Rwanda Coffee Export Competitiveness (1990–2024): Time-series Insights into Production, World Prices, Exchange Rates, and Policy Drivers

Paul Ruhamya *

Department of International Business and Trade, African Leadership University, Kigali, Rwanda.

*Author to whom correspondence should be addressed.


Abstract

Background: Rwanda’s coffee export competitiveness faces shifting global demand toward specialty and sustainability alongside persistent production constraints and policy frictions.

Purpose: To reassess the determinants of Rwanda’s coffee export performance over 1990–2024 using updated secondary data and modern time series econometrics.

Methods: Annual series from NAEB, BNR, ICO, FAO, IMF, and the World Bank were compiled; a Johansen vector error correction model was estimated to separate long-run equilibria from short-run dynamics; robustness was verified with an ARDL bounds approach; and structural episodes were coded for post-1995 liberalization, the 2008–2009 global crisis, the 2015 zoning regime, and the 2020 pandemic.

Results: One cointegrating vector links export earnings with domestic production, world prices, the exchange rate, and global supply. Long-run elasticities indicate that a 1 percent increase in production raises export value by about 1.3 percent, world-price elasticity is near unity, exchange-rate depreciation has a modest positive effect, and world production exerts a negative pressure. The error-correction term implies roughly 40 percent annual adjustment toward equilibrium. Liberalization shifts levels upward, while the global crisis and the pandemic depress them; the post-2015 zoning effect is small and statistically weak. Comparative evidence from Uganda and Ethiopia suggests that volume expansion paired with competitive pricing mechanisms accelerates export growth.

Conclusions: Rwanda’s export performance is primarily driven by domestic supply capacity and international prices, with macro conditions and policy episodes shaping levels and adjustment.

Implications: A dual strategy is warranted that accelerates tree rejuvenation and yield gains while reforming pricing and market structures to align farmer incentives with export performance, alongside continued quality differentiation and prudent macro stability.

Keywords: Rwanda coffee exports, export competitiveness, vector error correction model, ARDL bounds test, domestic production, global coffee prices, policy episodes


How to Cite

Ruhamya, Paul. 2025. “Rwanda Coffee Export Competitiveness (1990–2024): Time-Series Insights into Production, World Prices, Exchange Rates, and Policy Drivers”. South Asian Journal of Social Studies and Economics 22 (9):79-102. https://doi.org/10.9734/sajsse/2025/v22i91141.

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