Flagship Research
The State of Bangladesh Trade
Structure, Risk, and Strategy
BDPolicy Lab · 2026-03-30
Executive Summary
A Trade Giant with Fragile Foundations
Bangladesh has emerged as one of the great trade success stories of the developing world. From just $4.7 billion in exports in 1995, the country has grown into a $58.8 billion exporter by 2024, propelled almost entirely by the ready-made garments (RMG) sector. That growth, however, carries a structural paradox: the very concentration that powered the ascent now constitutes the economy's greatest vulnerability.
This report examines the structure, risks, and strategic options for Bangladesh's trade sector through five analytical lenses: trade structure and evolution, economic complexity and diversification potential, gravity model analysis of trade determinants, LDC graduation and market access implications, and global value chain positioning. The analysis draws on 30 years of HS6-level trade data from BACI/CEPII and the World Bank.
Chapter 1
Trade Structure & Evolution
Bangladesh's export trajectory is a story of extraordinary growth built on a narrow base. Total merchandise exports grew 13-fold between 1995 and 2024, from $4.7 billion to $58.8 billion. Imports followed a similar path, reaching $63.6 billion, leaving a trade deficit of $4.8 billion.
The growth has not been linear. Export surges in the 2010s (peaking at $65.9 billion in 2022) were followed by a correction as post-pandemic demand normalized and global inflationary pressures shifted buyer behavior. The 2023 decline to $57.7 billion reflected both weaker European demand and order migration toward competing suppliers.
The RMG Paradox
RMG's share of total exports has risen from 60.3% in 1995 to 86.6% in 2024. This is not simply a story of garment growth outpacing other sectors; it reflects the failure of alternative export industries to achieve scale. Pharmaceuticals, ICT services, leather goods, and light engineering collectively account for less than 15% of export earnings despite decades of policy attention.
Product concentration, measured by the Herfindahl-Hirschman Index, has worsened over time. The export HHI rose from 0.229 in 1995 to 0.379 in 2024, moving further into the 'highly concentrated' zone. This makes the export sector structurally fragile: a shock to the global apparel market, whether from automation, preference erosion, or demand shifts, would propagate directly to the macroeconomy.
Trade Composition & Openness
Trade openness (total trade as a share of GDP) stood at 33.8% in 2022. While this reflects increasing global integration, it remains below the levels observed in peer export-oriented economies like Vietnam (186%) or Cambodia (124%). The relatively low openness ratio, despite large absolute trade volumes, partly reflects the size of Bangladesh's domestic economy and the limited role of intermediate goods in its trade basket.
Trade Partners & Geography
Bangladesh's export geography is concentrated in the advanced economies. The top five destination markets in the 2020s are: USA ($44.0B), Germany ($42.2B), United Kingdom ($19.6B), Spain ($18.7B), Poland ($16.3B). The EU and North America together absorb roughly 80% of garment exports. While the partner HHI has declined over time (indicating more export destinations), the core dependency on EU and North American buyers remains. A recession in European consumer markets would still affect both the dominant product and the dominant destination simultaneously.
Chapter 2
Economic Complexity & Diversification
The Economic Complexity Index (ECI), which measures the sophistication and diversity of a country's productive capabilities, tells a nuanced story. Bangladesh's ECI has improved from -1.536 in 2003 to -0.897 in 2022, placing it at rank 98 globally. A negative ECI indicates that the country's export basket is dominated by products that require limited productive knowledge and are exported by many countries.
Bangladesh exhibits revealed comparative advantage (RCA >= 1) in 18 HS2 product chapters, almost all textiles-adjacent. The highest RCA values are: HS61 (RCA 2.4), HS62 (RCA 2.3), HS06 (RCA 2.3), HS46 (RCA 2.2), HS03 (RCA 2.2). This pattern is characteristic of a productive structure organized around a single value chain rather than broad industrial capability.
Export Sophistication (EXPY)
The EXPY index, developed by Hausmann, Hwang, and Rodrik (2007), measures the income level associated with a country's export basket. Bangladesh's EXPY is $10,061, reflecting the low income-content of its garment-dominated exports. For comparison, Vietnam's EXPY exceeds $15,000 and China's exceeds $20,000.
EXPY has declined from $10,621 in 1977 to $10,061 in 2015. This trajectory suggests that Bangladesh has not substantially upgraded the sophistication of its export basket over two decades, despite significant growth in export volumes.
Chapter 3
Gravity Model & Trade Costs
The gravity model of international trade, which predicts bilateral trade flows based on economic size and distance, provides a structural framework for identifying Bangladesh's unrealized trade potential. We estimate a Poisson pseudo-maximum likelihood (PPML) model following Silva and Tenreyro (2006), which handles zero trade flows and heteroskedasticity.
The baseline model, estimated on 3,740 observations, achieves a pseudo-R-squared of 0.796. The key findings:
- A 10% increase in distance reduces trade by approximately 2.5%
- A 10% increase in partner GDP increases trade by approximately 9.2%
- FTA membership is associated with 35% higher trade
The FTA coefficient is particularly relevant given Bangladesh's impending LDC graduation. The 35% trade premium associated with FTA membership suggests substantial gains from proactively negotiating bilateral agreements before preferential access expires.
Trade Potential & Under-Traded Partners
Comparing actual trade flows against gravity-predicted levels reveals systematic patterns. Several markets where Bangladesh trades significantly below predicted levels represent untapped potential. Conversely, over-traded partners suggest existing relationships that may be more developed than structural fundamentals would predict.
Under-traded partners: BRB, BWA, SEN, TGO, ZWE. These represent markets where Bangladesh's actual exports fall significantly below what the gravity model predicts.
Panel Gravity with Year Fixed Effects
Extending the model with year fixed effects (controlling for global trade shocks) on 3,740 observations across 25 years improves fit to 0.829 from 0.796. The year fixed effects absorb common shocks such as the 2008 financial crisis and the 2020 pandemic, providing cleaner estimates of the structural determinants of Bangladesh's trade.
Using this enhanced model for counterfactual analysis, we estimate that LDC graduation would result in a 4.3% trade loss among 3 current preferential-access partners, conditional on no replacement agreements.
Chapter 4
LDC Graduation & Market Access
Bangladesh's graduation from Least Developed Country (LDC) status, expected in 2026, represents a watershed moment for trade policy. LDC status has provided preferential market access, particularly the EU's Everything But Arms (EBA) scheme that grants duty-free, quota-free access for garment exports. Graduation means the erosion of these preferences unless proactively replaced.
The average preference margin currently enjoyed by Bangladesh is 1.9 percentage points relative to MFN rates. While this appears modest in aggregate, it is concentrated in the garment sector where margins are thin and even small tariff increases can shift orders to competing suppliers.
- Full Mfn: average tariff 10.1%, estimated export impact -4.7%
- Gsp: average tariff 6.8%, estimated export impact -3.6%
- Bilateral Fta: average tariff 4.1%, estimated export impact +0.0%
General Equilibrium Welfare Analysis
Moving beyond partial equilibrium, a Caliendo-Parro (2015) multi-sector Ricardian CGE model calibrated on OECD ICIO 2022 data provides general equilibrium welfare estimates. LDC graduation reduces Bangladesh's real wages by 0.058%, while a 10% US tariff on RMG costs 0.032%. RCEP accession would partially offset these losses with a 0.030% welfare gain through regional trade integration.
Notably, China gains most from Bangladesh's preference erosion (trade diversion), highlighting the competitive pressure Bangladesh faces from China in post-LDC markets. Proactive FTA negotiations with the EU and regional trade agreements (RCEP, BIMSTEC) are essential to mitigate these losses.
Chapter 5
Global Value Chains
Bangladesh's position in global value chains reveals the structural character of its trade integration. The GVC participation rate of 26.9% is composed of backward linkages (8.0%) and forward linkages (17.1%). The dominance of forward over backward linkages is somewhat atypical for an assembly-oriented economy, suggesting that Bangladesh's contribution extends beyond simple processing.
Among regional peers, Bangladesh ranks 4th in GVC participation. VNM leads at 44.6%, reflecting its deeper integration into electronics and manufacturing value chains. Bangladesh's relatively lower participation reflects both its narrow product base and limited intermediate goods trade.
Deepening GVC integration, particularly through developing domestic backward linkages (textiles, packaging, accessories), would retain more value within the country and reduce import dependence for garment inputs.
Trade in Value Added (OECD ICIO 2025)
Using the Borin-Mancini (2019) decomposition on OECD ICIO 2025 data (85 countries, 50 industries, 1995-2022), we decompose Bangladesh's gross exports into domestic and foreign value added. On aggregate, 90.8% of Bangladesh's exports is domestic value, with 9.2% consisting of foreign value added (imported intermediates).
The TEXTL_RMG sector, Bangladesh's dominant export, has a foreign value added share of 13.4%, reflecting imported fabric and raw materials. This is lower than often cited, suggesting that domestic backward linkages in textiles have strengthened over time. The sector's GVC position index of -0.105 confirms its downstream (assembly) character.
Chapter 6
Trade Growth Decomposition & Dynamics
Decomposing export growth into extensive and intensive margins provides insight into the character of trade expansion. On average, 230% of growth comes from deepening existing trade relationships (intensive margin), while 194% comes from entering new product-market combinations (extensive margin). The high intensive margin share confirms that Bangladesh's growth has come primarily from selling more of the same products to the same partners, rather than from diversification into new products or markets.
Constant Market Share Analysis
Constant market share (CMS) analysis decomposes export growth from 1977-1981 to 2010-2015 into three components: global demand expansion (96%), market composition (-7%), and competitiveness (10%). The overwhelming role of global demand suggests that Bangladesh rode the wave of growing world trade rather than gaining market share through competitive improvements. The negative market composition effect indicates that Bangladesh was somewhat disadvantaged by the geographic distribution of its export destinations.
Intra-Industry Trade
The Grubel-Lloyd intra-industry trade (IIT) index stands at 0.078, among the lowest in the world. For context, industrialized economies typically exhibit GL indices above 0.5, while manufacturing-oriented developing countries like Vietnam and Thailand are above 0.3. An index near zero indicates that Bangladesh trades overwhelmingly in one direction: it exports finished garments and imports raw materials, machinery, and consumer goods, with almost no two-way trade in similar products. This pattern limits the efficiency gains from product differentiation and scale economies that characterize deeper trade integration.
Trade Relationship Survival
Perhaps the most striking finding in this analysis concerns the durability of new export relationships. Analysis of 70,256 export spells reveals a median duration of just 1.0 year. Only 21% of new export relationships survive beyond 3 years, and merely 10% beyond 5 years.
Conclusion
Policy Implications
The analysis reveals an economy at a critical juncture. Bangladesh has built a world-class garment export sector but has not translated that success into broader productive capability. With LDC graduation approaching, the window for proactive policy action is narrowing. Seven strategic priorities emerge:
- Export Diversification Beyond RMG. Pharmaceuticals, IT services, and light engineering have demonstrated potential but lack the institutional support, quality infrastructure, and trade promotion needed to achieve scale. A dedicated export diversification agency with sectoral targets and accountability mechanisms is needed.
- Complexity Upgrading Within Garments. Rather than abandoning RMG, Bangladesh should move up the value chain: from cut-make-trim to design, branding, and technical textiles. This leverages existing capabilities while building complexity.
- Proactive FTA Negotiation. With LDC preferences expiring, Bangladesh must urgently negotiate bilateral FTAs with the EU, UK, Japan, and other key markets. Each year of delay increases the risk of order migration to FTA-equipped competitors like Vietnam.
- Domestic Backward Linkage Development. Developing domestic textile, packaging, and accessory industries would deepen GVC participation, reduce import dependence, and retain more value domestically.
- Trade Facilitation & Cost Reduction. High trade costs (logistics, customs, infrastructure) reduce competitiveness. Modernizing customs, expanding port capacity, and digitizing trade procedures would lower the effective cost of doing business.
- Export Relationship Sustainability. The extremely low survival rate of new trade relationships requires targeted intervention: trade support services, market intelligence, quality assurance programs, and export credit guarantees to help firms sustain new market entries.
- Intra-Industry Trade Development. Building capacity for two-way trade in intermediate goods, particularly in textiles and light manufacturing, would integrate Bangladesh more deeply into regional production networks and increase the gains from trade.
Data sources: BACI/CEPII bilateral trade data (1995-2024), World Bank World Development Indicators, Atlas of Economic Complexity (Harvard/MIT), CEPII Gravity Database, ESCAP-World Bank Trade Cost Database, WTO Tariff Data, EORA Multi-Region Input-Output Database. Analysis by BDPolicy Lab. Generated on 2026-03-30.