《Science and technology cooperation in cross-border regions: a proximity approach with evidence for Northern Europe》

打印
作者
来源
EUROPEAN PLANNING STUDIES,Vol.26,Issue10,P.1961-1979
语言
英文
关键字
Science and technology cooperation; proximity; cross-border integration; cross-border regional innovation system; cross-border region; Northern Europe; FINNISH-RUSSIAN BORDER; INNOVATION SYSTEMS; METROPOLITAN INTEGRATION; EMPIRICAL-EVIDENCE; TWIN-CITIES;
作者单位
[Makkonen, Teemu] Univ Tampere, Inst Adv Social Res, Ratapihankatu 55, FI-33014 Tampere, Finland. [Makkonen, Teemu; Mitze, Timo] Univ Southern Denmark, Dept Business & Econ, Alsion 2, DK-6400 Sonderborg, Denmark. [Williams, Allan M.] Univ Surrey, Sch Hospitality & Tourism Management, Guildford, Surrey, England. [Weidenfeld, Adi] Coventry Univ, Business Sch, Coventry, W Midlands, England. Makkonen, T (reprint author), Univ Tampere, Inst Adv Social Res, Ratapihankatu 55, FI-33014 Tampere, Finland.; Makkonen, T (reprint author), Univ Southern Denmark, Dept Business & Econ, Alsion 2, DK-6400 Sonderborg, Denmark. E-Mail: teemu.makkonen@uta.fi
摘要
Given the sheer number of cross-border regions (CBRs) within the EU, their socio-economic importance has been recognized both by policy-makers and academics. Recently, the novel concept of cross-border regional innovation system has been introduced to guide the assessment of integration processes in CBRs. A central focus of this concept is set on analyzing the impact of varying types of proximity (cognitive, technological, etc.) on cross-border cooperation. Previous empirical applications of the concept have, however, relied on individual case studies and varying methodologies, thus complicating and constraining comparisons between different CBRs. Here a broader view is provided by comparing 28 Northern European CBRs. The empirical analysis utilizes economic, science and technology (S&T) statistics to construct proximity indicators and measures S&T integration in the context of cross-border cooperation. The findings from descriptive statistics and exploratory count data regressions show that technological and cognitive proximity measures are significantly related to S&T cooperation activities (cross-border co-publications and co-patents). Taken together, our empirical approach underlines the feasibility of utilizing the proximity approach for comparative analyses in CBR settings.