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題名 Looking for regional convergence: evidence from the italian case with multivariate adaptive regression splines
作者 陳樹衡
Odoardi, Iacopo
Muratore, Fabrizio
Bucciarelli, Edgardo
Chen, Shu-Heng
貢獻者 經濟學系
關鍵詞 Regional convergence ; Clusters ; MARS ; Regional policy
日期 2018
上傳時間 18-Sep-2017 15:40:01 (UTC+8)
摘要 This paper examines the role of data mining analysis in explaining the Italian regional dualism with the aim of suggesting economic policies to fill the existing socio-economic gaps. We analyze the 2004–2014 period exploiting the capacity of MARS model in finding relationships among data. In Italy, the presence of a North-South divide is well-known for decades and present for several social and economic aspects. Recent studies prove that strong differences exist also in the regional human capital. Thus, we search for the causes of the local differences, also considering the entrepreneurial vitality and the international trade leverage. Among several variables, MARS is useful in showing the actual determinants on which to intervene. This is possible by comparing regions grouped homogeneously into clusters using recent data. MARS results are used for policy suggestions with the aim of filling the income gap.
關聯 Advances in Intelligent Systems and Computing, Volume 618, Pages 77-85
14th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2017; Porto; Portugal; 21 June 2017 到 23 June 2017; 代碼 193359
資料類型 conference
DOI https://doi.org/10.1007/978-3-319-60882-2_10
dc.contributor 經濟學系zh_TW
dc.creator (作者) 陳樹衡zh_TW
dc.creator (作者) Odoardi, Iacopoen_US
dc.creator (作者) Muratore, Fabrizioen_US
dc.creator (作者) Bucciarelli, Edgardoen_US
dc.creator (作者) Chen, Shu-Hengen_US
dc.date (日期) 2018
dc.date.accessioned 18-Sep-2017 15:40:01 (UTC+8)-
dc.date.available 18-Sep-2017 15:40:01 (UTC+8)-
dc.date.issued (上傳時間) 18-Sep-2017 15:40:01 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/113064-
dc.description.abstract (摘要) This paper examines the role of data mining analysis in explaining the Italian regional dualism with the aim of suggesting economic policies to fill the existing socio-economic gaps. We analyze the 2004–2014 period exploiting the capacity of MARS model in finding relationships among data. In Italy, the presence of a North-South divide is well-known for decades and present for several social and economic aspects. Recent studies prove that strong differences exist also in the regional human capital. Thus, we search for the causes of the local differences, also considering the entrepreneurial vitality and the international trade leverage. Among several variables, MARS is useful in showing the actual determinants on which to intervene. This is possible by comparing regions grouped homogeneously into clusters using recent data. MARS results are used for policy suggestions with the aim of filling the income gap.en_US
dc.format.extent 181 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Advances in Intelligent Systems and Computing, Volume 618, Pages 77-85en_US
dc.relation (關聯) 14th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2017; Porto; Portugal; 21 June 2017 到 23 June 2017; 代碼 193359en_US
dc.subject (關鍵詞) Regional convergence ; Clusters ; MARS ; Regional policyen_US
dc.title (題名) Looking for regional convergence: evidence from the italian case with multivariate adaptive regression splinesen_US
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1007/978-3-319-60882-2_10
dc.doi.uri (DOI) https://doi.org/10.1007/978-3-319-60882-2_10