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All Journal Agro Bali: Agricultural Journal Jurnal Ekonomi dan Pembangunan Indonesia
Prawira, Gunawan
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance

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Determinan Ekspor Kopi Indonesia: Berpengaruhkah FTA? Putro, Fikri Aldi Dwi; Putri, Lovina Aresta; Prawira, Gunawan; Sahara, Sahara
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 24, No. 2
Publisher : UI Scholars Hub

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Abstract

Indonesia has initiated trade liberalization to boost the coffee export performance in the international market through trade agreements (FTA). However, Indonesian coffee export performance tends to decline. This study aims to analyze the effect of Indonesia’s FTA with its trading partners and other determinants of Indonesian coffee exports. This research employs a modified export approach gravity model with PPML estimation. The result shows that the FTA implementation generally can promote Indonesian coffee export, implying the export creation effect. Therefore, inward and outward-looking strategies are necessary to further boost the export creation effect on Indonesian coffee.
Technical Efficiency Level of Organic Coffee and Inorganic Coffee Farming in Cilengkrang District, Bandung Regency, Indonesia Prawira, Gunawan; Harianto, Harianto; Hadianto, Adi
Agro Bali : Agricultural Journal Vol 8, No 1 (2025)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/ab.v8i1.2007

Abstract

Cilengkrang District is a sub-district in West Java recognized for its potential contribution to Indonesia’s coffee productivity. However, the overall productivity of coffee farming remains relatively low due to inefficiencies in farming practices. The coffee grown in Cilengkrang consists of two types: organic and inorganic.  This research aims to analyze factors that influence coffee production and analyze the level of technical efficiency of coffee farming. The study was conducted in Cilengkrang District, Bandung Regency, chosen purposively for its significant potential to contribute to the region’s coffee productivity. The sample consisted of 34 organic farmers and 34 inorganic farmers. Data collection began in August 2023 and ended in December 2024. The Stochastic Frontier Analysis (SFA) method was used to evaluate farming efficiency. The results of the analysis show that the variables of land area, liquid organic fertilizer, urea fertilizer, and KCl fertilizer influence production. Then the variables of education level, number of family members, experience, and financing dummy influence increasing farming efficiency. The efficiency level of coffee farming is included in the inefficient category.
Co-Authors Adi Hadianto, Adi Harianto Harianto Putri, Lovina Aresta Putro, Fikri Aldi Dwi Sahara Sahara