| Issue |
E3S Web Conf.
Volume 361, 2022
3rd International Conference on Agribusiness and Rural Development (IConARD 2022)
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 13 | |
| Section | Agricultural Economic | |
| DOI | https://doi.org/10.1051/e3sconf/202236102005 | |
| Published online | 29 November 2022 | |
Export Performance and Comparative Advantage of Indonesian Tropical Fruits
1 Universitas Jenderal Soedirman, Faculty of Agriculture, Purwokerto 53122, Indonesia
2 Indonesian Center for Agricultural Socio-Economics and Policy Studies, Bogor 16111, Indonesia
3 Universitas Perjuangan Tasikmalaya, Faculty of Agriculture, Tasikmalaya 46115, Indonesia
4 Universitas Lancang Kuning, Faculty of Agriculture, Pekanbaru 28265, Indonesia
* Corresponding author: syahrul.ganda@unsoed.ac.id
Competitiveness is the critical factor to withstand in global markets. The commodity without competitiveness will defeat by other products with high competitiveness. Indonesian fruits and derivatives must have competitiveness to hold on in global markets. This research aims to measure competitiveness and analyze export performance through tropical fruits and derivatives. Normalize Revealed Comparative Advantage (NRCA), and Export Product Dynamics (EPD) are used in this research to analyze competitiveness and export performance. This research also used a time series of data to analyze tropical fruits competitiveness and export performance. The result shows that Indonesia is strongly competitive in mango, mangosteen, and guava in China, Malaysia, and Singapore. Bananas have strong competitiveness in Malaysia and Singapore, while rambutan, snakefruit and tamarind have weak competitiveness in the five destination countries compared to competing countries. Competitiveness advantages through the EPD calculation shows that the position of Indonesia's tropical fruit exports is in the Falling Star and Retreat position.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.