Efficiency socio-economic input factor of grain production based on DEA-ESDA

• Published in: 2010 18th International Conference on Geoinformatics pp. 1 - 5
• Main Authors: Qian Wang, Xiaobin Jin, Yinkang Zhou
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2010
• Subjects: Analytical models; Correlation; DEA; Economics; ESDA; Geographic Information Systems; GIS; grain production; Layout; Malmquist; Productivity
• ISBN: 1424473012; 9781424473014
• ISSN: 2161-024X
• DOI: 10.1109/GEOINFORMATICS.2010.5567959

Efficiency of input factors is key factor to increase grain production. This paper utilizes of data envelopment analysis model (DEA) and the methods of exploratory spatial data analysis (ESDA) with GIS spatial analytical technology, to measure social and economic factor efficiency of grain production, analyze spatial-temporal changes and regulations, between 1990 and 2005 on 172 counties in Hebei Province of china. The result showed: the DEA and ESDA models combined with GIS spatial analytical method can objectively and precisely estimate the social and economic factor efficiency of grain production and spatially and visually express the result availably. The spatial concentration effect of grain production input factor efficiency in Hebei Province is significant, Global-spatial Autocorrelation coefficient, between 1990 and 2005, is larger than 0.35. The features of Local-Autocorrelation Spatial layout are significant. Correlation analysis indicated that the TFP factor influencing grain production input factor efficiency during the research period had alternate changes. In the future, the concentration degree of factor should be strengthened in grain production in order to increase the intensive use of farmland and increase the scale performance of input factors.