Intra-Industry Trading Factors and Patterns in Asean-5 Region

The large expansion of trade in the form of Intra-Industry Trade (IIT) in ASEAN is driving large volumes and variety of traded goods and is changing patterns of trade across members. This paper examines the factors affecting the level of IIT for ASEAN-5 countries (Indonesia, Malaysia, Philippines, S...

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Main Authors: Muryani, -, Anisa Dyan Pratiwi, -
Format: Article PeerReviewed
Language:English
Indonesian
English
Indonesian
Published: Cakra Studi Global Strategis (CSGS) Prodi HI FISIP Unair 2018
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Online Access:https://repository.unair.ac.id/95633/5/301_Karil_Muryani_Intra-Industry.pdf
https://repository.unair.ac.id/95633/6/301-PeerReview_Muryani.pdf
https://repository.unair.ac.id/95633/9/Muryani_similarity301_Intra-Industry.pdf
https://repository.unair.ac.id/95633/8/Muryani_Kesesuaian-Bid-Ilmu_301.pdf
https://repository.unair.ac.id/95633/
https://e-journal.unair.ac.id/JGS/article/view/8362
http://dx.doi.org/10.20473/jgs.12.2.2018.41-52
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spelling id-langga.956332022-10-21T05:58:23Z https://repository.unair.ac.id/95633/ Intra-Industry Trading Factors and Patterns in Asean-5 Region Muryani, - Anisa Dyan Pratiwi, - H Social Sciences HD Industries. Land use. Labor HD8039 By industry or trade The large expansion of trade in the form of Intra-Industry Trade (IIT) in ASEAN is driving large volumes and variety of traded goods and is changing patterns of trade across members. This paper examines the factors affecting the level of IIT for ASEAN-5 countries (Indonesia, Malaysia, Philippines, Singapore, and Thailand) in the period of 2004-2014. IIT is measured with Grubel-Lloyd index covering ten different one-digit SITC categories. The result indicates a large Intra-Industry Trade among ASEAN countries and across most manufacturing sectors. IIT Index is employed as a dependent variable, and four variables are used as independent variables: 1) different GDP per capita, 2) foreign direct investment (FDI), 3) trade openness, and 4) distance. Different GDP per capita and trade openness have a positive effect on IIT. FDI does not affect IIT, and distance has a negative effect on IIT across intra-ASEAN trade. Cakra Studi Global Strategis (CSGS) Prodi HI FISIP Unair 2018 Article PeerReviewed text en https://repository.unair.ac.id/95633/5/301_Karil_Muryani_Intra-Industry.pdf text id https://repository.unair.ac.id/95633/6/301-PeerReview_Muryani.pdf text en https://repository.unair.ac.id/95633/9/Muryani_similarity301_Intra-Industry.pdf text id https://repository.unair.ac.id/95633/8/Muryani_Kesesuaian-Bid-Ilmu_301.pdf Muryani, - and Anisa Dyan Pratiwi, - (2018) Intra-Industry Trading Factors and Patterns in Asean-5 Region. Jurnal Global & Strategis, 12 (2). pp. 41-52. ISSN 1907-9729 https://e-journal.unair.ac.id/JGS/article/view/8362 http://dx.doi.org/10.20473/jgs.12.2.2018.41-52
institution Universitas Airlangga
building Universitas Airlangga Library
continent Asia
country Indonesia
Indonesia
content_provider Universitas Airlangga Library
collection UNAIR Repository
language English
Indonesian
English
Indonesian
topic H Social Sciences
HD Industries. Land use. Labor
HD8039 By industry or trade
spellingShingle H Social Sciences
HD Industries. Land use. Labor
HD8039 By industry or trade
Muryani, -
Anisa Dyan Pratiwi, -
Intra-Industry Trading Factors and Patterns in Asean-5 Region
description The large expansion of trade in the form of Intra-Industry Trade (IIT) in ASEAN is driving large volumes and variety of traded goods and is changing patterns of trade across members. This paper examines the factors affecting the level of IIT for ASEAN-5 countries (Indonesia, Malaysia, Philippines, Singapore, and Thailand) in the period of 2004-2014. IIT is measured with Grubel-Lloyd index covering ten different one-digit SITC categories. The result indicates a large Intra-Industry Trade among ASEAN countries and across most manufacturing sectors. IIT Index is employed as a dependent variable, and four variables are used as independent variables: 1) different GDP per capita, 2) foreign direct investment (FDI), 3) trade openness, and 4) distance. Different GDP per capita and trade openness have a positive effect on IIT. FDI does not affect IIT, and distance has a negative effect on IIT across intra-ASEAN trade.
format Article
PeerReviewed
author Muryani, -
Anisa Dyan Pratiwi, -
author_facet Muryani, -
Anisa Dyan Pratiwi, -
author_sort Muryani, -
title Intra-Industry Trading Factors and Patterns in Asean-5 Region
title_short Intra-Industry Trading Factors and Patterns in Asean-5 Region
title_full Intra-Industry Trading Factors and Patterns in Asean-5 Region
title_fullStr Intra-Industry Trading Factors and Patterns in Asean-5 Region
title_full_unstemmed Intra-Industry Trading Factors and Patterns in Asean-5 Region
title_sort intra-industry trading factors and patterns in asean-5 region
publisher Cakra Studi Global Strategis (CSGS) Prodi HI FISIP Unair
publishDate 2018
url https://repository.unair.ac.id/95633/5/301_Karil_Muryani_Intra-Industry.pdf
https://repository.unair.ac.id/95633/6/301-PeerReview_Muryani.pdf
https://repository.unair.ac.id/95633/9/Muryani_similarity301_Intra-Industry.pdf
https://repository.unair.ac.id/95633/8/Muryani_Kesesuaian-Bid-Ilmu_301.pdf
https://repository.unair.ac.id/95633/
https://e-journal.unair.ac.id/JGS/article/view/8362
http://dx.doi.org/10.20473/jgs.12.2.2018.41-52
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