Yanhua Liu|Yong Xu
A geographic identification of multidimensional poverty in rural China under the framework of sustainable livelihoods analysis
Chinese Academy of Sciences|Institute of Geographic Sciences and Natural Resources Research|Zhejiang University of Finance and Economics|Institute of Geographic Sciences and Natural Resources Research|Chinese Academy of Sciences
developing methods measuring multidimensional poverty improving accuracy poverty identification hot topics international poverty research decades also key issues improving quality effectiveness rural poverty reduction programs china far selection integration poverty indicators remains main difficult measurement multidimensional poverty guided sustainable livelihoods framework developed uk department international development dfid index system integration method geographical identification multidimensional poverty established used carry countylevel identification poverty rural china additionally comparisons made identification results counties singledimension income poverty rural areas poor counties designated chinese central government results showed total 655 counties 141 million rural residents identified multidimensionally poor concentrated conjointly distributed geographically evil natural conditions common features comparison income poor designated poor counties multidimensionally poor counties worse singledimensional composite scores also multiple disadvantages deprivations identifying disadvantage deprived dimensions measurement multidimensional poverty helpful county work implement antipoverty programs accordingly would make contribution improve sustainability poverty reduction hopefully research may also shed light multidimensional poverty measurement developing countries