Agricultural Production in South Africa: Information and Communication Technology (Ict) Spillover

David, Oladipo Olalekan; Grobler, Wynand C.J.

doi:10.34111/ijebeg.20191126

Cited by 5 publications

(9 citation statements)

References 14 publications

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“…The study revealed that ICTs raised the production of agricultural commodities (including rice, potato, wheat, maize, and pulse). Another micro-level study was conducted by David and Grobler (2019) on the effect of ICTs on household food production in 2015 in South Africa using the logit model. The findings revealed that internet access positively impacted household food production.…”

Section: Literature Reviewmentioning

confidence: 99%

Asymmetric impacts of ICT and energy intensity on agricultural productivity: Evidence from Asia‐Pacific region

Paul

Sahoo

Jena

2023

Review Development Economics

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In the contemporary times of rising food insecurity and malnutrition, the agricultural sector needs more attention. This study aims to investigate the asymmetric impacts of information and communication technologies (ICTs), energy intensity, urbanization, and inequality on agricultural productivity for 20 Asia‐Pacific countries from 1990 to 2020. To investigate asymmetric impacts, the study employs the panel nonlinear autoregressive distributed lag (NARDL) model. The estimated results revealed that positive and negative shocks in ICT, energy intensity, and urbanization have asymmetric impacts on agricultural productivity in the long run, whereas symmetry is observed in short‐run impacts. It is found that a 1% increase (decrease) in ICT and urbanization increases (decreases) agricultural productivity by 0.292% (0.662%) and 2.717% (2.759%), respectively, whereas a 1% increase (decrease) in energy intensity decreases (increases) agricultural productivity by 0.252% (0.216%) in the long run. Furthermore, the results of the Dumitrescu‐Hurlin panel causality test point out the existence of bi‐directional causality between agricultural productivity and the independent variables (ICT, energy intensity, urbanization, and inequality). Based on the findings, the study suggests that the Asia‐Pacific countries should increase the application of ICT and use energy more efficiently in agriculture to boost agricultural productivity.

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Section: Literature Reviewmentioning

confidence: 99%

Asymmetric impacts of ICT and energy intensity on agricultural productivity: Evidence from Asia‐Pacific region

Paul

Sahoo

Jena

2023

Review Development Economics

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“…Ref. [8] carried out research on food insecurity in South Africa. The research findings showed that social grants were far from sufficient in solving food insecurity in South Africa as the food prices were high [8].…”

Section: Empirical Literaturementioning

confidence: 99%

“…[8] carried out research on food insecurity in South Africa. The research findings showed that social grants were far from sufficient in solving food insecurity in South Africa as the food prices were high [8]. Apart from that, it was discovered that consumption of wild foods can be instrumental in easing food insecurity at household levels [8].…”

Section: Empirical Literaturementioning

confidence: 99%

“…In the case of South Africa, the net production (supply-side) of food is favourable but net utility (demand-side) of food is unfavourable. This is because the means (income) to buy the expensive foods are either low or close to zero because of the high level of unemployment [8]. With a low level of employment in this generation, food insecurity becomes a threat to survival since the income to purchase food depends on the transitory (social grants) income of the households [9].…”

Section: Introductionmentioning

confidence: 99%

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Status Quo of Households’ Backyard Food Gardens in South Africa: The “Drivers”

David

Grobler

2022

Sustainability

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South Africa is one of the most food-secured countries at the national level but is food insecure at the household level. The disconnect in the food security at the national and at household level in the economy is a result of high food prices that most households cannot afford. One of the strategies of ameliorating food insecurity at the household level is the practice of backyard food gardens. This study identifies farmland size, land tenure system, agriculture-related assistance to households, location of residence of the household, agricultural training offered to households, and monetary grants for households for agriculture purpose as the determinants of households’ backyard food gardens in South Africa. The study used descriptive (horizontal bar chart) and inferential (Pearson’s chi-square) analyses to evaluate the household-level impacts of farmland size, land tenure system, agriculture-related assistance, location of residence, agricultural training, and monetary grants for agriculture purposes of the backyard food gardens in South Africa. The data for the study were sourced from the Statistics South Africa’s General Household Survey for 2019. The findings revealed that farmland size, land tenure system, agriculture-related assistance to households, location of residence of the household, agricultural training offered to households, and monetary grants for households for agriculture purposes are significant to households’ backyard food gardens in South Africa. It is clear that agriculture-related assistance is welcomed by the households but the spread across all dwelling locations is limited; therefore, there is need to spread agriculture-related assistance to all dwelling areas in South Africa. This will increase the drive towards food production in South Africa.

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“…A study to investigate the impact of land accessibility and ICTs on agricultural production in South Africa by David & Grobler (2019) highlights that access to information and communication technology (ICT) for agricultural activities can be promoted and made easier since ICT promotes productivity.…”

Section: Use Of Ict In Agriculturementioning

confidence: 99%

Assessing the Effect of ICTs on Agriculture Productivity Based on the UTAUT Model in Developing Countries. Case Study of Southern Province in Zambia

Nkandu¹,

Phiri²

2022

OJBM

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The study was assessing the effect of Information and Communications Technology (ICTs) on agriculture productivity in Zambia's Southern Province based on the Unified Theory of Acceptance and Use of Technology (UTAUT) Model. Additionally, the study focused on highlighting social economic factors that influence adoption of ICTS. The sample was drawn from small scale farmers in Mazabuka and Monze districts of Southern Province. The study used a mixed method approach and used a multi-stage sampling procedure to draw the sample. Data was collected using both qualitative and quantitative responses using both closed ended and open ended questionnaire generated based on the UTAUT conceptual framework. The response rate was 94% from both Mazabuka and Monze districts. The research utilised the Statistical Package for the Social Sciences (SPSS) software and used Regression and Pearson Correlation to analyse the data. Pearson Correlation analysis showed that Performance Expectancy (R = 356**, P-Value = 0.000), Social Influence (601**, P-Value = 0.000) and Facilitating Conditions (R = 0.647**, P-Value = 0.000) and Effort Expectancy (R = 0.185**, P-Value = 0.001) are all positively correlated to behavioural intention. Similarly, regression analysis results were less than the significance level of 0.005 therefore, it was inferred that there is significant impact of all the independent variables on behavioural intention. The research also concluded that there is a relationship between ICT adoption and productivity.

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Agricultural Production in South Africa: Information and Communication Technology (Ict) Spillover

Cited by 5 publications

References 14 publications

Asymmetric impacts of ICT and energy intensity on agricultural productivity: Evidence from Asia‐Pacific region

Asymmetric impacts of ICT and energy intensity on agricultural productivity: Evidence from Asia‐Pacific region

Status Quo of Households’ Backyard Food Gardens in South Africa: The “Drivers”

Assessing the Effect of ICTs on Agriculture Productivity Based on the UTAUT Model in Developing Countries. Case Study of Southern Province in Zambia

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