DETERMINANTS OF REVENUE GENERATION IN COUNTY GOVERNMENTS IN KENYA; A CASE OF BUSIA COUNTY GOVERNMENT
Abstract
This study investigated the influence automation of revenue collection, revenue mapping, financial partnerships and revenue legislation on revenue generation in Busia county government, Kenya. The study was based on rational Expectations theory of technology adoption, Optimal taxation theory and Sequential theory of decentralization. The study used descriptive research design and targeted a population of 103 staff in the county government of Busia who had direct or indirect role in revenue collection and cash management from where a sample size of 82 respondents was drawn using Taro Yamane’s proportional sampling technique formula. Structured questionnaires were used to collect primary data and piloting of the research instrument was done in Bungoma county government so as to ensure content validity and a Cronbach’s alpha which tests internal consistency checked instrument reliability. SPSS version 24 software was used to compute statistical data; whereby collected data was cleaned, coded and transformed to allow regression analysis. Descriptive analysis such as frequencies, means, standard deviation was used to summarize data into meaningful form; whereas inferential statistics assessed the nature and strength of the correlations, direct and multiple relationships. Analyzed data was presented in tables and graphs. A total of 79 respondents out of the sampled 82 respondents returned completely filled questionnaires representing a response rate of 96.34%, thus good for generalizability of research findings to a wider population. Both descriptive and inferential statistics showed that all independent variables (automated revenue collections, revenue mapping, financial partnerships and revenue legislations) significantly influence revenue generation in Busia county government. The study concluded that; automation of revenue collection significantly improves revenue generation in county governments since the automated revenue systems minimize financial embezzlements associated with manual revenue collections, revenue mapping initiatives assist county governments identify all sources of county revenues thus boosts revenue generation in county governments. The study recommended that, county governments should purely implement automated revenue collection systems so as to minimize financial fraud related cases that are associated with manual revenue collections, county governments should engage in viable revenue mapping initiatives that help in identification of pertinent sources of county revenues.
Key Words: Revenue Collection, Revenue Mapping, Financial Partnerships, Revenue Legislation, Automation
CITATION: Sechero H., & Otinga, H. N. (2020). Determinants of revenue generation in county governments in Kenya; A case Of Busia County Government. The Strategic Journal of Business & Change Management, 7(1), 357 – 375.
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Abiola, J., & Asiweh, M., 2012. Impact of Tax Administration on Government Revenue in a Developing Economy -A Case Study of Nigeria. International Journal of Business and Social Science 3(8).
Admasu, G., & Gurmu, M. (2000). Electronic payment parking lot system and method. Info.Inc.
Alam, S.,Noore, D., Dian., N., &Nur, A. S. (2012). Regional Autonomy and Local Resource Mobilization in Eastern Indonesia: Problems and Pitfalls of Fisca Decentralization. Asian Affairs: An American Review. 39 (1):
Ayee, J.R.A. (2013): Decentralization and Good Governance in Ghana. Unpublished paper prepared for the Canadian High Commission, Accra, Ghana.
Bahiigwa, et al (2004): Rural Taxation in Uganda: Implications for Growth, Income Distribution, Local Government Revenue and Poverty Reduction, EPRC Research Series No. 35, Kampala.
Blazek, J. (2005). Financial Planning for Not for Profit Organizations, New York: John Wiley & Sons Inc.
Benelli, G., & Pozzebon, A. (2013). Innovative Solutions for the Automatic Payment of Car Parks. International Journal for Infonomics (IJI), 1(1).
Boex, J., & Martinez-Vazquez, J. (2007). Designing intergovernmental equalization transfers with imperfect data: Concepts, practices, and lessons. In Fiscal Equalization (pp. 291-343). Springer US.
Brooksons, S. (2002).Managing Budgets, New York: Darling Kindersley Books.
Carroll K (2009) Outsider, insider, alongsider: Examining reflexivity in hospital-based video. International Journal of Multiple Research Approaches, 3(3): 246–263.
Chitembo, A., 2009. Fical Decentralisation: A Comparative Perspective. Civil Society Representatives Sitting on the Zambian National Constitutional Conference (NCC). Lusaka.
Davis, F. D, (1989). Perceived Usefulness, Perceived Ease of use and user acceptance of Information Technology. MIS Quart. 13319- 13339.
Ebrill, L., Stotsky, J., & Gropp, R. (2001). Revenue Implications of Trade Liberalisation1. Small States in the Global Economy: Background Papers Presented to the Commonwealth Secretariat/World Bank Joint Task Force on Small States, 44, 343.
Falleti, G. T. (2004). A Sequential Theory of Decentralisation and Its Effects On: The Intergovernmental Lbalance Of Power: Latin American Cases In Comparative Perspective. Working Paper, Kellogg Institute.
Fjeldstad, O. H., Hnjewele F., Mwambe, G., Ngalewa, E. &Nygaard, K., (2009). Local Government Finances and Financial Management in Tanzania. Observations from six councils, 2000-2003. REPOA special paper NO. 16. (Dar es Salaam: Research on Poverty Alleviation (REPOA).
Gidisu, T. E., 2012. Automation System Procedure of the Ghana Revenue Authority on the Effectiveness of Revenue Collection: A Case Study of Customs Division, Unpublished MBA Thesis, Kwame Nkrumah University of Science and Technology.
Government of Kenya (2017). General government revenues, in Government at a Glance. Research Paper No.20, AERC.
Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate Data Analysis. Seventh Edition. Prentice Hall, Upper Saddle River, New Jersey
International Monetary Fund (2013) ‘Fiscal Monitor’ World Economic And Financial Surveys, Washington, D.C.
Juul, R. (2006). The Digital Provide: Information (Technology), Market Performance and Welfare in the South Indian Fisheries Sector, Quarterly Journal of Economics, 122, 879–924.
Kessey, K. D. and K. Gunter (2002): Local Revenue Administration in Ghana: Practice and Prospects. SPRING Research Series No. 5, SPRING Center, Dortmund.
Kokor, J.Y. and G. Kroes (2008): Central Grants for Local Development in Decentralized Planning System, Ghana. SPRING Research Series No. 23, SPRING Center Dortmund.
Komolo, B (2014). Automated Tax Collection. World Economic and Financial Surveys, Washington, D.C.
Kombo, D. K., & Tromp, D. L. (2006). Proposal and thesis writing: An introduction. Nairobi: Pauline’s Publications.
Kothari, C. (2006). Research Methodology: Methods and Technology. New Delhi: India: New Age Publication.
Lymer, A. & Oats, L., 2010. Taxation Policy and Practice. 16th Ed. Birmingham
Mikesell, J. (2002): International Experiences with Administration of Local Taxes: A Review of Practices and Issues. Mimeo, School of Public and Environmental Affairs, Indiana University.
Mugenda, O., & Mugenda, A. G. (2003) Research Methods: Quantitative and Qualitative Approaches: Nairobi. African Centre for Technology Studies.
Muriithi, K. M & Moyi, D. E. (2003). Tax Reforms and Revenue Mobilization in Kenya, AERC Research Paper, 131.
Ndunda, J. M., Ngahu, S. T., & Wanyoike, D. (2015). Analysis of factors influencing optimal revenue collection by County Governments in Kenya a case of Nakuru County. International Journal of Economics, Commerce and Management, 3(5).
Oates, W. E. (2005). On the nature and measurement of fiscal illusion: A survey. Department of Economics, University of Maryland.
Odoyo, O., Oginda, M. Obura, M. Aila, F. Ojera, O., & Siring, M. (2013). Effect of Information Systems on Revenue Collection by Local Authorities in Homa Bay County, Kenya, Universal Journal of Accounting and Finance, 1(1), 29-33.
Oluwu, D and J.S. Wunsch (2003). Local Governance in Africa: The Challenges of Democrati Decentralization. Lynne Rienner Publishers, London.
Public Finance Management Act (2012). Public Finance Management reports. Government Printers. Nairobi.
Rashid, M. M., Musa, A., Rahman, M. A., Farahana, N., & Farahana, A. (2012). Automatic Parking Management System and Parking Fee Collection Based on Number Plate Recognition. IJMLC, 2(2).
Simona, D. (2009). It's role in the integrative systemic approach of modern economic organization. Universitatii Maritime Constanta. Analele, 16(23), 99.
Turner, et al (2004) “Globalization, Innovation and Information Sharing in Tax Systems: The Australian Experience of the Diffusion and Adoption of Electronic Lodgment”, E- Journal of Tax Research, (2:2).
Ward, B. (2006). Customs Modernization Handbook. Washington: World Bank.
Yan, W. (2008). The impact of revenue diversification and economic base on revenue stability: Financial Stability Review, 14 (6).
DOI: http://dx.doi.org/10.61426/sjbcm.v7i1.1532
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