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     Advance Journal of Food Science and Technology

    Abstract
2015(Vol.7, Issue:3)
Article Information:

Evaluation of Production Efficiency of the County-level Crop Farming in He'nan Based on GIS and DEA

Liu Yu, Ren Yan-Min, Pan Yu-Chun and Sun Chao
Corresponding Author:  Pan Yu-Chun 
Submitted: ‎August ‎03, ‎2014
Accepted: ‎September ‎22, ‎2014
Published: February 05, 2015
Abstract:
The aim of this study is to reveal the resource utilization pattern of county-level crop farming production in He'nan in 2010, which can provide scientific basis for formulation of crop farming production policies and adjustment of production elements. The empirical analysis of the production efficiency of 126 country-level crop farming in He'nan in 2010 is conducted by applying GIS software and DEA model from three aspects of "combined efficiency", "technical efficiency" and "scale efficiency" and non-DEA effective states of mechanical power input, pesticide input, effective irrigation area and so on are revealed. The results show that: the average value of the combined efficiency of crop farming in the research period is 0.69 and the county-level spatial differentiation is remarkable; the technical efficiency is the main factors influencing the combined efficiency and its spatial pattern is basically consistent with the spatial pattern of the combined efficiency; the average value of the scale efficiency of crop farming is 0.95, which indicates that the overall scale efficiency of crop farming in He'nan is at a higher level; it further reveals looseness of various input elements in various counties. It is suggested to optimize and adjust the element input amount and input structure by type and improve the combined efficiency of crop farming.

Key words:  Crop farming, DEA model, He'nan, production efficiency, spatial pattern , ,
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Cite this Reference:
Liu Yu, Ren Yan-Min, Pan Yu-Chun and Sun Chao, . Evaluation of Production Efficiency of the County-level Crop Farming in He'nan Based on GIS and DEA. Advance Journal of Food Science and Technology, (3): 154-158.
ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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