> **来源：[研报客](https://pc.yanbaoke.cn)** # Summary of the Selected Issues Paper on Seychelles ## Core Content This document assesses the economic impact of **COVID-19 containment and closure policies** in **Seychelles**, a **Small Island Developing State (SID)** heavily reliant on **tourism**. The analysis is conducted using two econometric methods: the **synthetic control method** and **panel data regression**, comparing Seychelles with other similar economies like **Bahrain, Dominican Republic, and Mauritius**. The goal is to quantify the **economic loss** attributed to these policies and evaluate their effects on GDP, fiscal balances, and the external position. --- ## Main Points ### A. Introduction - The paper aims to quantify the impact of containment policies on Seychelles' economy. - Policymakers need to understand the effects of these measures to formulate optimal policies. - The study uses **synthetic control** and **panel data regression** to isolate the effect of containment policies from other external shocks. ### B. Evolution of and Response to the Pandemic - The **tourism sector** was the most affected due to international travel restrictions. - Seychelles implemented **travel restrictions** in **February 2020**, then a **nationwide lockdown** in **April 2020**. - The **lockdown** led to a significant **decline in economic activity**. - In **May 2020**, some restrictions were lifted, but **movement controls** remained in place. - The **Government** introduced various **support measures** for households and businesses, including salary payments, deferrals of taxes, and credit support. - **Vaccination efforts** were ambitious, with Seychelles reaching **70% vaccination coverage** by **March 2021**. - However, **new cases surged in May 2021**, leading to **tightened restrictions** and a **partial economic recovery** by **2021Q2**. ### C. Economic Impact of the Pandemic - **Tourist arrivals** dropped sharply, with a **recovery beginning in April 2021**. - **Tourism earnings** fell to **221.4 million USD in 2020**, compared to **625.0 million USD before the pandemic**. - The **current account deficit** widened to **25% of GDP in 2020**, partially offset by a **decline in goods trade deficit**. - **Real GDP** fell by **-7.7% in 2020** and **rebounded to 7.9% in 2021**. - **Fiscal deficits** increased in 2020 due to **higher expenditures** and **lower revenues**, but **recovered in 2021**. - **Total government debt** rose to **88.7% of GDP in 2020**, but **decreased to 76.8% in 2021**. ### D. Methodology and Data - The **synthetic control method** is used to estimate the effect of containment policies by constructing a **reference country** based on **Bahrain, Dominican Republic, and Mauritius**. - **Weights** are assigned to these countries to match **pre-pandemic GDP trends** of Seychelles. - **Panel data regression** is also used, which accounts for **country-specific fixed effects** and **common external shocks**. - The **Oxford Stringency Index** is employed to measure the **severity of containment policies**. - The analysis shows that **containment policies contributed to a GDP decline**, with a **cumulative output loss of 10% of pre-pandemic GDP** using the synthetic control method, and **9% using panel data**. ### E. Conclusion - Containment policies had a **significant negative impact** on economic activity in Seychelles. - The **cumulative GDP loss** is estimated at **9-10% of pre-pandemic levels**. - The **insular nature** of Seychelles makes it **vulnerable to external shocks**. - Future policies should consider the **economic costs** of prolonged containment measures, both **domestically and internationally**. --- ## Key Information - **Tourism** is the **main economic driver** in Seychelles. - **Containment policies** led to a **GDP decline of -7.7% in 2020** and **a rebound of 7.9% in 2021**. - The **current account deficit** reached **25% of GDP in 2020**. - The **Government** and **Central Bank** introduced various **support measures** to mitigate the impact. - **Vaccination** played a crucial role in **reopening the economy** by **March 2021**. - The **synthetic control method** and **panel data regression** both indicate that **containment policies caused a significant output loss**. - The **estimated cumulative GDP loss** is between **9% and 10%** of pre-pandemic levels. - **Fiscal balance** improved in **2021**, with the **primary deficit narrowing to 3% of GDP**. - **Exchange rate** **depreciated rapidly** in **2020**, but **recovered** in **2021** after border reopening. --- ## Figures and Tables Overview - **Figure 1**: Seychelles Stringency Index - **Figure 2**: Tourist Arrivals by Source Country - **Figure 3**: Evolution of the External Balance - **Figure 4**: Evolution of Goods and Services Export and Import - **Figure 5**: Evolution of Fiscal Expenditure - **Figure 6**: Overall Fiscal Balance - **Figure 7**: Revenue & Grants - **Figure 8**: Evolution of Exchange Rate - **Figure 9**: Real GDP and Stringency Index - **Figure 10**: Difference in GDP and Loss from Containment Policies - **Table 1**: Selected Economic Indicators (2020-21) - **Table 2**: COVID-19 Related Expenditures (2020-21) - **Table 3**: Data Sources and Variables --- ## Annex Highlights - The **synthetic control method** is used to estimate the effect of **containment policies** on **real GDP**. - The model assumes that **GDP is affected by containment policies** and **external shocks**. - The **weights** for the reference countries are **65% Bahrain**, **10% Dominican Republic**, and **25% Mauritius**. - The **panel data regression** provides **robustness checks** and confirms the **estimated GDP loss**. - The **Oxford Stringency Index** is used to measure **lockdown severity**. - The **results suggest** that **containment policies caused a measurable decline** in economic activity. --- ## References - Abadie, A., Diamond, A., & Hainmueller, J. (2010). *Synthetic control methods for comparative case studies*. - Caselli, F., Grigoli, F., Lian, W., & Sandri, D. (2020). *The great lockdown: dissecting the economic effects*. - Martín Fuentes N and I Moder (2020). *The scarring effects of past crises on...* (incomplete reference).