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

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Research Instrument.

Variable Name Instrument Reference No. of items Scale
Economic Impact Al-Saad et al., (2018); Kim, (2002); Kim et al., (2013). 8 1–5
Social Impact Kim, (2002); Kim et al., (2013). 6 1–5
Cultural Impact Kim, (2002); Kim et al., (2013); Mathew & Sreejesh, (2017). 7 1–5
Environmental Impact Kim, (2002); Kim et al., (2013); Mathew & Sreejesh, (2017). 5 1–5
QOL Kim, (2002); Kim et al., (2013); Mathew & Sreejesh, (2017). 22 1–5
Support for Tourism (SFT) Nunkoo & So, (2016) 6 1–5
Demographic variables Kim, (2002); Kim et al., (2013); Mathew & Sreejesh, (2017). 7 -

Multicollinearity table for Tolerance, VIF, and Condition index.

Construct Tolerance VIF Condition index
ECOI_AVG .349 2.864 7.111
SOCI_AVG .474 2.109 9.469
CULI_AVG .543 1.842 12.083
ENVI_AVG .988 1.012 16.546

Discriminant Validity.

Variable ECOI SCOI CULI ENVI QOL SFT
ECOI 0.7097
SCOI 0.4038 0.7726
CULI 0.3636 0.4096 0.7724
ENVI 0.0004 0.000576 0.0004 0.7141
QOL 0.7039 0.4019 0.2862 0.0003 0.7304
SFT 0.664 0.2714 0.1892 0.000169 0.64 0.8120

Regression weights for Direct Effect.

Predictors Estimates R2 Adjusted R2 F t-value Sig. Results
QOL ← ECOI .790 .595 .595 822.070 28.672 .000 Supported
QOL ← SCOI .582 .352 .351 303.791 17.430 .000 Supported
QOL ← CULI .482 .251 .250 187.726 13.701 .000 Supported
QOL ← ENVI −0.05 .001 .000 .821 −.906 .365 Rejected
SFT ← QOL .878 .603 849.932 29.154 .000 .603 Supported

Respondents’ Profile.

Variable Category Frequency Percentage
Gender Male 384 68.4
Female 177 31.6
Total 561 100.0

Age Under 30 25 4.5
31 – 45 187 33.3
46 – 60 177 31.6
61 – 75 97 17.3
above 76 75 13.4
Total 561 100.0

Education Below Matriculation 127 22.6
Matriculation 87 15.5
Intermediate 90 16.0
Graduation 138 24.6
Masters 99 17.6
MS/M.Phil. 3 .5
Doctorate 17 3.0
Total 561 100.0

Occupation Status Retired/agribusiness 59 10.5
Businessman 109 19.4
Govt. job 65 11.6
Pvt. Job 204 36.4
Tourism business 112 20.0
Articrafts 12 2.1
Total 561 100.0

Monthly Income 20000 or less 186 33.2
20001 – 40000 152 27.1
40001 – 60000 84 15.0
60001 – 80000 53 9.4
80001 – 100000 28 5.0
over 100000 58 10.3
Total 561 100.0

Overall 0% 70 12.5
Household 1% – 30% 405 72.2
Income from 31% – 60% 72 12.8
Tourism 61% – 90% 14 2.5
Total 561 100.0

Years of Residency in Hunza Valley 15 years or less 75 13.4
16 – 30 323 57.6
31 – 45 138 24.6
46 – 60 20 3.6
above 61 5 .9
Total 561 100.0

Convergent Validity.

Variables No. of items AVE (%) AVE
ECOI 8 50.369 0.7097
SOCI 6 59.700 0.7726
CULI 7 59.667 0.7724
ENVI 5 50.994 0.7141
QOL 22 53.363 0.7304
SFT 6 65.942 0.8120

Correlation Analysis.

QOL_AVG SFT_AVG
ECOI_AVG Pearson Correlation .772** .660**
Sig. (2-tailed) .000 .000
N 561 561

SOCI_AVG Pearson Correlation .593** .520**
Sig. (2-tailed) .000 .000
N 561 561

CULI_AVG Pearson Correlation .501** .432**
Sig. (2-tailed) .000 .000
N 561 561

ENVI_AVG Pearson Correlation −.038* .051
Sig. (2-tailed) .365 .714
N 561 561

QOL_AVG Pearson Correlation - .777**
Sig. (2-tailed) - .000
N - 561

Pearson Correlations for Multicollinearity.

ECOI_AVG SOCI_AVG CULI_AVG ENVI_AVG
ECOI_AVG 1 .615 .567 .014
SOCI_AVG .615 1 .639 .052
CULI_AVG .567 .639 1 .018
ENVI_AVG .014 .052 .018 1
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