81 research outputs found
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
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
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
Molding: A Summary of the Literature
The Center for Economic Development at the Levin College of Urban Affairs at Cleveland State University prepared this report for the Ohio Manufacturing Institute (OMI) at The Ohio State University. The objective of this study is to provide background analysis of the plastic and polymer molding industry for the OMI as they prepare a roadmap for the future and recommendations concerning this industry for the Ohio Development Services Agency (ODSA). This report provides a literature review and summary of findings.
Literature was collected and reviewed from various sources on the plastic and polymer molding industry. Academic articles, reports, and studies were collated and analyzed from databases, internet searches, and publications. The goal of this report is to provide a clear context of the state, national, and international conversation on the molding industry, as well as to delineate opportunities and challenges as it related to this technology. The focus of this report is on the plastic and polymer molding industry as well as its supply chain (both forwards and backwards)
Economic Impact of Green Infrastructure Maintenance
The Center for Economic Development (the Center) at the Levin College of Urban Affairs at Cleveland State University prepared this report for LAND studio. The objective of this report is to present an economic impact of the green infrastructure maintenance of the future green infrastructure investments that the Northeast Ohio Regional Sewer District (NEORSD) will undertake. LAND studio will use this study as a component to a broader study of best practices in green infrastructure maintenance, the needs of the sector, and to develop a foundation for the creation of a green infrastructure maintenance education and workforce training program.
The report contains two sections: the first section includes the creation of the green infrastructure maintenance estimates, and the second details the economic impact of the green infrastructure maintenance estimates. The Center’s estimates of the green infrastructure maintenance are of a five year period (2020-2024) for the Cleveland-Elyria-Mentor Metropolitan Statistical Area (MSA). In the next section, the Center estimates the economic impact of this industry using the IMPLAN software.
Traditional storm water management, also known as grey infrastructure, uses a network of sewers and pipes to collect and treat sewage and storm water so that it may be returned as clean water. Green infrastructure, on the other hand, is an environmentally friendly waste water cleaning technique that uses vegetation and soil to manage rainwater. Green infrastructure, also known as Best Management Practices (BMP) and Low Impact Development (LID), can take many forms. The green infrastructure that this report examines is that of bioretention ponds, defined as vegetated areas that are planted with native plants to collect and treat water runoff.
It is not only the implementation and construction of green infrastructure that is important to consider, but it is also key to examine the maintenance and upkeep of these areas. It has been suggested that green infrastructure maintenance can create jobs in many cities since the maintenance of green infrastructure requires more manual labor and less heavy equipment than traditional storm water facilities
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