561100.0
EducationBelow Matriculation12722.6
Matriculation8715.5
Intermediate9016.0
Graduation13824.6
Masters9917.6
MS/M.Phil.3.5
Doctorate173.0
Total561100.0
Occupation StatusRetired/agribusiness5910.5
Businessman10919.4
Govt. job6511.6
Pvt. Job20436.4
Tourism business11220.0
Articrafts122.1
Total561100.0
Monthly Income20000 or less18633.2
20001 – 4000015227.1
40001 – 600008415.0
60001 – 80000539.4
80001 – 100000285.0
over 1000005810.3
Total561100.0
Overall0%7012.5
Household1% – 30%40572.2
Income from31% – 60%7212.8
Tourism61% – 90%142.5
Total561100.0
Years of Residency in Hunza Valley15 years or less7513.4
16 – 3032357.6
31 – 4513824.6
46 – 60203.6
above 615.9
Total561100.0
Table 2

Research Instrument.

Variable NameInstrument ReferenceNo. of itemsScale
Economic ImpactAl-Saad et al., (2018); Kim, (2002); Kim et al., (2013).81–5
Social ImpactKim, (2002); Kim et al., (2013).61–5
Cultural ImpactKim, (2002); Kim et al., (2013); Mathew & Sreejesh, (2017).71–5
Environmental ImpactKim, (2002); Kim et al., (2013); Mathew & Sreejesh, (2017).51–5
QOLKim, (2002); Kim et al., (2013); Mathew & Sreejesh, (2017).221–5
Support for Tourism (SFT)Nunkoo & So, (2016)61–5
Demographic variablesKim, (2002); Kim et al., (2013); Mathew & Sreejesh, (2017).7-
Table 3

Pearson Correlations for Multicollinearity.

ECOI_AVGSOCI_AVGCULI_AVGENVI_AVG
ECOI_AVG1.615.567.014
SOCI_AVG.6151.639.052
CULI_AVG.567.6391.018
ENVI_AVG.014.052.0181

[i] Note: Indicate collinearity > 0.9 or above

Table 4

Multicollinearity table for Tolerance, VIF, and Condition index.

ConstructToleranceVIFCondition index
ECOI_AVG.3492.8647.111
SOCI_AVG.4742.1099.469
CULI_AVG.5431.84212.083
ENVI_AVG.9881.01216.546

[i] Note: Indicate significance (tolerance>0.1, VIF<10, condition index < 30)

Table 5

Convergent Validity.

VariablesNo. of itemsAVE (%)AVE
ECOI850.3690.7097
SOCI659.7000.7726
CULI759.6670.7724
ENVI550.9940.7141
QOL2253.3630.7304
SFT665.9420.8120
Table 6

Discriminant Validity.

VariableECOISCOICULIENVIQOLSFT
ECOI0.7097
SCOI0.40380.7726
CULI0.36360.40960.7724
ENVI0.00040.0005760.00040.7141
QOL0.70390.40190.28620.00030.7304
SFT0.6640.27140.18920.0001690.640.8120

[i] Note: Square root of AVE on the diagonal

Table 7

Correlation Analysis.

QOL_AVGSFT_AVG
ECOI_AVGPearson Correlation.772**.660**
Sig. (2-tailed).000.000
N561561
SOCI_AVGPearson Correlation.593**.520**
Sig. (2-tailed).000.000
N561561
CULI_AVGPearson Correlation.501**.432**
Sig. (2-tailed).000.000
N561561
ENVI_AVGPearson Correlation−.038*.051
Sig. (2-tailed).365.714
N561561
QOL_AVGPearson Correlation-.777**
Sig. (2-tailed)-.000
N-561

* Correlation is significant at the 0.05 level (2-tailed).

** Correlation is significant at the 0.01 level (2-tailed).

Table 8

Regression weights for Direct Effect.

PredictorsEstimatesR2Adjusted R2Ft-valueSig.Results
QOL ← ECOI.790.595.595822.07028.672.000Supported
QOL ← SCOI.582.352.351303.79117.430.000Supported
QOL ← CULI.482.251.250187.72613.701.000Supported
QOL ← ENVI−0.05.001.000.821−.906.365Rejected
SFT ← QOL.878.603849.93229.154.000.603Supported

[i] ECOI=economic impact, SCOI= social impact, CULI=cultural impact, ENVI=environmental impact, QOL=quality of life.

DOI: https://doi.org/10.2478/ejthr-2021-0018 | Journal eISSN: 2182-4924 | Journal ISSN: 2182-4916
Language: English
Page range: 195 - 209
Submitted on: Aug 4, 2020
Accepted on: Mar 9, 2020
Published on: Jun 29, 2022
Published by: Polytechnic Institute of Leiria
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2022 Zaibunnisa Khan, Fazeelat Masood, Mubashir Ali Khan, published by Polytechnic Institute of Leiria
This work is licensed under the Creative Commons Attribution 4.0 License.