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The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation

David Pickernell Orcid Logo, Malcolm J. Beynon, Paul Jones Orcid Logo, David Pickernell

Journal of Business Research, Volume: 101, Pages: 675 - 687

Swansea University Authors: David Pickernell Orcid Logo, Paul Jones Orcid Logo

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DOI (Published version): 10.1016/j.jbusres.2019.01.074

Abstract

The purpose of this study is to consider the differing roles played by combinations of dimensions of entrepreneurship, innovation and geography (here - urbanity-diversity) on United States (US) state level growth, unemployment and income. Fuzzy-set Qualitative Comparative Analysis (fsQCA) forms the...

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Published in: Journal of Business Research
ISSN: 0148-2963
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa49027
first_indexed 2019-02-28T20:02:28Z
last_indexed 2021-01-20T04:10:06Z
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Fuzzy-set Qualitative Comparative Analysis (fsQCA) forms the primary methodology to investigate these potential roles. One important developmental feature of the analysis is the use of a novel fuzzy membership score creation process, undertaken to calibrate the considered condition and outcome variables. Moreover, fuzzy cluster analyses are undertaken, using the fuzzy c-means technique, on sets of constituent variables to produce sets of clusters interpretable to the relevant condition and outcome variables. A series of fsQCA investigations are undertaken across the different outcome variables of growth, unemployment and income. The main results of the study are that high growth entrepreneurship and innovation are key to economic growth but may require additional (though differing) supporting entrepreneurial activities and processes depending on the economic geography of the State. With regards to unemployment, it is Main Street Entrepreneurship that was consistently present for absence of unemployment causal-recipes and its absence in four of the five high unemployment causal-recipes, the absence of Urbanity-diversity was consistently shown in absence of unemployment causal-recipes and its present in three of the five high unemployment complex causal-recipes. For income, the presence of Innovation in all the high income causal-recipes and its absence in three of the four absence of income causal-recipes, Urbanity-diversity present in two of the three high income causal-recipes, and absent in three of the four absence of income causal-recipes. Overall, the results of the study suggest that for non urban-diverse states, the presence of Innovation, Growth Entrepreneurship and Main Street, and relative absence of start-up activity is of relevance in supporting positive growth, unemployment and income outcomes. For more urban-diverse states however, this combination of factors is less effective in generating positive outcomes across all three variables, suggesting trade-offs needing to be considered in these more complex economies. This study contributes to the theory of entrepreneurship and innovation by offering new insights into how different combinations of entrepreneurship, innovation and the urbanity-diversity affect growth, unemployment and income levels across different US states, consequently informing entreprenurship policy practice in terms of which policies work most effectively in which conditions. 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spelling 2021-01-19T11:14:36.6565637 v2 49027 2019-02-28 The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation 913bd73da00d7df4f5038f6f144b235e 0000-0003-0912-095X David Pickernell David Pickernell true false 21e2660aaa102fe36fc981880dd9e082 0000-0003-0417-9143 Paul Jones Paul Jones true false 2019-02-28 CBAE The purpose of this study is to consider the differing roles played by combinations of dimensions of entrepreneurship, innovation and geography (here - urbanity-diversity) on United States (US) state level growth, unemployment and income. Fuzzy-set Qualitative Comparative Analysis (fsQCA) forms the primary methodology to investigate these potential roles. One important developmental feature of the analysis is the use of a novel fuzzy membership score creation process, undertaken to calibrate the considered condition and outcome variables. Moreover, fuzzy cluster analyses are undertaken, using the fuzzy c-means technique, on sets of constituent variables to produce sets of clusters interpretable to the relevant condition and outcome variables. A series of fsQCA investigations are undertaken across the different outcome variables of growth, unemployment and income. The main results of the study are that high growth entrepreneurship and innovation are key to economic growth but may require additional (though differing) supporting entrepreneurial activities and processes depending on the economic geography of the State. With regards to unemployment, it is Main Street Entrepreneurship that was consistently present for absence of unemployment causal-recipes and its absence in four of the five high unemployment causal-recipes, the absence of Urbanity-diversity was consistently shown in absence of unemployment causal-recipes and its present in three of the five high unemployment complex causal-recipes. For income, the presence of Innovation in all the high income causal-recipes and its absence in three of the four absence of income causal-recipes, Urbanity-diversity present in two of the three high income causal-recipes, and absent in three of the four absence of income causal-recipes. Overall, the results of the study suggest that for non urban-diverse states, the presence of Innovation, Growth Entrepreneurship and Main Street, and relative absence of start-up activity is of relevance in supporting positive growth, unemployment and income outcomes. For more urban-diverse states however, this combination of factors is less effective in generating positive outcomes across all three variables, suggesting trade-offs needing to be considered in these more complex economies. This study contributes to the theory of entrepreneurship and innovation by offering new insights into how different combinations of entrepreneurship, innovation and the urbanity-diversity affect growth, unemployment and income levels across different US states, consequently informing entreprenurship policy practice in terms of which policies work most effectively in which conditions. The novel applied and technical developments demonstrated in the study offer novel implementations on this area of research. Journal Article Journal of Business Research 101 675 687 0148-2963 USA, state Level, fsQCa, innovation 1 8 2019 2019-08-01 10.1016/j.jbusres.2019.01.074 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University 2021-01-19T11:14:36.6565637 2019-02-28T17:10:53.5750803 Faculty of Humanities and Social Sciences School of Management - Business Management David Pickernell 0000-0003-0912-095X 1 Malcolm J. Beynon 2 Paul Jones 0000-0003-0417-9143 3 David Pickernell 4 0049027-11032019111739.pdf 49027.pdf 2019-03-11T11:17:39.8200000 Output 1529558 application/pdf Accepted Manuscript true 2020-09-20T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true eng
title The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation
spellingShingle The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation
David Pickernell
Paul Jones
title_short The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation
title_full The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation
title_fullStr The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation
title_full_unstemmed The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation
title_sort The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation
author_id_str_mv 913bd73da00d7df4f5038f6f144b235e
21e2660aaa102fe36fc981880dd9e082
author_id_fullname_str_mv 913bd73da00d7df4f5038f6f144b235e_***_David Pickernell
21e2660aaa102fe36fc981880dd9e082_***_Paul Jones
author David Pickernell
Paul Jones
author2 David Pickernell
Malcolm J. Beynon
Paul Jones
David Pickernell
format Journal article
container_title Journal of Business Research
container_volume 101
container_start_page 675
publishDate 2019
institution Swansea University
issn 0148-2963
doi_str_mv 10.1016/j.jbusres.2019.01.074
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
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department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
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description The purpose of this study is to consider the differing roles played by combinations of dimensions of entrepreneurship, innovation and geography (here - urbanity-diversity) on United States (US) state level growth, unemployment and income. Fuzzy-set Qualitative Comparative Analysis (fsQCA) forms the primary methodology to investigate these potential roles. One important developmental feature of the analysis is the use of a novel fuzzy membership score creation process, undertaken to calibrate the considered condition and outcome variables. Moreover, fuzzy cluster analyses are undertaken, using the fuzzy c-means technique, on sets of constituent variables to produce sets of clusters interpretable to the relevant condition and outcome variables. A series of fsQCA investigations are undertaken across the different outcome variables of growth, unemployment and income. The main results of the study are that high growth entrepreneurship and innovation are key to economic growth but may require additional (though differing) supporting entrepreneurial activities and processes depending on the economic geography of the State. With regards to unemployment, it is Main Street Entrepreneurship that was consistently present for absence of unemployment causal-recipes and its absence in four of the five high unemployment causal-recipes, the absence of Urbanity-diversity was consistently shown in absence of unemployment causal-recipes and its present in three of the five high unemployment complex causal-recipes. For income, the presence of Innovation in all the high income causal-recipes and its absence in three of the four absence of income causal-recipes, Urbanity-diversity present in two of the three high income causal-recipes, and absent in three of the four absence of income causal-recipes. Overall, the results of the study suggest that for non urban-diverse states, the presence of Innovation, Growth Entrepreneurship and Main Street, and relative absence of start-up activity is of relevance in supporting positive growth, unemployment and income outcomes. For more urban-diverse states however, this combination of factors is less effective in generating positive outcomes across all three variables, suggesting trade-offs needing to be considered in these more complex economies. This study contributes to the theory of entrepreneurship and innovation by offering new insights into how different combinations of entrepreneurship, innovation and the urbanity-diversity affect growth, unemployment and income levels across different US states, consequently informing entreprenurship policy practice in terms of which policies work most effectively in which conditions. The novel applied and technical developments demonstrated in the study offer novel implementations on this area of research.
published_date 2019-08-01T13:43:34Z
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