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The nexus between corporate governance, asset structure, and value of listed firms: evidence from Kenya
No full textResearch PaperShareholders of listed firms are guaranteed reasonable security prices due to enhanced firm value, which translates to global wealth creation. However, firms’ value has declined globally. Therefore, this paper uses a causal-comparative design and panel data regression model to explore the nexus between corporate governance, asset structure, and value of Kenyan-listed firms from 2010 to 2019. Secondary data were extricated from audited financial reports of 51 firms. As hypothesized, the results show a positive relationship between board composition and firm value with a regression coefficient. (0.17, p < .05). The composition of the audit committee is positively associated with firm value with a regression coefficient of (0.629, p < .05). A tangible and notable correlation exists between protecting shareholders’ rights and firm value with a regression coefficient of (0.28, p < .05), while financial disclosure was significant with a regression coefficient of (1.15, p < .05). Plant, property and equipment positively and significantly affect firm value with a regression coefficient of (2.10, p < .05), while financial assets had (0.28, p < .05), which was significant. Current assets positively and significantly affect firm value with a regression coefficient of (1.87, p < .05). Finally, the results reveal a positive but insignificant correlation between firm size and value with a regression. coefficient of (0.22, p < .05), while the relationship between firm age and value is negative but insignificant with a regression coefficient of (–0.003, p < .05). The study recommends that sufficient managerial effort be directed towards corporate governance and asset structure to maximize shareholder valu
The Relationship Between Parental Marital Status And Anxiety Levels Among University Students: A Case Of Kca University
Get PDFHigh prevalence of anxiety continues to be reported among university students. For this reason,
this research aimed to investigate the potential impact of parental marital status on anxiety
among students of KCA University, Nairobi, Kenya. Specifically, the study sought to
determine the prevalence of anxiety among university students at KCA University, to analyze
the causes of anxiety among University Students at KCA University, to investigate the impact
of parental marital status on anxiety among university students at KCA University and to assess
coping strategies for anxiety among university students at KCA University. The theories
adopted were the attachment theory and family systems theory. The study adopted the mixed
method research design. The study targeted 1230 undergraduate students at KCA university.
The systematic random sampling was used to select 123 second-year students. Primary data
was collected using a questionnaire. Data was analyzed using both the Microsoft excel and the
Statistical Package for Social Sciences (SPSS version 27). The analysis followed the objectives
of the study where data on prevalence rates was presented using descriptive statistics of means,
frequencies and percentages. For the objective involving finding relationships, inferential
statistics was utilized. Correlational analysis was used to determine the association between
the variables. Multiple regression analysis was used to determine the impact of parental marital
status on anxiety in university students. The findings from this research had the potential to
inform interventions and support services for university students, particularly those affected
by parental marital disruption. The study revealed that the students at KCA University
experience low levels of anxiety by a score of 0-21. This implied that parental marital status
had a significant influence on anxiety among university students at KCA University. The study
also found that variables were strongly correlated as shown by correlation coefficient value of
0.619. It was also noted that avoidance is a way of coping with anxiety. The study concluded
that parental marital status significantly influences anxiety among students. It was concluded
that a change in the parental marital status would result to a change in anxiety among university
students at KCA University. The study recommends that the university should create a
counselling office that would help to deal with mental health issues among the students.
Further, the students should be made aware that they can seek help from the university in case
they feel they have a meant problem. Students should be assured that their shared problems
would be kept confidential, this would help students to feel more confident. The study
recommends that the university should provide education about mental health to the students.
The subject about mental health should be common to all students. This would help students
to understand what mental health is
Artificial Intelligence Technologies And Supply Chain Performance Of Manufacturing Firms In Kenya
Get PDFToday’s manufacturing systems are becoming increasingly complex, dynamic, and connected. The factory operations face challenges of highly nonlinear and stochastic activity due to the countless uncertainties and interdependencies that exist. Recent developments in artificial intelligence have shown great potential to transform the manufacturing domain through advanced analytics tools for processing the vast amounts of manufacturing data generated, known as Big Data. Adoption of artificial intelligence technologies has been taunted as an enabler of organizational performance. Therefore, the current study sought to assess the level of adoption of AI technologies and their effect on the performance of supply chains of manufacturing firms in Kenya specifically in the automobile subsector. The study was based on socio technical theory and technology organization environment theory. The study adopts descriptive design targeting the seventeen automobile companies in Kenya. Census method was used to select all 153 functional officers in; Finance, Human resource, ICT, Logistics, SCM, Legal, R&D, Security and Operations since the population was small. Data was collected through use of questionnaires send via Google form, analyzed through descriptive and inferential statistics. The finding of the study is presented in tables. It’s expected that the study findings will find use among researchers, policy makers and managers of the manufacturing firms. Key findings of the study are that; all the three artificial intelligence technologies (IOT, Data analytics, Sensors and Drones) have a positive and significant influence on supply chain performance of manufacturing firms in Kenya. Besides government regulations moderating the relationship between AI technologies and supply chain performance. It is recommended that manufacturing firms need to embrace more AI embedded technologies for better supply chain responsiveness, flexibility, reliability and low operational costs. Further research needs to be undertaken on more AI tools and in other institutions so as to verify the study findings
Effect Of Corporate Governance Structures On Performance Of Private Hospitals In Nairobi County
Get PDFThe improvement of Kenya's healthcare delivery structures depends on effective corporate governance frameworks. Correctly implemented corporate governance structures have a significant impact on preventing business scandals, fraud, and legal issues, while also enhancing the organization's reputation as a trustworthy and self-regulating entity. The main objective is to investigate how corporate governance structures influence the performance of private hospitals in Nairobi County. The research aimed to analyze the impact of board size, gender composition, age, and organizational processes on the performance of private hospitals in Nairobi. The study used descriptive research design. The target population for this study was private hospitals listed on www.ehealth.or.ke, which offer various medical treatments. Data collection for this study involved the use of a questionnaire. The Cronbach alpha coefficient was used to assess the instrument's reliability after a pilot study was conducted, and it was computed using SPSS. After data collection, a series of operations, including editing, coding, classification, and analysis using the statistical package for social science (SPSS), was performed. Descriptive statistics such as frequencies and percentages were utilized to analyze the data. To determine the current relationship between the dependent variable and the independent variables, several tests, including Normality Test, Multicollinearity Test, heteroscedasticity test, and Linearity Test, were conducted. After data analysis, the study established that board size and performance of SMEs is positively and significantly related. Gender composition and performance of private hospitals in Nairobi County is positively and significantly related. Government regulations and performance of private hospitals in Nairobi County is positively and significantly related. Organizational procedures and performance of private hospitals is positively and significantly related. The study therefore recommended that private hospitals should invest in their bard size especially on its gender composition with articulations with the government regulations without compromising on their procedures they undertake to fully be compliance
Financial Reporting Quality Among Deposit Taking Saccos: What Unties the Ties
No full textThis study advances to describe the causality of financial reporting quality among the deposit
taking Saccos in Kenya by determining whether staff capacity, top management expertise,
enterprise resource planning and the quality of internal audit unties the ties of the quality of
financial reports. Through descriptive design and primary data of the one hundred and twenty-six respondents of the forty-two-deposit taking Saccos (DT Saccos) in Kenya, the establishes
that top management expertise, enterprise resource planning (ERP) and quality of internal
audit had a strong positive significant influence on the quality of financial reporting while
staff capacity had also a positive influence but which was weak in terms of the strength
Effect On Climate Finance Practices for Sustainable Investment Among Commercial Bank in Kenya
Get PDFClimate change is considered as more than just an environmental danger since it affects so many economic sectors; it is also anticipated to worsen. The goal of this study was to look at the present condition and developments in green and climate financing techniques used by Kenyan commercial banks. The need to address social, economic, and environmental issues while generating new ideas and best practices is central to the concept of sustainability. Economic growth is made more sustainable by taking into consideration social and environmental problems. Climate funding may lead to the improvement of financial institutions' risk management capabilities, the capacity building of various actors in the climate finance sectors, and the tightening of relationships between financial institutions. Convenient financial instruments include grants, subsidized loans, and credit guarantee funds. If effective strategies are to be implemented to draw climate money in support of extensive mitigation action, a varied, demand-responsive approach to financial innovation is required. Population, conceptual, and contextual gaps are found in the literature review of the study, which supports the need for greater research on the topic. The study's conclusions can help regulatory organizations like NEMA and the CBK improve the way they create and enforce policies and ensure that banks engage in sustainable projects while generating anticipated fair profits. The study ought to, ideally, also offer more details about the significance of green financing and its prior impacts on the financial performance of Kenya's listed commercial banks in terms of sustainable investment. The research also contributes to the existing body of knowledge as efforts are made to slow down climate change, not just in the Kenyan context but also on a regional and global scale. This firm must be sustained due to the crucial role the financial industry plays in ensuring national prosperity. Financial institutions are contributing in the funding of projects in Kenya's extractive, industrial, housing, infrastructural, and agricultural sectors. As a result, bank financing to and investment in green assets is seen as being significantly dependent on efforts to combat climate change by moving toward a net-zero carbon economy. The paper proposes developing a model to promote sustainable banking in Kenya, with a focus on climate funding, as a solution to the main practical obstacle of the lack of finance
Effect of Financial Structure on Financial Performance of Deposit Taking Micro Finance Banks in Kenya
Get PDFDeposit Taking Microfinance Banks play a significant role in providing financial services to underserved segments of the population in Kenya. However, the financial performance of DTMFBs has been shown to be declining in recent years. The NPL (non-performing loan) ratio for DTMFBs increased from 9.8% in 2019 to 11.7% in 2020. The study sought to establish the effect of financing structure on financial performance of deposit taking microfinance banks in Kenya. Specifically, the study sought to determine the effect of short term debt on the financial performance of Deposit Taking Micro Finance Banks in Kenya; to assess the effect of long term debt on the financial performance of Deposit Taking Micro Finance Banks in Kenya; to evaluate the effect of retained earnings on the financial performance of Deposit Taking Micro Finance Banks in Kenya; and to evaluate the effect of share capital on financial performance of Deposit Taking Micro Finance Banks in Kenya. Signalling theory, dividend irrelevance theory, bird in hand theory, and pecking order theory will provide the theoretical foundation of the research. The correlational research design was adopted for the study. This research focused on the 14 DTMFBs. Data on financial structure and performance was gathered from secondary sources, with panel data covering the years 2017 through 2022. The data was analysed using statistical methods including multiple regression, correlation, and descriptive statistics using STATA (Version 16). The significance of the regression coefficients was examined using the t-statistic at the 5% level of significance. The analysis revealed that short term debt has a significant on financial performance of DTMFBs in Kenya (β =.0588, p=0.000.05) on financial performance; retained earnings have a positive significant effect on financial performance (β =.0662, p=0.000.05) on financial performance of the DTMFBs. The study suggests that DTMFBs in Kenya should carefully consider their short-term debt management strategies as an integral component of their financial operations
Systematic Review On Green Finance In The Banking Industry: Perspectives from A Developing Country
No full textThis paper systematically views the literature on the Green Finance (GF) gap, which refers to the mismatch between the demand for and availability of GF in the banking industry of developing countries. GF is vital for supporting the transition to a sustainable economy. Still, it faces several challenges, such as a lack of standardized definitions, data, incentives, regulations, awareness, capacity, and access to finance. The paper uses a mixed-methods approach, combining bibliometric analysis and qualitative synthesis, to identify and analyze influential publications on the GF gap and synthesize the main findings and implications. The paper also provides potential solutions and recommendations to address the GF gap and suggests directions for future research in this field
A Linear Regression Model For Predicting The Level Of Need For Social Protection In Kenya
Get PDFThis research delved into the complex dynamics of social disadvantage in Kenya, focusing on the
nation's unique social protection needs. Using the Kenya Integrated Household Budget Survey
(KIHBS), we explored factors such as Household income, Educational Attainment, Employment
status, Health Indicators, and Disability Status. The research findings identified household income
and disability status as crucial determinants for social disadvantage, underlining the importance of
fair economic opportunities. Education and employment also emerged as significant influences,
emphasizing the need for comprehensive educational access and robust job creation strategies.
Based on the linear regression model statistics, the R-square value of 0.656 showed a stable model.
Other regression validation metrics such as residual errors helped to confirm this. The study
recommends refining data consolidation techniques to uncover deeper disparities within Kenya's
diverse population. While highlighted key social disadvantage determinants have been
highlighted, a more detailed examination of the urban-rural divide is essential. The study, deeply
rooted in theoretical frameworks, suggests that further research should explore how these theories
tangibly relate to the experiences of Kenyans, providing a foundation for creating more inclusive
societies both in Kenya and globally
Influence of Non-Accounting Information on Credit Decisions of Microfinance Banks in Kenya
No full textSupporting the operation and administration of microfinance banks over a lengthy of time is becoming a rather difficult and challenging concern for microfinance banks in developing countries. Among other issues, their customers’ non-performing loans greatly affect the microfinance banks profitability, leading to failure to sustain themselves over a reasonable length of time. This calls for proper credit management by the microfinance banks, thus need to manage and formulate policies related to credit risk management. One method is to put in place suitable credit approval methods aimed at reducing loan default rates. This study assessed the influence of non-accounting information that is utilized by microfinance banks in making lending decisions. The research was underpinned by four theories namely; equilibrium theory of credit rating, agency theory, theory of planned behaviour and decision-making theory respectively. The study adopted a quantitative methodology in which case data was gathered using structured questionnaires. In this study the main data collection instrument used was questionnaires which were carefully designed, tested and evaluated to assure validity of the research instrument. The correlation analysis showed that credit history, credit utilization and financial literacy significantly and positively influence credit decision in microfinance banks in Kenya. These findings were confirmed by the regression analysis where credit history, credit utilization and financial literacy each registered a positive and significant beta coefficient. The study made the conclusion that financial literacy, credit utilization and credit history were very instrumental in credit decision making among the microfinance banks in Kenya. It is therefore recommended that microfinance banks keep information about both current and potential borrowers which may be useful on decisions concerning credit to customers. On further studies, this study recommends that similar research be done using other variables to establish which other factors have impact on the credit decisions among microfinance banks in Kenya