The core business activities of every organization are the root cause of its financial success. The company's day-to-day operations are impacted by management's choices on working capital, which includes inventories, short-term loans, accounts payables, and receivables. This research looks at how different types of cut flower companies in Kenya handle their working capital and how it affects their bottom line. The return on assets was used as the performance indicator, with the working capital management variables of average collection time, inventory turnover, accounts payables period, and cash conversion cycle all being used. The return on investment was another metric used to evaluate company success (CCC). Secondary data from 85 cut flower companies in Kenya. This research uses a variety of statistical methods, including Pearson's Bivariate Correlation, multiple regression, and analysis of variance, to get the conclusion that WCM has a significant effect on the financial results of the businesses studied. Both the ACP and CCC demonstrated statistically and practically significant negative correlations with ROA (ROA). A negative link was found between ICP and ROA, while a positive correlation was found between APP and ROA, however neither association was statistically significant. However, these two pairings were diametrically opposed to one another. These results suggest that reducing ACP, CCC, and ICP would significantly increase ROA for manufacturing firms. The combined effects of the ACP, ICP, APP, and CCC were shown to explain 37.2% of the variation in ROA between businesses in the regression analysis. WCM was shown to be consistent with value maximization and value seeking. Management should regularly evaluate the impact of working capital on profitability in order to optimize shareholder value. No matter how large or profitable a company is, or how diverse its assets may be, managers know that they must have a steady supply of working capital if they want to maintain operations and develop their business.

commercial banks that have undergone mergers and acquisitions demonstrating their financial stability concerns include Spire Bank, National Bank of Kenya, as well as Kingdom Bank and Access Bank. The other banks that are facing concerns with regard to the financial stability in Kenya include the Consolidated Bank and the Development Bank of Kenya among others. Thus, the nexus between operational risk and financial stability of Kenyan commercial banks was the main focus of the study. The study adopted correlational research design targeting 39 Kenyan commercial banks and census was embraced. Information was obtained from auxiliary sources over the five year period of 2017-2021. The analysis was done through Statistical Package for Social sciences guided by means and standard deviations, correlation and regression analysis and presented through tables. The study observed that operational risk (r=-0.503, β=0.058, t>1.96 & p<0.05) is a significant predictor of financial stability of commercial banks in Kenya when Bank size (r=0.328, β=0.055, t>1.96 & p<0.05) and liquidity (r=-0.118, β=0.011, t>1.96 & p<0.05) are controlled. The study conclude that operational risk is negatively but significantly linked with financial stability of commercial banks. It was recommended that finance managers working in commercial banks in Kenya should put in place adequate mechanisms to enhance the liquidity position while cutting down on operational costs and expenses. It is important to have in place revenue maximization efforts and mechanisms among commercial banks in Kenya so as to maximize the operating income.

The Government Capitation grant is very vital to learners both in primary and secondary schools in Kenya. The government of Kenya through Ministry of Education allocates and disburses Ksh.22, 244 and Ksh. 57, 974 to regular and special needs public secondary schools respectively. The study investigated the influence of government capitation grants disbursement delay on the final examination in public secondary schools in Kisumu County, Kenya. The study was anchored on Resource dependence theory, Wrecker`s financial distress theory and Agency theory. The study adopted descriptive longitudinal research design. The Secondary panel data set of 426 public secondary school-year end observations was used. This revealed that on average, there was 38.5 percent (mean = 0.385) delay in release of government capitation grants to public secondary school in Kisumu County. The study noted that on average, public secondary schools in Kisumu County attained K.C.S.E. mean grade of 4.534. The Sub-County secondary schools had the lowest K.C.S.E mean score of 1.839 while National Schools had the highest K.C.S.E mean score of 9.577 in Kisumu County. The study revealed that government capitation disbursement delay has negative and significant affiliation with final examination performance in public secondary schools in Kisumu County, Kenya. The study recommended that the Ministry of Education should plan to release capitation grants either a week before or latest a week after commencement of public secondary school term. The study further recommended that the government should consider use of research based differentiated unit cost in allocating capitation grants to both regular and special needs school learners.

The study’s main objective was to elaborate upon the effect of climate finance on the exportation of red meat carcasses in Kenya. The influence of climate finance, prevailing temperature, rainfall patterns, exchange rates, and the GDP of the Kenyan population on the exportation of red meat carcass in Kenya served as the goal of the study. The study adopted a descriptive research design. Secondary data for each study variable was collected for the study period 2012 – 2021. The study undertook a correlational as well as regression analysis to determine the relationship between the study variables. The findings indicated that climate finance and exchange rate had a significant positive correlation against exportation of red meat carcass while temperature, rainfall and GDP indicated an insignificant correlation on exportation of red meat carcass. The regression analysis indicated that the coefficient of determination is 18.5 %. This implied that the model could only account for 18.5 of the changes in transportation of red meat carcass. The adjusted R square was lower than the value of R square indicating that the model contained elements that did not add value to it. The regression model was statistically significant indicating that there was positive statistically significant effect of climate finance on exportation of red meat carcass in Kenya. The regression coefficient indicated that all the independent variables were insignificant apart from exchange rate. Only the exchange rate was found to have a statistically significant effect on exportation of red meat carcass. The study therefore concludes that further investment should be injected into climate finance for the purposes of improving exports of red meat carcass. The study also concluded that the climate finance contributed in Kenya was inadequate and more measures needed to be undertaken to enhance climate finance that would enhance production as well as exportation of red meat carcass in Kenya. The study also recommends farmers to ensure that during the dry season, they should dispose off most of their livestock to avoid losses from droughts. This would increase exportation of red meat carcass during dry and hot seasons

Abstract

The study sought to examine the influence of organizational factors on the implementation of the National Youth Policy in Kenya. The study was guided by the following three specific objectives: to investigate the influence of formal legal distance on the implementation of National Youth Policy in Kenya; to investigate the influence of organization autonomy on the implementation of National Youth Policy in Kenya, and to examine the influence of organizational culture on the implementation of National Youth Policy in Kenya. The study combined both qualitative and quantitative techniques in data analysis. The results revealed that the three variables depicted a significant influence on National youth policy implementation in Kenya. Organizational culture depicted a minimum influence on the policy implementation (beta value, 0.148) with organizational autonomy depicting the greatest influence of policy implementation (beta value, 0.318). In addition, the key informant findings revealed a positive relationship between the organizational factors and national youth policy implementation. The study concluded that formal legal distance, organizational autonomy, and organization culture are the main determinants of national youth policy implementation which is supported by the beta values 0.283, 0.318, and 0.148 respectively. The study recommends that the public sector should adopt effective organizational factors that positively influence national youth policy implementation. Additionally, studies should be conducted to examine the influence of corruption, leadership management on implementation of national youth policy.

A suitable capital structure is a key choice for any business establishment. The choice is key not just for the reason of making the most of returns to different organizational areas, but similarly due to the bearing such a choice have on an establishment’s capability to handle its competitive setting. Establishments struggle when structuring their finance since it is difficult to determine how it will affect performance, which is crucial for the establishment's worth and, therefore, its survival. The main aim of this research was to determine capital structure effect on financial performance of NSE listed firms. The independent variable for the research was capital structure measured using the ratio of total debt to total assets while the dependent variable was financial performance measured using ROA. The control variables were firm size and liquidity. The study was guided by relevance and irrelevance theory, agency cost theory and pecking order theory. Descriptive research design was utilized in this research. The 42 non-financial NSE listed firms as at December 2021 served as target population. The study collected secondary data for five years (2017-2021) on an annual basis from CMA and individual NSE listed firms annual reports. Descriptive, correlation as well as regression analysis were undertaken and outcomes offered in tables followed by pertinent interpretation and discussion. The research discovered a 0.6125 R square value implying that 61.25% of changes in NSE listed firms financial performance can be described by the three variables chosen for this research. The multivariate regression analysis further revealed that individually, capital structure has a negative effect on performance of NSE listed firms (β=-0.442, p=0.001). The control variable which was firm size displayed a positive and significant performance influence as shown by (β=0.624, p=0.000). Firm liquidity also exhibited a positive and significant effect on performance of NSE listed firms (β=0.184, p=0.029). the study recommends the need for practitioners among NSE listed firms to strike a balance between the benefits and costs associated with debt as high levels of debt negatively affects financial performance. The study also recommends that NSE listed firms should work at improving their asset base and their liquidity as they significantly affect their performance.