Economic Impact Analysis: The Ultimate Guide
Supplier diversity programs generate far more value than a spend percentage can capture. This guide breaks down how economic impact analysis works, the metrics it measures, and how to translate supplier spend into jobs, wages, and tax figures that hold up in any room.
Most supplier diversity leaders can tell you exactly how much their organization spends with diverse suppliers. Far fewer can tell you what that spend actually does — the jobs it supports, the wages it generates, the tax revenue it creates. That gap is a problem. When budgets tighten or program value gets questioned in the boardroom, a spend percentage alone rarely holds up as a defense. What does hold up is a credible, quantified story about economic impact: one that connects every dollar of supplier spend to measurable outcomes in the real economy.
This guide breaks down exactly what an economic impact analysis is, when to commission one, how it works, and what it takes to do it right, so you can move from reporting spend to proving value.
What Is an Economic Impact Analysis (EIA)?
An economic impact analysis (EIA) is a structured methodology for measuring the total economic activity generated by a specific project, program, or spending decision, including the ripple effects that extend beyond the initial transaction into the broader regional economy, whether the study area is a small town or an entire country. An economic impact study is specifically used to estimate the total dollars, jobs, and income generated by a new activity in a local economy.
When to Use an Economic Impact Analysis
Organizations commission EIAs across a wide range of situations. Common use cases include:
- Securing grants, funding, or tax incentives: Demonstrating that a project will generate sufficient economic activity to justify public or private investment and often to gain regulatory approval
- Justifying capital investment: Building a business case for a new facility, supplier program, or sourcing initiative
- Informing or advocating for policy and regulation: Providing legislators, regulators, and other decision makers with data on how proposed changes will affect jobs, wages, and tax receipts
- Quantifying the value of events, tourism, or real estate: Measuring the economic contribution of a stadium, convention, university, or development project to the surrounding community
- Site-selection decisions: Evaluating the economic footprint a company would generate by choosing one location over another
Unlike cost benefit analysis, which compares project costs against quantified economic benefits and is more focused on project efficiency than regional effects, an EIA measures how activity flows through a local or regional economy.
For supplier diversity, supplier inclusion, and responsible sourcing leaders specifically, the EIA serves a distinct purpose: translating supplier spend into the economic-impact metrics that executives, government partners, and community stakeholders actually want to see.
Core Components of Economic Impact: Direct, Indirect, and Induced Effects
A single dollar of spending rarely stays in one place. When an organization makes a purchase, that money moves through suppliers, into payroll, out into the local economy, and generates successive waves of economic activity. An economic impact analysis is built to capture all of those waves, not just the first one. This ripple effect is known as the multiplier effect, and it’s what separates a full EIA from a simple spend report.
To see how it works in practice, consider this example throughout the following sections: a regional healthcare system awards a $2 million services contract to a certified diverse supplier based in the same metropolitan area.
Direct Impact
The direct impact is the initial, immediate economic activity — the spending and jobs created by the project itself. In the example, direct impact includes the $2 million payment to the supplier, the wages paid to the supplier’s employees delivering that contract, and any equipment or materials the supplier purchases to fulfill the work. Direct impact (also called the direct effect) is the most straightforward figure to measure and serves as the foundation for everything that follows.
Indirect Impact
The indirect impact captures the business-to-business activity triggered when the directly affected businesses make their own purchases. The diverse supplier doesn’t absorb that $2 million contract revenue in isolation — it pays subcontractors, buys software, leases additional office space, and hires accounting support. Those purchases, in turn, generate activity for the businesses receiving them. This supplier chain activity is the indirect effect, and it can be substantial in industries with complex supply relationships.
Induced Impact
The induced impact reflects what happens when the workers across both direct and indirect tiers spend their wages in the local economy. The supplier’s employees use their paychecks to pay rent, buy groceries, visit the doctor, and take their families to dinner. Each of those transactions generates activity for local businesses — and those businesses’ employees, in turn, spend their wages. This household spending cycle is the induced effect.
Direct + indirect + induced impacts = total economic impact. An EIA is valuable precisely because it accounts for all three, not just the contract value that triggered the chain.
Examples of Economic Impact Reports
Real-world economic impact reports show these concepts translated into hard numbers. The following published reports demonstrate how leading organizations quantify their supplier diversity programs across output, jobs, wages, and tax contributions:
Each of these reports applies the direct, indirect, and induced framework to real supplier spend data and produces figures that program leaders can present with confidence to executives, procurement committees, and community stakeholders.
Key Metrics Measured in an Economic Impact Analysis
An EIA report summarizes impact across several standard indicators, typically presented from broadest to most conservative. Understanding the difference between them matters: the narrower measures are designed to avoid double-counting, which is a real risk when tracking spending that flows through multiple hands.
Economic Output
Economic output (sometimes called total output) is the broadest measure: the total value of sales and production recorded across the regional economy as a result of the activity. It’s the largest number in any EIA, but also the least precise. Because businesses spend a significant portion of their revenue on inputs (materials, labor, services), output includes a lot of double-counted activity. It’s useful for communicating the full scale of economic activity generated, but should always be paired with more conservative measures.
Value Added (GDP Contribution)
Value added — the equivalent of a project’s contribution to gross regional or domestic product — is a more conservative and widely respected measure than output. It strips out intermediate costs (what businesses paid for their own inputs) and counts only the net contribution of each stage of production. For this reason, value added is often the headline figure in rigorous economic impact reports.
Labor Income
Labor income measures the wages, salaries, and benefits earned by workers as a result of the activity across all three impact tiers. For supplier diversity leaders, this is often the metric with the strongest community narrative because it directly answers the question: “How much did this program put in workers’ pockets?”
Employment (Jobs)
Employment impact is typically expressed in full-time equivalent (FTE) terms, capturing both jobs directly created by the project and jobs supported across the indirect and induced tiers. An important distinction: net new jobs (positions that would not have existed otherwise) versus total jobs supported (including existing positions sustained by the spending). Well-constructed EIAs are explicit about which figure they’re reporting.
Tax Revenue
Tax revenue captures the federal, state, and local tax contributions generated across all tiers of economic activity. For organizations with federal contracting obligations or community investment commitments, this figure is particularly relevant because it quantifies the public return on supplier spend and answers a question that government stakeholders increasingly ask.
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Get my EstimateHow to Do an Economic Impact Analysis: Step-by-Step Methodology
Running a rigorous EIA requires more than a multiplier and a spreadsheet. Here’s how the methodology works, step by step.
1. Define the Activity, Scope, and Geographic Region
Start by clearly defining what is being analyzed (a contract, a program, a project, a facility) and where. Geographic scope matters enormously: the smaller and more specific the region, the more “leakage” you’ll capture (spending that flows outside the area), and the more accurate the impact estimate. Choosing a region that is too large (for example, the entire United States for a local supplier contract) systematically overstates impact by assuming all spending stays in the economy.
2. Establish the Baseline/Counterfactual
Before measuring impact, determine what economic activity would exist without the event or program. This baseline, sometimes called the counterfactual, is what makes the analysis credible. Without it, you risk attributing economic activity that would have occurred anyway, inflating your results and undermining confidence in the findings.
3. Gather Direct-Effect Data
Collect the spending amounts, employment figures, wages, and industry codes associated with the direct activity being analyzed. This is frequently the hardest step, and the most consequential. Inaccurate or incomplete direct-effect data will compound through the multiplier model, making clean, verified spend data the single most important input in the entire analysis. In supplier diversity programs, this means having accurate, supplier-level spend data organized by industry classification.
4. Apply Multipliers Through a Model
With direct-effect data in hand, apply an input-output or simulation model to translate direct spending into indirect and induced effects using region- and industry-specific multipliers. The model calculates how much of each dollar spent in a given industry stays in the local economy and cycles through successive tiers of activity. The choice of model significantly affects the precision and credibility of the results.
5. Account for Displacement, Then Validate
Before finalizing results, net out any displacement: economic activity that didn’t represent new spending, but rather spending that shifted from one business or location to another. Then run a sensitivity analysis to test how results change under different assumptions, and document all assumptions, the time period covered, and data sources. Transparent documentation is what separates a defensible EIA from one that won’t survive scrutiny.
Economic Analysis Models
The accuracy of indirect and induced estimates depends heavily on the model used. Running a rigorous EIA in-house requires specialized tools, substantial data, and meaningful technical expertise, which is why many organizations rely on purpose-built platforms to generate and validate their impact numbers.
Input-Output (I-O) Analysis
Input-output analysis is the dominant methodology for economic impact studies. I-O models use inter-industry tables to map how a change in spending in one industry flows through purchases to other industries, and how much of those purchases are sourced locally versus imported from outside the region. Multipliers are derived from these tables and applied to direct-effect data to estimate total impact.
The key limitations of I-O models are worth understanding: they are static (the economy doesn’t restructure in response to the event being analyzed) and assume fixed prices (meaning they don’t account for wage inflation from labor shortages or other market adjustments). They capture a snapshot in time rather than a dynamic forecast, which is appropriate for many use cases but less suitable for long-term planning questions.
Econometric and Simulation Models
More complex general-equilibrium and econometric models build on the I-O foundation and add the ability to forecast future economic and demographic change. These models are better suited to long-term, dynamic questions (such as the projected impact of a 10-year infrastructure investment), but come with significantly higher cost and technical complexity. Organizations using these models typically work with specialized economic consulting firms.
Measure the Economic Impact of Your Supplier Program with Supplier.io
Supplier.io is a supplier intelligence and diversity platform that helps procurement and supplier diversity teams move beyond spend percentages to a credible, quantified impact story that they can defend to executives, government partners, and community stakeholders.
The platform maps directly to the EIA workflow described in this guide:
- Economic Impact: Turns supplier spend into jobs, wages, and tax-contribution figures using proven economic modeling, so program leaders can report impact in the language of finance and policy rather than procurement.
- Spend Analytics: Provides the clean, real-time spend data that feeds the analysis, with visibility into performance against diversity and ESG goals.
- Data Enrichment: Verifies supplier certifications and fills data gaps across more than 450 sources, keeping inputs, and the impact numbers that follow, reliable and audit-ready.
- Tier 2 Reporting: Extends impact measurement down to subcontractor spend, so the full reach of a program is captured, not just tier-1 contracts.
Turn Supplier Spend Into a Defensible Impact Story
Supplier.io helps procurement and supplier diversity teams quantify the jobs, wages, and tax contributions behind every dollar of diverse spend, so you can walk into any boardroom with numbers that hold up.
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