Document Type

Presentation

Publication Date

9-25-2020

Research Center

Center for Economic Development

Abstract

About the Study

Model for understanding and predicting economic growth in U.S. mid-sized regional economies similar to Cleveland and NEO

Analyzed structural and policy-based factors and looked for outperformers - what can Cleveland learn about their public policies and programs?

Used a multi-stage process collecting 43 variables associated with regional growth, including educational attainment, business composition, regional assets, and quality of life

The mid-sized regional economies analyzed encompass 135 metro areas, and includes populations spanning from 352,823 to 3.9 million

Used factor analysis as a data-reduction technique to identify factors influencing growth in mid-sized regional economies:

*Innovation and Talent
*Entrepreneurship in High Cost Areas
*New Residential Centers
*Retirement Destinations
*Polarization

Used regression analysis to determine the relationship between these factors and regional growth in employment, gross regional product (output), and per capita income

COinS