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Key Insights

• Tourism's Pre-Pandemic Significance: Before COVID-19, tourism was a vital sector for the EAC economies, contributing significantly to GDP, export earnings, and employment, with a consistent upward trend in tourist arrivals.
• COVID-19's Disruptive Impact: The onset of the COVID-19 pandemic severely disrupted the EAC tourism sector, necessitating a study to understand its specific effects on key components like airline companies.
• Strategic Sampling for Accurate Assessment: To effectively assess the impact on airline companies, a mixed-methods approach combining both probability and non-probability sampling techniques, with a carefully determined sample size, is crucial for gathering representative and in-depth data.

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Tourism plays a pivotal role in the economies of the East African Community (EAC) Partner States. Prior to the COVID-19 pandemic, the sector demonstrated robust growth, with a significant increase in tourist arrivals and substantial contributions to GDP, export earnings, and employment across the region. This upward trend, however, faced an unprecedented disruption with the global outbreak of COVID-19 in early 2020. The pandemic led to widespread travel restrictions, reduced demand, and significant operational challenges for businesses across the tourism value chain, including airline companies. As a researcher appointed by the EAC Secretariat to assess the impact of COVID-19 on the EAC tourism industry, with a specific focus on airline companies, a well-defined sampling strategy is essential to gather accurate and relevant data.

Understanding the Research Context

The study aims to quantify and qualify the impact of the COVID-19 pandemic on airline companies operating within the EAC region. This requires collecting data on various aspects of their operations, including passenger traffic, revenue, employment, operational costs, and the strategies adopted to mitigate the effects of the pandemic. Given the diverse nature of airline companies in the region, ranging from large national carriers to smaller charter and domestic operators, the sampling strategy must be carefully designed to capture this variability and ensure the findings are representative of the EAC airline industry.

Significance of the Aviation Sector in EAC Tourism

Air transportation is a critical component of the tourism ecosystem in the EAC. It facilitates the movement of international tourists to and within the region, connects various destinations, and supports related services such as cargo transport. The health and performance of airline companies are intrinsically linked to the vitality of the tourism sector. Therefore, understanding the impact of a major shock like COVID-19 on these companies provides crucial insights into the overall resilience and recovery of EAC tourism.

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Identifying Samples: Sampling Techniques

To effectively assess the impact of COVID-19 on EAC airline companies, a combination of sampling techniques will be employed to ensure both representativeness and the ability to gather in-depth information. Given the objectives of the study and the nature of the population (airline companies), a mixed-methods approach incorporating both probability and non-probability sampling is most appropriate.

Probability Sampling Techniques

Probability sampling techniques are crucial for ensuring that the sample is representative of the target population, allowing for the generalization of findings to the entire group of airline companies operating in the EAC. The most suitable probability sampling technique for this study is Stratified Random Sampling.

Stratified Random Sampling

Stratified random sampling involves dividing the population of airline companies into homogeneous subgroups, or strata, based on relevant characteristics. In the context of EAC airline companies, relevant strata could include:

• Type of airline: National carriers, regional airlines, charter airlines, cargo airlines.
• Size of operations: Based on fleet size, number of routes, or passenger capacity.
• Primary operational focus: Passenger transport, cargo transport, or a mix.
• Geographic scope: Operating primarily within the EAC, or having significant international routes connecting to the EAC.

Once the strata are defined, a random sample of airline companies will be selected from each stratum. This ensures that each subgroup is adequately represented in the sample, reflecting the diversity within the EAC airline industry. The proportion of companies sampled from each stratum can be proportional to their size in the overall population or adjusted based on the research objectives.

Non-Probability Sampling Techniques

While probability sampling provides representativeness, non-probability sampling techniques can be valuable for gathering in-depth qualitative data and insights from key informants within the airline industry. Judgmental or Purposive Sampling would be a suitable non-probability technique for this study.

Judgmental or Purposive Sampling

This technique involves the deliberate selection of specific airline companies or individuals within those companies based on the researcher's judgment and the study's objectives. This could include selecting:

• Major airline companies that significantly contribute to tourism traffic in the region.
• Companies that represent different business models or operational structures.
• Key personnel within these companies who have direct knowledge of the impact of COVID-19, such as senior management, operational managers, or finance officers.

Purposive sampling allows for focused data collection from those best positioned to provide detailed and nuanced information about the challenges faced and strategies implemented during the pandemic. While the findings from purposive sampling cannot be generalized to the entire population, they offer valuable qualitative depth that complements the quantitative data obtained through probability sampling.

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Determining Sample Size

Determining the appropriate sample size is crucial for the validity and reliability of the study findings. The sample size for this study will be determined considering several factors, including the total number of airline companies operating in the EAC, the desired level of precision and confidence in the results, the variability within the population, and the resources available for data collection.

Factors Influencing Sample Size

Several factors need to be considered when determining the sample size:

• Population Size: The total number of airline companies operating in the EAC region. While a complete census might be ideal, it is often not feasible.
• Variability: The extent to which the characteristics of interest (e.g., impact of COVID-19) vary among airline companies. Higher variability requires a larger sample size.
• Confidence Level: The desired level of confidence that the sample results accurately reflect the population. Commonly used confidence levels are 90%, 95%, or 99%.
• Margin of Error: The acceptable difference between the sample results and the true population values. A smaller margin of error requires a larger sample size.
• Resources: The available budget, time, and personnel for data collection and analysis. These practical constraints can influence the feasible sample size.
• Sampling Technique: The chosen sampling technique also influences sample size considerations. Stratified sampling, for instance, requires determining sample sizes for each stratum.

Calculating Sample Size for Stratified Random Sampling

For the stratified random sampling component, the sample size for each stratum will be determined. A common approach is proportional allocation, where the sample size for each stratum is proportional to the stratum's size relative to the total population. The formula for proportional allocation is:

\[ n_h = \frac{N_h}{N} \times n \]

Where:

• \(n_h\) is the sample size for stratum \(h\).
• \(N_h\) is the population size of stratum \(h\).
• \(N\) is the total population size.
• \(n\) is the total sample size.

The total sample size \(n\) can be determined using standard sample size formulas for estimating population parameters, considering the desired confidence level and margin of error. For example, when estimating a population proportion, the formula might be:

\[ n = \frac{Z^2 \times p \times (1-p)}{E^2} \]

Where:

• \(Z\) is the Z-score corresponding to the desired confidence level.
• \(p\) is the estimated proportion of the characteristic in the population (if unknown, 0.5 is often used for a conservative estimate).
• \(E\) is the desired margin of error.

Adjustments may be made for finite populations if the sample size is a significant proportion of the population size.

Sample Size for Purposive Sampling

For the purposive sampling component, the sample size is not determined statistically but rather based on the saturation of themes and information. Data collection continues until no new significant insights or perspectives are emerging from the interviews or data sources. The goal is to gather rich, in-depth information rather than statistically representative data.

Combining Approaches

The total sample for the study will comprise the samples selected through both stratified random sampling and purposive sampling. The quantitative data from the stratified sample will provide a broader understanding of the impact across different types and sizes of airline companies, while the qualitative data from the purposive sample will offer deeper insights into the specific challenges, coping mechanisms, and perspectives of key players in the industry.

Data Collection Methods

To gather the necessary data from the identified samples, a combination of data collection methods will be employed. These may include:

• Surveys and Questionnaires: Administered to a larger sample of airline companies (selected through stratified random sampling) to collect quantitative data on operational metrics, financial performance, and employment trends.
• Interviews: Conducted with key personnel from selected airline companies (selected through purposive sampling) to gather qualitative data on the challenges faced, strategies implemented, and future outlook.
• Secondary Data Analysis: Utilizing existing data from sources such as airline annual reports, industry publications, and reports from aviation regulatory bodies to complement the primary data collection.

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Expected Challenges and Mitigation Strategies

Conducting research on the impact of COVID-19 on airline companies in the EAC may present certain challenges. These could include:

• Data Availability and Accessibility: Some airline companies may be hesitant to share sensitive financial or operational data.
• Variability in Data Reporting: Different companies may have different methods of data collection and reporting.
• Reaching all Sampled Companies: Difficulties in contacting and obtaining responses from all selected companies, especially smaller operators.
• Dynamic Nature of the Situation: The ongoing evolution of the pandemic and recovery efforts may make it challenging to capture a static picture of the impact.

To mitigate these challenges, the following strategies will be employed:

• Building rapport and trust with airline companies to encourage data sharing.
• Using a combination of data sources (primary and secondary) to triangulate findings.
• Employing flexible data collection methods, including online surveys, phone interviews, and in-person visits where feasible.
• Clearly communicating the purpose and benefits of the study to participating companies.
• Focusing on collecting data for specific time periods to capture the impact during different phases of the pandemic.

Ethical Considerations

Ensuring ethical conduct throughout the research process is paramount. This includes obtaining informed consent from all participants, protecting the anonymity and confidentiality of the data collected, and using the data solely for the stated research objectives. Ethical approval will be sought from the relevant institutional review boards if required.

Integration with EAC Tourism Initiatives

The findings of this study will be integrated with ongoing EAC initiatives aimed at promoting and developing the tourism sector. The EAC Secretariat is actively involved in various activities, including developing a regional tourism marketing strategy, enhancing tourism infrastructure, and promoting intra-regional tourism through initiatives like the Tembea Nyumbani campaign. The insights gained from assessing the impact of COVID-19 on airline companies will inform policy recommendations and strategies to support the recovery and future resilience of the EAC tourism and aviation sectors.

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FAQ

Why is a mixed-methods approach used for sampling?

A mixed-methods approach combining stratified random sampling and purposive sampling is used to leverage the strengths of both techniques. Stratified random sampling ensures the sample is statistically representative of the diverse EAC airline industry, allowing for generalization of quantitative findings. Purposive sampling enables the collection of in-depth qualitative data from key stakeholders, providing richer insights into the complex impacts of the pandemic.

How will the sample size for each stratum be determined?

The sample size for each stratum in the stratified random sampling will be determined using proportional allocation, where the number of companies sampled from each stratum is proportional to its size in the total population of EAC airline companies. This ensures that each category of airline (e.g., national carriers, charter airlines) is represented appropriately in the sample.

What kind of data will be collected from the sampled airline companies?

Data collection will include both quantitative and qualitative data. Quantitative data will cover operational metrics such as passenger numbers, revenue, and employment figures, likely collected through surveys. Qualitative data will focus on challenges faced, mitigation strategies, and future perspectives, gathered through interviews with key personnel.

How will the findings of this study be used?

The findings will inform the EAC Secretariat and Partner States on the specific impacts of the COVID-19 pandemic on the airline sector within the EAC tourism industry. This information will be used to develop targeted policies, strategies, and support programs to aid the recovery and enhance the resilience of the sector.

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References