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The Economics of Interfirm Networks

Overview of attention for book
Cover of 'The Economics of Interfirm Networks'

Table of Contents

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    Book Overview
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    Chapter 1 The Economics of Interfirm Networks: Main Issues
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    Chapter 2 Buyer-Supplier Networks and Aggregate Volatility
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    Chapter 3 Community Structure of a Large-Scale Production Network in Japan
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    Chapter 4 Interfirm Networks in Manufacturing Industry Agglomerations in Japan: Evidence from Survey Data
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    Chapter 5 Economic Geography and Interfirm Transaction Networks
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    Chapter 6 Delineating Metropolitan Areas: Measuring Spatial Labour Market Networks Through Commuting Patterns
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    Chapter 7 Determinants of Business and Financial Network Formation by Japanese Start-up Firms: Does Founders’ Human Capital Matter?
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    Chapter 8 Geographical Spread of Interfirm Transaction Networks and the Great East Japan Earthquake
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    Chapter 9 Bank-firm Relationships: A Review of the Implications for Firms and Banks in Normal and Crisis Times
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    Chapter 10 A New Look at Bank-Firm Relationships and the Use of Collateral in Japan: Evidence from Teikoku Databank Data
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    Chapter 11 What do Cash Holdings Tell us About Bank-Firm Relationships? A Case Study of Japanese Firms
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    Chapter 12 Bank Lending and Firm Activities: Overcoming Identification Problems
Attention for Chapter 5: Economic Geography and Interfirm Transaction Networks
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Readers on

mendeley
4 Mendeley
Summary
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Chapter title
Economic Geography and Interfirm Transaction Networks
Chapter number 5
Book title
The Economics of Interfirm Networks
Published by
Springer Japan, January 2015
DOI 10.1007/978-4-431-55390-8_5
Book ISBNs
978-4-43-155389-2, 978-4-43-155390-8
Authors

Kentaro Nakajima

Editors

Tsutomu Watanabe, Iichiro Uesugi, Arito Ono

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 25%
Professor > Associate Professor 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Economics, Econometrics and Finance 1 25%
Unknown 2 50%

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