Regional R&D efficiency in Korea from static and dynamic perspectives

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Regional R&D efficiency in Korea from static and dynamic perspectives. / Han, Ungkyu; Asmild, Mette; Kunc, Martin.

In: Regional Studies, Vol. 50, No. 7, 2016, p. 1170-1184.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Han, U, Asmild, M & Kunc, M 2016, 'Regional R&D efficiency in Korea from static and dynamic perspectives', Regional Studies, vol. 50, no. 7, pp. 1170-1184. https://doi.org/10.1080/00343404.2014.984670

APA

Han, U., Asmild, M., & Kunc, M. (2016). Regional R&D efficiency in Korea from static and dynamic perspectives. Regional Studies, 50(7), 1170-1184. https://doi.org/10.1080/00343404.2014.984670

Vancouver

Han U, Asmild M, Kunc M. Regional R&D efficiency in Korea from static and dynamic perspectives. Regional Studies. 2016;50(7):1170-1184. https://doi.org/10.1080/00343404.2014.984670

Author

Han, Ungkyu ; Asmild, Mette ; Kunc, Martin. / Regional R&D efficiency in Korea from static and dynamic perspectives. In: Regional Studies. 2016 ; Vol. 50, No. 7. pp. 1170-1184.

Bibtex

@article{a1dfe77b7a504b0e859b33af06b42e12,
title = "Regional R&D efficiency in Korea from static and dynamic perspectives",
abstract = "Research and development (R&D) efficiency has gained great attention in regional innovation research. This study examines the R&D efficiency patterns of 15 Korean regions for 2005–09. It employs data envelopment analysis to identify the regions' R&D performances relative to the best practices from the static perspective, and the Malmquist productivity index to evaluate their changes in performance within a given timeframe, providing a dynamic perspective. The results classify the Korean regions into deteriorating, lagging and improving groups, and indicate that most regions suffer from declining R&D productivity over time because of their inability to catch up with the best practices.",
keywords = "Data envelopment analysis, Korea, Malmquist productivity index, Regional R&D efficiency",
author = "Ungkyu Han and Mette Asmild and Martin Kunc",
year = "2016",
doi = "10.1080/00343404.2014.984670",
language = "English",
volume = "50",
pages = "1170--1184",
journal = "Regional Studies",
issn = "0034-3404",
publisher = "Routledge",
number = "7",

}

RIS

TY - JOUR

T1 - Regional R&D efficiency in Korea from static and dynamic perspectives

AU - Han, Ungkyu

AU - Asmild, Mette

AU - Kunc, Martin

PY - 2016

Y1 - 2016

N2 - Research and development (R&D) efficiency has gained great attention in regional innovation research. This study examines the R&D efficiency patterns of 15 Korean regions for 2005–09. It employs data envelopment analysis to identify the regions' R&D performances relative to the best practices from the static perspective, and the Malmquist productivity index to evaluate their changes in performance within a given timeframe, providing a dynamic perspective. The results classify the Korean regions into deteriorating, lagging and improving groups, and indicate that most regions suffer from declining R&D productivity over time because of their inability to catch up with the best practices.

AB - Research and development (R&D) efficiency has gained great attention in regional innovation research. This study examines the R&D efficiency patterns of 15 Korean regions for 2005–09. It employs data envelopment analysis to identify the regions' R&D performances relative to the best practices from the static perspective, and the Malmquist productivity index to evaluate their changes in performance within a given timeframe, providing a dynamic perspective. The results classify the Korean regions into deteriorating, lagging and improving groups, and indicate that most regions suffer from declining R&D productivity over time because of their inability to catch up with the best practices.

KW - Data envelopment analysis

KW - Korea

KW - Malmquist productivity index

KW - Regional R&D efficiency

U2 - 10.1080/00343404.2014.984670

DO - 10.1080/00343404.2014.984670

M3 - Journal article

AN - SCOPUS:84919904078

VL - 50

SP - 1170

EP - 1184

JO - Regional Studies

JF - Regional Studies

SN - 0034-3404

IS - 7

ER -

ID: 167179376