Knowledge Externalities in Regional Labor Markets : Evidence from Occupation-related Knowledge Requirements (지식외부효과가 임금 수준에 미치는 영향 : 일자리 수준 변수를 이용한 다층적 모형의 설계)

Sungchul Cho (조성철); Up Lim (임업)

doi:10.15793/kspr.2012.73..014

Knowledge Externalities in Regional Labor Markets : Evidence from Occupation-related Knowledge Requirements

The Korea Spatial Planning Review
2012, 73(), pp.245-260
DOI : 10.15793/kspr.2012.73..014
Publisher : 국토연구원
Research Area :

Sungchul Cho ¹, Up Lim ¹

¹연세대학교

Accredited

ABSTRACT

This paper examines the role of occupation-specific knowledge requirements in wage inequality across regional labor markets in Korea. By employing a hierarchical linear model, this study can help us to understand the sources of wage inequality and to estimate its magnitude more accurately. This study also introduces an alternative way of measuring local knowledge. We use the data from the Korea Network for Occupations and Workers. The major finding is that high knowledge in the areas of business and management, engineering and science has a positive effect on individual wages, while high knowledge in production and design is not rewarded or even penalized in the labor markets. According to the results, knowledge externalities are found mainly in the area of business and management.

KEYWORDS

Knowledge Externalities, Regional Labor Market, Occupation-related Knowledge Requirements, Urban Wages, Hierarchical Linear Model

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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The Korea Spatial Planning Review 2023 KCI Impact Factor : 1.2

Knowledge Externalities in Regional Labor Markets : Evidence from Occupation-related Knowledge Requirements

ABSTRACT

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* References for papers published after 2023 are currently being built.

The Korea Spatial Planning Review 2023 KCI Impact Factor : 1.2

Knowledge Externalities in Regional Labor Markets : Evidence from Occupation-related Knowledge Requirements

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KEYWORDS

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* References for papers published after 2023 are currently being built.