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Indicator-Based Monitoring of Regional Economic Integration

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Cover of 'Indicator-Based Monitoring of Regional Economic Integration'

Table of Contents

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    Book Overview
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    Chapter 1 The European Commission Single Market Scoreboard
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    Chapter 2 Scoreboard for the Surveillance of Macroeconomic Imbalances in the European Union
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    Chapter 3 The EU Index of Integration Effort
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    Chapter 4 Integration Profiles for Central Europe and Hungary
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    Chapter 5 The EDB System of Indicators of Eurasian Integration: Eurasian Integration’s Trends from 1999 to 2012
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    Chapter 6 Measuring Integration Achievement in the Americas
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    Chapter 7 Monitoring Regional Integration in Practice: Reflections from the EU-CARIFORUM Economic Partnership Agreement
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    Chapter 8 Comparing Integration in Europe and Latin America: Wishful Thinking, Self-Perception and Reality – A Comment
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    Chapter 9 Assessing Regional Integration in Africa (ARIA): Indicators of Integration Effort in Africa
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    Chapter 10 Monitoring Regional Integration in the African, Caribbean and Pacific (ACP) Regions
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    Chapter 11 The East African Community Common Market Scorecard
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    Chapter 12 Assessing Regional Integration at the Country Level: A Possible Framework as Illustrated for the COMESA Region
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    Chapter 13 Monitoring the ASEAN Economic Community
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    Chapter 14 Opening the Black Box of Trade Agreements
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    Chapter 15 Assessing Globalization and Regionalization Through Network Indices
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    Chapter 16 Measuring Actual Economic Integration: A Bayesian State-Space Approach
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Title
Indicator-Based Monitoring of Regional Economic Integration
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-50860-3
ISBNs
978-3-31-950858-0, 978-3-31-950860-3
Editors

Philippe De Lombaerde, Edgar J. Saucedo Acosta

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Professor > Associate Professor 2 14%
Lecturer 1 7%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 3 21%
Unknown 2 14%
Readers by discipline Count As %
Social Sciences 7 50%
Economics, Econometrics and Finance 3 21%
Neuroscience 1 7%
Unknown 3 21%