企业风险管理对尼日利亚保险公司盈利能力的影响

Abidemi Soladoye, Ijeoma Olabisi Dominic, Nasamu Gambo, Hauwa Lamino Abubakar
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引用次数: 0

摘要

尼日利亚的保险业尽管对尼日利亚国内生产总值的贡献不到 1%,但却被认为对经济至关重要,因为它控制着大量资金,保护企业免受各种风险。然而,出于对保险业经营失败的担忧,国家保险委员会于 2012 年授权尼日利亚所有保险企业采用企业风险管理 (ERM),以解决这一问题并阻止未来的经营失败。本研究工作研究了企业风险管理在 10 年内对尼日利亚保险企业盈利能力的影响,包括引入企业风险管理之前的两年和之后的八年。研究从两个角度进行:企业风险管理的采用和实施。因变量 "盈利能力 "用 "资产回报率 "来衡量,而 "企业风险管理采用率 "则用 "首席风险官 "和 "董事会风险委员会组成 "来衡量。企业风险管理指数(ERMI)衡量企业风险管理的实施情况。公司规模(F.SIZE)用总资产表示,公司年龄(F.AGE)用总经营年限表示,这两个变量都是控制变量。研究采用事实研究设计和普查抽样技术,从公布的财务报表和监管机构的报告中收集了研究期间(2010-2019 年)运营的所有 37 家保险公司的相关二手数据。多元回归分析表明,虽然 CRO 和 BRCC 对投资回报率有正向贡献,但在统计意义上并不显著,而 ERMI 对投资回报率有负向影响。研究证实,仅采用企业风险管理不足以影响盈利能力。为了使企业风险管理取得更好的效果,建议由国家投资委员会对整个行业的实施做法进行审查。
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Effect of Enterprise Risk Management on the Profitability of Insurance Companies in Nigeria
Nigeria's insurance industry, despite contributing less than 1% to Nigeria's GDP, is considered crucial to the economy as it controls large sums of money and protects businesses from diverse risks. However, concerned about business failures in the insurance industry, the National Insurance Commission in 2012, mandated the adoption of Enterprise Risk Management (ERM) by all insurance businesses in Nigeria to address this issue and to deter future business failures. This research work studied the effect of ERM on the profitability of Nigerian insurance businesses over a 10-year period, encompassing the two years prior to, and eight years following the introduction of ERM. ERM is studied from two perspectives: ERM adoption and ERM implementation. Profitability, the dependent variable was measured by Return on Assets while ERM adoption was measured using Chief Risk Officer (CRO) and Board Risk Committee Composition (BRCC. Enterprise Risk Management Index (ERMI) measured ERM implementation. Firm Size (F. SIZE) represented by Total Assets and Firm Age (F.AGE), represented by total years of operations, served as control variables. Using the expo-facto research design and the census sampling technique, relevant secondary data about all 37 insurance companies that were in operation during the study period (2010 – 2019) was collected from published financial statements and the regulator’s reports. The multiple regression analysis revealed that while CRO and BRCC contributed positively to ROA but not at a statistically significant level, ERMI had a negative effect on ROA. The research confirms that ERM adoption only is not sufficient to influence profitability. For better results from ERM, an industry-wide review of implementation practices by NAICOM is recommended.
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