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  • 标题:Geographically and Temporally Weighted Regression (GTWR) for Modeling Economic Growth using R
  • 本地全文:下载
  • 作者:Miftahus Sholihin ; Agus Mohamad Soleh ; Anik Djuraidah
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2017
  • 卷号:6
  • 期号:6
  • 页码:800-805
  • 出版社:IJCSN publisher
  • 摘要:Economic growth is a main condition for the sustainability of regional economic development. Spatially, the highest economic growth in Indonesia is dominated by provinces in Java. However, the economic growth rate of Central Java Province is the lowest economic growth compared to other provinces. The Geographically and Temporally Weighted Regression (GTWR) method performed to model the economic growth of the Central Java Provincial districts by accommodating the influence of spatial-temporal heterogeneity. This modeling involves four explanatory variables e.g, number of labor force, local revenue, district minimum wage, and human development index with response variable gross regional domestic product. The results of the analysis showed that GTWR method has better coefficient determination (99.8%) with root mean squared error and Akaike's Information Criterion values of 0.84 and 1051.98. In general, HDI gives more influence to economic growth at each regency / city in Central Java during 2011-2015.
  • 关键词:Coefficient determination; Economic growth; GTWR; Spatial;temporal heterogeneity
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