Submitted:
25 September 2024
Posted:
26 September 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Research Objectives
- To analyze the evolution of Chile's nominal tourism GDP between 2013 and 2019.
- Identify and evaluate the contribution of the main Tourism Characteristic Activities (TCA) to tourism GDP.
- Examine annual variations in tourism GDP and its components to identify trends and growth patterns.
- Contextualize the growth of the tourism sector within the broader framework of the Chilean economy.
- To provide insights on the factors that have influenced the performance of the tourism sector during the period studied.
3. Literature Review
3.1. Measuring the Economic Impact of Tourism
3.2. Estimated Tourism GDP
3.3. Tourism Sector in Chile
3.4. Gaps in the Literature and Contribution of the Present Study
- Detailed analysis of the recent evolution of tourism GDP: Although there are studies that analyze the economic impact of tourism in Chile, few have focused specifically on the evolution of tourism GDP in recent years.
- Disaggregation by Tourism Characteristic Activities (TCA): Most previous studies have analyzed the tourism sector, without delving into the contribution of the different TCAs to tourism GDP.
- Contextualization within broader economic trends: There is a need to analyze the evolution of the tourism sector in the context of broader economic trends in Chile during the period 2013-2019.
- Critical evaluation of the estimation methodology: While SERNATUR's technical report provides a detailed methodology, there is room for a critical evaluation of this methodology in the context of international best practices.
4. Methodology and Data
- ▪
- Tourism expenditure surveys (SERNATUR, Subsecretary of Tourism)
- ▪
- Tourist movement statistics (SERNATUR, Subsecretary of Tourism)
- ▪
- National Accounts (Central Bank of Chile)
- ▪
- Price statistics CPI (National Institute of Statistics)
- 2013 marks the beginning of a new calculation methodology aligned with the Compilation of Reference (CoR) of the National Accounts prepared by the Central Bank of Chile.
- 2019 represents the last year before the global disruption caused by the COVID-19 pandemic, thus providing a comprehensive view of the sector's development in a period of relative stability and growth.
- Identification of Tourism Characteristic Activities (TCA): Some correspondence was established between the TCAs defined by the UNWTO and the economic activities used in Chile's National Accounts. This resulted in 12 main TCAs, including retail trade, accommodation services, food services, transportation, among others.
- Estimation of the Tourism Value Added (VAT): For each TCA, the Tourism Value Added (VAT) was estimated using the following formula:
- 3.
- Construction of the Tourism Vector: The tourism vector was constructed using information from tourism expenditure surveys, tourist movement statistics and other relevant data. This vector was updated annually to reflect changes in the structure of tourism expenditure.
- 4.
- Annual restatement: For years after 2013 (base year), a restatement method was used that considered both price and quantity effects:
- 5.
- Calculation of Tourism GDP: Tourism GDP was calculated as the sum of the VAT of all TCAs:
- 6.
- Estimated contribution of tourism to total GDP: This was calculated as the ratio of tourism GDP to total GDP of the economy:
5. Data Analysis
- Trend analysis: The evolution of nominal tourism GDP and its share in total GDP over the period 2013-2019 was examined.
- Compositional analysis: The contribution of each TCA to the total tourism GDP and how this composition changed over time was analyzed.
- Analysis of year-on-year changes: Year-on-year changes in tourism GDP and each TCA were calculated and analyzed.
- Impact analysis: The impact of each TCA on the annual variation of tourism GDP was calculated to identify the main drivers of growth or decline.
- The estimate is in nominal terms, which means that it reflects both real growth and price changes.
- The methodology depends largely on the accuracy of tourism expenditure surveys and other primary data sources.
- The annual update of the tourism vector may not fully capture structural changes in the pattern of tourism spending.
- The methodology does not capture the indirect and induced effects of tourism on the economy.
6. Main Findings

- ▪
- 2015 recorded the highest year-on-year growth with 17.3%.
- ▪
- 2016 also showed strong growth of 14.0%.
- ▪
- 2018 was the only year to record a contraction, with a decrease of 1.6%.

- ▪
- 2013: 3.1%
- ▪
- 2016: peaked at 3.6%.
- ▪
- 2019: maintained at 3.3%.

| ACT | VAT participation (%) |
|---|---|
| Administrative and support activities | 32.7% |
| Food services | 16.5% |
| Housing services | 10.5% |
| Land transportation support activities | 9.9% |
| Accommodation services | 9.3% |
| Air transportation | 6.9% |
| Other ACTs | 14.2% |
- Changes in the composition of tourism GDP:
- ▪
- Administrative and support activities increased their share from 26.5% in 2013 to 32.7% in 2019.
- ▪
- Food services also increased its share from 13.3% to 16.5%.
- ▪
- Air transport experienced a significant decrease from 17.9% in 2013 to 6.9% in 2019.

- Incidents in the annual variation
- ▪
-
In 2015, the year of highest growth, the main positive incidences were:
- ▪
- Air transportation: +4.05 pp
- ▪
- Administrative and support activities: +2.69 pp
- ▪
- Food services: +2.58 pp
- ▪
-
In 2019, the last year of the study:
- ▪
- Administrative and support activities: +5.91 pp
- ▪
- Food services: +0.05 pp
| ACT | Incidence (pp) |
|---|---|
| Administrative and support activities | +5.91 |
| Food services | +0.05 |
| Air transportation | -0.42 |
| Accommodation services | -0.43 |
| Other ACTs | -1.22 |
- Influential external factors
- Growth in 2015-2016 coincided with an increase in shopping tourism from Argentina, favored by foreign exchange conditions.
- The contraction in 2018 is associated with a 23% decrease in Argentine tourist arrivals, possibly due to the depreciation of the Argentine peso.
7. Results
- Sustained growth in the tourism sector
- Volatility in annual growth rates
- Structural changes in the composition of tourism GDP
- Growing importance of food services
- Impact of external factors
- Diversification of the tourism sector
- Contribution to economic growth
- Future growth potential
- Need for adaptive policies
8. Discussion
- Growth of the tourism sector and its economic contribution
- Volatility and sensitivity to external factors
- Structural changes in the composition of tourism GDP
- Growing importance of food services
- Resilience of the lodging sector
9. Implications for Tourism Policy
10. Conclusions
- Sustained growth and significant economic contribution: The tourism sector in Chile has experienced sustained growth during the study period, with total nominal tourism GDP increasing by 50.7% between 2013 and 2019. The contribution of tourism to the total GDP of the economy reached 3.3% in 2019, underscoring the growing importance of the sector as a driver of economic development. However, this share suggests that there is still significant potential for future growth in the sector.
- Volatility and sensitivity to external factors: The study revealed considerable volatility in annual tourism GDP growth rates, with a peak growth rate of 17.3% in 2015 and a contraction of 1.6% in 2018. This volatility reflects the sensitivity of the sector to external factors, particularly economic conditions in major tourist source markets. The strong influence of fluctuations on Argentine tourism underscores the need to diversify source markets to increase the resilience of the sector.
- Structural transformation of the sector: Significant changes were observed in the composition of tourism GDP during the study period. The increase in the share of administrative and support activities, and the decrease in the share of air transport, reflect broader transformations in the overall tourism industry. These changes suggest an adaptation of the Chilean tourism sector to technological trends and changing travel patterns.
- Emerging opportunities: The growth in the share of food services in tourism GDP indicates an opportunity to develop and promote gastronomic tourism in Chile. On the other hand, the relative stability in the share of accommodation services suggests a steady demand in this sub-sector, although it raises questions about capturing the impact of new forms of accommodation in the sharing economy.
- Implications for tourism policy: The results of the study have important implications for tourism policy formulation in Chile. These include the need for strategies to diversify source markets, develop innovative tourism products, encourage technological adaptation in the sector, implement sustainable tourism policies, and continuously improve methodologies for measuring the economic impact of tourism.
- Methodological challenges: The study has also highlighted methodological challenges in measuring the economic impact of tourism. The methodology used, based on the "origin or production method," provides a valuable approximation of tourism GDP, but may not fully capture all aspects of tourism's economic impact, particularly in a rapidly evolving digital environment.
- Overall positioning: Although growth in Chile's tourism sector has been significant, comparison with other tourism destinations suggests that there is still room for further development. Tourism's share of Chile's GDP (3.3% in 2019) is still lower than that of more mature tourism destinations, indicating future growth potential.
- Resilience and adaptability: Despite the observed volatility, the Chilean tourism sector has demonstrated resilience and adaptability. The diversification observed in the composition of tourism GDP suggests that the sector is evolving in response to changing market demands and global trends.
11. Future Lines of Research
- Analysis of the impact of the COVID-19 pandemic: A crucial area for future research will be the analysis of the impact of the COVID-19 pandemic on the Chilean tourism sector (Barra, 2021). This could include a comparative study of the sector's performance before, during and after the pandemic, as well as an evaluation of the recovery strategies implemented.
- In-depth study of tourism GDP volatility: A more detailed analysis of the factors influencing tourism GDP volatility is required. This could include an econometric study that examines the relationship between tourism GDP and variables such as exchange rates, economic conditions in major source markets, and global events that affect travel patterns.
- Regional comparative analysis: A comparative study of the performance of the Chilean tourism sector in relation to other Latin American countries could provide valuable insights into the relative strengths and weaknesses of the sector in Chile.
- Domestic Tourism Study: A more detailed analysis of domestic tourism in Chile, including its patterns, economic contribution and growth potential.
- Impact of tourism on regional development: Investigate how the growth of the tourism sector is affecting the economic development of different regions of Chile.
- Improving measurement methodologies: Explore ways to improve methodologies for measuring the economic impact of tourism, particularly in terms of capturing new forms of tourism and digital services.
References
- Barra Novoa, R. An appreciative theorizing approach to gazelle enterprises assisted by the Arica Business Center. Journal of Management & Business Studies 2022, 4, 1–19. [Google Scholar] [CrossRef]
- Barra Novoa, R. Nueva Economía en tiempos de crisis: Una aproximación teórica a la transformación tecnológica y social. Journal of Management & Business Studies 2021, 3, 1–13. [Google Scholar] [CrossRef]
- Barra Novoa, R. The new economy in times of crisis. International Journal of Business, Economics and Management 2021, 4, 149–156. [Google Scholar] [CrossRef]
- Bramwell, B.; Lane, B. Critical research on the governance of tourism and sustainability. Journal of Sustainable Tourism 2011, 19, 411–421. [Google Scholar] [CrossRef]
- Brida, J.G.; Cortes-Jimenez, I.; Pulina, M. Has the tourism-led growth hypothesis been validated? A literature review. Current Issues in Tourism 2014, 19, 394–430. [Google Scholar] [CrossRef]
- Buhalis, D.; Law, R. Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research. Tourism Management 2008, 29, 609–623. [Google Scholar] [CrossRef]
- Croes, R.; Ridderstaat, J.; van Niekerk, M. Connecting quality of life, tourism specialization, and economic growth in small island destinations: The case of Malta. Tourism Management 2018, 65, 212–223. [Google Scholar] [CrossRef]
- Dwyer, L., Forsyth, P., & Dwyer, W. (2009). Tourism economics and policy. Channel View Publications.
- Eugenio-Martin, J.L.; Campos-Soria, J.A. Economic crisis and tourism expenditure cutback decision. Annals of Tourism Research 2014, 44, 53–73. [Google Scholar] [CrossRef]
- Gardella, R.; Aguayo, E. Tourism demand and economic growth in Chile: A study based on panel data. Tourism Analysis 2018, 23, 387–396. [Google Scholar]
- Gretzel, U.; Sigala, M.; Xiang, Z.; Koo, C. Smart tourism: foundations and developments. Electronic Markets 2015, 25, 179–188. [Google Scholar] [CrossRef]
- Guttentag, D. Airbnb: disruptive innovation and the rise of an informal tourism accommodation sector. Current Issues in Tourism 2015, 18, 1192–1217. [Google Scholar] [CrossRef]
- International Air Transport Association (IATA). (2019). Annual Review 2019. Montreal, Canada: IATA.
- Instituto Costarricense de Turismo (ICT). (2020). Anuario Estadístico de Turismo 2019. San José, Costa Rica: ICT.
- Kivela, J.; Crotts, J.C. Tourism and gastronomy: Gastronomy's influence on how tourists experience a destination. Journal of Hospitality & Tourism Research 2006, 30, 354–377. [Google Scholar] [CrossRef]
- Okumus, B.; Okumus, F.; McKercher, B. Incorporating local and international cuisines in the marketing of tourism destinations: The cases of Hong Kong and Turkey. Tourism Management 2007, 28, 253–261. [Google Scholar] [CrossRef]
- Organización Mundial del Turismo (OMT). (2019). Panorama del turismo internacional, edición 2019. Madrid, España: OMT.
- Organización Mundial del Turismo (OMT). (2020). Barómetro OMT del Turismo Mundial y anexo estadístico, enero 2020. Madrid, España: OMT.
- Ritchie, J. R. B., & Crouch, G. I. (2003). The competitive destination: A sustainable tourism perspective. CABI Publishing.
- Servicio Nacional de Turismo (SERNATUR). (2013-2019). Anuario de Turismo. Santiago, Chile: SERNATUR.
- Subsecretaría de Turismo de Chile. (2013-2019). Informes de Turismo. Santiago, Chile: Ministerio de Economía, Fomento y Turismo.
- United Nations World Tourism Organization (UNWTO). (2017). Second Global Report on Gastronomy Tourism. Madrid, Spain: UNWTO.
- World Travel & Tourism Council (WTTC). (2020). Travel & Tourism Economic Impact 2020: Mexico. London, UK: WTTC.
- Zervas, G.; Proserpio, D.; Byers, J.W. The rise of the sharing economy: Estimating the impact of Airbnb on the hotel industry. Journal of Marketing Research 2017, 54, 687–705. [Google Scholar] [CrossRef]
- Archer, B.; Cooper, C.; Ruhanen, L. The positive and negative impacts of tourism. Global tourism 2005, 3, 79–102. [Google Scholar]
- Cárdenas-García, P.J.; Sánchez-Rivero, M.; Pulido-Fernández, J.I. Does tourism growth influence economic development? Journal of Travel Research 2015, 54, 206–221. [Google Scholar] [CrossRef]
- Dwyer, L.; Forsyth, P. Measuring the benefits and yield from foreign tourism. International Journal of Social Economics 1997, 24, 223–236. [Google Scholar] [CrossRef]
- Frechtling, D.C. The tourism satellite account: A primer. Annals of Tourism Research 2010, 37, 136–153. [Google Scholar] [CrossRef]
- Hall, C. M., & Williams, A. M. (2008). Tourism and innovation. Routledge.
- Ivanov, S.; Webster, C. Measuring the impact of tourism on economic growth. Tourism Economics 2007, 13, 379–388. [Google Scholar] [CrossRef]
- Khadaroo, J.; Seetanah, B. Transport infrastructure and tourism development. Annals of Tourism Research 2007, 34, 1021–1032. [Google Scholar] [CrossRef]
- Nunkoo, R.; Smith, S.L. Political economy of tourism: Trust in government actors, political support, and their determinants. Tourism Management 2013, 36, 120–132. [Google Scholar] [CrossRef]
- Pizam, A. A comprehensive approach to classifying acts of crime and violence at tourism destinations. Journal of Travel Research 1999, 38, 5–12. [Google Scholar] [CrossRef]
- Sinclair, M.T. Tourism and economic development: A survey. The Journal of Development Studies 1998, 34, 1–51. [Google Scholar] [CrossRef]
- Song, H.; Dwyer, L.; Li, G.; Cao, Z. Tourism economics research: A review and assessment. Annals of Tourism Research 2012, 39, 1653–1682. [Google Scholar] [CrossRef]
- Vanhove, N. (2005). The Economics of Tourism Destinations. Elsevier Butterworth-Heinemann.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).