2014
DOI: 10.1111/gean.12031
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Competition in Research Activity among Economic Departments: Evidence by Negative Spatial Autocorrelation

Abstract: Despite the prevalence of both competitive forces and patterns of collaboration within academic communities, studies on research productivity generally treat universities as independent entities. By exploring the research productivity of all academic economists employed at 81 universities and 17 economic research institutes in Austria, Germany, and German‐speaking Switzerland, this study finds that a research unit's productivity negatively depends on that of neighboring research units weighted by inverse dista… Show more

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Cited by 32 publications
(22 citation statements)
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“…This SDM has strength as a reference spatial model (Elhorst and Zigova, 2014; LeSage and Pace, 2009). As a nesting model, SDM can be simplified to a spatial autoregressive model (SAR, that has a spatially-lagged dependent variable only) when θ = 0, and to a spatial error model (SEM, that has a spatially-lagged error term as u = Wu + ε) when θ = −ρβ.…”
Section: Methodsmentioning
confidence: 99%
“…This SDM has strength as a reference spatial model (Elhorst and Zigova, 2014; LeSage and Pace, 2009). As a nesting model, SDM can be simplified to a spatial autoregressive model (SAR, that has a spatially-lagged dependent variable only) when θ = 0, and to a spatial error model (SEM, that has a spatially-lagged error term as u = Wu + ε) when θ = −ρβ.…”
Section: Methodsmentioning
confidence: 99%
“…have been widely used to analyze the research output of countries [18][19][20][21][22] . Here, we use RCA sf to define the five discrete states that we use to characterize the diversification and evolution of the research output of individuals, organizations, and countries:…”
Section: Constructing the Research Spacementioning
confidence: 99%
“…Indirect effects-also called spillover effects-compute the average impact of a change in an independent variable in area i on the dependent variable in all other different locations j. Direct effects are used to test whether a particular variable has a significant effect on the dependent variable within its own geographic area, while indirect effects are used to test whether spillovers into neighboring areas occur [65]. Table 5 presents the results of the direct and indirect effects of independent variables on living standards in rural areas in Korea.…”
Section: Regression Resultsmentioning
confidence: 99%