Author(s)

Wenhe Chen¹, Zhipeng Chang^1,2

¹School of Business, Anhui University of Technology, Maanshan, China.
²Institute of Anhui’s Innovation Driving and Development, Anhui University of Technology, Maanshan, China.

This paper recognizes multidimensional poverty in rural China using the Mahalanobis-Taguchi System on the China Labor-force Dynamic survey (CLDS) 2014 dataset. Six dimensions are included: Income, Education, health, living, asset and housing. Results suggest that the MTS can precisely recognize poor and non-poor households and select the main indexes leading to multidimensional poverty. Enhancing income and improving farming efficiency are the main means of poverty reduction. Moreover, improving rural living and health conditions by strengthening public services and infrastructure should also be a policymaking concern.

Mahalanobis-Taguchi System, Rural Families, Multidimensional Poverty, Precise Recognition

Chen, W. and Chang, Z. (2019) Recognition Method of Multidimensional Poverty Based on Mahalanobis-Taguchi System. Open Journal of Social Sciences, 7, 161-174. doi: 10.4236/jss.2019.78012.