Economic Indicator Evaluation Based on Shape Deformation Analysis of Indonesian Provinces Statistics

Catur Apriono, Riti Fitri Sari, Yuriko Yano and Yukari Shirota

Gakushuin Economic Papers, 2017, vol. 54, issue 3, 185-206

Abstract: This paper presents our work on analyzing provincial economic differences in Indonesia based on economic indicators. The data were obtained from the official website of Indonesian Central Bureau of Statistics (Badan Pusat Statistik Indonesia) that is responsible for conducting national statistical survey, and is a non-departmental government institute which directly report to the president. In this paper, we studied the provinces Gross Domestic Product (GDP) percentage, the average monthly expenditure per capita for food, the electricity distribution per province, and the distribution of cleaned water. We conduct the statistical analysis to data of 33 provinces in a time series from the year 2007 to 2015. We performed the deformation analysis to indicate the local economics movement/changes. The analysis of GDP percentage in 2000 to 2013 shows that the economic distribution tends to be from Java Island to other provinces. This analysis indicates the emerging regional economy which is happening in provinces located outside the Java Island. Our shape analysis of the deformation data of the average monthly food expenditure and GDP percentage shows that the higher expenditure group of provinces tends to move down and the lower expenditure group of provinces tends to move up. Therefore, the trend is that the food expenditure and GDP becomes closer to the average value in all provinces in Indonesia. For electricity distribution per province and the GDP percentage, the deformation analysis shows that there are almost no significant changes in all provinces. From clean water and the GDP percentage, the deformation shows that the Jakarta data tends to move down insignificantly, although almost all other provinces analysis move up. These results indicate that economic emergence happened in various provinces.

Date: 2017
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