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Measuring potential food productivit

時間:2023-04-26 05:33:21 環(huán)境保護論文 我要投稿
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Measuring potential food productivity for different areas in Songnen Plain based on analytic hierarchy process

Abstract: The improved analytic hierachy process method was utilized in this paper,and a variety of factors influencing the food production were classified into several interrelated orderly objectives layers; based on the works above this paper made an scientific assessment on the influencing factors of food production and production potential of the vrious regions in the Songnen Plain.The weights and composite indices were calculated with the method of solving weight by AHP's accumulation factor sequence evaluating data,and were processed by single-level sorting and general sorting.The result showed that,the region of Changchun had the biggest potential for improving food production,but smallest for Heihe region.The key reason for the food production discrepancy of a variety of regions in Songnen Plain is the differences in scale of production and climatic conditions,the weight coefficients of which are 0.3654 and 0.2742; however,the weight coefficients of agricultural science and technology investment is very low just 0.1703 which should be increasted in the future. 作 者: YAO Zuo-fang    LIU Xing-tu    YANG Fei    YAN Min-hua    MENG Jun    LIU Qiu-mei   作者單位: YAO Zuo-fang(Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130012,P.R.China;Graduate University,Chinese Academy of Sciences,Beijing 100039,P.R.China)

LIU Xing-tu,YAN Min-hua(Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130012,P.R.China)

YANG Fei(Institute of Geographic Science and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,P.R.China)

MENG Jun,LIU Qiu-mei(Northeast Agricultural University,Harbin 150030,P.R.China) 

期 刊: 生態(tài)經(jīng)濟(英文版)    Journal: ECOLOGICAL ECONOMY  年,卷(期): 2010, 06(2)  分類號: X3  Keywords: Analytic hierarchy process    Accumulation factor    Food productivity potential   

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