This paper intends to map on a large-n basis the existing links between public governance and human capital to find out the most significant rules from an environmental perspective. Following an introduction, the second section describes the theoretical background at the intersection between political science, economics and public administration. The next section proposes a definition of public governance and emphasizes the need for a multivariate analysis. The fourth section attempts to link public governance, human capital and environmental outcomes in a more comprehensive and systemic manner making use of self-organizing maps. The fifth section discusses main results and puts emphasis on those rules between governance and human capital that are more associated with environmental outcomes: supervision and human capital, coordination versus human capital and supervision versus coordination.

Public Governance, Human Capital and Environmental Outcomes: an Analysis Based on Self-Organizing Maps

CARLEI, Vittorio;MARRA, Alessandro;
2012-01-01

Abstract

This paper intends to map on a large-n basis the existing links between public governance and human capital to find out the most significant rules from an environmental perspective. Following an introduction, the second section describes the theoretical background at the intersection between political science, economics and public administration. The next section proposes a definition of public governance and emphasizes the need for a multivariate analysis. The fourth section attempts to link public governance, human capital and environmental outcomes in a more comprehensive and systemic manner making use of self-organizing maps. The fifth section discusses main results and puts emphasis on those rules between governance and human capital that are more associated with environmental outcomes: supervision and human capital, coordination versus human capital and supervision versus coordination.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/238022
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