A spatially filtered mixture of β-convergence regressions for EU regions, 1980–2002

Battisti, Michèle; Vaio, Gianfranco Di

doi:10.1007/978-3-7908-2070-6_6

Cited by 16 publications

(23 citation statements)

References 44 publications

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“…These criteria improve when adding interaction effects to the model but also include a penalty function to discourage overfitting that increases with the number of estimated parameters. Other spatial econometric studies also use these criteria as a means of model selection, including Le Gallo, Ertur, and Baumont (2003) and Battisti and Di Vaio (2008).…”

Section: Spatial Econometric Modeling Of Competitionmentioning

confidence: 99%

Competition in Research Activity among Economic Departments: Evidence by Negative Spatial Autocorrelation

Elhorst

Zigová

2014

Geographical Analysis

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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 distances. This significant and exemplary robust negative relationship is compatible with the notion of competition for priority of discovery among individual researchers and the universities that employ them, and with the notion that the willingness to relocate decreases with distance. In addition, the empirical results support the hypotheses that collaboration and that the existence of economies of scale increase research productivity. A pesar de la existencia de tanto fuerzas de competencia como de patrones de colaboración dentro de la comunidad académica, los estudios sobre la productividad de investigación tratan por lo general a las universidades como entidades independientes. El presente estudio explora la productividad de investigación de todos los economistas académicos empleados en 81 universidades y 17 institutos de investigación económica en Austria, Alemania y Suiza germano‐parlante, y concluye que la productividad de una unidad de investigación depende negativamente de la productividad de las unidades vecinas ponderada por las distancias inversas que las separan. Esta relación negativa es robusta, significativa y emblemática, lo cual concuerda con el concepto de competencia por prioridad de descubrimiento (priority of discovery) entre investigadores individuales y entre las universidades que los emplean. Así mismo concuerda con la idea de que la voluntad de desplazarse disminuye con la distancia. Adicionalmente, los resultados empíricos de este estudio apoyan la hipótesis de que la colaboración y la presencia de economías de escala tienen un efecto positivo sobre (incrementan) la productividad de investigación. 尽管对学术团体的研究主要针对竞争力和合作模式，但在研究科研生产率时，大学仍被视为独立的实体。本文通过调查奥地利、德国和瑞士德语区的81所高校和17个经济研究单位经济学家的研究产出率，研究发现一个研究单位的产出效率高低负依赖于反距离加权相邻研究单位的研究产出率。这种重要且典型稳健的负相关关系与个人研究者及其所在大学关于发现优先权的竞争观念相符，同时也与研究者的调动意愿因距离增加而减少的情况相一致。此外，经验结果也支持了合作和规模经济的存在能提高研究产出率的假设。

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Section: Spatial Econometric Modeling Of Competitionmentioning

confidence: 99%

Competition in Research Activity among Economic Departments: Evidence by Negative Spatial Autocorrelation

Elhorst

Zigová

2014

Geographical Analysis

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“…As far as we know, …nite mixture models in the form of mixtures of growth regression have been previously used by Paap The perspective adopted follows Battisti and Di Vaio (2008). It is worth mentioning that the model does not explicitly test the so-called 'club convergence'hypothesis.…”

Section: Identifying Cross-country Growth Regimesmentioning

confidence: 99%

“…This latter step can be proved to be equivalent to a maximum likelihood estimation. After the starting values of the parameters have been assigned, 7 the algorithm iterates until a speci…ed convergence criterion is achieved. 8 While the procedure provides a monotone increase of the objective function, convergence to a global optimum is not ensured, due to non-convexity of the log-likelihood function.…”

Section: Identifying Cross-country Growth Regimesmentioning

confidence: 99%

Did globalization drive convergence? Identifying cross-country growth regimes in the long run

Vaio

2011

European Economic Review

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Copyright belongs to the author. Small sections of the text, not exceeding three paragraphs, can be used provided proper acknowledgement is given. The Rimini Centre for Economic Analysis (RCEA) was established in March 2007. RCEA is a private, nonprofit organization dedicated to independent research in Applied and Theoretical Economics and related fields. RCEA organizes seminars and workshops, sponsors a general interest journal The Review of Economic Analysis, and organizes a biennial conference: The Rimini Conference in Economics and Finance (RCEF). The RCEA has a Canadian branch: The Rimini Centre for Economic Analysis in Canada (RCEA-Canada). Scientific work contributed by the RCEA Scholars is published in the RCEA Working Papers and Professional Report series. The views expressed in this paper are those of the authors. No responsibility for them should be attributed to the Rimini Centre for Economic Analysis.

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“…Omitting these relevant aspects from the empirical models of regional growth and convergence is doomed to produce several misspeci…cation problems, as we will describe in the next section. Under this respect, the growing application of spatial econometrics techniques generated a big improvement for the …eld of growth empirics, over the last ten years (an incomplete list of works includes Fingleton, 1999;López-Bazo et al, 1999;Arbia and Paelink, 2003; Le Gallo and Ertur, 2003;Badinger et al, 2004;Gardiner et al, 2004;Funke and Niebuhr, 2005;Ertur et al, 2006; Le Gallo and Dall'erba, 2006;Battisti and Di Vaio, 2008;Fingleton, 2008;Ramajo et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Institutions and geography: Empirical test of spatial growth models for European regions

Arbia¹,

Battisti²,

Vaio³

2010

Economic Modelling

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A spatially filtered mixture of β-convergence regressions for EU regions, 1980–2002

Cited by 16 publications

References 44 publications

Competition in Research Activity among Economic Departments: Evidence by Negative Spatial Autocorrelation

Competition in Research Activity among Economic Departments: Evidence by Negative Spatial Autocorrelation

Did globalization drive convergence? Identifying cross-country growth regimes in the long run

Institutions and geography: Empirical test of spatial growth models for European regions

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