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All Journal Journal of Agricultural Socio-Economics (JASE)
Haposan Orlando Napitupulu
Departement of Agribusiness, Faculty of Agriculture, University of Tribhuwana Tunggadewi, Malang
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance

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Integration of Indonesian coffee markets and world coffee markets Haposan Orlando Napitupulu; Ana Arifatus Sa’diyah; Farah Mutiara
Journal of Agricultural Socio-Economics (JASE) Vol 1, No 1 (2020): Journal of Agricultural Socio-Economics (JASE)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jase.v1i1.7153

Abstract

This study aims to analyze the integration of the Arabica and Robusta coffee markets in Indonesia and world coffee prices. The study uses secondary data in the form of annual time series data from 1985-2015. The study uses the VECM analysis method. This method explains the relationship between long-term dynamic and short-term equilibrium in a system of equations. The analysis shows that Indonesian and world Arabica coffee did not integrate into the long term or the short term. In Robusta coffee, VECM estimation shows that there is the significant at the 10% level in a long-term relationship with a value of 0.086. It means that there is a short-term relationship between world Robusta coffee prices and domestic Robusta coffee prices in the previous year, but no relationship in the long run.
Integration of Indonesian coffee markets and world coffee markets Haposan Orlando Napitupulu; Ana Arifatus Sa’diyah; Farah Mutiara
Journal of Agricultural Socio-Economics (JASE) Vol. 1 No. 1 (2020): Journal of Agricultural Socio-Economics (JASE)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jase.v1i1.7153

Abstract

This study aims to analyze the integration of the Arabica and Robusta coffee markets in Indonesia and world coffee prices. The study uses secondary data in the form of annual time series data from 1985-2015. The study uses the VECM analysis method. This method explains the relationship between long-term dynamic and short-term equilibrium in a system of equations. The analysis shows that Indonesian and world Arabica coffee did not integrate into the long term or the short term. In Robusta coffee, VECM estimation shows that there is the significant at the 10% level in a long-term relationship with a value of 0.086. It means that there is a short-term relationship between world Robusta coffee prices and domestic Robusta coffee prices in the previous year, but no relationship in the long run.
Co-Authors Farah Mutiara I Ketut Suada Sadiyah, Ana Arifatus