For instance, nearly half of the entire gap in the pc literacy price between Others and ST people is explained by differences of their educational attainment. Per capita revenue explains more than one-fourth of the entire gap between Other and SC people. If OBCs had the identical revenue because the Others, the hole in pc literacy fee between the Others and OBC individuals would lower by 29.3%. Different covariates, like the occupation of the head of family and individual’s place of residence, additionally contribute to the hole between the Others and the remainder of the caste teams. The contribution of earnings is important in explaining the hole in the pc literacy charge between Others and every of the disadvantaged caste teams.

For example, the difference in the academic attainment of the non-disadvantaged and STs explains almost 38.97% of the full gap in the Internet use fee between these two teams. Per-capita earnings additionally contributes a good deal to the hole in the Internet use charge by people belonging to Other group and every of the disadvantaged caste teams. For instance, 25.5% of the Web use charge gap between the non-disadvantaged and OBCs may be explained via this issue.

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They present that academic attainment, caste, and occupation of the family are a number of the components which can be associated with possession and use of computer and the Internet in India. BOthers.(2013) primarily based on a sample of 500 individuals throughout 4 states (Haryana, Madhya Pradesh, Punjab and Rajasthan) within the north and central parts of India found that education and some familiarity with the English language is a crucial determinant of pc and Web use.

The significance of the current study additionally lies in explaining the caste-based digital divide when it comes to the socioeconomic differences that exist between the caste groups. Demographic factors which can be related to the digital divide. The subsequent section discusses the socioeconomic. Relaxation of the paper is organized into following sections. The present examine examines the primary and second-degree digital inequality between Others and each of the disadvantaged caste groups – SC, ST and OBC. This train, to our knowledge, has not been undertaken in the context of India within the prevailing literature on digital divide.

The differences within the age distribution of the disadvantaged caste groups are favorable to them. Using nationally consultant knowledge from Family Social Consumption: Education survey 2017-18, this paper has examined the relative contribution of caste group primarily based disparities in different socioeconomic variables to the digital gap between Others and each of the disadvantaged caste teams (SCs, STs and OBCs). The descriptive results from the research present that there are massive gaps between Others and each of the disadvantaged caste teams in computer possession price, Web access price, computer literacy charge, Web literacy rate and Internet use charge. Especially, the digital hole between the Others and STs and SCs is very large.