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

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.

Keywords:

• Bayesian latent variable analysis
• governance
• unified scores

Acknowledgements

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF- 2015S1A3A2046566). The efforts of RSK were supported in part by the Brain Pool Program award (172S-1-3-196) from the Korean Federation of Science and Technology Societies.

Additional information

Notes on contributors

Ryung S. Kim

Ryung S. Kim is an Associate Professor at the Albert Einstein College of Medicine, Bronx, USA, and Visiting Professor at Yonsei University, South Korea.

Minah Kang

Minah Kang is Professor of Public Administration at Ewha Womans University, South Korea.

Younhee Kim

Younhee Kim is Associate Professor of Public Administration at Pennsylvania State University- Harrisburg, USA.

Hwa-Young Lee

Hwa-Young Lee is Research Associate Professor in the JW Lee Center for Global Medicine at Seoul National University, South Korea and Takemi Fellow at Harvard University, USA.