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Tourism influence on economy: Analysis of associated assessment of associated visitors

Research output: Contribution to journalArticlepeer-review

Abstract

Using GDP as a proxy for economic growth, the number of tourist visits, the Consumer Price Index, the Consumer Price Index, and the monthly period of exchange for 2007-2016. This study uses secondary data with the Error Correction Model (ECM) regression method with short and long-term calculations. The variable number of tourist visits had an effect on GDP in the continents of Asia, Europe, Middle East and Oceania while in the long run in all continents except America. The exchange rate variable in the short term has a negative effect on GDP in the American Continent and the Middle East, while in the long run, the exchange rate variable has a positive effect on GDP in the ASEAN continent and Europe. The CPI variable only has a positive effect on GDP in the long run for all continents except America. So that it can be concluded that not all have a positive impact on GDP, which is the American continent, so it should be stressed that the cost of developing the tourism sector in America should developing a tourism sector in America more than proportionally or diverted to continents of Asia, ASEAN, Oceania, Europe and the Middle East. be allocated more proportionally or diverted to continents of Asia, ASEAN, Oceania, Europe and the Middle East.

Original languageEnglish
Pages (from-to)50-57
Number of pages8
JournalInternational Journal of Scientific and Technology Research
Volume8
Issue number2
Publication statusPublished - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • Error correction model
  • GDP
  • Tourism

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