GTAP Resources: Resource Display
| GTAP Resource #5590 |
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"Assessing Policy Failure in a General Political Equilibrium Framework: Derivation and application of a new CGPE-approach" by Henning, Christian, Johannes Ziesmer and Ligane Sene Abstract In this paper, we apply the CGPE model to analyzing the performance of policy processes with respect to the production of efficient policy choices. Within the CGPE approach participation of stakeholder organizations is modeled in two ways. First, as classical lobbying influence and second as informational influence within a model of political belief formation. An empirical application of the CGPE model to CAADP reforms in Malawi delivered the following results: (i) inefficient agricultural policies mainly result from lack of adequate political knowledge while biased political incentives play only a minor rule; (ii) policy beliefs of political practitioners differ significantly from economic models. Hence, our analyses imply a cleavage between the world of economic modeling and the world of political practice. (iii) As Bayesian estimation combining objective knowledge of scientific models with the subjective wisdom of practitioners result in a compromise of both worlds, we conclude that adequate political knowledge does not yet exist in the scientific system or in political praxis and must be created in the political process. Therefore, the only effective political therapy corresponds to the application of adequate tools that facilitate interactive communication and policy learning among stakeholders and economic modelers. |
| Resource Details (Export Citation) | GTAP Keywords | ||||||||||||||||
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- Calibration and parameter estimation - Economic analysis of poverty - Economic development - Economic growth - Technological change - Agricultural policies - Africa (Southern) |
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Public Access  GTAP Resource 5590 (959.8 KB) Replicated: 0 time(s)Restricted Access No documents have been attached. Special Instructions No instructions have been specified. |
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Last Modified: 9/15/2023 2:05:45 PM
