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1.
Eval Program Plann ; 99: 102296, 2023 08.
Article in English | MEDLINE | ID: mdl-37196533

ABSTRACT

The New Delivery Model, introduced by the 2023-2027 Common Agricultural Policy, shifts the focus of policy programming and design from a compliance-based approach to one based on performance. The objectives indicated in the national strategic plans are monitored through the definition of a set of milestones and targets. This makes it necessary to define realistic and financially consistent target values. The aim of this paper is to outline a methodology to quantify robust target values for result indicators. As the main method, a machine learning model based on multilayer feedforward neural networks is put forward. This method is chosen for its ability to model possible non-linearities in the monitoring data and estimate multiple outputs. The proposed methodology is applied to the Italian case, more specifically to estimate target values for the result indicator related to enhancing performance through knowledge and innovation for 21 regional managing authorities. The related performance is then compared with that of traditional methods adopted to estimate target values. Results demonstrate the superiority of neural networks and suggest that this methodology might be used as a tool to help all Member States fulfill the key task of setting coherent and realistic targets for all result indicators.


Subject(s)
Agriculture , Neural Networks, Computer , Humans , Program Evaluation , Policy , Italy
2.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-383007

ABSTRACT

The paper presented the theoretic basis for the comprehensive hospital evaluation system, and initiated the indicator system for hospital comprehensive evaluation results with both Delphi method and the balance scorecard. Two rounds of experts consultation have decided to evaluate hospital comprehensive strengths from such aspects as hospital resources deployment, business process, financial standing, customers, customers, public welfare and development potential of the hospital. Under these grade-1 indicators are 13 grade-2 ones and 83 grade-3 ones. The importance, operability and sensitivity of these indicators are accepted by experts unanimously.

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