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6 results on '"Lefophane, Mapula Hildah"'

2. Analysis of Factors Influencing the Income Generated By Informal Fresh Produce Traders during Covid-19 Pandemic in Polokwane Local Municipality, South Africa

Author

Lefophane, Mapula Hildah, Mdungwa, Maria Sherly, and Oluwatayo, Isaac Busayo

Subjects
Marketing, FOS: Economics and business, South Africa, Health Economics and Policy, Agricultural and Food Policy, Risk and Uncertainty, Community/Rural/Urban Development, Agribusiness, informal sector, income generation, trade
Abstract

This study examined factors influencing income generated by 100 informal fresh produce traders in Polokwane Local Municipality during the COVID-19 pandemic in South Africa. An Ordered Probit Model was used to examine the extent to which several factors had affected traders’ income, measured on a 5-Point Likert Scale ranging from “very low income” to “very high income”. The descriptive results showed that none of the traders had generated “very high income”, which is attributable to COVID-19 regulations and restrictions. The empirical results showed that age, education levels, other sources of income, government support, social relief grant, trading license, trading status, time period of contract, and trading stall, increased the probability of generating higher income. These results serve to inform policymakers on the policy strategies to pursue in order to improve the income generated by the informal fresh produce traders

Published
2022
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4. Estimating effects of ICT intensity on productivity, employment and output in South Africa: an industry-level analysis.

Author

Lefophane, Mapula Hildah and Kalaba, Mmatlou

Subjects
*IMPULSE response, *LABOR productivity, *EMPLOYMENT, *GROWTH industries, *ANALYSIS of variance
Abstract

This article aims to estimate the effects of ICT intensity on labor productivity, employment and output of agro-processing industries. To achieve this, the ICT intensity index is applied to rank industries into 'more ICT-intensive' and 'less ICT-intensive' groups. Thereafter, the annual growth rates of labor productivity, employment and output were calculated. Ultimately, the effects of ICT intensity were examined using Pooled Mean Group estimation, the Toda and Yamamoto Granger Non-Causality Test, and the Impulse Response Function and Variance Decomposition analyses. The findings suggest that ICT intensity yields higher positive and significant effects on the growth of the more ICT-intensive industries. Evidence of a causal relationship was detected for the more ICT-intensive industries. The findings further proved that ICT intensity contributed more to the forecast error variance in the growth of the more ICT-intensive industries. Overall, this article provides evidence of ICT-led growth for industries that use ICT most intensively. [ABSTRACT FROM AUTHOR]

Published
2022
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