CEDBR Fiscal Benefit-Cost Model 2010 - 2011 Kasey Jolly, Senior Research Economist Center for Economic Development and Business Research Wichita State.

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Presentation transcript:

CEDBR Fiscal Benefit-Cost Model Kasey Jolly, Senior Research Economist Center for Economic Development and Business Research Wichita State University

History of Model Development  Court of Tax Appeals (COTA) requires analysis for tax abatements and IRBs  State model developed and funded by Kansas Inc. and Kansas League of Municipalities in 1993, but not kept up-to-date  GWEDC provided funding for development of new model

Why was the new model developed?  Old model outdated  SIC not NAICS  Other limitations  Allow greater flexibility  Local technical support  Available for use throughout ED process

Two Versions of the Model DESKTOP MODELFULL MODEL  Given to regional partners  Returns output for City and County  User Friendly  CEDBR - $600 fee to run the model  Returns output for City, County, State and School District  Created to be flexible; therefore, more complex than Desktop model

Data Provided by CEDBR: Community Data  Tax rates  Mill levy rates  Budget information  Number of residents  Number of employed residents  Avg. market value of new residential property  Avg. wage all jobs  LOB (local option budget) mill levy rate  LOB percentage of general budget  Capital outlay mill levy rate  Number of students  General Fund Budget

Multipliers  Calculated by the US Dept. of Commerce, BEA  Measure the impact of business operations on other businesses in the community  Measure the impact of payroll expenditures on other businesses in the community  Direct, Indirect and Total jobs/and or payroll

Worker Spending Patterns  A major source of revenue for taxing jurisdictions is retail sales taxes  To account for these revenues, we must know what percentage of a company’s sales and purchases are subject to sales tax; it is also necessary to estimate these percentages for company employees/payroll  Captured retail sales  County – “County Pull Factors” (KSU)  City – city pop. is divided by county pop.  State – the model assumes 100% is subject to tax

Substitution  Individual industries (each NAICS) have been given a predetermined substitution rate  Rates were based on the nature of the industry:  We have two types of industry: Base – brings outside dollars in Support – reshuffles existing dollars Base industries and support industries may look very different from one community to the next.  In addition, specialization within the industry – specifically skill sets – impact substitution rates

Data Needed from Company  NAICS code  Capital investment  Land, buildings, machinery and equipment  Number of new jobs  Average wages of new jobs  Firm payments to the city or county

Data Needed from Community: Incentives  Dollar value of incentives by type and taxing jurisdiction  Tax abatement (years/percentage)  Forgivable loan  Training dollars  Infrastructure improvement  Cash value of all other incentives

Print Out Sheet  Project summary  Incentive summary  Tax abatement parameters  Construction impact  Substitution  Firm multipliers  Economic impact of firm operations

Fiscal Impact – Presented Using 3 Measures Return on investment Benefit Cost Ratio Net Present Value BENEFITS COSTS  Property Taxes  Retail Sales Taxes  Transient Guest Taxes  Other Fees & Taxes  Incentives  Cost of providing city/county services

Limitations  Quantitative vs. Qualitative  Relies on information given to us  The desktop version purposely underestimates benefits to the community  Depending on the situation, can under- or over- estimate impacts  Example – large capital expenditure with tax abatement may outweigh benefits seen from new jobs