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Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis
Technological Forecasting and Social Change, Volume: 210, Start page: 123914
Swansea University Authors:
David Pickernell , Paul Jones
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DOI (Published version): 10.1016/j.techfore.2024.123914
Abstract
This study offers a novel country-level longitudinal investigation of conditions, including, income, urbanity, education, R&D, and entrepreneurial activity, driving international trade, for imports and exports. The configurational (clustering) approach places emphasis on country and year groupin...
Published in: | Technological Forecasting and Social Change |
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ISSN: | 0040-1625 1873-5509 |
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Elsevier BV
2025
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URI: | https://cronfa.swan.ac.uk/Record/cronfa68387 |
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2025-02-04T12:49:27.4582461 v2 68387 2024-11-29 Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis 913bd73da00d7df4f5038f6f144b235e 0000-0003-0912-095X David Pickernell David Pickernell true false 21e2660aaa102fe36fc981880dd9e082 0000-0003-0417-9143 Paul Jones Paul Jones true false 2024-11-29 CBAE This study offers a novel country-level longitudinal investigation of conditions, including, income, urbanity, education, R&D, and entrepreneurial activity, driving international trade, for imports and exports. The configurational (clustering) approach places emphasis on country and year groupings, offering ‘targeted’ understanding on country level variations of international trade in cultural goods. The study explores context sensitive conditions affecting international trade in cultural goods, including environment for entrepreneurship, and entrepreneurial processes. Emphasis is given to configurational considerations of clusters of country-year observations based on conditions. Inferences inferred will be country groups-based perspectives. Using UIS and GEM datasets, fuzzy c-means clustering is employed for economic development-related conditions measuring, income, urbanity, education, R&D, and entrepreneurial activity, to establish clusters of country-year observations, based on differences in the condition values describing them. These clusters are defined to give qualitative understanding of their individuality. Validation of clusters is undertaken with consideration of differences on levels of international trade of cultural goods, in terms of forms of imports and exports. To complement the validation, cluster profiling is undertaken, with consideration of population age and poverty levels. The study contributes increased understanding concerning drivers (conditions) of trade in cultural goods, and impact of entrepreneurship in both imports and exports. Journal Article Technological Forecasting and Social Change 210 123914 Elsevier BV 0040-1625 1873-5509 Cultural goods; Export; Import; Fuzzy c-means; Country level; Clustering; Trade 1 1 2025 2025-01-01 10.1016/j.techfore.2024.123914 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2025-02-04T12:49:27.4582461 2024-11-29T11:21:14.6101341 Faculty of Humanities and Social Sciences School of Management - Business Management Malcolm Beynon 1 David Pickernell 0000-0003-0912-095X 2 Paul Jones 0000-0003-0417-9143 3 68387__33001__6c0f3efa15ce4c98a59d84ef199e4b97.pdf 68387.VoR.pdf 2024-11-29T11:29:34.9530929 Output 9339790 application/pdf Version of Record true © 2024 The Authors. This is an open access article under the CC BY license. true eng http://creativecommons.org/licenses/by/4.0/ |
title |
Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis |
spellingShingle |
Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis David Pickernell Paul Jones |
title_short |
Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis |
title_full |
Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis |
title_fullStr |
Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis |
title_full_unstemmed |
Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis |
title_sort |
Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis |
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913bd73da00d7df4f5038f6f144b235e 21e2660aaa102fe36fc981880dd9e082 |
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913bd73da00d7df4f5038f6f144b235e_***_David Pickernell 21e2660aaa102fe36fc981880dd9e082_***_Paul Jones |
author |
David Pickernell Paul Jones |
author2 |
Malcolm Beynon David Pickernell Paul Jones |
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Technological Forecasting and Social Change |
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123914 |
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Swansea University |
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0040-1625 1873-5509 |
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10.1016/j.techfore.2024.123914 |
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Elsevier BV |
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Faculty of Humanities and Social Sciences |
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This study offers a novel country-level longitudinal investigation of conditions, including, income, urbanity, education, R&D, and entrepreneurial activity, driving international trade, for imports and exports. The configurational (clustering) approach places emphasis on country and year groupings, offering ‘targeted’ understanding on country level variations of international trade in cultural goods. The study explores context sensitive conditions affecting international trade in cultural goods, including environment for entrepreneurship, and entrepreneurial processes. Emphasis is given to configurational considerations of clusters of country-year observations based on conditions. Inferences inferred will be country groups-based perspectives. Using UIS and GEM datasets, fuzzy c-means clustering is employed for economic development-related conditions measuring, income, urbanity, education, R&D, and entrepreneurial activity, to establish clusters of country-year observations, based on differences in the condition values describing them. These clusters are defined to give qualitative understanding of their individuality. Validation of clusters is undertaken with consideration of differences on levels of international trade of cultural goods, in terms of forms of imports and exports. To complement the validation, cluster profiling is undertaken, with consideration of population age and poverty levels. The study contributes increased understanding concerning drivers (conditions) of trade in cultural goods, and impact of entrepreneurship in both imports and exports. |
published_date |
2025-01-01T15:57:55Z |
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1823324216249810944 |
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11.049189 |