Research Article |
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Corresponding author: Fenghui Fan ( fenghuiffh@163.com ) Academic editor: Marina Sheresheva
© 2025 Fenghui Fan, Natalia Grigorieva.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Fan F, Grigorieva N (2025) Pharmaceutical products trade dynamics of BRICS (BRICS10): Global positioning, intra-bloc trade, and future policy directions. BRICS Journal of Economics 6(4): 87-117. https://doi.org/10.3897/brics-econ.6.e153294
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This study examines pharmaceutical trade dynamics within the expanded BRICS10 grouping, comprising the original BRICS5 members (Brazil, Russia, India, China, and South Africa) and five countries that joined in 2024–2025: Egypt, Ethiopia, Iran, the United Arab Emirates (UAE), and Indonesia (these five hereafter referred to as “BRICS Newcomers,” abbreviated as “Newcomers”). The 10 countries are collectively referred to as “BRICS10.” Focusing on 2012–2023, the study explores whether trade patterns within BRICS5, among Newcomers, between the two groups, and across BRICS10 reveal structural asymmetries or early integration signals.
A 12-year country-level panel was built using United Nations Comtrade HS Code 30 data on pharmaceutical products. Missing values for Iran and Russia were filled using reclassified mirror statistics. Key indicators included compound annual growth rates (CAGR), trade balances, intra- and inter-group trade shares, and 1 080 dyad-level Trade Intensity Index (TII) scores. Data processing and visualization were conducted using R.
In 2023, BRICS10 accounted for 9.7% of global pharmaceutical imports and 4.7% of exports. Intra-bloc trade was limited and uneven: 64.4% of the dyads were under-traded, with a TII of less than 1, and only 3.1% reached very high intensity (TII ≥ 15). India was the sole net exporter, while most members remained dependent on imports. Trade spikes driven by the pandemic were short-lived.
This is the first time-series analysis of pharmaceutical trade between BRICS10 countries at the dyad level. It reveals structural imbalances and under-trading on a large scale, providing new evidence to support policies aimed at promoting regional pharmaceutical integration and enhancing health system resilience through South–South cooperation.
bilateral trade flows, BRICS10 integration, BRICS5, BRICS Newcomers, pharmaceutical trade shares, South–South cooperation, trade asymmetry, Trade Intensity Index.
The BRICS bloc — comprising Brazil, Russia, India, China, and South Africa — entered a new phase of geopolitical and economic significance with the inclusion of Egypt, Ethiopia, Iran, the UAE, and Indonesia in 2024–2025, forming the expanded BRICS10 grouping. Using World Development Indicators (WDI) values for 2024 from the
Despite their demographic and economic weight, the BRICS10 countries remain structurally heterogeneous with regard to industrial capacity, pharmaceutical regulations, and export competitiveness. The internal disparities raise serious questions about the group’s ability to promote a cohesive and robust pharmaceutical trade framework.
In response to structural challenges, BRICS5 countries have, over the last decade, actively used South–South cooperation (SSC) to enhance both domestic pharmaceutical capacity and the health systems of partner countries. Through SSC frameworks, pharmaceutical manufacturing technologies have been transferred to developing nations to improve drug affordability and accessibility. Brazil and China, for example, have contributed significantly to the development of generic drug production in several African countries, reducing costs of essential medicines (
While these institutional developments indicate an increased level of policy coherence, empirical assessments of the pharmaceutical trade integration of the BRICS countries remain limited. Earlier studies have documented the growing global pharmaceutical presence of BRICS. For instance, India recorded a CAGR of approximately 17.6% in pharmaceutical exports from 2010 to 2014, while China experienced a 25% CAGR in pharmaceutical imports over the same period (
Other research has shown the growing global presence of BRICS in the pharmaceutical markets. Between 2001 and 2018, the combined share of the BRICS countries in global pharmaceutical exports increased more than twofold, with export values rising approximately 11.7-fold to reach $25.5 billion. This was significantly greater than the 5.1-fold increase in total global pharmaceutical exports during the same period. On the import side, the BRICS5 countries’ combined share grew almost twice as large, and the total value of pharmaceutical imports rose more than tenfold to $50.2 billion by 2018 as reported by
The addition of new countries — each with different regulatory profiles, production capacities, and trade models — further widens these analytical gaps. The group’s expansion certainly offers potential synergies, for example, leveraging China’s and India’s active pharmaceutical ingredient (API) manufacturing scales (
In light of these structural and institutional complexities, this paper draws on international trade theory and regional integration studies to address a critical knowledge gap: the absence of systematic, longitudinal analysis of pharmaceutical trade flows between the original BRICS5 members and the newly admitted members of BRICS (the Newcomers). Despite mounting policy attention and institutional commitments, there remains limited empirical understanding of the depth, directionality, and internal asymmetries of pharmaceutical trade within the BRICS group. In particular, no existing studies have comprehensively applied metrics such as TII to assess the dynamics of intra-bloc integration in the pharmaceutical industry over time.
Against this backdrop, the paper addresses the following four interrelated research questions:
(1) How have pharmaceutical imports and exports changed between individual BRICS member countries, within larger groupings such as the BRICS5, and in all 10 countries of the BRICS over the period from 2012–2023?
(2) What are the trade balances of individual BRICS countries and how do countrylevel asymmetries reflect broader structural divisions that influence intrabloc trade cohesion?
(3) How does the Trade Intensity Index (TII) reveal the strength, direction, and asymmetry of pharmaceutical trade within the BRICS10 bloc, including bilateral interactions between members and subgroups, such as BRICS5 and Newcomers, as well as overall bloc dynamics?
(4) How are BRICS10, BRICS5, and Newcomers positioned in the global pharmaceutical market, and how have their import and export shares evolved compared to global trends?
To address these questions, the study undertakes a 12-year, country-level analysis of pharmaceutical trade flows among the BRICS10 members using HS Code 30 data from the United Nations Comtrade database. The analysis incorporates multiple quantitative indicators, including CAGRs (compound annual growth rates), global and intra-bloc trade shares, trade balances and the TII (Trade Intensity Index), to examine both absolute volume and relational dynamics in BRICS, Newcomers and the bloc as a whole. By combining temporal growth trajectories with structural trade indicators, the study offers the first longitudinal and disaggregated assessment of how the BRICS expansion reshaped intra-group and global trade in the pharmaceutical industry. The findings provide a data-driven basis for policies aiming to improve internal resilience, reduce external dependence and strengthen the role of BRICS in global health supply chains.
This study analyzed pharmaceutical trade data classified under Harmonized System (HS) Code 30 (pharmaceutical products), as defined by the World Customs Organization (
Compound Annual Growth Rate (CAGR, %) of BRICS10 Member States’ Pharmaceutical Products Imports (2012–2023)
| Phase | Brazil | China | India | Russia | South Africa | Egypt | Ethiopia | Indonesia | Iran | UAE |
| 2012–2014 | 4.45 | 16.89 | -3.64 | -2.23 | -6.49 | 6.25 | -5.68 | 10.77 | 15.63 | -3.03 |
| 2014–2015 | -12.99 | 8.30 | -0.80 | -32.12 | 4.73 | 19.75 | 58.09 | 4.05 | -5.90 | 4.41 |
| 2015–2020 | 2.00 | 12.67 | 8.89 | 4.45 | 2.15 | 4.51 | -0.93 | 9.41 | -3.03 | 12.47 |
| 2020–2021 | 55.40 | 19.90 | 33.10 | 27.51 | 27.06 | 43.11 | 40.31 | 276.22 | 55.45 | 47.84 |
| 2021–2023 | -0.60 | 1.44 | -11.16 | -6.96 | -11.19 | -5.31 | -8.71 | -45.84 | -34.26 | -3.08 |
| 2012–2023 | 4.42 | 11.51 | 3.64 | -1.05* | 0.18 | 7.26 | 4.18 | 7.47 | -2.88** | 8.50 |
Iran (2012, 2023) and Russia (2022, 2023) did not report HS Code 30 trade data to Comtrade because of geopolitical sanctions and reporting limitations. For the missing years, partner-reported data were extracted, reclassified (imports as exports and vice versa), and compiled into Supplementary Table 2, which served as a source for completing both the reporter–partner and global trade panels.
Compound Annual Growth Rate (CAGR, %) of BRICS10 Member States’ Pharmaceutical Products Exports (2012–2023)
| Phase | Brazil | China | India | Russia | South Africa | Egypt | Ethiopia | Indonesia | Iran | UAE |
| 2012–2014 | 2.41 | 5.78 | 10.21 | -1.71 | -0.22 | 8.01 | -5.74 | 9.35 | 52.98 | -38.05 |
| 2014–2015 | -15.06 | 5.30 | 7.56 | -11.70 | -6.92 | -28.35 | -2.36 | 13.21 | -36.58 | 45.93 |
| 2015–2020 | -4.11 | 13.73 | 7.99 | 13.62 | -0.33 | 1.86 | 13.26 | 0.21 | -0.96 | 31.96 |
| 2020–2021 | 2.30 | 191.84 | 5.61 | 144.49 | 90.08 | 18.14 | 14.93 | -6.17 | 8.44 | 50.44 |
| 2021–2023 | 5.91 | -45.89 | 4.62 | -48.94 | -22.30 | 3.81 | -12.19 | 9.22 | -8.89 | -10.32 |
| 2012–2023 | -1.69 | 6.09 | 7.51 | 0.27* | 0.41 | 1.41 | 3.32 | 3.95 | 2.22** | 9.49 |
To analyze global trends, global trade aggregates were constructed by setting “All” as Reporters and “World” as the Partner (Supplementary Table 3). The data on world exports to each BRICS10 country from 2012 to 2023 were retrieved by setting Reporters to “All,” Partners to BRICS10 members, HS (as reported) Commodity Codes to 30, and Trade Flows to Export, aggregated by reporting country (Supplementary Table 4). World exports to the BRICS10 group as a whole were derived by summing the annual exports to all the ten BRICS10 countries.
| TII band | Definition | Observations (n) | Share of total (%) |
| Zero trade | TII = 0 | 177 | 16.4 |
| Low | 0 < TII < 1 | 519 | 48.1 |
| Medium | 1 ≤ TII < 5 | 242 | 22.4 |
| High | 5 ≤ TII < 15 | 109 | 10.1 |
| Very high | TII ≥ 15 | 33 | 3.1 |
| Total | — | 1 080 | 100 |
Compound Annual Growth Rate (CAGR, %) of Global and BRICS Pharmaceutical Products Imports (2012–2023)
| Phase | Global Import CAGR | BRICS10 Global Import CAGR | BRICS5 Global Import CAGR | Newcomers Global Import CAGR |
| 2012–2014 | 4.88 | 5.46 | 5.68 | 4.14 |
| 2014–2015 | -3.24 | -5.96 | -8.46 | 9.28 |
| 2015–2020 | 7.53 | 8.25 | 8.61 | 6.37 |
| 2020–2021 | 19.20 | 33.61 | 26.67 | 72.87 |
| 2021–2023 | 1.78 | -4.06 | -1.45 | -15.71 |
| 2012–2023 | 5.95 | 6.07 | 6.01 | 6.42 |
All data used in this study, including those in Supplementary Tables 1, 3, and 4, were extracted from ComtradePlus on 24 June 2025. Partner-reported data for Iran and Russia in non-reporting years were downloaded on the same date, reclassified, and compiled into Supplementary Table .
All data processing and analysis were conducted using R version 4.5.1 within RStudio 2025.5.1.513. R and RStudio were selected for their robust data wrangling and visualization capabilities.
To address missing values, reclassified partner-reported mirror statistics for Iran (2012, 2023) and Russia (2022–2023), as provided in Supplementary Table , were inserted into Supplementary Table , creating a complete reporter–partner panel for all the BRICS10 countries over the full 2012–2023 period.
From this filled dataset, the annual aggregates for the primaryValue variable were calculated to construct the 18 trading vectors (all in nominal USD):
(1) BRICS10 Global Import: Total imports by BRICS10 from all sources (2012–2023)
(2) BRICS5 Global Import: Total imports by BRICS5 from all sources (2012–2023)
(3) Newcomers Global Import: Total imports by BRICS Newcomers from all sources (2012–2023)
(4) BRICS10 Intra-Import: Intra-group imports within BRICS10 (2012–2023)
(5) BRICS5 Intra-Import: Intra-group imports within BRICS5 (2012–2023)
(6) Newcomers Intra-Import: Intra-group imports within Newcomers (2012–2023)
(7) BRICS5-from-Newcomers Import: Imports by BRICS5 from Newcomers (2012–2023)
(8) Newcomers-from-BRICS5 Import: Imports by Newcomers from BRICS5 (2012–2023)
(9) BRICS10 Global Export: Total exports by BRICS10 to all destinations (2012–2023)
(10) BRICS5 Global Export: Total exports by BRICS5 to all destinations (2012–2023)
(11) Newcomers Global Export: Total exports by Newcomers to all destinations (2012–2023)
(12) BRICS10 Intra-Export: Intra-group exports within BRICS10 (2012–2023)
(13) BRICS5 Intra-Export: Intra-group exports within BRICS5 (2012–2023)
(14) Newcomers Intra-Export: Intra-group exports within Newcomers (2012–2023)
(15) BRICS5-to-Newcomers Export: Exports by BRICS5 to Newcomers (2012–2023)
(16) Newcomers-to-BRICS5 Export: Exports by Newcomers to BRICS5 (2012–2023)
(17) Each BRICS10 member’s annual import (2012–2023)
(18) Each BRICS10 member’s annual export (2012–2023)
To ensure completeness in the global trade series, the same reclassified mirror statistics for Iran (2012 and 2023) and Russia (2022 and 2023) from Supplementary Table were incorporated directly into Supplementary Table . This imputed dataset served as the basis for constructing two comprehensive global trade vectors:
(19) Global Import: Total global imports (2012–2023)
(20) Global Export: Total global exports (2012–2023).
Trade share indicators were calculated as the ratio of intra-group trade to the group’s total global trade. For example, BRICS10 Intra-Export Share = BRICS10 IntraExport / BRICS10 Global Export. Indicators were computed for intragroup and intergroup trade shares, covering ratios such as intra-group trade over grouplevel global trade, each group’s share in global trade and cross-subgroup trade shares. These categories reflect varying levels of internal integration and external orientation.
Annual trade balances were calculated using the formula: Trade Balance = Export – Import. These values were computed for each of the BRICS10 countries in nominal USD in order to examine the evolution of trade surpluses and deficits and the asymmetries in their trade positions over time.
The compound annual growth rate (CAGR) was calculated as: CAGR = [(Ending value / Starting value)^(1/n)] – 1, where n is the number of years. The CAGR was calculated for each of the 10 BRICS countries, as well as for the BRICS10 group, the BRICS5 group, the Newcomers, and for the global imports and exports.
TII was calculated as: TII = (x_ij / X_i) / (x_wj / X_w), where x_ij = exports from i to j, X_i = total exports of i, x_wj = world exports to j, and X_w = global exports.
Three types of TII were computed to capture different dimensions of trade intensity:
(1) Bilateral TII for each BRICS10 country’s exports to every other member (10 member countries × 9 partners × 12 years = 1 080 exporter–partner–year dyads);
(2) TII from each BRICS10 member to the BRICS10 bloc;
(3) TII from the BRICS10 bloc to each BRICS10 member.
The export value x_ij used in all TII calculations was primarily derived from Supplementary Table , with imputed values for missing data from Iran and Russia provided in Supplementary Table . The total export value X_i for calculating both the Bilateral TII and the TII from each BRICS10 member to the BRICS10 group is the same and was derived from the annual export data presented in Section 3.1. For the TII from the BRICS10 bloc to each BRICS10 member, X_i refers to the BRICS10 Global Export.
The import-side comparative x_wj, used in the bilateral TII and bloc-to-member calculations (i.e. world exports to each BRICS10 member country), was extracted as described in Section 3.1 (see Supplementary Table ). For the member-to-bloc TII, x_wj represents the sum of world exports to all BRICS10 members, also derived from Supplementary Table .
The global total export X_w, used as the denominator in all TII calculations, corresponds to the Global Export value. For descriptive purposes, all exporter–partner–year TII observations were grouped into five bands: Zero trade (TII = 0), Low (0 < TII < 1), Medium (1 ≤ TII < 5), High (5 ≤ TII < 15), and Very high (TII ≥ 15).
All visualizations were produced using the ggplot2 package version 3.5.1 in R to ensure consistent design and labeling across figures.
Between 2012 and 2023, the trajectories of BRICS10 countries’ pharmaceutical imports diverged significantly (Fig.
Pharmaceutical Products Import Value by BRICS10 Countries (2012–2023). Panel A displays total annual import values for all BRICS10 members, highlighting China’s dominant trajectory. Panel B zooms in on smaller importers—including most Newcomers and selected BRICS5 countries—to allow comparative visualization.
As shown in Fig.
To provide a normalized comparison of long-term import dynamics, Table
Collectively, these patterns highlight the diverse policy responses, underlying economic inequalities, and pandemic-related disruptions that have shaped BRICS10’s pharmaceutical import dynamics over the past decade. The diversity of trajectories further emphasizes the need for customized policy instruments and coordinated regional frameworks to ensure the resilience of pharmaceutical trade and continuity of supply.
Between 2012 and 2023, exports of pharmaceutical products across the BRICS10 countries exhibited distinct trends, as shown in Fig.
Fig.
As illustrated in Fig.
Among the Newcomers, as can be seen from Fig.
To complement these trajectory-based insights, Table
Overall, the BRICS10 countries exhibited highly heterogeneous export dynamics. India sustained a consistent upward trajectory, while others, such as China, Russia, the UAE, and South Africa, experienced vaccine-driven surges followed by postpandemic contractions. These fluctuations reflected shifting global demand, supply chain disruptions, and uneven manufacturing capacities.
Pharmaceutical trade balance trends across BRICS10 between 2012 and 2023 reveal marked disparities between exports and imports (Fig.
India consistently posted a substantial trade surplus ranging from $7.85 billion to $18.7 billion, reflecting its dominant position in generic and robust pharmaceutical manufacturing capacities. In contrast, China had persistent deficits, although the gap narrowed to $3.32 billion in 2021 amid a surge in vaccine exports during the COVID-19 pandemic. However, it widened again to $31.79 billion in 2023 because of rising domestic demand.
Russia has maintained a stable trade deficit of around $11 billion, indicating limited success in its efforts to reduce import dependence, despite policy interventions. Brazil showed a sustained deficit between $5.30 billion and $10.28 billion, driven by its reliance on imported medicines.
Among the Newcomers, the UAE recorded a widening deficit, peaking at $4.30 billion in 2023, in line with its high-income and import-oriented profile and regional distribution role. The deficit in Egypt ranged from $1.37 billion to $3.71 billion, with a peak in 2021, highlighting structural reliance on imports.
South Africa had a relatively modest deficit, ranging from $1.48 billion in 2016 to $2.31 billion in 2021. Iran showed a moderately balanced profile, with the deficit improving from $1.83 billion in 2022 to $0.75 billion in 2023, which probably reflected both domestic substitution policies and volatility in mirror trade data.
Ethiopia reported smaller but persistent deficits between $0.38 billion and $0.81 billion, with 2021 as the peak year. Indonesia’s deficit rose sharply to $3.80 billion in 2021 owing to pandemic-induced demand, before dropping to $0.62 billion in 2023, thus returning to pre-pandemic levels.
Fig.
Fig.
Fig.
Brazil demonstrated a gradual upward trend, reaching a peak TII of 2.24 in 2022 before declining below 1.0 in 2023. China maintained relatively stable TII values, hovering slightly above 1.0 throughout most of the period, with a notable increase to 1.67 in 2021, possibly linked to pandemic-related vaccine exports.
The UAE recorded the highest annual TII towards the bloc (2.71 in 2014), but this figure steadily declined over time, reaching 0.49 by 2023. India’s TII also followed a downward trend, declining from a high of 1.60 in 2013 to nearly parity (1.01) by 2023.
Iran’s TII increased intermittently, notably in 2012, 2014, and 2019, primarily thanks to consistent exports to Russia. Despite a downward trend in recent years, Indonesia maintained one of the highest levels of TII within the bloc. This reflects sustained export flows from Indonesia to India.
Fig.
Ethiopia consistently recorded the highest import-side TII (ranging from 5.43 to 10.52) values, indicating a structural dependency on pharmaceutical imports from other BRICS members, with only a temporary decline in 2021. South Africa also showed sustained and elevated TIIs, maintaining levels of around 5.0 throughout most of the period, peaking at 6.61 in 2019.
India’s TII peaked at 4.29 in 2014, but fell to 2.80 by 2021, probably because of the pandemic-induced disruptions to domestic pharmaceutical production and logistics, and then rebounded to 3.76 in 2023. Indonesia demonstrated a clear upward trajectory, with TII increasing from 1.88 in 2012 to 3.76 in 2023 and a notable spike to 7.13 in 2021, also driven by vaccine imports during the COVID-19 pandemic.
Iran’s TII remained moderate overall, gradually increasing after 2015 and reaching 3.09 in 2020 before declining to 1.80 in 2021 amid pandemic-related constraints. The UAE moved from consistent under-trading (TII < 1.0) before 2018 to sustained over-trading in subsequent years, reaching 4.27 in 2021 and settling at 1.80 by 2023.
Brazil’s TII rose from 0.93 in 2013 to a peak of 2.07 in 2020, before moderating to 1.75 in 2023. Egypt remained close to trade parity throughout the period (TII ≈ 0.93–1.51), with a temporary increase to 2.17 in 2021. Russia exhibited relatively low TII values, ranging between 0.79 and 1.19. China recorded the lowest import-side TII values within the bloc, consistently between 0.042 and 0.23, suggesting minimal pharmaceutical import dependence on its BRICS10 partners throughout the entire period.
Taken together, Fig.
Between 2012 and 2023, Global Import rose from $455.24 billion to $860.10 billion, with a notable spike in 2021 amid the COVID-19 pandemic and persistently high levels through 2023 (Fig.
Global and BRICS Pharmaceutical Products Import (2012–2023). Panel A presents global pharmaceutical import values and situates the contributions and global shares of BRICS10, BRICS5, and Newcomers, as well as the internal composition of BRICS10 in terms of BRICS5 and Newcomers. Panel B magnifies the low-value portion of Panel A, allowing clearer comparison of subgroup import volumes and their shares in both global and intra-BRICS10 totals.
The Newcomers’ Global Import remained modest, rising from $6.35 billion in 2012 to $17.71 billion in 2021, before falling to $12.58 billion in 2023 (Fig.
The BRICS10 Intra-Import peaked at $10.22 billion in 2021, then dropped to $3.81 billion in 2023. BRICS5 Intra-Import showed a similar trend, falling from $4.30 billion to $2.67 billion over the same period (Fig.
Intra-BRICS Pharmaceutical Products Import (2012–2023). Panel A shows intra-group imports among BRICS10 countries, highlighting the contributions of BRICS5 and Newcomers, along with Newcomers’ imports from BRICS5. It also indicates each subgroup’s share in total BRICS10 intra-import. Trade peaked in 2021, driven by a surge in Newcomers’ imports from BRICS5. Panel B magnifies the low-value portion of Panel A to show Newcomers-related flows in greater detail. Newcomers Intra-Import was volatile and declined after 2021, while BRICS5-from-Newcomers Import remained minor throughout.
The share of BRICS10 Intra-Import in BRICS10 Global Import fluctuated between 4.9% and 6.2% before the pandemic, surged to 11.2% in 2021, and declined to 4.5% by 2023 (Fig.
From 2012 to 2023, the CAGR for global imports was 5.95%. BRICS10 and BRICS5 recorded similar rates at 6.07% and 6.01%, respectively, while Newcomers grew faster at 6.42% (Table
Global Export grew from $438.30 billion to $813.52 billion, with a notable surge during the COVID-19 pandemic in 2020–2021 (Fig.
Global and BRICS Pharmaceutical Products Export (2012–2023). Panel A presents global pharmaceutical export values and situates the contributions and global shares of BRICS10, BRICS5, and Newcomers, as well as the internal composition of BRICS10 in terms of BRICS5 and Newcomers. Panel B magnifies the low-value portion of Panel A, allowing clearer comparison of subgroup export volumes and their shares in global totals.
BRICS10 Intra-Export rose from $1.99 billion in 2012 to $8.98 billion in 2021 before falling to $3.49 billion in 2023 (Fig.
Intra-BRICS Pharmaceutical Products Export (2012–2023). Panel A shows intra-group exports among BRICS10 countries, highlighting the contributions of BRICS5 and Newcomers, along with BRICS5’s exports to Newcomers. It also indicates each subgroup’s share in total BRICS10 intraexports. Intra-BRICS export peaked in 2021, driven by a surge in BRICS5-to-Newcomers flows. Panel B magnifies the low-value portion of Panel A, allowing clearer comparison of Newcomersrelated flows, including Newcomers Intra-Export and exports to BRICS5, as well as their respective shares in BRICS10 Intra-Export.
The share of BRICS10 Intra-Export in BRICS10 Global Export fluctuated between 9.1% in 2016 and 13.7% in 2021, ending at 9.2% in 2023, near the 2012 level of 10.2% (Fig.
Between 2012 and 2023, the compound annual growth rate (CAGR) of Global Exports was 5.78%. The BRICS10, BRICS5, and Newcomers recorded slightly higher growth of 6.20%, 6.18%, and 6.46%, respectively (see Table
Compound Annual Growth Rate (CAGR, %) of Global and BRICS Pharmaceutical Products Exports (2012–2023)
| Phase | Global Export CAGR | BRICS10 Global Export CAGR | BRICS5 Global Export CAGR | Newcomers Global Export CAGR |
| 2012–2014 | 4.82 | 6.47 | 7.50 | -6.92 |
| 2014–2015 | -3.72 | 4.17 | 4.28 | 2.48 |
| 2015–2020 | 7.50 | 9.68 | 9.42 | 13.63 |
| 2020–2021 | 20.55 | 79.24 | 82.73 | 31.91 |
| 2021–2023 | 0.68 | -24.04 | -25.17 | -5.28 |
| 2012–2023 | 5.78 | 6.20 | 6.18 | 6.46 |
This study presents the first longitudinal, countrylevel assessment of pharmaceutical trade among the enlarged BRICS10 group. By integrating CAGR trajectories, tradebalance dynamics, and the TII measures over 2012–2023, we show that the group’s collective footprint in global pharmaceutical commerce remains modest and intraBRICS trade is highly asymmetric. Since the first BRICS health ministers’ meeting in 2011, subsequent cooperation frameworks have not produced measurable deepening in intra-bloc pharmaceutical integration. Prior descriptive snapshots of the BRICS5 provided by
Import and export trajectories across BRICS10 reveal marked heterogeneity that mirrors divergent industrial capacities and policy frameworks. China’s sustained growth in imports after 2016 was aligned with a number of pro-importer reforms, including the 2015 revision of the State Council’s drug and medical device approval process that cleared backlogs and introduced priority pathways (State Council of the People’s Republic of China, 2015); the 2016 Guidance on the healthy development of the pharmaceutical industry that endorsed “innovation-driven, open collaboration” (General Office of the State Council of the People’s Republic of China, 2016); and the decision in 2018 to eliminate tariffs on 28 imported medicines (Customs Tariff Commission of the State Council of the People’s Republic of China, 2018). Together, these measures reduced regulatory and financial barriers and accelerated the entry of foreign therapies. In contrast, India continued to maintain a significant surplus, which is in line with global value chain research, positioning the country as a key supplier of generic medicines (
Export performance is equally uneven. India’s incremental export growth has been boosted by continued access to heavily regulated markets and a growing finished-dosage pipeline. China’s exceptional vaccinedriven surge in 2021 proved temporary, highlighting the episodic nature of its export engagement with the BRICS partners. Most other members, including South Africa and the majority of Newcomers, remained peripheral exporters. During the 2012–2023 period, the BRICS10 countries maintained modest shares in global pharmaceutical trade. Exports consistently trailed imports (Figs
As shown in Table
The import‐side perspective further supports this view. Ethiopia and South Africa were the only members that consistently registered high bloc‐wide import TIIs, signaling structural reliance on BRICS suppliers. In contrast, China and Russia showed persistently low values of importer-side TII — China’s remained below 0.23 in all years observed — highlighting their marginal role as pharmaceutical importers within the group. This discrepancy may reflect a combination of factors, including domestic production dominance, preferential sourcing from their non-BRICS partners, such as the EU, the US, and Japan, or regulatory divergence which limits integration with other BRICS countries.
These patterns underscore the asymmetric and selective nature of intra-BRICS trade engagement (Fig.
Two robustness checks buttress confidence in the empirical patterns. First, inflation-adjusted series displayed the same directional trends as the nominal values (Appendix 1, Supplementary Fig.
Nonetheless, there are three limitations. Mirror data typically capture directional trade patterns during fully reported periods but may underrepresent informal or evasion transactions, especially in sanctioned years such as the post-2014 period in Russia, thereby potentially biasing reported export values downwards. Besides, HS Code 30 focuses on finished pharmaceutical products, but excludes medical devices and many upstream intermediates or bulk APIs. While this aligns with our scope of “pharmaceutical products”, it also means that upstream supplychain dynamics lie outside the present analysis. Finally, researchers concerned about welfare or price level effects should interpret nominal growth with caution, especially during the period of high inflation from 2021 to 2023.
Shortterm progress hinges on data transparency and regulatory convergence. Establishing a group-wide pharmaceutical trade data dashboard, coupled with mutual recognition of Good Manufacturing Practice (GMP) inspections and harmonised dossier formats, would reduce compliance duplication and increase supplychain visibility.
Over a mediumterm horizon, a pooledprocurement mechanism modeled on the Pan American Health Organization’s Strategic Fund (Pan American Health Organization, n.d.) could aggregate demand, stabilize prices, and incentivise intrabloc sourcing, with particular benefits for Newcomers that currently have limited bargaining power. Parallel investment in crossborder logistics corridors and shared qualitycontrol laboratories would lower transaction costs and shorten delivery lead times.
Long-term strategies should use the New Development Bank to fund greenfield plant development, advanced biologic manufacturing clusters, and bloc-wide digital regulatory infrastructures in low-capacity member states. Joint R&D initiatives focusing on complex generics, biosimilar drugs, vaccines, innovative therapies, alongside establishment of shared clinical trial and pharmacovigilance networks, would further strengthen scientific collaboration. Together, these measures could transform episodic collaboration into an institutionalized, innovation-driven healthsecurity architecture.
Moving forward, at least four areas deserve attention. First, the pronounced growth in imports among the Newcomers, despite their modest export bases, suggests a latent capacity that can be unlocked through targeted investment in formulation plants and regulatory systems. Comparative research on regional regulatory harmonization, such as the ASEAN Pharmaceutical Regulatory Framework (
Despite their considerable economic and demographic weight, the BRICS10 members remain peripheral actors in global pharmaceutical trade. Intra-group exchanges are structurally weak and highly asymmetric: India is the only country with a sustained surplus and broad export reach, whereas most others, especially the recent entrants, are chronically importdependent. Our longitudinal, countrylevel analysis integrates growth trends, tradeintensity metrics, and structural asymmetries to disentangle domestic trajectories from bloclevel integration, thereby filling a notable gap in South–South trade scholarship.
The brief spike in intra-group trade during the COVID-19 emergency proved unsustainable. By 2023, both Intra-Import and Intra-Export shares of BRICS10 had retreated to, or even below, their pre-pandemic levels. This retrenchment revealed the group’s vulnerability to external shocks and emphasized the lack of institutionalized mechanisms for trade coordination.
Transforming BRICS10 into a resilient and competitive pharmaceutical network requires going beyond mere rhetoric and moving towards real cooperation. Immediate priorities include harmonizing Good Manufacturing Practice (GMP) and pharmacovigilance standards, as well as establishing a real-time BRICS Pharmaceutical Trade Observatory. In the medium term, it is critical to scale up pooled procurement platforms in order to aggregate demand and stabilize prices. This can be achieved through targeted investment, financed by the New Development Bank, in formulation plants, logistics corridors, and regional quality control laboratories, which can then help to upgrade capacity in member countries with low resources. Longterm success hinges on joint R&D pipelines for complex generics, biosimilars, vaccines, and novel therapeutics, supported by blocwide clinicaltrial and pharmacovigilance networks.
Without such structural reforms, BRICS might remain a loosely connected group of import-dependent states linked only by occasional trade ties. Building credible institutions and interoperable regulatory frameworks is essential if this bloc is to turn its demographic strength into coordinated market power and emerge as an influential, equitable participant in global healthcare supply chains.
The data underpinning the analysis reported in this paper are deposited at the Zenodo repository (Fan & Grigorieva, 2025) and are publicly accessible (DOI: https://doi.org/10.5281/zenodo.17165609). Data were retrieved from UN Comtrade/ComtradePlus on 24 June 2025 and from the World Bank World Development Indicators on 6 June 2025.
To evaluate the impact of inflation on BRICS10 pharmaceutical trade trends, both nominal and real values of total imports and exports were analyzed for the period 2012–2023. Nominal trade values—representing total pharmaceutical imports and exports by BRICS10 countries—were extracted from the United Nations Comtrade database via the ComtradePlus portal (https://comtradeplus.un.org/TradeFlow) on 24 June 2025. Extraction parameters were as follows: “HS (as reported) Commodity Codes” set to “30”; “Periods” set to 2012–2023; “Reporters” as each BRICS10 country (Brazil, China, India, Russian Federation, South Africa, Egypt, Ethiopia, Indonesia, Iran, United Arab Emirates); “Partners” set to “All” and “Trade Flow” including both “Export” and “Import” (Supplementary Table ).
To ensure completeness, missing data for Iran (2012, 2023) and Russia (2022, 2023)—which did not report trade statistics to Comtrade—were imputed using partner-reported mirror statistics. These mirror data were reclassified (imports as exports and vice versa) and incorporated into the nominal trade vectors (Supplementary Table ). Aggregated annual import and export values across all BRICS10 countries, using this filled dataset, constitute the nominal values analyzed in this supplementary material.
Real values were derived by deflating nominal values using the US GDP deflator (World Bank indicator: NY.GDP.DEFL.ZS), with 2015 set as the base year (index = 100). The deflator index values used for conversion (95.75 for 2012; 97.38 for 2013; 99.08 for 2014; 100.00 for 2015; 100.95 for 2016; 102.76 for 2017; 105.11 for 2018; 106.85 for 2019; 108.27 for 2020; 113.21 for 2021; 121.28 for 2022; and 125.65 for 2023) were downloaded from the World Bank Open Data platform on 6 June 2025, as shown in Supplementary Table .
Real values were calculated using the formula: Real USD = (Nominal USD / Deflator Index) × 100. These values were plotted to visually compare inflation-adjusted (real) versus nominal trends for both imports and exports.
Between 2012 and 2023, both nominal and real pharmaceutical trade values for the BRICS10 bloc showed an upward trend, though nominal values increased more sharply (Fig.
BRICS10 Pharmaceutical Products Trade Trends: Nominal vs Real Values (2012–2023). Nominal and inflation-adjusted (real) import and export values for BRICS10 are shown from 2012 to 2023, using constant 2015 USD (US GDP deflator). Solid lines represent nominal values; dashed lines show real values (red for import, blue for export). Nominal trade values spiked after 2020, especially in 2021, but real values indicate a lower trajectory—revealing inflation’s impact on absolute scale but not structural trends.
Nominal import values rose from approximately $43.8 billion in 2012 to $83.8 billion in 2023, while the inflation-adjusted import value for 2023 was only $66.7 billion. Similarly, nominal export values increased from about $19.6 billion in 2012 to $37.9 billion in 2023, whereas the real export value for 2023 stood at roughly $30.2 billion.
These findings confirm that inflation in recent years has significantly inflated the absolute scale of pharmaceutical trade values, without distorting the underlying dynamics. The overall trends observed from 2012 to 2023—such as the timing and direction of shifts—remain consistent across both nominal and real terms.
To assess the reliability and potential biases of mirror statistics, we empirically compared Iran’s and Russia’s official pharmaceutical trade data from 2013 to 2021 with corresponding mirror-based estimates. Mirror statistics refer to trade flows reported by partner countries; for example, a partner country’s exports to Iran are interpreted as Iran’s imports, while imports from Russia by other countries are used as proxies for Russia’s exports.
Official trade data for Iran and Russia from 2013 to 2021 were retrieved from the United Nations Comtrade database using the same methodology described in the main text (HS Code 30; Reporters set to Iran and the Russian Federation, Partners set to All; Trade Flow including both Export and Import), and are included in Supplementary Table . Corresponding mirror data for these same years were constructed by identifying relevant trading partners and reclassifying their reported flows (imports as exports and vice versa). These mirror-based values are compiled in Supplementary Table 6.
All datasets used in this analysis—including both official and partner-reported flows—were downloaded from the ComtradePlus portal on 24 June 2025. The years 2013 to 2021 were selected because both countries submitted complete records, enabling a direct comparison between officially reported and mirror-estimated trade values. Insights from this comparison informed the broader methodology used to impute missing values for Iran (2012, 2023) and Russia (2022, 2023) in the main analysis.
Fig.
Iran and Russia’s Pharmaceutical Products Trade: Official vs Mirror Data (2013–2021). Official (solid) and mirror (dashed) trade values are shown for Iran and Russia across four flows: exports and imports for each country, in billions of USD. Mirror data consistently underestimate official values, especially for exports, yet broadly reflect trade movement trends. This supports their cautious use in imputing missing values and trend analysis.
Across all flows, mirror data consistently underestimated official trade values—particularly for exports. This underestimation is most notable in Russia’s exports, where the 2021 peak is recorded in the mirror series but at a lower magnitude. Nonetheless, the mirror data align well with overall trade movement directions such as surges and turning points, supporting their utility in capturing the general trajectory of trade trends even where absolute values diverge.
For imports, mirror estimates were systematically lower than official values for both countries. This pattern aligns with established valuation differences: official import data are typically reported on a CIF (Cost, Insurance, and Freight) basis, while mirror import values—based on partners’ export data—reflect FOB (Free on Board) values, which exclude shipping and insurance. For Iran, the official-to-mirror import ratio ranged from 1.14 to 1.81 (mean: 1.33); for Russia, from 1.07 to 1.17 (mean: 1.11), indicating a relatively stable level of discrepancy.
Export data showed wider divergences. Iran’s official-to-mirror export ratios ranged from 0.93 to 2.36 (mean: 1.54), and Russia’s from 1.09 to 1.67 (mean: 1.39). Since mirror export values are derived from partners’ import records, which are CIFbased, they would theoretically exceed the corresponding FOB-based official exports. The reverse trend observed here—where mirror export values are lower—points to potential issues such as underreporting, data coverage gaps, or asynchronous reporting cycles. Despite these limitations, mirror export data successfully reflect the broad patterns of trade evolution, including the surge in Russia’s exports in 2021.
However, caution is warranted when using mirror data to impute terminal-year values, particularly in analyses involving compound annual growth rate (CAGR) calculations. When the final year of a time series is based on imputed mirror data, even small distortions can compound over the entire calculation period, potentially overstating or understating long-term trends. In this study, the use of mirror data for Russia’s 2022–2023 and Iran’s 2012 and 2023 trade values was deemed preferable to assigning zeros or omitting data entirely, but the potential for bias in derived indicators such as CAGR must be acknowledged. Future research and interpretations should account for this limitation, especially when comparing country-level trends with uneven data availability.