旅游业和开放失业对巴厘岛经济增长的影响分析

Layla Fickri Amalia, Putu Gita Suari Miranti
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引用次数: 0

摘要

巴厘岛是印尼最受国内外游客欢迎的旅游目的地之一。由于许多游客来访,许多巴厘人都在旅游业寻找生计,如当导游,在酒店部门工作,烹饪,旅游等。在2019冠状病毒病大流行期间,旅游部门的许多工人失去了工作,增加了巴厘岛省的公开失业率。由于失业率高,人们的福利减少,从而影响巴厘岛省的经济增长。本研究旨在探讨旅游业与开放失业对峇里省经济成长的影响。本研究的独立变量为游客数量、酒店数量、旅行社数量和开放失业率。同时,使用的因变量为巴厘省的经济增长。使用的分析工具是Panel Data Regression,从检验中得到决定系数R2的值为65.80%,由此可见自变量对因变量的影响程度。研究结果表明,游客数量、餐馆数量、旅游旅行社数量和失业率同时影响经济增长。这可以从f统计量的probb值0.0000看出。同时,t检验结果表明,各自变量对因变量均有影响且显著。
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ANALYSIS OF THE EFFECT TOURISM SECTOR AND OPEN UNEMPLOYMENT ON ECONOMIC GROWTH IN BALI PROVINCE
Bali is one of the most popular tourist destinations by domestic and foreign tourists in Indonesia. Because many   tourists visit, many Balinese people are looking for a livelihood in the tourism sector such as being a tour guide, working in the  hospitality sector, culinary, tourist trips etc.  During the COVID-19 pandemic, many workers in the tourism sector lost their jobs, increasing  the open unemployment rate in  Bali Province.  With a high unemployment rate, people's welfare decreases so that it  can affect economic growth in   Bali Province. This study aims to see the Effect of the Tourism Sector and Open Unemployment on Economic  Growth in  Bali Province. The variables of the independent of this study are the number of  tourists visiting, the number of hotel, the  number of travel agencies and the open unemployment rate.  Meanwhile, the dependent variable used is the economic growth of Bali province. The analysis tool used is Panel Data Regression, from the test obtained the value of the coefficient of determination R2 of 65.80%, this shows the magnitude of the influence of independent variables on dependent variables. The results of the study concluded that simultaneously the number of tourists, the number of restaurants, the number of tourist travel agencies, and the unemployment rate influenced economic  growth. This is seen from the prob value of F-statistics of 0.0000. Meanwhile, the results of the t test show that the results are influential and significant for each independent variable against the dependent variable.
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