Factors influencing immigrants' satisfaction in Danjiangkou Reservoir based on logistic regression model

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Abstract

Findings from a prospective study of project-induced migration along the middle route of the South-to-North Water Diversion Project in China are reported. The study seeks to identify the key factors influencing differences in immigrants' satisfaction, from their own characteristics, family income, production conditions, living conditions, social conditions, resource conditions, and environment, using Danjiangkou Reservoir as the case study area. A questionnaire survey data with a large sample (1,031 immigrant households in the Danjiangkou Reservoir) was used for the logistic model. Analysis indicated that variables such as immigrants' family income, as in 'per capita net income'; immigrants' production conditions, such as 'quality of cultivated land'; immigrants' living conditions, such as 'infrastructure'; and immigrants' social conditions, such as 'the implementation of immigration policy' in the case reservoir model are the most important factors that affect the immigrants' satisfaction. The degree of importance of 'per capita net income', 'quality of cultivated land', 'infrastructure', and 'the implementation of immigration policy' was 14.8%, 16.0%, 9.2%, and 8.1%, respectively. Considering the practical implications of this research, identifying factors affecting immigrants' satisfaction with the reservoir resettlement relocation experience could be useful for policymakers designing immigration programs.

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Qiu, Y., Meng, G., & Wei, Y. (2016). Factors influencing immigrants’ satisfaction in Danjiangkou Reservoir based on logistic regression model. Water Policy, 18(6), 1384–1398. https://doi.org/10.2166/wp.2016.255

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