What is the total local economic impact of sustained workforce investment on Hawaiʻi Island when earnings gains are recirculated through the local economy, compared with no intervention?

Workforce Understory Episode: Episode Four — Mobility Through Lifelong Learning
Geography: Hawaiʻi County
Topic: STARs, upskilling, local economic impact, and regional economic development

 

The takeaway

This modeled scenario builds on the projected earnings gains generated by an annual workforce investment supporting Hawaiʻi Island STAR workers into higher-wage roles.

Applying a 1.4 local economic multiplier, the model estimates that those additional earnings could produce approximately $500 million in cumulative local economic activity by 2036.

The projected impact accelerates after 2032. Each new cohort begins earning more while gains from workers supported in earlier years continue circulating through the economy.

The model suggests that helping workers earn more could benefit not only participating households, but also the local businesses and communities where those additional earnings are spent.

What this visualization shows

This visualization compares cumulative economic activity on Hawaiʻi Island under two scenarios from 2027 through 2036:

  • Economic activity without the modeled workforce investment

  • Economic activity with sustained annual investment in upskilling and higher-wage employment

The model begins with the additional worker earnings projected in the previous visualization. It then applies a 1.4 local economic multiplier to estimate the broader effect as a portion of those earnings is spent and recirculated within Hawaiʻi Island’s economy.

A multiplier of 1.4 assumes that each dollar of additional earnings generates approximately 40 cents in additional economic activity beyond the worker’s initial income. That secondary activity could occur when households spend more at local businesses, those businesses purchase additional goods and services, or employers and workers receiving that revenue spend part of it again.

The impact grows more quickly in the later years because successive worker cohorts contribute simultaneously. Workers supported early in the model are assumed to continue generating higher earnings and associated local spending while new cohorts begin producing gains of their own.

This is a prospective economic model rather than a record of observed impact.

Its results depend on the assumptions used in the underlying earnings projection and on how much additional income is actually spent within Hawaiʻi Island. The projected $500 million represents estimated cumulative economic activity, not public revenue, business profit, or a guaranteed return to the organization funding the intervention.

 
 

Why this matters

The economic value of upskilling does not end with the individual worker’s paycheck.

When a worker earns more, that income may support housing, food, childcare, transportation, healthcare, education, and purchases from local businesses. Those expenditures can create revenue for other employers and earnings for other workers.

On Hawaiʻi Island, that recirculation could be particularly meaningful.

The island has historically faced a limited supply of living-wage jobs and substantial economic leakage when residents purchase goods and services produced elsewhere. Increasing local earnings could strengthen the regional economy, but the magnitude of the benefit depends on where and how those earnings are spent.

If higher-paid workers purchase primarily local goods and services, more of the initial earnings gain may remain on-island and produce additional rounds of activity. If much of the spending flows toward imported products, off-island companies, housing owned by nonresident investors, or services unavailable locally, the realized multiplier may be smaller.

The industries employing upskilled workers also matter. A wage gain in a locally rooted business may circulate differently from a wage gain in an industry whose ownership, supply chains, and purchasing are concentrated elsewhere.

The visualization therefore makes a broader case for workforce investment while also revealing why upskilling should be connected to regional economic-development strategy.

Hawaiʻi Island must consider both sides of the equation: whether workers can secure and sustain higher wages, and whether the regional economy is structured to retain and recirculate the value those wages generate.

This evidence invites Hawaiʻi Island to ask:

How can workforce investment be connected to locally rooted industries so that rising worker earnings strengthen the island’s economy rather than quickly flowing off-island?


Evidence:
Questions this visualization helps answer

  • How does the modeled local economic impact change with sustained workforce investment?

  • What local economic multiplier is applied to the additional worker earnings?

  • What does a 1.4 multiplier imply about the circulation of each additional dollar earned?

  • How much cumulative economic impact could the investment generate by 2036?

  • Why does the projected impact accelerate after 2032?

  • How do earlier and later worker cohorts contribute simultaneously to the cumulative result?

  • How does the economic-impact projection build on the earnings model presented in the previous visualization?

  • What is the difference between direct earnings gains and broader local economic activity?

  • Why can higher worker earnings affect households and businesses beyond the workers directly supported?

 
 

Curiosity:
Questions this visualization raises

  • What is the source of the 1.4 economic multiplier? Is the multiplier based specifically on Hawaiʻi County’s economy?

  • How does Hawaiʻi County’s multiplier compare with those of Honolulu, Maui, and Kauaʻi counties?

  • Do different industries have different local multipliers?

  • Would Construction, Healthcare, Technology, Hospitality, and public-sector employment generate the same level of local recirculation?

  • How much of each additional dollar earned is assumed to be spent on Hawaiʻi Island?

  • How much spending is expected to flow off-island through imported goods, online purchases, taxes, savings, or nonlocal ownership?

  • Is the multiplier based on observed Hawaiʻi Island spending patterns or a broader economic assumption?

  • Does the model account for inflation?

  • Does it distinguish new economic activity from spending that would have occurred elsewhere without the intervention?

  • What assumptions from the underlying earnings model have the greatest effect on the $500 million projection?

  • How would the impact change if workers sustained only part of the projected wage gain?

  • What happens if fewer than 875 workers achieve higher earnings each year?

  • Does the model account for workers who leave Hawaiʻi Island after receiving training?

  • Are the projected economic gains retained if workers relocate elsewhere in Hawaiʻi?

  • Which sectors are expected to absorb the upskilled workers?

  • Do those sectors purchase goods and services from local suppliers?

  • Are the employers locally owned, or does part of the economic benefit flow to owners outside Hawaiʻi?

  • Which types of household spending generate the greatest local recirculation?

  • Could limited housing supply cause additional earnings to raise housing costs rather than expand real economic opportunity?

  • How much of the projected activity would result in additional local tax revenue?

  • Would stronger local demand create new jobs for workers beyond those directly supported?

  • Could increased demand create labor shortages or price pressures in other parts of the economy?

  • Which investments in local supply chains would increase the share of earnings retained on-island?

  • How should workforce and economic-development strategies be coordinated to maximize local benefit?

  • What indicators should be tracked to determine whether additional earnings are actually recirculating within Hawaiʻi Island?

  • How should decision-makers distinguish cumulative economic activity from a formal fiscal or social return on investment?


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Where are STAR job postings concentrated across Hawaiʻi Island industries, and how does that distribution map onto the opportunity classification framework?

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What is the cumulative earnings impact of sustained annual workforce investment on Hawaiʻi Island over a 10-year period, and how do the additional earnings from upskilling compound over time?