Analisis Daya Saing Industri Manufaktur Jawa Timur: Sebuah Pendekatan Spasial

• Main Author: Rossanto Dwi Handoyo, -
• Format: Article PeerReviewed
• Language: Indonesian; Indonesian; English; English
• Published: LPPM Universitas Terbuka 2016
• Subjects: H Social Sciences; HD Industries. Land use. Labor; HD9720-9975 Manufacturing industries
• Online Access: https://repository.unair.ac.id/117679/1/30-Artikel_RossantoDH_Analisis-Daya-Saing.pdf; https://repository.unair.ac.id/117679/2/30-PeerReview_RossantoDH.pdf; https://repository.unair.ac.id/117679/4/RossantoDH_Similarity030_ANALISIS-DAYA-SAING.pdf; https://repository.unair.ac.id/117679/5/RossantoDH_KesesuaianBidangIlmu-30.pdf; https://repository.unair.ac.id/117679/; http://jurnal.ut.ac.id/index.php/jom/article/view/58; https://doi.org/10.33830/jom.v12i2.58.2016
• Institution: Universitas Airlangga

This research aims to identify the pre-eminent product based on comparative advantages and Location Quotion concept as well as spatial aspect. The analysis result confirm that spatial concentration of manufacture sector industry in East Java located in six region which is Kota Surabaya, Kota Kediri, Kabupaten Sidoarjo, Kabupaten Gresik, Kota Malang, and Kabupaten Pasuruan. This six region dominate manufacture industrial output in East Java about 85%. It means that the changing of supply and demand side in these regions will influence to the manufacture industrial performance in east Java as a whole. Manufacture industry in East Java is still dominated by food, beverages and tobacco industries (ISIC 31); textiles, shirt and skin (ISIC 32); wood based industry (ISIC 3.6), paper and print industry (ISIC 3.4) and transportation industry (ISIC 3.8). The analysis result using RTA index shows that East Java Province has export comparative advantages in lead and article thereof (HS 78), explosive; matches; pyrotechinic product (HS 36), cereals (HS 10), zinc and particles thereof (HS 79), tools, implements, cutlery, spoons (HS 82), dan dairy product (HS 04). The analysis on spatial association of output of East Java manufacture industry result several findings. The research results that there is positive spatial autocorrelation, in which high value region is surrounded by the high value regions, otherwise the low value region is surrounded by the low value regions. Spatial lag model also shows the importance of manufacturing industry output growth rate of neighboring regions. Spatial lag models show that the growth of the industrial output in the neighbour region plays an important role as determinant factor of industrial output in one region in the East Java Province.