Comparing Policy Networks
Labor Politics in the U.S., Germany, and Japan
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Comparing Policy Networks by David H. Knoke
Book DescriptionThe United States, Germany, and Japan - the world's three most powerful and successful free market societies - differ strikingly in how their governments relate to their economies. Comparing Policy Networks reports the results of collaborative research by three teams investigating the social organization and policymaking processes of national labor policy domains in the United States, Germany, and Japan during the 1980s. The researchers gathered information about policy goals, communication patterns, and political support connections from 350 key national organizations, including labor unions, business associations, public interest groups, government agencies, and political parties. These networks reveal similar conflict divisions between business and labor interests, but also distinctive patterns within each nation. Unique combinations of informal policy-making networks and the national political institutions may in part explain the differences in power structures and legislative decisions.
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Book DetailsISBN: 9780521499279
(228mm x 152mm x 18mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 26-Jan-1996
Country of Publication: United Kingdom
Books By Author David H. Knoke
Social Network Analysis, Paperback (January 2008)
Expands on the 1982 edition and adds new basic social network developments of the past twenty-five years.
Organizations in America, Paperback (April 1996)
Presents an authoritative database on the workings of organizations in the United States. This book describes the National Organizations Study, the first national survey of organizations in the US using a statistically representative sample.
Political Networks, Paperback (June 1994)
Knoke explains the relevance of network theory in political science.
Log-Linear Models, Paperback (September 1980)» View all books by David H. Knoke
Discusses the innovative log-linear model of statistical analysis. This model makes no distinction between independent and dependent variables, but is used to examine relationships among categoric variables by analyzing expected cell frequencies.
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