Moving Cleveland Above the Trend: Benchmarking Regional Performance (Presentation)

Iryna V. Lendel

Moving Cleveland Above the Trend: Benchmarking Regional Performance (Presentation)

Iryna V. Lendel

Research output: Contribution to conference › Presentation

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

Original language	American English
State	Published - Sep 25 2020

Keywords

economic development
economic analysis of cities and regions
economic development strategy and policy

Disciplines

Urban Studies and Planning

Access to Document

Moving Cleveland Above the Trend Benchmarking Regional PerformanFinal published version, 933 KBLicense: CC BY

Cite this

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title = "Moving Cleveland Above the Trend: Benchmarking Regional Performance (Presentation)",

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",

keywords = "economic development, economic analysis of cities and regions, economic development strategy and policy",

author = "Lendel, \{Iryna V.\}",

year = "2020",

month = sep,

day = "25",

language = "American English",

}

TY - CONF

T1 - Moving Cleveland Above the Trend: Benchmarking Regional Performance (Presentation)

AU - Lendel, Iryna V.

PY - 2020/9/25

Y1 - 2020/9/25

N2 - 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

AB - 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

KW - economic development

KW - economic analysis of cities and regions

KW - economic development strategy and policy

UR - https://engagedscholarship.csuohio.edu/urban_facpub/1676

M3 - Presentation

ER -

Moving Cleveland Above the Trend: Benchmarking Regional Performance (Presentation)

Abstract

Keywords

Disciplines

Access to Document

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