Your search found 7 records
1 Donovan, D. J.; Katzer, T.; Brothers, K.; Cole, E.; Johnson, M.. 2002. Cost-benefit analysis of artificial recharge in Las Vegas Valley, Nevada. Journal of Water Resources Planning and Management, 128(5):356-365.
Groundwater management ; Artificial recharge ; Wells ; Domestic water ; Cost benefit analysis ; Water costs / USA / Nevada / Las Vegas Valley
(Location: IWMI-HQ Call no: PER Record No: H030365)
2 Devitt, D. A.; Donovan, D. J.; Katzer, T.; Johnson, M.. 2002. A reevaluation of the ground water budget for Las Vegas Valley, Nevada, with emphasis on ground water discharge. Journal of the American Water Resources Association, 38(6):1735-1751.
Groundwater ; Water budget ; Evapotranspiration ; Subsurface drainage ; Water availability ; Water use / USA / Nevada / Las Vegas Valley,
(Location: IWMI-HQ Call no: PER Record No: H033526)
3 Pratt, A. N.; Diao, X.; Johnson, M.; Minde, I.; Chilonda, Pius; Olubode-Awosola, Femi. 2007. Agricultural growth linkages and market opportunities in southern Africa. Pretoria, South Africa: Regional Strategic Analysis and Knowledge Support System for Southern Africa (ReSAKSS-SA) 3. 8p. (ReSAKSS-SA Issues Brief 003)
Agricultural development ; Agricultural production ; Trade ; Food consumption / South Africa / Zambia / Zimbabwe / Malawi / Mozambique
(Location: IWMI HQ Call no: e-copy only Record No: H041606)
http://www.resakss.org/publications/ReSAKSS-SA%20Issue%20Brief%203-Final.pdf
https://vlibrary.iwmi.org/pdf/H041606.pdf
https://vlibrary.iwmi.org/pdf/H041606.pdf
4 Fan, S.; Johnson, M.; Saurkar, A.; Makombe, T. 2008. Investing in african agriculture to halve poverty by 2015. Washington, DC, USA: International Food Policy Research Institute (IFPRI) 21p. (IFPRI Discussion Paper 00751)
Public investment ; Agricultural budgets ; Public finance ; Agricultural economics ; Poverty ; Simulation models ; Cost analysis / Africa / Africa South of Sahara
(Location: IWMI HQ Call no: e-copy only Record No: H041613)
This paper proposes a simple methodology to estimate the agricultural spending that will be required to achieve the Millennium Development Goal of halving poverty by 2015 (MDG1) in 30 Sub-Saharan African countries. This method uses growth-poverty and growth-expenditure elasticities to estimate the financial resources required to meet the MDG1, considering both the direct and indirect impacts of agricultural spending on poverty reduction. The paper attempts to address a key knowledge gap by improving estimation of MDG costs at both the regional and country levels.
5 Benin, S.; Johnson, M.; Beintema, N.; Bekele, H.; Chilonda, Pius; Kirsten, I.; Edeme, J.; Elmekass, A.; Govereh, J.; Kakuba, T.; Karugia, J.; Makunike, R.; Massawe, S.; Mpyisi, E.; Nwafor, M.; Omilola, B.; Olubode-Awosola, Femi; Sanyang, S.; Taye, B.; Wanzala, M.; Yade, M.; Zewdie, Y. 2008. Monitoring and Evaluation (M&E) System for the Comprehensive Africa Agriculture Development Programme (CAADP). Washington, DC: International Food Policy Research Institute (IFPRI). 45p. (ReSAKSS Working Paper 6)
Agriculture ; Economic aspects ; Monitoring ; Evaluation ; Investment ; Expenditure ; Indicators ; Data collection / Africa
(Location: IWMI HQ Call no: e-copy only Record No: H042797)
(0.52 MB)
The purpose of this document is to develop a framework to be used in monitoring progress towards the successful implementation of CAADP and for providing a conceptual basis for assessing the impacts and returns to CAADP investments. With the perspective of managing for impact, the main objectives are: (1) to identify a set of key indicators that are consistent with the underlying logic of CAADP to track progress in resource allocation and achieving stated targets and help answer questions related to the relevance, effectiveness, efficiency, impact and sustainability of the programme; (2) to identify the data required, sources, and methods for estimating values of the indicators; and (3) to lay out a plan for implementing the framework in terms of collecting, managing and analyzing the data, reporting results of the analysis, and obtaining and incorporating feedback for further improvement of the system. This document, and the ultimate outputs of the M&E system, is thus primarily targeted to stakeholders at the national, regional and continent-wide level involved with directing or managing resources for implementing CAADP. This includes: Ministries of Finance, Agriculture, and Local Governments; Departments of Agriculture within Regional Economic Communities, AU/NEPAD, and the donor community concerned with agriculture in Africa. The document and outputs of the system will also be useful to researchers and others interested in CAADP or knowledge on monitoring and evaluating public agricultural investments in general.
6 Chilonda, Pius; Johnson, M.; Benin, S. 2010. Strategic Analysis and Knowledge Support System (SAKSS): informing the implementation of the Comprehensive Africa Agriculture Development Program (CAADP) in Africa. [Abstract only] In ACP-EU Technical Centre for Agricultural and Rural Cooperation (CTA). CTA Annual Seminar, Closing the Knowledge Gap: Integrated Water Management for Sustainable Agriculture, Johannesburg, South Africa, 22–26 November 2010. Abstracts. Wageningen, Netherlands: ACP-EU Technical Centre for Agricultural and Rural Cooperation (CTA). pp.36.
(Location: IWMI HQ Call no: 630 G100 TEC Record No: H043478)
(0.06 MB) (652.11 KB)
7 Johnson, M.; Benin, S.; You, L.; Diao, X.; Chilonda, Pius. 2014. Exploring strategic priorities for regional agricultural research and development investments in Southern Africa. Washington, DC, USA: International Food Policy Research Institute (IFPRI). 140p. (IFPRI Discussion Paper 01318)
Agricultural research ; Agricultural development ; Investment ; Economic growth ; Indicators ; Markets ; Models ; Yield gap ; Cereal crops ; Farming systems ; Livestock products / Southern Africa
(Location: IWMI HQ Call no: e-copy only Record No: H046297)
http://www.ifpri.org/sites/default/files/publications/ifpridp01318.pdf
https://vlibrary.iwmi.org/pdf/H046297.pdf
https://vlibrary.iwmi.org/pdf/H046297.pdf
(4.27 MB) (4.27 MB)
An in-depth quantitative analysis is undertaken in this paper to assist the Southern African Development Community (SADC) Secretariat, member countries, and development partners in setting future regional investment priorities for agricultural research and development in the SADC region. A primary goal of this work was to identify a range of agricultural research priorities for achieving sector productivity and overall economic growth in southern Africa, at both the country and regional levels. This is accomplished by adopting an integrated modeling framework that combines a disaggregated spatial analytical model with an economywide multimarket model developed specifically for the region. The spatial disaggregation uses information on current yield gaps to project growth and technology spillovers across countries among different agricultural activities that share similar conditions and thus potential for adoption and diffusion in the region. The economywide multimarket model is used to simulate ex ante the economic effects of closing these yield gaps through a country’s own investments in research and development (R&D) and from potential R&D spill-ins from neighboring countries. Results indicate a high potential of spillovers and technology adaptability across countries due to similar agroecological and climatic conditions and the countries’ own capacities for adaptive R&D. The greatest agriculture-led growth opportunities reside in staple crops and in roots and tubers, especially among the low-income countries. Together, these sectors have the potential to contribute up to 40 percent of future possible growth. There are differences (areas of comparative advantage) at the country level that offer opportunities for specialization. For example, grains are the dominant subsector for Zimbabwe; in Botswana, opportunities will depend on more growth in its livestock sector; and for Namibia promoting fish growth may be more important. The root crops sector is as important as that of grains in Angola, Democratic Republic of the Congo, and Malawi, but even more important in Mozambique. The study finds evidence of high spillover potential, especially for maize, rice, cattle, cassava, sorghum, and beans. Low-income countries gain the most from spill-in of R&D in the grains and roots subsectors; yield growth in these subsectors explains about 20 percent of these countries’ gains in the total value of production, compared with only 2.2 percent among middle-income countries. Our results emphasize not only the importance of expanding regional cooperation in R&D and technology diffusion in southern Africa, but the importance of strengthening regional agricultural markets and linkages with nonagricultural sectors.
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