121 research outputs found
Northeast Ohio GRIDs Monitor
Groups of Regional Industry Drivers (GRIDs) were identified in Northeast Ohio (NEO). GRIDs are wealth-creating industries that have a strong regional specialization, growing output, rising productivity, and local competitive advantage. Overall, the three identified GRIDs—Professional Services, Growing Legacy Manufacturing, and Oil and Gas—contributed nearly 40% ($90.4 billion) to NEO’s total output and employed 20% (369,054 people) of NEO workforce in 2018. This research provides an update on the performance of GRIDs economy focusing on 2017-18 changes and projections for 2019. Calculations in this monitor are based on the data from Moody\u27s Analytics Economy.com
Practitioner Guidebook: Measuring Entrepreneurial Ecosystems
This study, with support from the Ewing Marion Kauffman Foundation, focuses on two major empirical questions: 1) Does the theoretical model established by Stangler and Bell-Masterson (2015) quantitatively hold for regions? Meaning, when the theoretical model is empirically evaluated, will the same data groupings emerge? and 2) What are the key indicators which entrepreneurs and the economic literature view as essential for entrepreneurial ecosystem vibrancy
Catching the Gazelle: Antecedents and Outcomes of High Growth Firms
This three-essay dissertation seeks to resolve some of the unanswered questions that exist about high-growth firms (HGFs). Paper I identifies the antecedents and outcomes of HGFs to better inform economic development policy. In explaining the theoretical and operational constructs of these concepts, a model of the situation of high-growth firms is developed, dubbed the Model of High Growth Firm Antecedents and Outputs. Antecedents to HGFs include an entrepreneurial mindset, firm strategic resources, and firm structural characteristics, while outputs of HGFs include regional innovation outcomes and regional economic outcomes. Paper II investigated the quantitative association between antecedents and outputs of HGFs. This paper used path analysis to test hypotheses within the Regional High-Growth Firm Antecedents and Outcomes Framework, and finds a strong positive association between most antecedents (human capital, startup capital, and business costs) and HGFs, a positive relationship between most antecedents and outcomes (employment and per capita income), and an association between HGFs and employment. Paper III establishes a typology of HGFs using cluster-discriminate analysis. Using a sample of 26,104 firms in the state of Ohio from the Quarterly Census of Employment and Wages, this paper finds that only a small portion of HGFs display high-growth characteristics described in the literature
Catching the Gazelle: Antecedents and Outcomes of High Growth Firms
This three-essay dissertation seeks to resolve some of the unanswered questions that exist about high-growth firms (HGFs). Paper I identifies the antecedents and outcomes of HGFs to better inform economic development policy. In explaining the theoretical and operational constructs of these concepts, a model of the situation of high-growth firms is developed, dubbed the Model of High Growth Firm Antecedents and Outputs. Antecedents to HGFs include an entrepreneurial mindset, firm strategic resources, and firm structural characteristics, while outputs of HGFs include regional innovation outcomes and regional economic outcomes. Paper II investigated the quantitative association between antecedents and outputs of HGFs. This paper used path analysis to test hypotheses within the Regional High-Growth Firm Antecedents and Outcomes Framework, and finds a strong positive association between most antecedents (human capital, startup capital, and business costs) and HGFs, a positive relationship between most antecedents and outcomes (employment and per capita income), and an association between HGFs and employment. Paper III establishes a typology of HGFs using cluster-discriminate analysis. Using a sample of 26,104 firms in the state of Ohio from the Quarterly Census of Employment and Wages, this paper finds that only a small portion of HGFs display high-growth characteristics described in the literature
Catching the Gazelle: Antecedents and Outcomes of High Growth Firms
This three-essay dissertation seeks to resolve some of the unanswered questions that exist about high-growth firms (HGFs). Paper I identifies the antecedents and outcomes of HGFs to better inform economic development policy. In explaining the theoretical and operational constructs of these concepts, a model of the situation of high-growth firms is developed, dubbed the Model of High Growth Firm Antecedents and Outputs. Antecedents to HGFs include an entrepreneurial mindset, firm strategic resources, and firm structural characteristics, while outputs of HGFs include regional innovation outcomes and regional economic outcomes. Paper II investigated the quantitative association between antecedents and outputs of HGFs. This paper used path analysis to test hypotheses within the Regional High-Growth Firm Antecedents and Outcomes Framework, and finds a strong positive association between most antecedents (human capital, startup capital, and business costs) and HGFs, a positive relationship between most antecedents and outcomes (employment and per capita income), and an association between HGFs and employment. Paper III establishes a typology of HGFs using cluster-discriminate analysis. Using a sample of 26,104 firms in the state of Ohio from the Quarterly Census of Employment and Wages, this paper finds that only a small portion of HGFs display high-growth characteristics described in the literature
Catching the Gazelle: Antecedents and Outcomes of High Growth Firms
This three-essay dissertation seeks to resolve some of the unanswered questions that exist about high-growth firms (HGFs). Paper I identifies the antecedents and outcomes of HGFs to better inform economic development policy. In explaining the theoretical and operational constructs of these concepts, a model of the situation of high-growth firms is developed, dubbed the Model of High Growth Firm Antecedents and Outputs. Antecedents to HGFs include an entrepreneurial mindset, firm strategic resources, and firm structural characteristics, while outputs of HGFs include regional innovation outcomes and regional economic outcomes. Paper II investigated the quantitative association between antecedents and outputs of HGFs. This paper used path analysis to test hypotheses within the Regional High-Growth Firm Antecedents and Outcomes Framework, and finds a strong positive association between most antecedents (human capital, startup capital, and business costs) and HGFs, a positive relationship between most antecedents and outcomes (employment and per capita income), and an association between HGFs and employment. Paper III establishes a typology of HGFs using cluster-discriminate analysis. Using a sample of 26,104 firms in the state of Ohio from the Quarterly Census of Employment and Wages, this paper finds that only a small portion of HGFs display high-growth characteristics described in the literature
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