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    Journals >Acta Geographica Sinica >Volume 75 >Issue 8 >Page 1633 > Article
    • Acta Geographica Sinica
    • Vol. 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
    • show less
    DOI: 10.11821/dlxb202008006 Cite this Article
    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 Copy Citation Text show less
    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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    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 1. Candidate set of poverty measurement indicators
    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 2. Estimation results of influence relationship between indicator variables
    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)
    Table 3. Spatio-temporal transition matrices of multidimensional poverty
    Abstract
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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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