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  Applied Spatial Durbin Model to Assess Factors Influencing the Number of Foreign Tourists in Indonesia 2011-2015  
  Authors : Dini Arifatin; Anik Djuraidah; Utami Dyah Syafitri
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Most of the study of the number of foreign tourists in Indonesia base on their origin country, have only focused on panel data analysis. It could be misleading because there may be a spatial influence among the original country. This study analyzed some factors that could affect the number of tourists who came to Indonesia for 2011-2015. The Spatial Durbin Model (SDM) was used in this study. Two types of proximity matrices were used i.e. contiguity matrix and inverse distance matrix. The results showed that the best model was the SDM model with contiguity matrix. The factors which significantly affected the number of tourists were GDP per capita, number of population, and existing the direct flight to Indonesia.


Published In : IJCSN Journal Volume 7, Issue 1

Date of Publication : February 2018

Pages : 01-06

Figures :02

Tables : 03


Dini Arifatin : master student in Department of Statistics, Bogor Agricultural University, Indonesia. Her main interest is on spatial analysis.

Dr. A. Djuraidah : Currently worked as a lecture in Department of Statistics, Bogor Agricultural University. Her main interests are on spatial analysis and statistical probability theory.

Dr. Utami Dyah Syafitri : Currently worked as a lecture in Department of Statistics, Bogor Agricultural University. Her main interest is in Experimental Design, Chemometric and Metabolomics.


spatial durbin model, spatial panel data, Indonesia, contiguity matrix, foreign tourists, tourism

Data modeling of foreign tourists in Indonesia by country 2011-2015 with SDM fixed effect using a region based spatial weighting matrix was the best model. The factors that influenced the SDM model directly and indirectly were GDP per capita, population, BVKS factor and direct flight factor.


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