A PPI-MVM Model for Identifying Poverty-Stricken Villages: A Case Study from Qianjiang District in Chongqing, China-Reference-Cited by-同舟云学术

A PPI-MVM Model for Identifying Poverty-Stricken Villages: A Case Study from Qianjiang District in Chongqing, China

Published:2015-11-23 Issue:2 Volume:130 Page:497-522
ISSN:0303-8300
Container-title:Social Indicators Research
language:en
Short-container-title:Soc Indic Res

Author:

Wang Yanhui,Qian Leyi

Funder

National Natural Science Foundation of China (CN)

Twelve-Five science and technology support program of China

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Sociology and Political Science,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Link

http://link.springer.com/content/pdf/10.1007/s11205-015-1190-4.pdf

Reference34 articles.

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2. Alkire, S., & Foster, J. (2010). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7), 476–487.

3. Atreshiwal, G. (2012). Remote Sensing and GIS based poverty mapping small-area estimation approach in rural Oromiya regional State. Master theses of Addis Ababa University.

4. Brandon, M. V. (2009). Exploring the spatial patterns and determinants of poverty: the case of Albay and Camarines sur provinces in Bicol region, Philippines. Master theses of Tsukuba University.

5. Brandon, M. V., & Yuji, M. (2011). Spatial determinants of poverty using GIS-based mapping. Spatial analysis and modeling in geographical transformation process (pp. 275–296). Berlin: Springer.

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