Research on the Potential Relationship Between Educational Inequality and Income Inequality in Developing Countries Under COVID-19

Research on the Potential Relationship Between Educational Inequality and Income Inequality in Developing Countries Under COVID-19

 

Findings

Overview

 

Demographics of Respondents

A total of 213 instructors from ten different nations participated in the study (Table 1). Whereas the sample included a considerable number of participants from each of the selected case study nations, the statistics for the majority of the other nationalities were in the hundreds rather than thousands. As a result, apart from the case study nations, the data gave little meaningful information about procedures in the other countries. Furthermore, it was evident that the teachers who were selected within those nations were not typical of the instructors in those countries’ general populations.

Table 1: Respondents who completed the survey

S.N. County Number of respondents Percentage
1 Ghana 22 10.3%
2 Cameroon 1 0.5%
3 Guyana 3 1.4%
4 Namibia 15 7.0%
5 Jamaica 1 0.5%
6 Kenya 48 22.5%
7 South Africa 60 28.2%
8 Nigeria 58 27.2%
9 Zambia 4 1.9%
10 Uganda 1 0.5%
  Grand Total 213 100%

However, just 3% of South African respondents worked at schools that did not charge tuition, although at least 60 percent of the country’s institutions do not charge tuition. As a result, although the majority of teachers selected from South Africa worked in government schools (87 percent), they were a rather affluent group: virtually all (97 percent) taught in institutions that paid fees and were mostly located in metropolitan areas (60 percent). Additionally, the samples from Nigeria and Kenya did not reflect their respective nations, as seen by the large faculty members employed in private or foreign schools, which stood at 41 percent and 38 percent.

Table 2: Types of schools in which teachers in the sample worked

Type of School Nigeria Kenya South Africa Other Grand Total
  No. % No. % No. % No. %  
Private/interactions 24 41% 27 56% 2 3% 2 4% 55
No school Fee 0 0% 0 0% 2 3% 0 0% 2
Public 27 47% 13 27% 52 87% 44 94% 136
Lower Fee/Semi-Private 1 2% 3 6% 4 7% 0 0% 8
NGO/Mission/NPO 6 10% 5 10% 0 0% 1 2% 12
Grand Total 58 100% 48 100% 60 100% 47 100% 213

Participants in all three focus nations were relatively young, with the average age in South Africa being 42 years old, 39 years in Nigeria, and 33 years old in Kenya. On the ot

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