BOARD COMPOSITION AND FINANCIAL PERFORMANCE OF MANUFACTURING AND ALLIED FIRMS LISTED AT THE NAIROBI SECURITIES EXCHANGE, KENYA
BOARD COMPOSITION AND FINANCIAL PERFORMANCE OF MANUFACTURING AND ALLIED FIRMS LISTED AT THE NAIROBI SECURITIES EXCHANGE, KENYA
Irene Ndanu Ngui - Master of Business Administration (Finance), Kenyatta University, Kenya
Gerald Atheru - Department of Accounting and Finance, Kenyatta University, Kenya
ABSTRACT
The board's role is to protect the shareholder's interest; their allegiance is to the shareholders by protecting their assets. Therefore, the board's leadership and performance greatly influence the corporate bodies' monetary. The listed manufacturing firms' performance has been declining over time. With board composition having potential attributes to the performance of various organizations, there has been various performance indication in the manufacturing firms traded in the NSE with companies like Mumias having extremely poor performance. This can be seen in the reported earnings after tax in 2019, which were Ksh12.16 million, while the same company had after-tax profits of Ksh13.04 million in 2016. This indicates a reduction in the monetary profitability of the sector. In 2014 Mumias Company recorded a return on assets to be 2.5% in 2014, a decrease to 0.6% in 2015, and a further decline to 0.02% in 2015. Similarly, the return on equity of East African Breweries was recorded to fluctuate from 0.6% in 2014 to 0.5% in 2015 and 0.7% in 2017. The project examines the board composition consequences on manufacturing companies' monetary performance traded at the NSE. The aim is to evaluate board diversity's impact on the board’s size, gender, independence, and education on the monetary efficiency of the manufacturing organizations traded in NSE. Agency, stakeholders, and resource dependence theories will be used. As a result of the small numbers, a census approach will be employed. Using various descriptive statistics, the collected Panel secondary data from the monetary reports and monetary statements after audits will be used and analyzed to give the findings on how their boards' composition impacts the companies' financial performance. Multiple regression and interdependence analysis will also be employed for concise and effective analysis. The hypotheses testing will be based on multiple regression techniques. This will be guided by a threshold of 0.05 significant level using stationary, auto interdependence, normality, heteroskedasticity, and multicollinearity tests. The study will be subjected to all ethical guidelines in Kenya, with the results displayed in tables.
