ANALISIS FAKTOR YANG MEMPENGARUHI KINERJA EKSPOR INDONESIA
Abstract Views: 8455 | PDF Downloads: 16044
Abstract
Price and gross domestic product are always use as variables to predict the Indonesian export performance, and it is assumpted that aggragate price and gross domestic product will change 30 to 70 percent it’s performance. This study will build new another assumption to predict the Indonesian export performance. This study use multiregression analysist, and found that Indonesia export tiedly dependent on ten major partners. They are Australia, China, france, germany, Japan, Korea Rep., Malaysia, Thailand, united Kingdom and united States. Indonesia export performance to those partners is influenced by fluctuation of their GDP per capita. This study also found that the Indonesia export performance for agricultural and industrial goods in general depend on fluctuation of comodity price, gdp per capita, and real exchange rate.
References
Abdurohman dan R. Zuladin (2002), “Performance Of Indonesia’s Key Non-Oil Export During The crisis: Value Vs Quantity Movement.” Kajian ekonomi dan Keuangan, Vol.6-No.4
Athukorala, P., and J. Riedel. 1991. “The Small country Assumption: A Reassessment with Evidence from Korea.” Weltwirtschaftliches Archiv 27:138-51.
Goldstein, M., & Khan, M. S. (1978). The Supply and Demand for Export: A Simultaneous Approach, Review of economics and Statistics, 60 (pp. 275-286). Amsterdam: Elsevier. Goldstein, M., & Khan, M. S. (1985). Income and Price Effects in Foreign Trade. In R. W. Jones, & P. B. Kennen, Handbook of International economics (pp. 1041-1105) . Amsterdam: Elsevier.
Narjoko and Raymond Atje. (2007) “Promoting Export: Some Lessons from Indonesian Manufacturing “, ARTNeT Working Paper Series, No. 32, February.
Riedel, J. 1988. “The Demand for LDc Exports of Manufacturers: Estimates from Hong Kong.” economic Journal 98:138–48.
Tambunan, Tulus T.H. (2001). Kinerja ekspor Manufaktur Indonesia. Kompartemen Industri Logam Dasar & Mesin dan LP3e, Kadin Indonesia, 2001
United Nations Statistical Division (UNSD), commodity Trade Database (cOMTRADE), available through World Bank’s World Integrated Trade Solution (WITS): www.wits.worldbank.org
Copyright (c) 2017 Buletin Ilmiah Litbang Perdagangan
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.