Evidence-based regional economic policy analysis
The role of CGE modelling
Bibliographic Data
| ID | 12913693 |
|---|---|
| Authors | James Giesecke (0000-0002-7283-0551), J A Giesecke, John R Madden (0000-0002-7849-1749) |
| Year | 2013 |
| Volume | 6 |
| Issue | 2 |
| Pages | 285-301 |
| Publication date | 2013-03-12 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cambridge Journal of Regions Economy and Society (JOURNAL) |
| Journal identifiers | ISSN: 1752-1386 • E-ISSN: 1752-1378 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/cjres/rst003 |
| OpenAlex | W2044264249 |
| Language | EN |
| Citations received | 3 |
| References cited | 41 |
An important ingredient in meeting the challenges for regional policy is evidence-based analysis capable of revealing the full ramifications of economic policies and events across regions. This paper considers the capabilities of computable general equilibrium (CGE) modelling to provide such analysis. After summarising the main features of CGE models, we examine how they can be put to work to inform regional policymakers. We first consider historical CGE analysis designed to uncover the economic causes underlying relative regional performance. We then discuss CGE regional forecasting and policy modelling, highlighting the model’s analytical capabilities in revealing the regional consequences of a wide range of regional policy initiatives. Copyright 2013, Oxford University Press
Agricultural economics · Computable general equilibrium · Economic analysis · Economic history · Economics · Library science · Macroeconomics · Political science · Regional science · Sociology · Computer Science · Fiscal Policy and Economic Growth · Local Government Finance and Decentralization · Regional Economics and Spatial Analysis
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| Unique citing works | 3 |
|---|---|
| Citations per year | 0,6 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |