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Penggunaan Error Correction Mechanism dalam Analisis Pengaruh Investasi Langsung Luar Negeri Terhadap Pertumbuhan Ekonomi Indonesia fitri kartiasih; satria june adwendi
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 16, No 1 (2016)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v16i1.1767

Abstract

A developing country like Indonesia would require funds to increase their economic performance. The contribution of savings are not enough to finance national development. It is necessary to find other financial resources which is foreign direct investment. Error Correction Meccanism (ECM) is used to analyse the influence of foreign direct  investment and other interconnected sectors in open economy like domestic credit, government spending, and inflation to economic growth. The result shows that domestic credit, government spending, and inflation increase, but government spending and foreign direct investment tends to be fluctuating from 2000-2014. The research results also showed that economic growth in the long term is influenced by domestic credit and inflation, while in the short term are influenced by foreign direct investment and domestic credit.  
Aglomerasi Industri dan Pengaruhnya terhadap Pertumbuhan Ekonomi Jawa Barat 2010-2014 Annisa Kusumasari; Fitri Kartiasih
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 9 No 2 (2017): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (776.376 KB) | DOI: 10.34123/jurnalasks.v9i2.143

Abstract

Generally, economic growth of West Java has increased . However, the increase rates are different in each regions with one of the causes is the existence of economic concetration because of industrial agglomeration. This study analyze the phenomenon of industrial agglomeration and its effect to economic growth of West Java also the determinants of economic growth. Based on Cobb-Douglas function, fix effect model is used for spatial panel regression method that cover 26 regions in 5 years periods (2010-2014). Independent variables used are industrial agglomeration, infrastructure, human capital, capital, and labour with dependet variable is economic growth of West Java. The result shows that there are 8 regions that are agglomerated industrially. Meanwhile, human capital has the biggest elasticity. The characteristic of West Java’s economy is labour-intensive, with labour elasticity is higher than capital elasticity. Furthermore, infrastructure also has positive and significant influence to economic growth. In short, all of independent variables have positive and significant effect towards economic growth of West Java. Therefore, the enhancement of human quality and infrastructure must be improved so the economic growth can increase more.
DETERMINAN IMPOR SERAT KAPAS DI INDONESIA TAHUN 1975-2014 (PENDEKATAN ERROR CORRECTION MECHANISM) Nida'ul Hanifah; Fitri Kartiasih
MEDIA STATISTIKA Vol 11, No 2 (2018): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.285 KB) | DOI: 10.14710/medstat.11.2.119-134

Abstract

The activity of textile sector and textile product (TPT) in Indonesia keeps growing from year to year.TPTIndustry has become the main contributor of foreign exchange from non-oil and gas sector. Unfortunately, the domestic supply of cotton fiber, main material of textile product, can’t fulfill textile industry’s demand. It forces the nation to import the raw materials. Based on the problem about the import that still exist until the present, it is necessary to do a research to analyze the development of cotton fiber import in Indonesia and to identify the factors affecting the development of Indonesian cotton fiber imports during 1975-2014. This research uses descriptive analysis and inference analysis. The descriptive analysis method used in this research is graphical analysis, while the inference analysis is Error Correction Mechanism (ECM) method. Based on the estimation made with ECM, it was found that 5 variables significantly affect the cotton import volume in the long term, including: real per capita Gross Domectic Product (GDP), international cotton fiber prices, domestic cotton fiber production, the demand of cotton fiber by domestic yarn spinning industry and textile product exports volume. While in short term, only 4 variables significantly affect thecotton fiber import volume: domestic cotton fiber production,the demand of cotton fiber by domestic yarn spinning industry, real per capita GDP and textile product exports volume. Keywords: import, cotton fiber, Textile Industry and Textile Product (TPT),Error Correction Mechanism (ECM).
Co-Authors Annisa Kusumasari Nida'ul Hanifah satria june adwendi