Skip to main content
Have a personal or library account? Click to login
Tourism Sector: Evidence Of Business Dynamics in Portugal Cover

Figures & Tables

Table 1:

Competitiveness indicators

IndicatorFormulaAnalysis
FA (%)EquityBalance Sheet TotalFinancial autonomy measures the part of the assets of the company that is financed by the company‘s own capital.
ROA (%)ROA=Net ProfitTotal AssetsROA is the return of invested assets or profitability of assets, reflects firms‘ efficiency in utilizing total assets, holding constant firms‘ financing policy.
EBITDA (M€)EBITDA= Net profit + Interest + + Profit Taxes + Depreciation + + AmortizationEBITDA measures the company‘s earnings before interest, taxes, depreciation and amortization. It can be used to analyse and compare profitability between companies and industries because it eliminates the effects of financing and accounting decisions.
P (M€)--Current liabilities and long-term liabilities of the company. The obligations of the company in regard to others.
ROE (%)ROA=Net ProfitTotal EquityROE is the return of invested equity and profitability of own capital, i.e., represents returns to shareholders of common stocks.
TO (M€)--Business volume measures the firm‘s revenue.
NE--Number of people employed.

1 Source: Own elaboration

Figure 1:

Number of Companies in Portugal and in the Tourism and Hospitality sector

Source: Own elaboration based on Banco de Portugal (2023)

Table 2:

Dimension of the companies in Portugal and the Portuguese TH sector

YearMicro Companies %Small Companies %Medium Companies %Large Companies %
TotalTH sectorTotalTH sectorTotalTH sectorTotalTH sector
201188.1490.9410.058.021.550.910.260.14
201289.0691.629.257.421.450.840.240.13
201389.6191.848.757.181.410.850.240.13
201489.6791.748.707.281.390.850.240.13
201589.591.218.857.761.40.910.240.13
201689.390.729.018.211.440.930.250.14
201789.1690.459.098.371.491.040.260.14
201889.0490.19.198.751.511.010.260.14
201989.0890.249.158.581.491.040.270.13
202089.5591.488.777.581.440.830.250.11
202189.5691.568.727.551.460.80.260.1
202289.2790.58.938.41.520.980.280.12

1 Source: Own elaboration based on Banco de Portugal (2023)

Figure 2:

Tourism and Hospitality companies per subsegment of activity

Source: Own elaboration based on Banco de Portugal (2023)

Table 3:

Competitiveness indicators per subsegment

Indicator/Segment201120122013201420152016201720182019202020212022
FA (%)TH26.3224.1824.4125.2327.1027.7329.3829.7630.2424.727.4931.09
HR25.9721.720.4121.4123.6326.728.5630.6632.7729.8930.833.33
RCA25.4026.628.0426.5929.0428.429.2929.9929.9725.9726.6430.25
TL27.1427.1629.3730.3331.6329.1330.6928.1625.9214.720.9127.06
ROA (%)TH4.073.734.535.596.718.199.649.258.28-2.832.449.55
HR1.31-0.520.962.344.585.857.827.587.15-2.264.788.71
RCA3.093.063.723.974.575.886.816.997.38-2.453.19.68
TL10.510.1210.0610.6510.3312.413.2912.7510.51-4-2.5811.12
EBITDA (M€)TH721.4414.2701.7917.81,269.71687.92197.52275.82352.7-551.31927.53671.5
HR244.8-98.2185.2451905.71241.81781.71896.31993.3-6561592.83159.3
RCA108.7107129.9139.2159.4212.4276.2297338.6-110.4147511.2
TL12491304.21299.41,438.61,414.8171019311871.91685.3-624-417.22123.3
P (M€)TH18,251.719,101.119477.819,242.719,437.919899.62064521536.623441.725359.328547.929558
HR13,817.814,742.615302.715,126.815,099.51556316285.917359.418744.420307.823067.124177.2
RCA2,625.92,568.32514.22,576.72,476.62586.82870.12976.83214.23332.13479.13683.6
TL8,664.19,384.69124.29,410.29,366.19770.110068.610551.211876.213293.712773.113930.9
ROE (%)TH-7.72-11.26-6.92-3.371.616.5110.479.517.19-31.94-8.7312.51
HR-14.07-26.02-19.65-12.69-2.22.238.357.886.51-20.571.6412.05
RCA-10.54-9.94-5.26-3.21-1.872.485.85.316.66-24.76-5.5614.51
TL2.65.625.825.976.5413.5714.8213.838.86-78.57-41.4213.06
TO (M€)TH16,676.915,894.116,351.417,349.818,545.620,402.423,786.626069.428007.814642.418,898.132,982.1
HR7,145.96,288.76,5297,194.68,054.39,371.411,055.412036.413295.67580.59,915.416,775.6
RCA2,679.92,496.22,590.22,732.92,8653,121.23,630.93973.84314.61361.12,0224,584.8
TL6,851.17,109.37,232.17,422.27,626.37,909.89,100.210059.310397.55700.86,960.611,621.7
NETH25,5204243,375243,547250,795268,811288,756315,100338,174365,269338,702335,448384,196
HR19,3695182,156181,828187,479202,955219,711241,002258,804278,695256,692257,893298,565
RCA20,64919,94420,15520,49722,85324,41927,57630,58132,22529,90228,68932,586
TL40,85941,27541,56442,81943,00344,62646,52248,78954,34952,10848,86653,045

1 Source: Own elaboration based on Banco de Portugal (2023)

Table 4:

Proportion of Number of Employees (NE) and Turnover (TO) by the size of companies

YearMicro Companies %Small Companies %Medium Companies %Large Companies %
NETONETONETONETO
201140.2221.9728.2223.4515.6816.8215.8837.77
201241.2620.6827.8421.6515.1617.2115.7440.46
201340.820.5727.3121.815.616.8916.2940.75
201440.322127.4722.0715.8216.7516.3940.19
201539.2321.3528.2822.6816.2717.0216.2238.95
201638.1421.3729.1923.8316.3217.3416.3537.45
201736.9221.0529.2123.3417.3517.2616.5238.35
201835.8520.0530.4323.8217.1217.1316.638.54
201935.7021.4230.0123.1917.6918.0616.637.33
202039.2326.3329.7724.4315.6915.1315.3134.11
202139.5726.3830.4225.0715.7416.1114.2732.45
202236.1323.0831.4524.6717.1717.3915.2434.87

1 Source: Own elaboration based on Banco de Portugal (2023)

Table 5:

Companies‘ age gaps per number of companies, number of employees (NE) and turnover (TO)

YearUp tp 5 years %6-10 years %11-20 years %More than 20 years %
THNETOTHNETOTHNETOTHNETO
201132.6719.8612.1121.0517.8817.9920.3322.7720.9725.9439.4948.93
201233.7220.311.4215.3915.1514.4425.7625.5724.2125.1338.9849.93
201334.8921.0412.213.9812.3912.226.8628.3425.6924.2738.2249.91
201435.5721.5513.0214.9713.0112.8525.3127.3324.9824.1538.1149.15
201538.0323.4915.0814.2612.5512.723.9225.9523.2523.7938.0148.97
201640.625.6215.531311.149.3123.1425.825.8723.2637.4449.29
201743.3326.3715.7913.2912.4710.1121.0724.1424.2422.3137.0149.85
201846.1227.1315.6813.1413.2310.819.6222.8523.3421.1236.7850.18
201948.6727.1116.0313.2813.8310.9218.2622.7222.819.836.3450.25
202047.424.7516.3914.9615.6612.3617.420.8623.0620.2438.7448.19
202145.423.6616.0517.0217.113.7616.2219.7322.821.3639.5147.39
202245.6722.951418.118.2314.3213.7218.9118.7622.5139.9152.92

1 Source: Own elaboration based on Banco de Portugal (2023)

Table 6:

Related Samples, Friedman‘s Two-Way Analysis of Variance by ranks test results

IndicatorPairwise comparisonsP-valueSub-hypothesesSub-hypotheses validationConclusion
FAHR vs RCA
HR vs TL
RCA vs TL
SPSS indicates that the distribution of values in the subsegments is the same, forcing to retain the null hypothesis.H1ANot validated
ROAHR vs RCA
HR vs TL
RCA vs TL
0.683
0.008
0.025
H1BPartially validated
EBITDAHR vs RCA
HR vs TL
RCA vs TL
0.041
0.414
0.004
H1CPartially validated
PHR vs RCA
HR vs TL
RCA vs TL
0.000
0.014
0.043
H1DValidatedPartially validate H1
ROEHR vs RCA
HR vs TL
RCA vs TL
0.307
0.008
0.102
H1EPartially validated
TOHR vs RCA
HR vs TL
RCA vs TL
0.002
0.000
0.221
H1FPartially validated
NEHR vs RCA
HR vs TL
RCA vs TL
0.000
0.014
0.014
H1GValidated

1 Source: Own elaboration

DOI: https://doi.org/10.2478/ejthr-2024-0017 | Journal eISSN: 2182-4924 | Journal ISSN: 2182-4916
Language: English
Page range: 231 - 244
Submitted on: Feb 1, 2024
Accepted on: Jul 1, 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 Vânia Costa, Raquel Pereira, Isabel Sofia Loureiro, Sara Campinho, Andreia Moura, Maria do Rosário Mira, Goretti Silva, Susana Silva, published by Polytechnic Institute of Leiria
This work is licensed under the Creative Commons Attribution 4.0 License.