Government performance | Assess the performance of the government of Serbia in combating the epidemic from the following aspects (1 - very low; 7 - very high): | 0.848 | |
Timeliness of preventive measures | 5.15 | ||
Effectiveness of prevention measures | 5.06 | ||
A clear explanation to the general public | 5.67 | ||
Adequacy of the quarantine procedure | 5.42 | ||
Cooperation between Government Ministries | 4.66 | ||
Self-evaluation | State the level of reliability in the following stances (1: very unreliable -7: very reliable): | 0.983 | |
I will not be infected with COVID 19 | 3.15 | ||
My family members will not be infected with COVID 19 | 3.24 | ||
Negative assessments | To what extent do you agree with the following statements (1 - strongly disagree; 7 - strongly agree): | 0.885 | |
I am very worried that I will get infected with COVID 19 | 4.08 | ||
I am very concerned that my family members will become infected with COVID 19 | 4.12 | ||
I feel panic | 2.25 | ||
I feel depressed | 2.02 | ||
I am upset | 1.77 | ||
Observed efficiency of the government | How confident are you that the Government of Serbia has the ability to effectively recover the local tourism economy? (1: very unconfident - 7: very confident) | 4.73 | |
Predicted recovery period | What is the projected recovery period for local tourism? | 0.784 | |
June – July 2020 | 1.65 | ||
August – September 2020 | 2.24 | ||
October – December 2020 | 3.06 | ||
January – March 2021 | 4.52 | ||
Period after that | 5.56 |
Beograd | 10 | 5 | 5 | 20 |
Novi Sad | 6 | 4 | 2 | 12 |
Zrenjanin | 2 | 1 | 2 | 5 |
Jagodina | 1 | 1 | 0 | 2 |
Kragujevac | 3 | 3 | 1 | 7 |
Niš | 2 | 3 | 3 | 8 |
Vrnjačka Banja | 4 | 3 | 2 | 9 |
Kopaonik | 7 | 8 | 4 | 19 |
Golija | 0 | 2 | 0 | 2 |
Novi Pazar | 4 | 8 | 10 | 22 |
Sjenica | 1 | 0 | 3 | 4 |
40 | 38 | 32 | 110 |
January | 2014–2019 | y=3.8365x+36.194 | 19.18 | Positive |
2014–2020 | y=4.5554x+34.276 | 27.33 | Positive | |
February | 2014–2019 | y=6.0511x+28.169 | 30.26 | Positive |
2014–2020 | y=6.527x+26.9 | 39.16 | Positive | |
March | 2014–2019 | y=3.622x+27.698 | 18.11 | Positive |
2014–2020 | y=1.2039x+34.147 | 7.22 | Positive | |
April | 2014–2019 | y=4.5826x+28.279 | 22.91 | Positive |
2014–2020 | y=−1.8393x+45.404 | −11.04 | Negative | |
May | 2014–2019 | y=6.7996x+31.068 | 34.0 | Positive |
2014–2020 | y=−0.8061x+51.35 | −4.84 | Negative |
January | 2014–2019 | y=0.8408x+18.573 | 4.20 | Positive |
2014–2020 | y=1.5188x+16.765 | 9.11 | Positive | |
February | 2014–2019 | y=2.3793x+10.992 | 11.90 | Positive |
2014–2020 | y=3.1641x+8.8986 | 18.98 | Positive | |
March | 2014–2019 | y=2.635x+18.627 | 13.18 | Positive |
2014–2020 | y=0.5776x+24.114 | 3.47 | Positive | |
April | 2014–2019 | y=4.0649x+23.827 | 20.32 | Positive |
2014–2020 | y=−1.4384x+38.503 | −8.63 | Negative | |
May | 2014–2019 | y=6.2234x+27.328 | 31.12 | Positive |
2014–2020 | y=0.6737x+42.127 | 4.04 | Positive |
Gender | ||
Male | 58 | 52.7 |
Female | 52 | 47.3 |
Age | ||
18–39 | 61 | 55.5 |
40–59 | 45 | 40.9 |
over 60 | 4 | 3.6 |
Education | ||
Primary school (8 years) | 2 | 1.8 |
Secondary (3 years) | 5 | 4.5 |
Secondary (4 years) | 32 | 29.1 |
College (2 years) | 17 | 15.5 |
College (3 years) | 15 | 13.6 |
University (4 years) | 10 | 9.1 |
Master’s degree (5 years) | 29 | 26.4 |
Doctorate degree | 0 | 0 |