In this section, the problem statement and purpose of the study are presented. Likewise, the research design and data collection are described, introducing the target population. Finally, the data analysis is briefly discussed.
2.1. Problem Statement
Like many other areas around the globe, Greece is plagued by various dangers (
Diakakis et al. 2020). Various factors may produce dangers, which can be classified into two types: natural threats and human-made threats. However, we may debate the main cause of natural character threats and conclude that humans are to be blamed. However, this is a subject for a separate study. These risks may result in catastrophes if they are not properly handled, if no preventative measures are taken, and if no action is taken after the threat has appeared (
World Health Organization 2019). As a result, it is critical to determine the best approach to combat these dangers and, if at all possible, avoid catastrophes or minimize them (
Department for International Development 2017).
Removing the key driver of community development from the DRR equation, thereby increasing the gap between national and local action to the detriment of community resilience, is equivalent to removing the key driver of community development from the DRR equation.
Farahani et al. (
2020) indicated that countries that normally suffer from earthquakes tend to face different geotechnical seismic hazards that can be devastating in various ways. This could also apply to Greece in cities such as Kozani. Education and the school system are the focal points for community socioeconomic development (
Papaevangelou 2021). Failure to prioritize them in disaster risk reduction slows community resilience to disasters, which is a concern. Schools are the best places to create communal forums in a community, and disaster risk reduction is one of the most important principles that schools must spread by establishing schools as modes and loci of participatory risk reduction in communities (
Mutsau and Billiat 2015). Schools and education systems must be a focal point for disaster risk reduction to enhance Greece’s disaster resilience.
In 2020, the total number of educational staff of the Kozani regional unit was 1169 teachers. The sample size was determined after calculating the accuracy (±km 7.32) and the level of reliability of the survey (
P = 99.7%). The variance of the distance of the educational unit in which they work and in the permanent residence of the teachers, S
2 = 304.53, and the standard deviation, s = 17.45, were determined with a preliminary sample (or pilot sampling) of 50 teachers. The value of z depends on the level of reliability (P) required. When applying the sample size determination, it is typical to take a value of z = 3, which corresponds to a level of reliability
P = 99.7%. According to Equation (1) and using our numbers—N = 1169, s = 17.45, z = 3, and d = 3.99 (the required accuracy d was subjectively determined and expresses half the confidence interval)—it was estimated that the minimum sample of respondents should be 149.38, or 150 people (
Kalfas et al. 2013,
2020,
2022).
Calculation of the minimum sample of respondents.
2.2. Purpose of the Study
The project’s main goal was to evaluate the concept of leveraging educational systems as a center for risk and catastrophe management, using Greece as a case study. The research also focused on a number of specific goals, including:
Consequently, the research questions that arise can be summarized as follows:
For this purpose, the research hypothesis can be formulated as below:
Hypothesis 1 (H1). School curriculum has a positive effect on disaster risk management in schools.
Hypothesis 2 (H2). Civil protection knowledge acquisition has a positive effect on disaster risk management in schools.
Therefore, the significance of study’s findings is attributed to provision of key insights into the importance of school systems in enchaining disaster risk management. In this case, new knowledge will be generated about concepts of civil protection, school systems, and their role in disaster risk management.
2.3. Research Design, Target Population, and Data Collection
The study used a quantitative approach and a descriptive research design. Descriptive research is an inquiry in which quantitative data is gathered and evaluated to characterize a particular phenomenon in terms of current trends, current occurrences, and current connections between various variables. The descriptive research design was used because it enabled the researcher to generalize the findings to a larger population of teachers in the city of Kozani. Specifically, Kozani is a small-sized city located in northern Greece, and one of the four regional units of the region of Western Macedonia (
Figure 3) (
Kalfas et al. 2022). The other three cities are Florina, Kastoria, and Grevena. Based on data from 2011 census, the Municipality of Kozani geographically extends 366,018 square kilometres in the West Macedonia region of northern Greece, and has a population of 71,388 inhabitants (
ELSTAT 2022). The geographical distance of Kozani from the capital of Greece, Athens, is approximately 470 km. In addition, Kozani is approximately 120 km from Thessaloniki, the second largest city of the country. Kozani has faced natural hazards and disasters due to extreme weather phenomena and earthquakes, such as the earthquake of 6.6 on the Richter scale recorded on 13 May 1995 (Stavros
Kalogiannidis et al. 2022a). In terms of potential risk exposure, there is are local vulnerabilities, specifically industrial and technological accidents, as a result of the dominant position that Kozani has the largest lignite power station and installations in Greece (Stavros
Kalogiannidis et al. 2022a).
Regarding educational activity and facilities, Kozani is a university city as it is the seat of the University of Western Macedonia. The University of Western Macedonia was founded in 2003 and includes seven schools with twenty-two departments. The University operates in the five cities of Kozani, Florina, Kastoria, Ptolemaida, and Grevena, with 8661 current students and 193 academic staff (as of August 2021). Concretely, in the city of Kozani, the School of Economic Sciences operates with seven departments. In addition, Kozani is home to two of the five departments of Polytechnic-Engineering School. Moreover, the main campus is located in Kozani, featuring infrastructure, such as administrative services, teaching staff offices, classrooms, laboratories, library, students’ residences and restaurants, and the university gymnasium (
www.uowm.gr (access on 7 February 2022)). Finally, despite income decreases that ensued from economic crisis in Greece (
Chatzitheodoridis et al. 2017), Kozani remains a potential pole of development as it is a competitive destination of tourists, investment, and the exploitation of cultural heritage (S.
Kalogiannidis et al. 2022c). As mentioned by
Chatzitheodoridis et al. (
2013), even in periods of severe economic crisis, the only pathway to endogenous socio-economic growth of rural areas in Greece is achieved through the adoption of policy measures by stimulating the advantages of local factors, such as local resources, as well as specificities of the social and human behavior of the local population.
Regarding data collection, the study utilized an online questionnaire, one of the easiest and most used data gathering techniques. This is because it is less expensive, covers a large number of respondents in a short period of time, and allows respondents to freely answer sensitive topics without fear of judgment or rejection from the researcher. In order to gather insight into using school systems as a locus for risk and catastrophe management in Greece, an online survey questionnaire was deployed.
Concretely, the study targeted the different active teachers in Kozani. The population was selected to establish the most appropriate sample for the study. For this purpose, the study utilized a sample of 150 study participants who were all active teachers from Kozani. In terms of the sampling technique, the study employed stratified and simple random sample methods, both of which fall under probability sampling approaches. In this case, stratified sampling was used to arrive at the goal sample, and the final sample was extracted from the strata using a basic random sampling method. Simple random sampling produces samples that are highly representative of the population. However, it can be tedious and time-consuming, especially when working with large samples.
Finally, respecting the ethical considerations, the researcher ensured that informed consent was obtained to confirm the willingness of teachers to participate in the study. This was in addition to maintaining a high degree of secrecy and privacy while working with respondents’ data. The respondents were given the freedom to answer questions based on their interpretation of the different opinion questions. This helped in obtaining broad answers to certain questions.
2.4. Data Analysis
The quantitative data were coded and then transferred to SPSS for analysis. Tables were used to display the findings, and frequencies and percentages were used to interpret them. The total predictive power of the various independent factors on the study’s dependent variable was determined using regression analysis. In this instance, calculating various predictive values required the use of a multiple regression model, as shown in Equation (2).
where
= disaster risk management,
= constant (coefficient of intercept),
X1 = school curriculum,
X2 = knowledge acquisition,
= the error term in the multiple regression model, and
= the regression coefficient of the two independent variables.
The error term in this research study was based on the assumption that there was an absence of autocorrelation. The hypotheses of the study were tested at the 5% (0.05) level of significance.