On the Use of Double Sampling Method in Analysing Internally Generated Revenue: A Case Study of Olabisi Onabanjo University
Keywords:Double Sampling, Estimation, Internally Generated Revenue, Olabisi Onabanjo University
Funding Nigerian Government owned Institutions has been the responsibility of the Government. Federal institutions have been enjoying the ease flow of cash from the Federal Government. However, State-owned Government Institutions like Olabisi Onabanjo University, as revealed in THE NATION newspaper, has been faced with under-funding from her host Government, hence, calling for creativity for this institution to create or increase the Internally Generated Revenue (IGR). Taking Olabisi Onabanjo University as a case study, this research used a Double Sampling for Regression Statistical Sampling with estimation method to estimate approximate total amount of eight hundred and sixty nine million naira (N869 Million) that the can generate annually from six proposed businesses with reference to the undergraduate population. These six businesses have the following estimate, percentage of contribution to IGR and the corresponding percentage coefficient of variation: Studentsâ€™ Accommodation (N265 Million: 30.5%: 4.24%),Female Hair do and Male Hair cut (N172 Million: 19.77%: 12.21%), Egg Sales (N64 Million: 7.42%: 5.81%), Fruit Juice (N112 million: 12.90%: 8.56%), Customised Exercise Book (N36 million: 4.15%: 15.69%) and Bread Production (N220 million: 25.2%: 7.77%). It was recommended that Nigerian Institutions should endeavour to do these businesses. Similarly, there is need for Nigerian Institutions to establish the IGR directorate that will be delegated with the objectives on how to strategise on boosting, running and maintaining IGR activities for the institution in the most aggressive and profitable ways.
Adeniyi (2008). Repositioning Nigerian Universities for National Sustainable development. Akure, Iju Quarterly Forum 10.
Adewale, T. M, Ajaghi, K. O., & Enikanoselu, O. A (2002). Trends in the Federal Government Financing Education in Nigeria (Electronic version). Revitalisation of African Higher Education.
Agunbiade, D. A. & Ogunyinka, Peter I. (2013). Effect of correlation level on the use of Auxiliary
variable in Double sampling for regression e s t i m a t i o n . O p e n J o u r n a l o f S t a t i s t i c s . Doi:http//dx.doi.org/10.4236/ojs.2013.35037.
Aina, O. I. (2002). Alternative modes of Financing Higher Education in Nigeria and the Implications for University Governance. Africa Deploments XXVII (1 and 2), 236-262.
Akinsanya, O. O. (2007). Financing Higher Education in Nigeria. International Journal of African and African American Studies, VI (1), 69 -72.
Bart Jonathan & Earnest Susan (2002). Double sampling to estimate density and population Trends in Birds. The Auk 119 (1), 36-45.
Beve, M & Ursic, S (2008). Relations Between Funding Equity, and Efficiency of Higher Education.
Education Economics, 16(3) 229-244
Cochran W. G. (1977). Sampling Technique. 3rd Edition. John Willey and Sons Inc. , New York . http://thenationonlineng.net/oou-lecturers-protest-unpaid-salary/ Accessed on March 28, 2016.
Ijaduola, K. O (2010). Fringe Benefits and Employees productivity. Educational Periscope, 3, 10-19.
Johnstone, D. B. (1998). The Financing and Management of Higher Education: A status report on worldwide reform. Paper presented at the UNESCO world conference on Higher Education held in Paris, France on October 5-9, 1998. 3(1).
Lohr Sharon L. (2010). â€œSampling Design and Analysisâ€. Second Edition. Brooks/Cole Cengage Learning. 596.
Lourbert, L (2008). Increasing Finance, Improving Schools Review of Balance Political Economy, 35(1), 31 - 42.
Mutanga Onismo & Shidmore Andrew K. (2004). Merging double sampling with Remote sensing for a apid Estimation of fuel-wood. Geocarto International. 19(4).
Ndagi J.O (1983). Financing of Education in Nigeria under the Military Rule (1968-1978). In S. Adesina, K. Adeyemi and K. Ajayi (eds). Nigerian Education Unife Press, Ife, Nigeria.
Nwachukuwu C, (1977) Issue and Problems of Financing Education in Nigeria. The Journal of Negro Education, 46 (3), 219-229
Odebiyi, A.I., & Aina, O. I. (1999). Alternative modes of financing higher Education in Nigeria and Implications for University Governance. Final Report Accra. Associations of African Universities (AAU).www.aau.org. Accessed on Google on 29 December 2014.
Ogunyinka, Peter I. & Sodipo, A. A. (2014). Estimating total software end-users on Online Repository: A Double Sampling Approach. Journal of the Nigerian Association of Mathematical Physics, 28(2), 251-256.
Ogunyinka, Peter I. & Sodipo, A. A. (2014). Efficiency of Ratio and Regression Estimators using Double sampling. Application to Household and Online Software Repository Data Sample Surveys. LAP LAMBERT Academic Publishing. ISBN: 978-3-659-50156-2.
Okafor F. C. (2002). Survey Theory with Applications. Afro-Orbis Publication ltd.
Okojie, J. A. (2009). Innovative Funding in the Nigerian University System. Accessed on Google on April 15, 2015.
Ouma G. W. (2007). Reducing Resource dependence on Government funding: The case of public Universities in Kenya and South Africa. Unpublished doctoral Dissertation University of Cape Town.
Shaw, G. H., Boyle, J. R. & Omule, A. Y. (2008). Estimating the Forest Soil Carbon and Nitrogen Stocks with Double Sampling for stratification. SSSAJ, 72(6). www.oouagoiwoye.edu.ng. Accessed on December 26, 2014.