Your search found 17 records
1 Olubode-Awosola, O. O.; Idowu, E. O. 2004. Socio-economic performance of Sepeteri Irrigation Project in Nigeria. In Stephenson, D.; Shemang, E. M.; Chaoka, T. R. (Eds.), Water resources of arid areas: proceedings of the International Conference on Water Resources of Arid and Semi Arid Regions of Africa (WRASRA), Gaborone, Botswana, 3-6 August 2004. Leiden, Netherlands: A. A. Balkema. pp.227-236.
Irrigation programs ; Social aspects ; Farmers ; Economic aspects ; Pricing / Nigeria / Sepeteri Irrigation Project
(Location: IWMI-HQ Call no: 333.91 G100 STE Record No: H035544)
2 Olubode-Awosola, O. O.; Idowu, E. O.; Van Schalkwyk, H. D. 2006. Assessing irrigation projects performance for sustainable irrigation policy reform. Irrigation and Drainage Systems, 20:303-315.
Irrigation programs ; Performance evaluation ; Policy ; Case studies ; Water costs ; Income ; Performance indexes / Nigeria / Itoikin Project
(Location: IWMI HQ Call no: P 7931 Record No: H040260)
3 Olubode-Awosola, O. O.; Van Schalkwyk, H. D. 2006. Mentorship alliance between South African farmers: Implications for sustainable agriculture sector reform. SAJEMS, 9(4):554-566.
(Location: IWMI HQ Call no: P 7932 Record No: H040261)
4 Olubode-Awosola, O. O.; Oyewumi, O. A.; Jooste, A. 2006. Vector error correction modelling of Nigerian agricultural supply response. Agrekon, 45(4):421-435.
Agricultural economics ; Fiscal policy ; Agricultural credit ; Agricultural production ; Models / Nigeria
(Location: IWMI HQ Call no: P 7933 Record No: H040262)
5 Olubode-Awosola, O. O.. 2006. Farm-level resource use and output supply response: A free state case study. PhD thesis submitted to the Department of Agricultural Economics, Faculty of Natural and Agricultural Sciences, University of the Free State, South Africa. 185p.
Land reform ; Agrarian reform ; Farms ; Farmers attitudes ; Farm income ; Risk analysis ; Simulation models ; Mathematical models ; Calibration ; Irrigated farming ; Agricultural policy ; Legislation ; Trade policy ; Agricultural production ; Production costs / South Africa / Free State
(Location: IWMI HQ Call no: D 338.1 G178 OLU Record No: H040263)
6 Chilonda, Pius; Olubode-Awosola, O. O.; Minde, Isaac. (Eds.) 2007. Report of the Regional Stakeholders’ Workshop on Launching of the Regional Strategic Analysis and Knowledge Support System for Southern Africa (ReSAKSS-SA), Johannesburg, South Africa, 4-5 October 2006. Pretoria, South Africa: Regional Strategic Analysis and Knowledge Support System for Southern Africa (ReSAKSS-SA); Pretoria, South Africa: International Water Management Institute (IWMI); Pretoria, South Africa: International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 56p.
Knowledge management ; Agricultural development ; Policy / Southern Africa / Malawi / Zambia / Mozambique / South Africa
(Location: IWMI HQ Call no: IWMI 025.06 G100 CHI Record No: H040641)
(0.70 MB)
7 Olubode-Awosola, O. O.; Chilonda, Pius; Minde, Isaac. (Eds.) 2007. Report of the Technical Meeting on ‘Monitoring trends and Spatial Analysis of Public Spending in Agriculture,’ Lusaka, Zambia, 29-30 May 2007. Pretoria, South Africa: Regional Strategic Analysis and Knowledge Support System for Southern Africa (ReSAKSS-SA); International Water Management Institute (IWMI); International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) 53p.
Agricultural economics ; Public finance ; Expenditure ; Public investment / Africa / Southern Africa / Zambia / Malawi / Mozambique
(Location: IWMI HQ Call no: IWMI 338.13 G100 OLU Record No: H040640)
(4.31 MB)
8 Chilonda, Pius; Olubode-Awosola, O. O.; Minde, Isaac. (Eds.) 2007. Report of the Technical Workshop on Launching Regional Analysis on Options for Accelerating Agricultural Growth and Poverty Reduction in Southern Africa, Pretoria, South Africa, 19-20 February 2007. Pretoria, South Africa: Regional Strategic Analysis and Knowledge Support System for Southern Africa (ReSAKSS-SA); Pretoria, South Africa: International Water Management Institute (IWMI); Pretoria, South Africa: International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). 27p.
(Location: IWMI HQ Call no: IWMI 630 G154 CHI Record No: H040642)
(0.48 MB)
9 Alimi, T.; Ajewole, O. C.; Olubode-Awosola, O. O.; Idowu, E. O. 2007. Organic and inorganic fertilizer for vegetable production under tropical conditions. Journal of Agricultural and Rural Development, 1:120-136.
Vegetables ; Organic fertilizers ; Inorganic fertilizers ; Constraints ; Soil degradation ; Farm size ; Yields ; Sensitivity analysis / Nigeria / Oyo State
(Location: IWMI HQ Record No: H040763)
The use of commercial organic fertilizer is being encouraged in place of inorganic fertilizer in soil fertility improvement in Oyo State of Nigeria. This study was designed to determine if switching to from inorganic to organic fertilizer could be profitable. We took a case study of users of commercial organic fertilizer (UCOF) and users of inorganic fertilizer (UIF) in vegetable production. Nested sampling technique was used in selecting UCOF and UIF. Primary data on quantities and prices of vegetable production inputs and output were collected and analysed using descriptive and inferential statistics, partial budgetary technique and importance ranking. Results indicated both the UCOF and UIF used less than the recommended quantities of fertilizer and obtained less than the optimal yield. However, the UCOF on the average used more level of organic fertilizer that supply more soil nutrient though at higher cost. Yet they obtained higher vegetable yield (9169 kg·ha-1) and a marginal rate of return of 229%. However, either a marginal 2.6% decrease in each of yield or price of vegetable or a 32.4% increase in price of commercial organic fertilizer will make commercial organic fertilizer technology not superior to inorganic fertilizer. The identified constraints to the use of commercial organic fertilizer by UIF in descending order of importance are offensive odour, doubtful efficacy, heavy weed infestation, unavailability and bulkiness of commercial organic fertilizer which if eliminated will boost the demand for and allow the enjoyment of the additional benefits of commercial organic fertilizer.
10 Olubode-Awosola, O. O.; van Schalkwyk, H. D. 2007. The challenges and uses of quantitative economic modeling of agricultural policy decision process in Africa: a case study of South African land redistribution. Invited lecture presented at the 8th Annual Researching Africa Day Workshop organised by the African Studies Centre, University of Oxford, St. Antony’s College, Oxford, 24 February 2007. 42p.
(Location: IWMI HQ Call no: IWMI 338.1 G178 OLU Record No: H040764)
The ineffectiveness of policy advice in most African countries could be attributed to problem of scientists not being able to present a holistic solution to policy problems. As a result, the consequences of policies are seldom indicated. It may be demanding to use a more comprehensive and quantitative research strategy in policy analysis because of limited ability to integrate the technical-biophysical with the economic, marketing and political aspects when analysing policy effects. There can be no doubt that such methods have important roles in illuminating policy effects thereby preventing policy mistakes. To exemplify this phenomenon, a forward-looking and prescriptive economic analysis that is being widely used in the developed world for agricultural policy analysis which supports the identification, prediction, prescription and comparison of alternative policy impacts was adopted to examine the potential effects of the South African land redistribution strategies on its agriculture with respect to equity and efficiency using an agricultural sector mathematical programming model. The results indicate that the current policy requires more economic imperatives, as it tends towards smallholder agriculture that cannot produce adequate yields to meet either domestic demand or a tradable volume. Given the challenges of a free market and the fact that the settled small-scale resource-poor (mainly black) farmers are less efficient compared to the large-scale (mainly white) farmers from whom government transfers land, the analysis allows to prescribe land redistribution strategies with policy recommendations that has more economic imperatives.
11 Olubode-Awosola, O. O.; Van Schalkwyk, H. D. 2007. South African land and market reforms: Equity versus efficiency. In O’reilly, S.; Keane, M.; Enright, P. (Eds.). Proceedings of the 16th International Farm Management Association Congress: A vibrant rural economy – The challenge for balance. University College Cork, Cork, Ireland 15-20 July 2007. Vol. 1. IFMA 16, Theme 2: Agrarian Vs Rural: Economies and Settlements. Cork, Ireland: International Farm Management Association. pp.221-228.
Land reform ; Equity ; Marketing policy ; Trade liberalization ; Mathematical models ; Farms / South Africa
(Location: IWMI HQ Call no: IWMI 338.1 G178 OLU Record No: H040766)
This study makes a contribution to the land redistribution policy, which is presently not only one of The most definitive political and development issues, but perhaps the most intractable in South Africa. The study develops and uses a mathematical model for regionalised farm-level resource use and output supply response to show that the current policy requires more economic imperatives, as it tends towards smallholder agriculture that cannot produce adequate yields to meet either domestic demand or a tradable volume. Given the challenges of a free market and the fact that the settled small-scale, resource-poor (mainly black) farmers are less efficient compared to large-scale (mainly white) farmers from whom government transfers land, the study compares and prescribes land redistribution strategy that considers equity with efficiency. The study further suggests that agricultural land may act as a safety net for the poor, where the efficiency argument does not hold.
12 Olubode-Awosola, O. O.; van Schalkwyk, H. D. 2007. The implication of research methods on agricultural policy development: A case study of South African land redistribution. In the Proceedings of Wining Papers and Abstracts – Forum for African Agricultural Research (FARA), General Assembly, FARA-SADC Regional Dialogue. Promoting the productivity and competitiveness of African agriculture in a global economy. Johannesburg, South Africa, 11 June, 2007. 13p.
Research methods ; Agricultural policy ; Land policies ; Agricultural development ; Models / South Africa
(Location: IWMI HQ Call no: IWMI 338.1 G178 OLU Record No: H040767)
The ineffectiveness of policy advice in most African countries could be attributed to problem of scientists not being able to present a holistic solution to policy problems. As a result, the consequences of policies are seldom indicated. It may be demanding to use a more comprehensive and quantitative research strategy in policy analysis because of limited ability to integrate the technical-biophysical with the economic, marketing and political aspects when analysing policy effects. To exemplify this phenomenon, a forward-looking and prescriptive economic analysis that is being widely used in the developed world for agricultural policy analysis at each country’s level; integrated development at regional level; and competitive participation in the globalisation, was adopted. The study examines the potential effects of the South African land redistribution strategies on its agriculture using a mathematical programming model for an agricultural sector. This study makes a contribution to land redistribution policy, which is presently not only one of the most definitive political and development issues, but also perhaps the most intractable in South Africa. The results indicate that the current policy requires more economic imperatives, as it tends towards smallholder agriculture that cannot produce adequate yields to meet either domestic demand or a tradable volume. The current land redistribution, though justifiable, may have adverse supply impacts if pursued too rapidly and inflexibly because it places the South African farm industry on an inefficient growth trajectory. This is because multiplying the number of small farm units has a negative implication for the Southern African Development Community (SADC)’s agricultural productivity and competitiveness in the global market as South Africa is the largest economy not only in the SADC region but also Africa. Given the challenges of a free market and the fact that the settled small-scale resource- poor (mainly black) farmers are less efficient compared to the large-scale (mainly white) farmers from whom government transfers land, the study prescribes land redistribution strategies that consider efficiency along with equity. The study further suggests that agricultural land can act as a safety net for the poor, where the efficiency argument does not hold.
13 Olubode-Awosola O. O.; van Schalkwyk, H. D.; Jooste, A. 2008. Mathematical modeling of the South African land redistribution for development. Journal of Policy Modeling, 30:841-855.
Land distribution ; Farmland ; Equity ; Land policies ; Land transfers ; Legislation ; Poverty ; Farmers ; Mathematical models / South Africa
(Location: IWMI HQ Call no: e-copy only Record No: H041843)
(0.15 MB)
14 Chilonda, Pius; Olubode-Awosola, O. O.; Minde, I. 2009. Monitoring of public spending in agriculture in Southern Africa. Pretoria, South Africa: Regional Strategic Analysis and Knowledge Support System for Southern Africa (ReSAKSS-SA) 8p. (ReSAKSS-SA Issues Brief 008)
National expenditure ; Public finance ; Agricultural economics ; Investment / Southern Africa / Malawi
(Location: IWMI HQ Call no: IWMI 338.1 G154 CHI Record No: H041898)
http://www.resakss.org/sites/default/files/pdfs/monitoring-of-public-spending-in-agriculture-in-so-42464.pdf
https://vlibrary.iwmi.org/pdf/H041898.pdf
https://vlibrary.iwmi.org/pdf/H041898.pdf
(0.69 MB)
15 Chilonda, Pius; Olubode-Awosola, O. O.; Minde, I. 2009. Trends in agricultural growth and performance in southern Africa. Pretoria, South Africa: Regional Strategic Analysis and Knowledge Support System for Southern Africa (ReSAKSS-SA) 7p. (ReSAKSS-SA Issues Brief 009)
Agricultural development ; Agricultural production ; Productivity ; Poverty / Africa / Southern Africa
(Location: IWMI HQ Call no: IWMI 338.1 G100 CHI Record No: H042249)
(1.25 MB)
16 Olubode-Awosola, O. O.; Chilonda, Pius; Minde, I. 2008. Indicators for monitoring and evaluation of agricultural performance and shared goals in Southern Africa. Pretoria, South Africa: Regional Strategic Analysis and Knowledge Support System in Southern Africa (ReSAKSS-SA); Pretoria, South Africa: International Crops Research Institute for the Semi-Arid Tropics (ICRISAT); Washington, DC, USA: International Food Policy Research Institute (IFPRI); Pretoria, South Africa: International Water Management Institute (IWMI) 41p. (ReSAKSS-SA Working Paper 024)
Agricultural development ; Productivity ; Monitoring ; Evaluation ; Performance indexes ; Food production ; Poverty ; Rural communities ; Food security ; Economic aspects / Africa / Southern Africa / Congo / Madagascar / Malawi / Mozambique / Tanzania / Zambia / Zimbabwe / Angola / Namibia / Swaziland / Lesotho / Botswana / Mauritius / South Africa
(Location: IWMI HQ Call no: IWMI 338.1 G100 OLU Record No: H042277)
(0.57 MB)
17 Chilonda, Pius; Olubode-Awosola, O. O.; Minde, I. 2008. Recent trends and future prospects for agricultural growth, poverty reduction and investment in southern Africa. Pretoria, South Africa: Regional Strategic Analysis and Knowledge Support System for Southern Africa (ReSAKSS-SA) 49p. (ReSAKSS-SA Annual Trends Report 2008)
(Location: IWMI HQ Call no: IWMI 338.1 G154 CHI Record No: H042885)
(0.28 MB)
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