Article

Delivering Development to Gender-conscious Communities in S. Korea: What Factors Matter?

Taewook Huh1, Yunyoung Kim2
Author Information & Copyright
1Research Assistant Professor, Moon Soul Graduate School of Future Strategy, KAIST, e-mail: twhuh@kaist.ac.kr, huh9595@naver.com.
2Associate Research Fellow, Department of Urban Management, Incheon Development Institute.
*Corresponding Author: E-mail: twhuh@kaist.ac.kr, huh9595@naver.com.

© Copyright 2017 Graduate School of Public Administration, Seoul National University. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Jun 19, 2017; Revised: Jun 23, 2017; Revised: Aug 04, 2017; Accepted: Aug 07, 2017

Published Online: Aug 31, 2017

Abstract

This paper aims to suggest an alternative monitoring framework for the WFC (Women-Friendly City) project that can have an impact on the performance of the WFC project. In particular, this study looks at the mutual relationships between the factors of the framework that was suggested through the analysis of the project-related interviewees’ accounts of qualitative research. Path analysis was carried out to analyze the relationship between the six variables – independent (Institutional Resources), parametric (PPCo or Public-Public Cooperation), Education, PPP (Public-Private Partnership) and dependent (Performance and (Gender) Representation). As a result, it was found that Institutional Resources, PPCo, and PPP had a significant influence on Performance and Representation. In particular, there were four statistical associations (paths): Institutional Resources → Performance, PPCo → Performance, PPCo → Representation, and PPP → Representation (p<0.05).

Keywords: Women-Friendly City; Institutional Resources; Public-Public Cooperation; Public-Private Partnership; Gender Representation; Path Analysis