Global Trade Competitiveness and Benchmarking Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Trade Policy Analysts, Export Promotion Managers and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-EE-044

Before you join: Participants should be comfortable reading tables, percentages, growth rates and basic economic indicators.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Trade competitiveness decisions often rest on headline export growth, market share or anecdotal comparisons with neighbouring countries. These measures can conceal concentration risk, weak product positioning, high trade costs, declining market access or growth driven by global demand rather than national performance. Trade ministries, export agencies, banks, development institutions and multinational firms need defensible evidence on where a country, sector or product stands against credible peers and where investment, policy or commercial action can produce measurable results.

This course teaches participants to measure and benchmark trade competitiveness using recognised trade indicators, bilateral data and structured comparison methods. Participants calculate revealed comparative advantage, assess export concentration, interpret unit values, evaluate market access barriers, identify trade potential and compare performance against peer economies. The course also examines gravity-model logic, value-chain participation, export sophistication, trade facilitation and policy coherence. Participants learn to distinguish structural constraints from factors that can be addressed through export promotion, investment, standards improvement, logistics reform or supplier development.

Teaching combines short technical briefings, guided analysis of international trade datasets, sector cases, group interpretation of benchmark results and reporting workshops. Cases can be adapted to the priorities of the cohort, including manufactured exports, agricultural trade, energy products, financial services, regional integration or export diversification. Participants leave with a completed trade competitiveness benchmarking pack containing indicator definitions, data sources, peer comparisons, opportunity priorities, risk flags and an implementation roadmap.

The course is suited to professionals who already work with trade, economic development, market intelligence, investment, strategy, policy or international business data. It is particularly useful where teams must justify export priorities, assess country competitiveness or present evidence-based recommendations to senior decision-makers.

What you will be able to do

  • Calculate revealed comparative advantage and revealed symmetric comparative advantage indices
  • Clean, reconcile and document bilateral trade data from UN Comtrade
  • Benchmark export performance against selected peer economies using percentile ranks
  • Assess product and destination concentration using Herfindahl-Hirschman and entropy measures
  • Evaluate tariffs, non-tariff measures and landed-cost barriers affecting market access
  • Interpret gravity-model trade potential estimates and their analytical limitations
  • Identify value-chain participation, export sophistication and feasible diversification opportunities
  • Produce an executive trade competitiveness dashboard and prioritised action roadmap

Benefits of attending

For you

  • A defensible method for comparing national, sectoral and product trade performance
  • Practical confidence interpreting revealed comparative advantage and trade concentration indicators
  • Stronger evidence for export market, investment and policy recommendations
  • Reusable techniques for diagnosing market access and landed-cost constraints
  • A structured reporting approach for senior trade, finance and policy stakeholders

For your organisation

  • More consistent trade competitiveness assessments across markets, products and business units
  • Better targeting of export promotion, supplier development and investment attraction budgets
  • Clearer identification of concentration risks in product and destination portfolios
  • Evidence-based prioritisation of trade facilitation and market-access interventions
  • Stronger management reporting on trade performance, peer gaps and implementation progress

Course modules

10 modules over 5 days

Participants can define trade competitiveness and select indicators suited to a decision question.

  • Competitiveness distinguished from comparative advantage, productivity, export performance and market share
  • Results framework linking trade objectives, indicators, baselines, targets and accountability
  • Trade competitiveness scorecards balanced across scale, growth, quality, diversification and resilience
  • Unit values interpreted as proxies for export quality and product positioning
  • Constant-market-share analysis separates structural effects from country competitiveness effects
  • Indicator selection tests relevance, comparability, timeliness, transparency and decision usefulness

Participants can prepare trade data suitable for credible bilateral and product-level analysis.

  • UN Comtrade records filtered by reporter, partner, product, flow and period
  • HS nomenclature levels selected to match analytical purpose and data reliability
  • Mirror statistics reconcile reporting gaps using partner-reported imports and export values
  • FOB, CIF and valuation differences adjusted before bilateral trade comparisons
  • Outlier checks identify re-exports, currency breaks, missing values and implausible growth
  • Metadata documents source, revision date, classification, transformations and known limitations

Participants can calculate and interpret comparative advantage measures for export products.

  • Balassa revealed comparative advantage calculates product specialisation relative to world exports
  • RCA thresholds interpreted alongside export scale, persistence and concentration
  • Lafay index separates bilateral trade specialisation from aggregate trade balances
  • Revealed symmetric comparative advantage corrects asymmetric RCA index interpretation
  • Product-space proximity identifies feasible diversification from existing export capabilities
  • Comparative advantage findings translated into product-country opportunity shortlists

Participants can assess export portfolio concentration and identify diversification priorities.

  • Herfindahl-Hirschman Index quantifies product and destination concentration
  • Shannon entropy measures export variety and distribution across categories
  • Extensive and intensive margins separate new markets from deeper sales
  • Survival analysis tracks export relationships beyond initial market entry
  • Destination portfolio matrices compare growth, share, risk and accessibility
  • Concentration risk thresholds linked to contingency actions and diversification priorities

Participants can assess the commercial effects of tariffs, non-tariff measures and trade costs.

  • Applied tariff schedules distinguish MFN, preferential and tariff-rate quota treatment
  • Ad valorem equivalents estimate protection from specific and mixed duties
  • Rules of origin assessed against sourcing patterns and documentation capacity
  • Non-tariff measures classified using UNCTAD MAST categories and incidence ratios
  • Trade facilitation indicators identify border delays, documentation costs and procedural bottlenecks
  • Landed-cost comparisons combine tariffs, freight, insurance, taxes and compliance expenses

Participants can compare trade performance against relevant peer economies using normalised metrics.

  • Peer economies selected through income, geography, factor endowments and export structure
  • Benchmarking protocols fix indicators, periods, sources, normalisation and peer definitions
  • Z-scores and percentile ranks compare performance across differently scaled indicators
  • Traffic-light dashboards distinguish material gaps from normal peer variation
  • Frontier benchmarking identifies attainable performance using top-quartile comparator results
  • Benchmark narratives separate policy controllables from structural constraints and external shocks

Participants can interpret gravity-model outputs when assessing bilateral trade potential.

  • Gravity models explain bilateral trade through economic size, distance and frictions
  • Log-linear gravity specifications diagnose omitted variables and zero-trade observations
  • Fixed effects control exporter, importer and year-specific unobserved influences
  • Trade potential ratios compare actual flows with model-predicted bilateral exports
  • Scenario assumptions quantify prospective tariff reductions, distance changes and income growth
  • Model results qualified by endogeneity, data limitations and coefficient uncertainty

Participants can identify value-chain participation patterns and export upgrading options.

  • OECD TiVA concepts distinguish gross exports from domestic value added
  • Backward and forward participation measure imported inputs and supplier linkages
  • Input-output tables trace sectoral dependencies, spillovers and foreign content
  • Export sophistication measures compare product income content and upgrading trajectories
  • Value-chain governance assesses buyer requirements, standards, power and upgrading options
  • Supplier development priorities align capabilities, certification gaps and buyer demand

Participants can assess trade competitiveness interventions against costs, risks and expected results.

  • Trade policy instruments mapped to competitiveness constraints, fiscal costs and beneficiaries
  • Cost-benefit analysis tests infrastructure, export promotion and standards investments
  • Results chains specify inputs, outputs, outcomes, assumptions and indicators
  • SMART targets set baselines, milestones, owners, budgets and review dates
  • Policy coherence checks identify conflicts among trade, industrial, tax and climate measures
  • Risk registers cover retaliation, preference erosion, supply disruption and fiscal exposure

Participants can communicate benchmark findings and prepare a focused implementation plan.

  • Executive trade dashboards present indicators, comparisons, thresholds, sources and implications
  • Waterfall charts explain changes in export value, price, volume and composition
  • Benchmarking reports distinguish evidence, interpretation, recommendations and implementation ownership
  • Prioritisation matrices score opportunities by attractiveness, feasibility, risk and resource requirements
  • Implementation roadmaps sequence data improvements, market actions, policy changes and reviews
  • Personal application plans assign immediate analyses, stakeholders, deadlines and success measures

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Trade competitiveness indicator dictionary
  2. UN Comtrade data preparation checklist
  3. Peer economy benchmarking dashboard template
  4. Export concentration and diversification analysis model
  5. Market-access and landed-cost assessment template
  6. Trade competitiveness implementation roadmap

Who should attend

  • Trade Policy Analysts — need evidence for export, industrial and market-access recommendations
  • Export Promotion Managers — need to target products, markets and exporter support resources
  • Economic Development Officers — need to compare regional or national competitiveness drivers
  • Market Intelligence Managers — need structured methods for country and sector trade analysis
  • Investment Promotion Specialists — need to identify value-chain gaps and investment priorities
  • Banking and Development Finance Professionals — need to assess export-sector prospects and risks

Skills and tools covered

Trade data analysisCompetitiveness benchmarkingExport diversificationMarket access assessmentGravity model interpretationTrade policy evaluation

Tools and standards

UN Comtrade, Balassa Revealed Comparative Advantage Index, Trade Complementarity Index, Gravity Model of Trade

How the course runs

Training methodology

The course uses short instructor briefings to introduce indicators, data choices and analytical assumptions. Participants work with trade tables, country comparisons and sector cases to calculate measures and interpret results. Group exercises test peer selection, concentration analysis, market-access assessment and benchmarking narratives. A trade-policy simulation examines competing intervention choices under budget and risk constraints. Each participant develops an application plan for a current country, sector, product portfolio or export-market question.

Requirements and prerequisites

Participants should be comfortable reading tables, percentages, growth rates and basic economic indicators. Prior exposure to international trade, market research, economics, finance, public policy, export development or commercial strategy is useful. Participants should also be able to work with spreadsheet data, including sorting, filtering and simple formulas. The course explains the required trade concepts and does not assume prior use of UN Comtrade, econometric software, gravity models or advanced statistical programming. Formal qualifications in economics or econometrics are not required.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should understand percentages, growth rates and basic spreadsheet operations. Experience with trade, economics, export development, market research or policy is useful, but prior econometric modelling experience is not required.

Bring a laptop with spreadsheet software and, where permitted, a current trade question, sector priority or export-market issue. Participants may use their own data where confidentiality requirements allow, although course datasets are provided.

The course suits trade policy analysts, export promotion teams, economic development professionals, market intelligence staff, investment promotion specialists and development finance professionals. It also suits managers who commission or review trade competitiveness studies.

This course focuses on applied measurement, peer benchmarking and decision-ready reporting rather than trade theory alone. It uses econometric concepts such as gravity models, but concentrates on interpreting outputs for trade, investment and policy decisions.

Participants can assess export portfolios, compare countries or regions, identify product-market opportunities and test market-access constraints. The templates can support recurring quarterly reviews, sector diagnostics, investment cases and export strategy updates.

Training runs from 08:30 to 16:30 each day, providing approximately 6.5 contact hours daily. Time is allocated to trade measurement, data preparation, comparative advantage, benchmarking, market access, trade potential, value chains, policy assessment and reporting.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.

Ask on WhatsApp info@skillsetdevelopment.com

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