Lowe, J., 1989. The flora of Nigeria: Grasses. 2nd Edn., Ibadan: University Press.
Martin, F. and S. Sherman, 1992. Agroforestry principles. (Eds). Mortis, T. (2007). ECHO Technical Notes. Available from http://www.echonet.org.
Mensah, J.K., 1997. Taximetric studies of leave anatomy in some West African grasses. Ph.D Thesis. Botany Dept., Ambrose Alli Univ., Ekpoma.
Ogunwusi, A.A., 2011. Indicative inventory of bamboo availability and utilization in Nigeria. Journal of Research in Industrial Development, 9(2): 1-9.
Ogunwusi, A.A., 2012. Imperatives and guidelines for bamboo development policy in Nigeria. Jorind, 10(2). Available from www.transcampus.org/journals.
Ongugo, P.O., G.O. Sigu, J.G. Kariuki, A.M. Luvanda and B.N. Kigomo, 2000. Production-to-consumption systems : A case study of the bamboo sector in Kenya. INBAR Working Paper No 27. International Network for Bamboo and Rattan, Beijing, China.
Onweluzo, S.K., 1979. Forestry in Nigeria. Journal of Forestry, 77: 431-433 and 453.
Phillips, S., 1995. Poaceae (Gramineae). In: Hedberg I, Edwards S (Eds). Flora of Ethiopia and Eritrea. The National Herbarium: Addis Ababa University Addis Abba Uppsala.
RMRDC, 2004. Bamboo production and utilisation in Nigeria. RMRDC Publication, August.
RMRDC, 2008. Report of visit to bamboo processing Industry in Delta State. Unpulished Report Submitted to the Raw Materials Research and Development Council.
Wang, X., 2006. Comparative analysis and policy recommendations on developing bamboo resource tenure system in Asia and Africa. Joint Project in Cooperation with INBAR and WFI on bamboo development. 234pp.
Osemeobo, G. J. (1997). Policy on the In-situ conservation of forest resources in Nigeria: In E. A. Oduwaiye. P. C. Obiaga., J. E. Abu (Eds). Proceedings of the 25th Annual Conference of Forestry Association of Nigeria Held in Ibadan, Oyo State, Nigeria, September 22nd-26th 1997.
Igbokwe, G. O. , Zubairu, Y. G , A. G. Bello (2016). Application of Agroforestry Techniques in the Management of Bamboo. International Journal of Sustainable Agricultural Research, 3(1): 29-34. DOI: 10.18488/journal.70/2016.3.1/188.8.131.52
This paper highlights the potential of Bamboo tree under Agroforestry management practices of the forest industry in Nigeria. Bamboo possesses a dense network of fine roots with a capacity for abundant mycorrhizal association, high rate of Nitrogen fixation, absence of toxic substances in the litter or root residues, it has the capacity to grow on poor soils as well as rapid growth rate even under competing environment. It plays a significant role in the economy by providing livelihood for the rural poor and urban dwellers thereby supporting millions of people. Its richness and diversity both as an environmental and economic species coupled with fast growing ability makes it a profitable Agroforestry tree to be studied for cultivation under the dwindling forest estate in Nigeria.
This paper contributes to the existing literature on Bamboo cultivation, it aims at the important use of Agroforestry techniques in the cultivation of the species, while highlighting the value of the techniques both in ecological and environmental protection.
Analysis of Consumer Willingness to Pay for Genetically Modified Maize Food in Swaziland
Africa Centre for Biosafety, 2012. Resist corporate attachs on your food sovereirgnty. MA Status Report.
Bailey, R., R.E. Wilonghby and D. Grzywacz, 2014. On trial agricultural biotechnology in Africa, energy, environment and resources., Research paper. Available from https://www.chathamhouse.org/sites/files/chathamhouse/field/field_document/20140716BiotechAfrica.pdf?dm_i=1TY5,2N30J,BHZLN4,9NERT,1.
Boccaletti, S. and M. Nardella, 2000. Consumer willingness to pay for pesticide free fresh fruit and vegetables in Italy. International Food and Agribusiness Management Review, 3(2000): 297-310.
Chern, W., K. Rickertsen, N. Tsuboi and T. Fu, 2002. Consumer accaptance and willingness to pay for genetically modifies vegetable oil and salmon: A multiple- country assesment. AgBioForum, 5(3): 105-112.
Dlamini, A.M., M.A. Dube and N. Nkambule, 2008. Stakeholder perception and application of biotechnology in agricultural industries in Swaziland. Scientific Research and Essays, 3(10): 477-487.
Frank, H., 1999. Food safety and GM food. Ireland: Food Safety Authority. Available from: https://www.fsai.ie/.
Groote, H., W. Overholt, J. Ouma and J. Wanyama, 2011. Assesing the potential economic impact of bacillus thuringiensis (BT) maize in Kenya. Africal Journal of Biotechnology, 10(23): 4741-4751.
Gujarati, D.N., 2009. Basic econometrics. 2nd Edn., New York: McGraw-Hill Book Company.
Kimenju, S., H. Groote, J. Karugla, S. Mbogoh and D. Poland, 2008. Consumer awareness and attitudes towards GM foods in Kenya. Africa Journal of Biotechnology, 4(10): 1066-1075.
Matsebula, Z., 2012. Detection of gnetically modified organisms in maize food production in Matsapha: Implications for GM labelling. Kwaluseni: University of Swaziland.
Muchopa, S., Munyuki-Hungwe and Matondi, 2006. Biotechnology food security, trade and economists, a sythesis of issues impacting on wconomic right in Africa. Available from www.consumersinternational.org.
Onyango, B. and B. Govindasamy, 2005. Consumer willingness to pay for GM food benefits: Pay off or empty promises? Implication for the Food Industry Choice, 20(4): 223-226.
M.M. Simelane , M.B. Masuku , J.I. Rugambisa , D.M. Earnshaw (2016). Analysis of Consumer Willingness to Pay for Genetically Modified Maize Food in Swaziland. International Journal of Sustainable Agricultural Research, 3(1): 19-28. DOI: 10.18488/journal.70/2016.3.1/184.108.40.206
Genetic modification has been regarded as the new techno-economic standard of the 21st century. There are a number of promised benefits that come with the technology, including that of increase in crop yield, drought tolerance, environmental friendly farming, low food prices, better taste and nutrition among others. However, the use of biotechnology in food production is one of the most controversial subjects in modern agriculture with some scientists and consumer organizations citing possibilities of GM food causing allergies and cancer in human beings among other negative environmental and ethical concerns. This study was an assessment of consumer willingness to pay for GM food in Swaziland. Data were collected across the four regions of the country, sampling 100 respondents in each region making a total sample size of 400 respondents. The respondents were primary or secondary shoppers in their households, who were above the age of 18 and have heard about GMOs. Data were analysed using SPSS version 20. The results show that there were few respondents (32%) who had objective knowledge about GMOs. However, 70% of the respondents believe that GMOs are already being sold in the local markets. A binary logistic regression model was used to analyse willingness to pay for GM maize meal. The variable that were found to be affect consumers’ willingness to pay for GMO maize food were age, knowledge level, health perception, ethical perception and environmental perception about GMOs.
This study contributes in the existing literature of consumers’ perceptions on genetically modified food. This is the only study in conducted in Swaziland that focused on consumers, while other studies focused on farmers.
Estimation of Export Demand Function for Swazi Sugar: A Panel Data Analysis
Abbas, I.M., 2012. Merchandise export demand function for Egypt: Panel data analysis. Applied Econometrics and International Development, 12(1): 107-116.
Bobic, V., 2009. Income and price elasticities of croatian trade - a panel data approach. Young Economist’s Seminar to, 15th Dubrovnik Economic Conference. Central Bank of Croatia, Croatia. pp: 3-25.
Co?ar, E.E., 2002. Price and income elasticities of Turkish export demand: A panel data application. Central Bank Review No. 2.
Goldstein, M. and M.S. Khan, 1985. The supply and demand for exports: A simultaneous approach. Review of Economics and Statistics, 60(2): 275–286.
Govenment of Swaziland, 2006. National adaptation strategy in response to the EU reform. Mbabane, Swaziland: Ministry of Economic Planning and Development.
Mindaye, F., 2012. The role of COMESA growth and development of Ethopia. Unpublished Master’s Thesis. Addis Ababa University, Ethopia.
Olofin, S. and M.A. Babatunde, 2007. Estimating price and income elasticities of Sub-Saharan African exports. A Paper Presented in the 12th Annual Conference on Econometric Modelling for Africa held from the 4th until the 6th of July 2007, in Cape Town, South Africa.
Pesaran, M.H., Y. Shin and R.J. Smith, 2001. Bound testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3): 289-326.
Reyna-Torres, O., 2007. Panel data analysis: Fixed and random effects using stata. UK: Princeton University.
Richardson, B., 2012. Trade, aid and rural development: EU sugar policy and the experience of Swaziland. UK: European Centre for Aid and Policy Management.
Saghaian, S. and M. Soltani, 2012. Export demand function For U.S. Raisins. Selected Paper Prepared for Presentation at the Southern Agricultural Economics Association Annual Meeting, Birmingham, AL, February 4-7, 2012.
Saghaian, Y., M. Reed and S. Saghaian, 2014. Export demand estimation for U.S. corn and soybeans to major destinations. Selected Paper, the Southern Association of Agricultural Economics (SAEA) Annual Meetings, February 1-4, Dallas, Texas.
Southern African Development Community Sugar Digest, 2014. Annual Report 2014, South Africa.
Thaver, R.L. and C. Bova, 2014. An estimation of the ecourdo’s export demand function with the US. International Journal of Business and Finance Research, 8(1): 89-98.
Zeng, Z., S. Saghaian and M. Reed, 2012. Factors affecting export demand for US pastachios. International Food and Agribusiness Management Review, 15(3): 139-152.
L.K. Maziya , A.A. Tijani , M.B. Masuku (2016). Estimation of Export Demand Function for Swazi Sugar: A Panel Data Analysis. International Journal of Sustainable Agricultural Research, 3(1): 1-18. DOI: 10.18488/journal.70/2016.3.1/220.127.116.11
Export demand estimates are important for meaningful export forecasts, planning, and policy formulation that can help improve the performance of the sugar subsector in Swaziland. This study estimated the determinants of export demand for Swazi sugar and measured the impact of the EU reform on Swazi sugar export demand. The study used panel data approach by using annual time series data between the periods 1997 and 2012. An LSDV fixed effects model was employed. Export price, Importer GDP and the EU reform were found to be significant in explaining export demand for Swazi sugar. These variables had coefficients -121.069, and -2.682, respectively, whose signs were against the priori expectation except for export price. The EU reform was found to have an overall positive impact to Swazi sugar export demand with coefficient of 120 816. The study also measured elasticities of the explanatory variables to the export demand of Swazi sugar. Export price, foreign income, producer prices and real exchange rate were found to be inelastic with elasticities of 0.35289, 0.00168, 0.04256 and 0.28572, respectively, for all the markets (SACU, EU, USA and COMESA) pooled together. Explanatory variables in the individual markets were found to be highly elastic. The study, therefore, recommended that Swaziland needs to take advantage of the EU reform and invest more on sugar production as it was not negatively affected. Swaziland also needs to negotiate for the quotas abandoned by those countries heavily affected by the EU reform.
This study contributes in the existing literature by using demand function on the Swaziland Sugar Industry. This is the only study to be undertaken in Swaziland in relation to the Sugar Industry. Hence the study is original.