Socio-demographic Determinants of Computer Ownership: An Empirical View in the City of Gui Lin
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Abstract
This study aims to investigate the socio-demographic determinants of computer ownership in Gui Lin, China. A cross-sectional primary survey data with a total of 459 respondents is used for the analysis. By applying the binary logistic regression model, the results show that age, marital status, education, income, residential area, internet experiences and online frequency are statistically signifcant in determining the likelihood of owning a private computer. However, other variables like gender and employment status are found to have no significant impact on computer ownership. Based on the findings, a number of insightful policies are suggested.
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