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

Battisti, Michèle; Vaio, Gianfranco Di

doi:10.1007/s00181-007-0169-7

Cited by 7 publications

(8 citation statements)

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“…As a result, the econometric test ignoring spatial factors in empirical studies can be invalid to some extent and may lead to bias and inefficiency in explaining the economic facts. Some researchers propose that regional economic growth is proved to have a significant spatial correlation thus the spatial factor has an important influence on convergence (Rey and Montouri, ; Battisti and Di Vaio, ). Furthermore, as China has a vast territory with enormous economic gaps between regions, it is necessary to introduce a spatial correlation mode to help investigate the disparity of regional economic growth and income level.…”

Section: Spatial Convergence Modelmentioning

confidence: 99%

The Role of Foreign Direct Investment on Income Convergence in China after Early 1990s from a Spatial Econometric Perspective

Jia

2015

Review Development Economics

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This paper introduces foreign direct investment (FDI) as an endogenous variable based on a neoclassical model of economic growth and investigates the impact of FDI on income convergence in China using provincial panel data from 1991 to 2007. A spatial model is later exploited to further examine the effect of FDI on convergence in China in light of remarkable and positive spatial correlations among neighboring regions. Results of estimates confirm the role of FDI inflow as a significant driving force to promote conditional convergence in China after the early 1990s. They also confirm that the non-spatial classical model underestimates the impact of FDI on regional economic growth and also underestimates the speed of convergence.

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Section: Spatial Convergence Modelmentioning

confidence: 99%

The Role of Foreign Direct Investment on Income Convergence in China after Early 1990s from a Spatial Econometric Perspective

Jia

2015

Review Development Economics

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“…These criteria improve when adding interaction effects to the model, but also include a penalty function which increases with the number of estimated parameters to discourage overfitting. Other spatial econometric studies also use these criteria as a mean to model selection, among which Le Gallo et al (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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“…More recently, studies on income convergence among countries participating in regional integration began to emerge. Fischer and Stirbock (2006) and Battisti and Vaio (2008) have studied optimal regional convergence clubs in the European Union. The primary goal of these studies is to define regional clubs sharing the same characteristics in terms of income growth convergence within the European Union.…”

Section: Literature Reviewmentioning

confidence: 99%

Why Participate in the “One Belt and One Road” Initiative? An Income Convergence Approach

Lau

et al. 2018

Singapore Econ. Rev.

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This paper seeks to investigate the motivations of countries that participate in the One Belt and One Road (B&R) Initiative, a China-led economic development programme with the intention of enhancing regional economic cooperation. We examine the income convergence hypothesis for B&R countries with both linear and nonlinear unit root tests to detect the presence of economic integration over the periods 1960–2016 and 1979–2016. For the B&R countries that are found to show income convergence to China in our income convergence testing, we argue that they tend to have a strong existing economic relationship with China. By contrast, the countries that have relatively weak economic relationships with China tend to show no convergence to China, and they take advantage of the B&R as an opportunity to catch up. Moreover, we find evidence that more countries converge to China’s real per capita income for the years after 1978 when China started its transition to a market economy and initiated the open-door policy to embrace globalization. The results suggest that China contributes to a higher degree of income convergence in regional integration.

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

Abstract: In the html version the spelling of the name "Gianfranco Di Vaio" is incorrect. In the heading of the html version there is an incorrect space in "β-convergence".The online version of the original article can be found under

Cited by 7 publications

References 0 publications

The Role of Foreign Direct Investment on Income Convergence in China after Early 1990s from a Spatial Econometric Perspective

The Role of Foreign Direct Investment on Income Convergence in China after Early 1990s from a Spatial Econometric Perspective

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

Why Participate in the “One Belt and One Road” Initiative? An Income Convergence Approach

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