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河北省县域农业机械化水平的分异格局及其影响因素

唐林楠 吴彦澎 刘玉 唐秀美

北京大学学报(自然科学版)2017,Vol.53Issue(3):421-428,8.
北京大学学报(自然科学版)2017,Vol.53Issue(3):421-428,8.DOI:10.13209/j.0479-8023.2017.006

河北省县域农业机械化水平的分异格局及其影响因素

Spatial Differentiation and Its Driving Factors of Agricultural Mechanization Level: A Case Study of Hebei Province

唐林楠 1吴彦澎 2刘玉 3唐秀美4

作者信息

  • 1. 国家农业信息化工程技术研究中心,北京 100097
  • 2. 北京农业信息技术研究中心,北京 100097
  • 3. 农业部农业信息技术重点实验室,北京 100097
  • 4. 北京市农林科学院,北京 100097
  • 折叠

摘要

Abstract

This paper made a comprehensive discussion about the spatial differentiation, evolution trend, correlation and driving factors of the regional agricultural mechanization level by using TOPSIS method, trend surface analysis, ESDA and GWR model. The results show that Hebei county's agricultural mechanization level presents obvious spatial directivity and topographical distribution differences in 2013. The agricultural mechanization level develops better in central southeast plain, followed by the northwest plateau, and hilly region relatively worse. There exists a significant spatial autocorrelation characteristic and regional convergence phenomenon. The southern area of Hebei major in HH type, and northern area major in LL type. GWR shows great superiority in explaining the spatial non-stationary of elements, and reveals both positive and negative correlations between farmland scale and plant structure (expect for terrain), which is different from OLS result that all the factors are positive. In the future the government can consider such measures as enhancing the cultivated land scale and proportion of planting structure in the plateau area, considering other factors in the plain area to promote county's agricultural mechanization level.

关键词

农业机械化水平/空间分异格局/影响因素/地理加权回归模型/河北省

Key words

agricultural mechanization level/spatial differentiation pattern/driving factor/GWR/Hebei Province

分类

管理科学

引用本文复制引用

唐林楠,吴彦澎,刘玉,唐秀美..河北省县域农业机械化水平的分异格局及其影响因素[J].北京大学学报(自然科学版),2017,53(3):421-428,8.

基金项目

国家自然科学基金(41401193, 41401203)资助 (41401193, 41401203)

北京大学学报(自然科学版)

OA北大核心CSCDCSTPCD

0479-8023

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