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Research on Temporal-spatial Evolution of Regional Disparity of Forestry Total Factor Productivity in China

机译:中国林业全要素生产率区域差异的时空演变研究

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摘要

In this study, the methods of the Malmquist index analysis, global spatial autocorrelation analysis and local spatial autocorrelation are used to calculate and analyze the temporal and spatial evolution of the Forestry Total Factor Productivity based on the data from 30 provinces in China from 1997 to 2012 by using the software DEAP2.1, DeoDa, ArcGIS. The results show the following: The Forestry Total Factor Productivity presented obvious fluctuations in temporal patterns but presented stable characteristics in spatial patterns; The Forestry Total Factor Productivity showed the characteristics of discrete distribution from 1997 to 2003 and showed the characteristics of concentrated distribution from 2003 to 2012; The Forestry Total Factor Productivity in China presented obvious binary space structure; The high value agglomeration area gradually had become concentrated in the Shandong, Jiangsu and Zhejiang provinces and low concentration areas were mainly distributed in Gansu, Qinghai, Szechwan and other surrounding provinces. The main reasons for spatial distribution of Forestry Total Factor Productivity in China were the differences of macro-policy on forestry, lacking and changing of investments in forestry science and technology, the difference of forestry resource distribution and unbalanced regional economic development level.
机译:本文采用马尔姆奎斯特指数分析,全局空间自相关分析和局部空间自相关的方法,根据中国30个省份1997年至2012年的数据,对林业全要素生产率的时空演变进行了计算和分析。通过使用软件DEAP2.1,DeoDa,ArcGIS。结果表明:林业全要素生产率在时间格局上表现出明显的波动,但在空间格局上表现出稳定的特征。林业全要素生产率从1997年到2003年呈离散分布特征,从2003年到2012年呈集中分布特征;中国林业全要素生产率呈现明显的二元空间结构。高价值集聚区逐渐集中在山东,江苏和浙江三省,低集聚区主要分布在甘肃,青海,四川等周边省份。中国林业全要素生产率空间分布的主要原因是林业宏观政策的差异,林业科技投入的缺乏和变化,林业资源分布的差异以及区域经济发展水平的不均衡。

著录项

  • 来源
    《Advance journal of food science and technology》 |2015年第5期|332-341|共10页
  • 作者单位

    School of Economics and Management, Beijing Forestry University, Beijing 100083, China,College of Agriculture and Natural Resources, Michigan State University, East Lansing 48824, United States;

    School of Economics and Management, Beijing Forestry University, Beijing 100083, China;

    School of Economics and Management, Beijing Forestry University, Beijing 100083, China,Faculty of Agriculture and Forestry, University of Helsinki, Helsinki 00014, Finland;

    Center for Systems Integration and Sustainability, Michigan State University, East Lansing 48823, United States;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Forestry total factor productivity; regional disparity; temporal-spatial evolution;

    机译:林业全要素生产率;区域差异;时空演变;

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