Using Spatial Panel Data in Modelling Regional Growth and Convergence

Arbia, Giuseppe; Basile, Roberto; Piras, Gianfranco

doi:10.2139/ssrn.936321

Cited by 52 publications

(45 citation statements)

References 20 publications

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“…The panel data approach with spatial effects has been developed more recently in Elhorst (2001 and, and recent applications include , Arbia, Basile and Piras (2005), Arbia, Elhorst and Piras (2005) and Elhorst (2005).…”

Section: -Convergencementioning

confidence: 99%

Economic and Social Convergence in Colombia

Royuela

García²

2013

Regional Studies

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GDP has usually been used as a proxy for human well-being. Nevertheless, other social aspects should also be considered, such as life expectancy, infant mortality, educational enrolment and crime issues. This paper investigates economic and social convergence Convergencia económica y social en Colombia Resumen (ESPAÑOL)El PIB se usa habitualmente como aproximación al bienestar de las personas. Sin embargo otros aspectos sociales deben ser a su vez considerados, como la esperanza de vida, la mortalidad infantil, la educación y la criminalidad. Este trabajo investiga ña convergencia económica y social en regiones de Colombia en el período 1975-2005. Los principales resultados confirman que existe convergencia en Colombia en variables sociales clave, aunque no en la clásica variable económica, el PIB per capita. También se encuentra que la autocorrelación espacial refuerza los procesos de convergencia a través de la profundización de los factores sociales y de mercado, mientras que el aislamiento condena a las regiones a la no convergencia.

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Section: -Convergencementioning

confidence: 99%

Economic and Social Convergence in Colombia

Royuela

García²

2013

Regional Studies

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“…From a methodological point of view, ignoring the neighborhood effect will create two problems, spatial dependence and spatial heterogeneity. Ignoring spatial dependence violates the basic assumptions of least square estimates which causes the results to be biased and inconsistent, while spatial heterogeneity causes the instability or non-stationarity of economic relationships over space (see Arbia, Basile, and Piras 2005;Anselin 1988). 3.…”

Section: Notesmentioning

confidence: 99%

“…11. These tests are called Moran's I test, LM, LR and Wald (for detail, see Arbia, Basile, and Piras 2005). 12.…”

Section: Notesmentioning

confidence: 99%

Technology Spillovers and International Borders: A Spatial Econometric Analysis

Naveed

Ahmad

2016

Journal of Borderlands Studies

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The borders of the EU are open for the movement of resources but still there can be some strong negative effects of international borders on productivity and knowledge spillovers compared to the internal regional borders. These negative effects could be due to language barriers, cultural differences, local rules and regulation, legal issues, property rights, etc. These effects of international borders have an economic significance that need to be controlled when analyzing the regional knowledge spillovers. This aspect related to international borders has not been fully taken into account in the existing literature related to knowledge spillovers, therefore, ignoring this effect might under-or overestimate the effect of knowledge and technology spillovers. The results show that technology and knowledge spillovers are mainly coming from internal neighbor regions only, whereas spillovers across the international borders are statistically insignificant. Moreover, the results show that not properly incorporating border effects will lead to inaccurate estimates of the spillovers.

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“…(1) Considering the spatio-temporal correlation into spatio-temporal data models and their empirical analyses, such as the spatio-temporal series modeling and application in fields including real estate prices (Kelly et al, 1998;Pace et al, 1998Pace et al, , 2000Tu et al, 2004;Sun et al, 2005;Smith et al, 2009;Asuncion et al, 2010;Brady, 2011), regional economy (Arbia et al, 2005;Robert et al, 2007), traffic (Kamarianakis et al, 2005;Han et al, 2007;Yue and Yeh, 2008), epidemic (Reynolds et al, 1988;Wang, 2006) and ecological environment (Cressie et al, 1997;Akito et al, 2011), etc. In these researches, the global spatio-temporal autocorrelation function is mainly employed to identify the space lag order and time lag period of the study objects, or 1-order spatial and temporal lags are directly set, then spatio-temporal regression or forecasting modeling is conducted.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal association analysis of county potential in the Pearl River Delta during 1990–2009

Mei

Ouyang

2015

J. Geogr. Sci.

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According to the highway data and some socioeconomic data of 1990, 1994, 2000, 2005 and 2009 of county units in the Pearl River Delta, this paper measured urban integrated power of different counties in different years by factor analysis, and estimated each county's potential in each year by means of expanded potential model. Based on that, the spatio-temporal association patterns and evolution of county potential were analyzed using spatio-temporal autocorrelation methods, and the validity of spatio-temporal association patterns was verified by comparing with spatial association patterns and cross-correlation function. The main results are shown as follows: (1) The global spatio-temporal association of county potential showed a positive effect during the study period. But this positive effect was not strong, and it had been slowly strengthened during 1994-2005 and decayed during 2005-2009. The local spatio-temporal association characteristics of most counties' potential kept relatively stable and focused on a positive autocorrelation, however, there were obvious transformations in some counties among four types of local spatio-temporal association (i.e., HH, LL, HL and LH).(2) The distribution difference and its change of local spatio-temporal association types of county potential were obvious. Spatio-temporal HH type units were located in the central zone and Shenzhen-Dongguan region of the eastern zone, but the central spatio-temporal HH area shrunk to the Guangzhou-Foshan core metropolitan region only after 2000; the spatio-temporal LL area in the western zone kept relatively stable with a surface-shaped continuous distribution pattern, new LL type units emerged in the south-central zone since 2005, the eastern LL area expanded during 1994-2000, but then gradually shrunk and scattered at the eastern edge in 2009; the spatio-temporal HL and LH areas varied significantly. (3) The local spatio-temporal association patterns of county potential among the three zones presented significant disparity, and obvious difference between the eastern and central zones tended to decrease, whereas that between the western zone and the central and eastern zones further expanded.(4) Spatio-temporal autocorrelation methods can efficiently mine the spatio-temporal association patterns of county potential, and can better reveal the complicated spatio-temporal interaction between counties than ESDA methods.

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Using Spatial Panel Data in Modelling Regional Growth and Convergence

Cited by 52 publications

References 20 publications

Economic and Social Convergence in Colombia

Economic and Social Convergence in Colombia

Technology Spillovers and International Borders: A Spatial Econometric Analysis

Spatio-temporal association analysis of county potential in the Pearl River Delta during 1990–2009

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