DocumentCode :
573474
Title :
A spatial econometrics analysis on regional disparities of agricultural mechanization in China
Author :
Min, Min ; Jiaying, Chen
Author_Institution :
Coll. of Land Manage., Huazhong Agric. Univ., Wuhan, China
fYear :
2012
fDate :
2-4 Aug. 2012
Firstpage :
1
Lastpage :
5
Abstract :
The aim of the paper is to discover the spatial distribution of agricultural mechanization and investigate the possible influential factors of spatial disparities of agricultural mechanization in China. The statistic data at provincial-level in the year of 2009 were collected to achieve the objective. Method of exploratory spatial data analysis (ESDA) is applied to examine the spatial structure and spatial distribution of agricultural mechanization. With global and local spatial autocorrelation analysis, it can be drawn that there is evidence of spillover in the agriculture mechanization among different provinces. Further, we use spatial regression models to analyze the influential factors. The result shows that rural per capita net income, educated population, and per capita cultivated land have significant influence on present spatial disparities of agricultural mechanization in China.
Keywords :
agriculture; data analysis; econometrics; regression analysis; China; ESDA method; agricultural mechanization; autocorrelation analysis; econometrics analysis; educated population; exploratory spatial data analysis; rural per capita net income; spatial disparity; spatial regression model; spillover; statistic data; Agricultural machinery; Biological system modeling; Correlation; Data analysis; Econometrics; Estimation; Spatial databases; Moran´s I; agricultural mechanization; regional disparities; spatial autocorrelation; spatial econometric analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-2495-3
Electronic_ISBN :
978-1-4673-2494-6
Type :
conf
DOI :
10.1109/Agro-Geoinformatics.2012.6311702
Filename :
6311702
Link To Document :
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