New development: Unified scores of governance capacity using a Bayesian latent variable analysis

Ryung S. Kim; Minah Kang; Younhee Kim; Hwa Young Lee

doi:10.1080/09540962.2018.1527569

New development: Unified scores of governance capacity using a Bayesian latent variable analysis

Ryung S. Kim
, Minah Kang
, Younhee Kim
, Hwa Young Lee

School of Public Affairs (Harrisburg)

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

A plethora of governance measures has been developed to assess governance capacity in different countries. Choosing one indicator over another involves discretionary decision issues. This article presents a new unified measure of governance capacity for the administrative and political dimensions. The unified measure provides a more accurate understanding of governance than single indices.

Original language	English (US)
Pages (from-to)	527-530
Number of pages	4
Journal	Public Money and Management
Volume	38
Issue number	7
DOIs	https://doi.org/10.1080/09540962.2018.1527569
State	Published - Nov 10 2018

All Science Journal Classification (ASJC) codes

General Business, Management and Accounting
Sociology and Political Science
Public Administration

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10.1080/09540962.2018.1527569

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abstract = "A plethora of governance measures has been developed to assess governance capacity in different countries. Choosing one indicator over another involves discretionary decision issues. This article presents a new unified measure of governance capacity for the administrative and political dimensions. The unified measure provides a more accurate understanding of governance than single indices.",

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New development: Unified scores of governance capacity using a Bayesian latent variable analysis

Abstract

All Science Journal Classification (ASJC) codes

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