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• W2091464980 abstract "Abstract. This study investigates spatial dependence and mechanisms of regional development in Greater Beijing, China by employing spatial statistical techniques. We have detected positive, strengthening global spatial autocorrelation from 1978 to 2001, and found such strengthening is the result of newly formed/extended clusters in the area. The local analysis recognizes local regimes of two-tier urban-rural spatial structure at the beginning of the reform period. While the urban-rural divide was lessening due to the reform, a north-south divide has emerged because of local natural conditions and development trajectories. Regarding mechanisms of regional development, ordinary least squares analysis is constrained by the existence of significant spatial autocorrelation among spatial units. Analytical results reveal that an error spatial regression model is a more appropriate alternative due to possible mismatch between boundaries of the underlying spatial process and the spatial units where data are organised. In 1995 and 2001, the signs of all the regression coefficients remained the same for both OLS and spatial models. However, their magnitude and significance change. Specifically, foreign direct investment and fixed-asset investment became less influential in the spatial model, while local government spending emerged as more influential. Abstract. Este estudio investiga la dependencia especial y los mecanismos de desarrollo regional en el Gran Beijing, China, empleando técnicas estadísticas espaciales. Hemos detectado una autocorrelación espacial global en aumento y positiva desde 1978 al 2001, y hallado que dicho aumento es el resultado de clusters formados/ampliados recientemente en el área. El análisis local reconoce regimenes locales de estructura espacial urbana-rural de dos niveles al inicio del periodo de reforma. Mientras que la separación urbana-rural fue disminuyendo con la reforma, ha aparecido una separación norte-sur por condiciones naturales locales y trayectorias de desarrollo. Respecto de los mecanismos de desarrollo regional, el análisis de mínimos cuadrados ordinario (OLS) se ve restringido por la existencia de una autocorrelación espacial significativa entre unidades espaciales. Los resultados de análisis revelan que un modelo de regresión del error espacial es una alternativa más apropiada debido a una posible disparidad entre los límites del proceso espacial subyacente y las unidades espaciales donde están organizados los datos. En 1995 y en 2001, los signos de todos los coeficientes de regresión permanecieron iguales para OLS y modelos espaciales. Sin embargo, su magnitud y significancia cambian. En particular, la inversión extranjera directa y la inversión en activos fijos pasaron a ser menos influyentes en el modelo espacial, mientras que el gasto del gobierno local apareció más influyente." @default.
• W2091464980 created "2016-06-24" @default.
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• W2091464980 date "2008-03-01" @default.
• W2091464980 modified "2023-10-01" @default.
• W2091464980 title "Spatial data analysis of regional development in Greater Beijing, China, in a GIS environment" @default.
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• W2091464980 doi "https://doi.org/10.1111/j.1435-5957.2007.00148.x" @default.
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