{"title":"作为城市产业集群中非正规工匠辅助生产要素的非贸易相互依存关系:加纳库马西的实证研究","authors":"Godfred Takyi, Francis Enu‐Kwesi, R. Dinye","doi":"10.1111/issj.12526","DOIUrl":null,"url":null,"abstract":"The concept and influence of untraded inter‐dependencies are under‐explored in the industrial cluster and informal economy literature. In this paper, we attempt to bridge this gap by extending the conventional Cobb‐Douglas production function to operationalising and testing the moderating effects of two forms of untraded inter‐dependencies in informal production. Based on the diffusion theory, we argue that knowledge‐sharing would favour informal production, as opposed to tool‐sharing. Using quantitative methods, 334 informal artisans were randomly sampled from three clusters in the Kumasi Metropolis of Ghana and analysed data obtained with moderating models and simple slopes plots. The tested models and fuzzy set configurations confirmed that knowledge‐sharing, but not tool‐sharing, has significant interaction effects on informal production. The optimal model derived would be one in which capital interacts with incremental knowledge‐sharing at the existing level of tool‐sharing among the artisans. This paper serves as an extension of new economic geography with an additional factor of untraded inter‐dependencies. As part of post‐COVID restoration and enhancement of informal production processes, we recommend city officials to deliberately plan and space clustered enterprises that enable the observed rates of interactions between production factors and untraded inter‐dependencies.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":"54 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Untraded inter‐dependencies as auxiliary production factors for informal artisans in urban industrial clusters: An empirical study in Kumasi, Ghana\",\"authors\":\"Godfred Takyi, Francis Enu‐Kwesi, R. Dinye\",\"doi\":\"10.1111/issj.12526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept and influence of untraded inter‐dependencies are under‐explored in the industrial cluster and informal economy literature. In this paper, we attempt to bridge this gap by extending the conventional Cobb‐Douglas production function to operationalising and testing the moderating effects of two forms of untraded inter‐dependencies in informal production. Based on the diffusion theory, we argue that knowledge‐sharing would favour informal production, as opposed to tool‐sharing. Using quantitative methods, 334 informal artisans were randomly sampled from three clusters in the Kumasi Metropolis of Ghana and analysed data obtained with moderating models and simple slopes plots. The tested models and fuzzy set configurations confirmed that knowledge‐sharing, but not tool‐sharing, has significant interaction effects on informal production. The optimal model derived would be one in which capital interacts with incremental knowledge‐sharing at the existing level of tool‐sharing among the artisans. This paper serves as an extension of new economic geography with an additional factor of untraded inter‐dependencies. As part of post‐COVID restoration and enhancement of informal production processes, we recommend city officials to deliberately plan and space clustered enterprises that enable the observed rates of interactions between production factors and untraded inter‐dependencies.\",\"PeriodicalId\":35727,\"journal\":{\"name\":\"International Social Science Journal\",\"volume\":\"54 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Social Science Journal\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1111/issj.12526\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Social Science Journal","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1111/issj.12526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
Untraded inter‐dependencies as auxiliary production factors for informal artisans in urban industrial clusters: An empirical study in Kumasi, Ghana
The concept and influence of untraded inter‐dependencies are under‐explored in the industrial cluster and informal economy literature. In this paper, we attempt to bridge this gap by extending the conventional Cobb‐Douglas production function to operationalising and testing the moderating effects of two forms of untraded inter‐dependencies in informal production. Based on the diffusion theory, we argue that knowledge‐sharing would favour informal production, as opposed to tool‐sharing. Using quantitative methods, 334 informal artisans were randomly sampled from three clusters in the Kumasi Metropolis of Ghana and analysed data obtained with moderating models and simple slopes plots. The tested models and fuzzy set configurations confirmed that knowledge‐sharing, but not tool‐sharing, has significant interaction effects on informal production. The optimal model derived would be one in which capital interacts with incremental knowledge‐sharing at the existing level of tool‐sharing among the artisans. This paper serves as an extension of new economic geography with an additional factor of untraded inter‐dependencies. As part of post‐COVID restoration and enhancement of informal production processes, we recommend city officials to deliberately plan and space clustered enterprises that enable the observed rates of interactions between production factors and untraded inter‐dependencies.
期刊介绍:
The International Social Science Journal bridges social science communities across disciplines and continents with a view to sharing information and debate with the widest possible audience. The ISSJ has a particular focus on interdisciplinary and transdisciplinary work that pushes the boundaries of current approaches, and welcomes both applied and theoretical research. Originally founded by UNESCO in 1949, ISSJ has since grown into a forum for innovative review, reflection and discussion informed by recent and ongoing international, social science research. It provides a home for work that asks questions in new ways and/or employs original methods to classic problems and whose insights have implications across the disciplines and beyond the academy. The journal publishes regular editions featuring rigorous, peer-reviewed research articles that reflect its international and heterodox scope.