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Residents’ Perceptions about Tourism Development: A Comparative Analysis of Selected Locations in the North of Portugal Cover

Residents’ Perceptions about Tourism Development: A Comparative Analysis of Selected Locations in the North of Portugal

Open Access
|Dec 2024

Figures & Tables

Figure 1:

Map of the northern region of Portugal.

Source: Comissão de Coordenação e Desenvolvimento Regional do Norte (n. d.).

Table 1:

Tourism Social Sustainability Indicators

Overnights 2022*Residents (2021 Census)Tourist Intensity (overnights/100 residents/day), in 2022*Tourist Density (overnights/Km2/day), in 2021*
Norte11 556 6453 586 5860.080.79
Arcos de Valdevez80 26320 7180.090.39
Guimarães320 866156 8300.052.26
Porto4 819 168231 8000.54193.97

1 *Data is only available at the municipality level (not parishes)

1 Source: travelBI (2022)

Table 2:

Sample Size and Distribution

PortoGuimarãesPNPGTotal
n%n%n%n%
Total Respondents36548.2226434.8712816.91757100.00

1 Source: Author’s elaboration

Table 3:

Residents’ Profile

PortoGuimarãesPNPGTotal
n%n%n%n%
Total Respondents36548.2226434.8712816.91757100.00
Length of residence in the area
≤10 years6016.44918.61612.512516.51
11–25 years11732.110840.93325.825834.08
26–49 years10127.76123.14434.420627.21
≥50 years8723.84617.43527.316822.19
Age
18–30 years9726.610037.91814.121528.40
31–50 years12835.17227.35442.225433.55
51–65 years6317.36424.22620.315320.21
>65 years7721.12810.63023.413517.83
Gender
Female19152.314956.47155.541154.29
Male17447.711443.25744.534545.57
Civil status
Single10428.510539.84031.324932.89
Married/non-marital cohabitation18550.712145.86550.837149.01
Divorced/separated369.9238.7118.6709.25
Widowed4011.0155.7129.4678.85
Academic qualifications
Cannot read or write10.310.3864.781.06
I can read but no school20.520.7600.040.53
1st cycle (primary education)7520.04416.673728.915620.61
Intermediate (9th grade)11229.92810.612620.316621.93
Secondary/vocational (12th grade)9324.87829.554333.621428.27
High education9224.511142.051612.521928.93
Labour status
Domestic71.941.575.5182.38
Student3810.45621.264.710013.21
Self-employed5414.8269.84434.412416.38
Retired6818.64115.52519.513417.70
Unemployed215.851.9129.4385.02
Seeking 1st job92.5134.900.0222.91
Employee of someone else17447.711945.13426.632743.20

1 Source: Author’s elaboration

Table 4:

Residents’ perceptions of positive impacts

NMMdMR
Improved the image of the place
Porto3654.114339.74
Guimarães2644.585482.51
PN Peneda-Gerês1283.734277.46
Total757
Kruskal-Wallis’ test resultsX2 = 136.180 df = 2 p = 0.001
Infrastructure improvement
Porto3654.084380.08
Guimarães2644.284444.79
PN Peneda-Gerês1283.374240.22
Total757
Kruskal-Wallis’ test resultsX2= 65.561 df = 2 p = 0.001
Opportunities for local businesses
Porto3654.124380.05
Guimarães2644.294448.28
PN Peneda-Gerês1283.304233.12
Total757
Kruskal-Wallis’ test resultsX2= 77.778 df = 2 p = 0.001
Increased jobs for residents
Porto3654.164435.29
Guimarães2643.934387.12
PN Peneda-Gerês1282.913201.73
Total757
Kruskal-Wallis’ test resultsX2= 46.747 df = 2 p = 0.001
Enabled heritage preservation
Porto3653.534360.35
Guimarães2643.954452.93
PN Peneda-Gerês1203.173279.72
Total757
Kruskal-Wallis’ test resultsX2= 88.299 df = 2 p = 0.001

1 N = cases; M = mean; Md = median; MR = mean Rank; X2 = Chi-square; df = degrees of freedom; p = significance level

1 Source: Author’s elaboration

Table 5:

Residents’ Perceptions of Negative Impacts

NMMdMR
Increased prices of goods and services
Porto3654.054370.61
Guimarães2644.445483.54
PN Peneda-Gerês1283.043187.30
Total757
Kruskal-Wallis’ test resultsX2=173.927 df=2 p=0.001
Environmental degradation
Porto3652.833413.81
Guimarães2642.292305.54
PN Peneda-Gerês1282.933431.25
Total757
Kruskal-Wallis’ test resultsX2=29.440 df=2 p=0.001
Reduction of traditional shopping
Porto3651.922377.14
Guimarães2641.972354.28
PN Peneda-Gerês1282.302435.30
Total757
Kruskal-Wallis’ test resultsX2=16.469 df=2 p=0.001
Causes loss of cultural identity
Porto3652.302410.80
Guimarães2641.872316.26
PN Peneda-Gerês1272.342415.04
Total756
Kruskal-Wallis’ test resultsX2=12.795 df=2 p=0.001
Disrupts daily life of residents
Porto3652.973455.52
Guimarães2642.082293.09
PN Peneda-Gerês1282.302337.97
Total757
Kruskal-Wallis’ test resultsX2= 53.044 df = 2 p = 0.001

1 N = cases; M = mean; Md = median; MR = mean Rank; X2 = Chi-square; df = degrees of freedom; p = significance level

1 Source: Author’s elaboration

Table 6:

Employment in the Tourism Sector

PortoGuimarãesGerês
n%n%n%
Total respondents365264128
Family member employed in tourism12434.07929.95341.4
Accommodation3024.21620.31834.0
Restaurants5746.03341.82852.8
Transportation1411.345.11018.9
Agencies and Tour Operators1814.51113.923.8
Events, Entertainment, and Culture129.71113.91222.6
X2= 5.085 df = 2 p = 0.79

1 Source: Author’s elaboration

DOI: https://doi.org/10.2478/ejthr-2024-0014 | Journal eISSN: 2182-4924 | Journal ISSN: 2182-4916
Language: English
Page range: 190 - 205
Submitted on: Feb 1, 2024
Accepted on: Apr 23, 2024
Published on: Dec 31, 2024
Published by: Polytechnic Institute of Leiria
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Goretti Silva, Mariana Oliveira, published by Polytechnic Institute of Leiria
This work is licensed under the Creative Commons Attribution 4.0 License.