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Acta Geographica Sinica, Volume. 75, Issue 8, 1633(2020)

China's multidimensional poverty measurement and its spatiotemporal interaction characteristics in the perspective of development geography

Gui JIN1,2、*, Xiangzheng DENG2, Yin DONG3, and Feng WU2
Author Affiliations
  • 1School of Economics and Management, China University of Geosciences, Wuhan 430074, China
  • 2Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • 3School of Public Administration, China University of Geosciences, Wuhan 430074, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
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    References (38)
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    Figures & Tables(9)
    Impulse response results of various variables to multidimensional poverty characteristic indicators

    Fig. 1. Impulse response results of various variables to multidimensional poverty characteristic indicators

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    Variance decomposition results of poverty indicators

    Fig. 2. Variance decomposition results of poverty indicators

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    Provincial single dimensional poverty measurement results in 2007, 2012 and 2017

    Fig. 3. Provincial single dimensional poverty measurement results in 2007, 2012 and 2017

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    Comprehensive measurement results of multidimensional poverty in 2007, 2012 and 2017

    Fig. 4. Comprehensive measurement results of multidimensional poverty in 2007, 2012 and 2017

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    Spatial distribution of LISA time path geometric feature

    Fig. 5. Spatial distribution of LISA time path geometric feature

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    Spatio-temporal network of multidimensional poverty interaction among provinces in China

    Fig. 6. Spatio-temporal network of multidimensional poverty interaction among provinces in China

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    • Table 1. Candidate set of poverty measurement indicators

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      Table 1. Candidate set of poverty measurement indicators

      维度指标含义符号
      收入贫困AA0人均年储蓄(元/人)表征收入贫困lnPSD
      A1人均GDP(元/人)反映区域经济发展水平lnPGDP
      A2非农产业比重(%)反映地区产业结构及就业结构lnIS
      A3人均社会保障支出(元/人)反映居民社会保障待遇水平高低lnPSSE
      A4社会总抚养比(%)反映人口总体中劳动年龄人口的抚养负担lnGDR
      A5农作物受灾比(%)反映遭受自然灾害的概率和易受影响程度lnFCA
      健康贫困BB0疾病发病率(‱)表征健康贫困lnIDI
      B1人均公共卫生支出(元/人)反映政府在公共医疗卫生领域的投入力度lnPPHE
      B2每万人医院数(个/万人)反映地区基本公共卫生服务可及性lnPHOS
      B3新型农村合作医疗参合率(%)反映农村医疗覆盖水平lnNCMS
      B4城镇居民医保参保率(%)反映居民基本医疗保健服务的覆盖范围lnUHI
      B5植被覆盖率(%)反映区域环境本底质量好坏lnFCR
      文化贫困CC0文盲率(%)表征文化贫困lnIR
      C1人均教育支出(元/人)反映公共教育财政投资力度lnPEF
      C2高校数量(所)反映高等教育的形成水平lnHEDU
      C3生师比(%)反映地区教育人力资源配置状况lnSTR
      C4人均科学研究与试验发展(R&D)支出(元/人)反映地区科技财力资源投入强度lnPRD
      C5人均文化事业经费(元/人)反映基层群众公共文化服务建设水平lnPMCE

    • Table 2. Estimation results of influence relationship between indicator variables

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      Table 2. Estimation results of influence relationship between indicator variables

      变量h_dlnPSD变量h_dlnIDI变量h_dlnIR
      Lag.h_dlnPSD0.371***(-5.91)Lag.h_dlnIDI-0.062(-0.57)Lag.h_dlnIR-0.182***(-2.88)
      Lag.h_dlnPGDP0.109***(-3.25)Lag.h_dlnPPHE-0.199**(-2.54)Lag.h_dlnPEF-0.138(-1.24)
      Lag.h_dlnIS0.234(-0.68)Lag.h_dlnPHOS-0.363**(-1.96)Lag.h_dlnHEDU-0.394(-0.57)
      Lag.h_dlnPSSE0.096***(-4.00)Lag.h_dlnNCMS-1.497***(-3.79)Lag.h_dlnSTR0.060(-0.12)
      Lag.h_dlnGDR-0.027(-0.97)Lag.h_dlnUHI0.056(-1.15)Lag.h_dlnPRD-0.373**(-2.08)
      Lag.h_dlnFCA-0.006***(-4.66)Lag.h_dlnFCR-0.237***(-4.01)Lag.h_dlnPMCE-0.197***(-3.06)
      Lag2.h_dlnPSD0.032(-0.97)Lag2.h_dlnIDI-0.027(-0.37)Lag2.h_dlnIR-0.029(-0.57)
      Lag2.h_dlnPGDP0.070**(-2.12)Lag2.h_dlnPPHE-0.058(-0.88)Lag2.h_dlnPEF-0.231**(-2.53)
      Lag2.h_dlnIS0.088(-0.37)Lag2.h_dlnPHOS-0.334**(-2.14)Lag2.h_dlnHEDU-5.987***(-6.14)
      Lag2.h_dlnPSSE0.019(-1.15)Lag2.h_dlnNCMS0.620(-1.02)Lag2.h_dlnSTR0.084(-0.30)
      Lag2.h_dlnGDR-0.071***(-2.87)Lag2.h_dlnUHI-0.039(-1.07)Lag2.h_dlnPRD-0.094(-0.86)
      Lag2.h_dlnFCA-0.005***(-4.34)Lag2.h_dlnFCR0.051(-0.49)Lag2.h_dlnPMCE-0.056(-1.23)

    • Table 3. Spatio-temporal transition matrices of multidimensional poverty

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      Table 3. Spatio-temporal transition matrices of multidimensional poverty

      时段HHLHLLHL
      2007—2012年HHⅠ型(晋豫鄂桂渝川黔滇甘青宁新)Ⅱ型(蒙陕)Ⅳ(1)型Ⅲ型
      LHⅡ型(鲁湘)Ⅰ型(辽粤)Ⅲ型(黑)Ⅳ(2)型
      LLⅣ(1)型Ⅲ型Ⅰ型(京津吉沪苏浙闽)Ⅱ型
      HLⅢ型Ⅳ(2)型Ⅱ型Ⅰ型(冀皖赣琼)
      2012—2017年HHⅠ型(晋鲁豫鄂湘川滇甘青宁新)Ⅱ型(渝黔)Ⅳ(1)型Ⅲ型(桂)
      LHⅡ型(蒙)Ⅰ型(辽粤陕)Ⅲ型Ⅳ(2)型
      LLⅣ(1)型(黑)Ⅲ型Ⅰ型(京津沪苏浙闽)Ⅱ型(吉)
      HLⅢ型Ⅳ(2)型Ⅱ型Ⅰ型(冀皖赣琼)
      2007—2017年HHⅠ型(晋蒙豫鄂川滇甘青宁新)Ⅱ型(渝黔陕)Ⅳ(1)型Ⅲ型(桂)
      LHⅡ型(黑鲁湘)Ⅰ型(辽粤)Ⅲ型Ⅳ(2)型
      LLⅣ(1)型Ⅲ型Ⅰ型(京津沪苏浙闽)Ⅱ型(吉)
      HLⅢ型Ⅳ(2)型Ⅱ型Ⅰ型(冀皖赣琼)
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    Gui JIN, Xiangzheng DENG, Yin DONG, Feng WU. China's multidimensional poverty measurement and its spatiotemporal interaction characteristics in the perspective of development geography[J]. Acta Geographica Sinica, 2020, 75(8): 1633

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    Paper Information

    Received: Nov. 6, 2019

    Accepted: --

    Published Online: Apr. 14, 2021

    The Author Email: JIN Gui (jingui@igsnrr.ac.cn)

    DOI:10.11821/dlxb202008006

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