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Modeling Comprehensive Dispersion of the Administrative Villages and Its Association with Economic Poverty: A Case Study from Poverty-Stricken Mountainous County, China

Author

Listed:
  • Yanhui Wang

    (Capital Normal University
    Louisiana State University)

  • Heying Li

    (Capital Normal University)

Abstract

Identifying the dispersion of the administrative villages is one of prerequisites for the rational allocation of sources and services during implementing “Entire-Village Advancement” poverty alleviation strategy of China. From the perspective of an administrative village scale, this paper develops a methodology serving the construction of a comprehensive dispersion evaluation model and the examination of the relationship between dispersion and economic poverty. Specially, we develops an village-level comprehensive dispersion evaluation model that is presented in two forms of Euclidean Dispersion Index (EDI) versus Dispersion Composite Index (DCI), using spatial statistical analysis to examine the comprehensive dispersion of the administrative village and its association with the Net Income of Village Residents (NIVR) under different geographic and socioeconomic conditions. The case study in Neixiang County of China shows that, DCI is more rational and objective than EDI for scoring details of the village’s dispersion, especially in the mountainous area; DCI has a more significant spatial autocorrelation and a more significantly negative relationship to NIVR than EDI; the negative correlation between DCI and NIVR is obviously stronger in mountainous area than that in the hill and plain area; The closer to the economic circle, the higher NIVR vs. the lower DCI. Which not only provides new perspective and way to deal with dispersion, but also helps guide policies for effective poverty interventions.

Suggested Citation

  • Yanhui Wang & Heying Li, 2017. "Modeling Comprehensive Dispersion of the Administrative Villages and Its Association with Economic Poverty: A Case Study from Poverty-Stricken Mountainous County, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 67-91, August.
    • Handle: RePEc:spr:soinre:v:133:y:2017:i:1:d:10.1007_s11205-016-1351-0
    DOI: 10.1007/s11205-016-1351-0
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    References listed on IDEAS

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