2010Journal of Hunan Agricultural University(Social Sciences)Requires access

Spatial distribution and correlation of agriculture economic development in China:Based on the panel data in 1985—2008 of 31 provinces, autonomous region and municipality

Cao Yue-quna

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Abstract

Based on the panel data of China's 31 regions during 1985~2008,this paper measures the spatial autocorrelation,spatial cluster characteristics and the trend of spatial dynamic evolution of agriculture economic development by using the spatial econometrics analysis.The analysis result is that there are significant features of non-random spatial cluster and convergence trend.The Eastern is mainly High-High type cluster region,the Western region is mainly Low-Low type cluster area,and less atypical provinces.There is an obviously strengthen trend in spatial driving force of High-High type cluster region.

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What this paper is about

Based on the panel data of China's 31 regions during 1985~2008,this paper measures the spatial autocorrelation,spatial cluster characteristics and the trend of spatial dynamic evolution of agriculture economic development by using the spatial econometrics analysis.The analysis result is that there are significant features of non-random spatial cluster and convergence trend.The Eastern is mainly High-High type cluster region,the Western region is mainly Low-Low type cluster area,and less atypical provinces.There is an obviously strengthen trend in spatial driving force of High-High type cluster region.

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Available abstract

Based on the panel data of China's 31 regions during 1985~2008,this paper measures the spatial autocorrelation,spatial cluster characteristics and the trend of spatial dynamic evolution of agriculture economic development by using the spatial econometrics analysis.The analysis result is that there are significant features of non-random spatial cluster and convergence trend.The Eastern is mainly High-High type cluster region,the Western region is mainly Low-Low type cluster area,and less atypical provinces.There is an obviously strengthen trend in spatial driving force of High-High type cluster region.

Key concepts: Spatial analysis, Spatial distribution, Cluster (spacecraft), China, Panel data, Geography, Distribution (mathematics), Agriculture

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