In higher education, reforms have long been driven by the theory that system performance depends on governance design; yet it remains far from clear which arrangements can actually deliver results, as shown in the analysis of various streams of research devoted to assessing performance in higher education. We reason that such a question can be better answered if research aims for a mechanistic explanation and operationalizes it to avoid the shortcomings of both ‘variable-oriented’ and ‘case-oriented’ strategies. We therefore develop a ‘diversity-oriented’ mechanistic framework that explains differences in performance by differences in policy tool mixes, which we define as governance regimes. This set of policy tools is meant as a configuration of properties of delivery vehicles, decision-making design, and accountability design. Such an explanatory focus has many advantages: policy tools are manipulable, as they depend on political and administrative decisions; moreover, they are efficient causes, as they trigger mechanisms at the individual level that directly account for both individual and institutional behavior and, hence, performance. Tool-based explanations therefore can more easily allow for policy learning and transfer than can ‘remote’ constitutional, historical, or cultural accounts.
No good recommendation without a mechanistic explanation? : the case of higher education governance / A. Damonte, G. Capano. ((Intervento presentato al 2. convegno International Conference on Public Policy tenutosi a Milano nel 2015.
No good recommendation without a mechanistic explanation? : the case of higher education governance
A. DamontePrimo
;
2015
Abstract
In higher education, reforms have long been driven by the theory that system performance depends on governance design; yet it remains far from clear which arrangements can actually deliver results, as shown in the analysis of various streams of research devoted to assessing performance in higher education. We reason that such a question can be better answered if research aims for a mechanistic explanation and operationalizes it to avoid the shortcomings of both ‘variable-oriented’ and ‘case-oriented’ strategies. We therefore develop a ‘diversity-oriented’ mechanistic framework that explains differences in performance by differences in policy tool mixes, which we define as governance regimes. This set of policy tools is meant as a configuration of properties of delivery vehicles, decision-making design, and accountability design. Such an explanatory focus has many advantages: policy tools are manipulable, as they depend on political and administrative decisions; moreover, they are efficient causes, as they trigger mechanisms at the individual level that directly account for both individual and institutional behavior and, hence, performance. Tool-based explanations therefore can more easily allow for policy learning and transfer than can ‘remote’ constitutional, historical, or cultural accounts.File | Dimensione | Formato | |
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ICPP2015 T08P04 -Damonte-Capano -Mech HES June20.pdf
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