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2010•Unpublished venueRequires access

The spatial pattern analysis of economic growth of JingJinJi Metropolitan Region

Jian Lian, Xiaojuan Li, Huili Gong, Yanbing Wang, Yon Sun

Open publisher page 2 citations

Abstract

The regional economic disparity is always a research hot spot to domestic and foreign scholars. In this paper, the Beijing-Tianjin-Hebei metropolitan region was taken as research object; methods of exploratory spatial data analysis and spatial autocorrelation model provide new insights to explore spatial dependence relation of JingJinJi Metropolitan Region over the 2001-2006 periods. Through spatial trend and character analysis, the Trend Info TuPu of GDP and population in this region was created. Furthermore, the certificated spatial data analysis method was introduced to construct the fit spatial relation model for the economic growth process, including spatial error model (SRM), spatial lag model (SLM), to further confirmed the spatial relation effect in the regional economic growth.

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What this paper is about

The regional economic disparity is always a research hot spot to domestic and foreign scholars. In this paper, the Beijing-Tianjin-Hebei metropolitan region was taken as research object; methods of exploratory spatial data analysis and spatial autocorrelation model provide new insights to explore spatial dependence relation of JingJinJi Metropolitan Region over the 2001-2006 periods. Through spatial trend and character analysis, the Trend Info TuPu of GDP and population in this region was created. Furthermore, the certificated spatial data analysis method was introduced to construct the fit spatial relation model for the economic growth process, including spatial error model (SRM), spatial lag model (SLM), to further confirmed the spatial relation effect in the regional economic growth.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The regional economic disparity is always a research hot spot to domestic and foreign scholars. In this paper, the Beijing-Tianjin-Hebei metropolitan region was taken as research object; methods of exploratory spatial data analysis and spatial autocorrelation model provide new insights to explore spatial dependence relation of JingJinJi Metropolitan Region over the 2001-2006 periods. Through spatial trend and character analysis, the Trend Info TuPu of GDP and population in this region was created. Furthermore, the certificated spatial data analysis method was introduced to construct the fit spatial relation model for the economic growth process, including spatial error model (SRM), spatial lag model (SLM), to further confirmed the spatial relation effect in the regional economic growth.

Key concepts: Metropolitan area, Spatial analysis, Beijing, Spatial econometrics, Relation (database), Geography, Population, Lag

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