Spatial Microsimulation for Rural Policy Analysis

Spatial Microsimulation for Rural Policy Analysis
Author: Cathal O'Donoghue
Publisher: Springer Science & Business Media
Total Pages: 276
Release: 2012-10-12
Genre: Business & Economics
ISBN: 3642300251


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The aim of this book is to explore the challenges facing rural communities and economies and to demonstrate the potential of spatial microsimulation for policy and analysis in a rural context. This is done by providing a comprehensive overview of a particular spatial microsimulation model called SMILE (Simulation Model of the Irish Local Economy). The model has been developed over a ten year period for applied policy analyis in Ireland which is seen as an ideal study area given its large percentage of population living in rural areas. The book reviews the policy context and the state of the art in spatial microsimulation against which SMILE was developed, describes in detail its model design and calibration, and presents example of outputs showing what new information the model provides using a spatial matching process. The second part of the book explores a series of rural issues or problems, including the impacts of new or changing government or EU policies, and examines the contribution that spatial microsimulation can provide in each area.


Spatial Microsimulation for Rural Policy Analysis
Language: en
Pages: 276
Authors: Cathal O'Donoghue
Categories: Business & Economics
Type: BOOK - Published: 2012-10-12 - Publisher: Springer Science & Business Media

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The aim of this book is to explore the challenges facing rural communities and economies and to demonstrate the potential of spatial microsimulation for policy
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Type: BOOK - Published: 2012-11-13 - Publisher: Springer Science & Business Media

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This book is a practical guide on how to design, create and validate a spatial microsimulation model. These models are becoming more popular as academics and po
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This book, which is the first to be published in the emerging field of farm-level microsimulation, highlights the different methodological components of microsi