在财务报告中使用国际财务管理信息系统是财务问责制的解决方案吗?肯尼亚西部县政府的回答

Dinah Majani, M. Atieno, Sylvester Mackton
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引用次数: 1

摘要

目的:实施综合财务管理信息系统(IFMIS)的目的是提高国家财务管理的效力和效率,并促进采用符合国际标准和基准的现代公共支出做法。尽管实施了IFMIS,但许多县政府仍面临问责挑战。本研究的目的是评估财务报告对肯尼亚西部县政府财务问责制的影响。研究方法:以代理理论、问责理论和技术接受模型为指导。本研究采用相关研究设计。主要数据采用问卷调查方式收集。研究对象人口为1110名县工作人员,包括内阁行政干事、国际综合管理信息系统主任、财务工作人员、税务工作人员、规划和采购工作人员。采用简单随机抽样法,抽取294名受访者。信度采用Cronbach Alpha检验,效度采用专家分析和主成分分析。采用SPSS进行描述性统计和推理统计分析。描述性统计由频率组成。推论统计包括二元逻辑回归分析。结果:Cox & Snell R平方建立为0.699。Wald统计量显著,p值为0.00,财务报告p值为0.022。财务报告与内部控制的相关分析r = 0.944。财务报告的二元logistic回归系数为β 6.17, p值为0.000,Exp (β) = 479.88。数据以表格形式呈现。建议:建议加强IFMIS的实施并定期审查,以确定仍然存在的降低有效性的漏洞。这将极大地改善财政纪律,如预算控制、财务报告和内部控制的比值比所示,这些比值比都大于1。将更好地遵守法定条例,减少没有支助的支出,将尽量减少挪用款项和预算差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is Use of IFMIS in Financial Reporting the Solution to Financial Accountability? Answers from County Governments in Western Kenya
Purpose: The implementation of Integrated Financial Management Information System (IFMIS) is aimed at increasing the effectiveness and efficiency of state financial management and facilitate the adoption of modern public expenditure practices in keeping with international standards and benchmarks. Despite IFMIS being implemented, many county governments’ still face accountability challenges. The purpose of this study was to evaluate the influence of financial reporting on financial accountability of county Governments in western Kenya. Methodology: The study was guided by Agency theory, Accountability theory and Technological Acceptance model. The study adopted correlational research design. Primary data was collected using questionnaires. The study target population was 1110 county staffs comprising of Cabinet executive officers, IFMIS directors, finance staff, revenue officers, planning and procurement staffs. Simple random sampling was used to select 294 respondents. Reliability was tested through Cronbach Alpha, validity was tested through expert analysis and principal component factor analysis. SPSS was used to analyze descriptive and inferential statistics. Descriptive statistics consisted of frequencies. Inferential statistics consisted of Binary logistic regression analysis. Findings: Cox & Snell R Square was established as 0.699. Wald statistic was significant with p values of 0.00, and 0.022 for financial reporting. Correlation analysis for financial reporting and internal controls was r = 0.944. The binary logistic regression coefficient was β of 6.17, p value .000 and Exp (β) = 479.88 for financial reporting. Data was presented using tables. Recommendation: It was recommended that implementation of IFMIS should be strengthened and regularly reviewed to identify loop holes that still exist that reduce effectiveness. This would improve fiscal discipline by a very high percentage as shown by the odds ratio of budgetary controls, financial reporting and internal controls which are all greater than one. There will be improved adherence to statutory regulations, unsupported expenditures would reduce and Misappropriations and budget variances will be minimal.
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