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基于 LMDI 分解模型的山东省粮食产量时空差异及影响因素研究

王冲

山东农业科学2016,Vol.48Issue(3):169-172,4.
山东农业科学2016,Vol.48Issue(3):169-172,4.DOI:10.14083/j.issn.1001-4942.2016.03.039

基于 LMDI 分解模型的山东省粮食产量时空差异及影响因素研究

Study on Spatiotemporal Differences and Influence Factors of Grain Yield in Shandong Province Based on LMDI Decomposition Model

王冲1

作者信息

  • 1. 青岛科技大学经济与管理学院,山东 青岛 266061
  • 折叠

摘要

Abstract

Shandong is a big province in agriculture,and its grain yield has a significant impact on the national food supply.The characteristics of space and time changes of grain yield in Shandong Province during 1996 ~2012 were analyzed using LDMI model,and the influences of different factors,such as farmland area, cropping index,grain yield per unit area and grain crop ratio,on grain yield were made quantitative analyses. The results indicated that the grain production in Shandong generally showed a rise trend from 1996 to 2012, which increased from 47.07 million ton in 1996 to 53.55 million ton in 2012.Factor decomposition analysis showed that the total grain growth mainly depended on the increases of grain yield per unit area and cultivated land area.The contribution value of every factor decreased with the passage of time,and the growth of total grain output slowed down.Through above analysis,the driving factors of the change of total grain output in Shandong were explored,which would provide references and bases for ensuring grain production.

关键词

粮食产量/因素分解/LMDI模型/山东省

Key words

Grain yield/Factor decomposition/LMDI model/Shandong Province

分类

管理科学

引用本文复制引用

王冲..基于 LMDI 分解模型的山东省粮食产量时空差异及影响因素研究[J].山东农业科学,2016,48(3):169-172,4.

基金项目

青岛科技大学人文社科基金项目“山东省农户耕地投入的空间差异及影响因素研究” ()

山东农业科学

OACSTPCD

1001-4942

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