This study explores the impact of risk management strategies and socioeconomic factors on crop productivity among smallholder farmers in Ghana. Utilising a cross-sectional survey design, data were gathered from 4,065,095 agricultural households, as reported by Ghana Census Agriculture (2018). The sampling frame, derived 37,657 Enumeration Areas defined Statistical Service (GSS), provided systematic approach for identifying target population. Key variables include (measured kilograms per...

This study investigated the impact of Agricultural Technology Adoption (ATA), Climate Change Adaptation Measures (CCAM), and Institutional Risk Management (IRM) on crop production (CP). The purpose this is to assess how these variables influence agricultural productivity identify key drivers successful in context climate change institutional challenges. A quantitative research design was employed utilising survey data collected from farmers across different regions. Structural equation...

The lack of empirical research on the effect financial development and interest rate agricultural growth hinders effective policy orientation towards poverty reduction. This paper is set to examine from Ghanaian perspective. We used time-series data for period 1980–2020. autoregressive distributed lag approach was investigate relationship between underlying variables. cumulative sum chart squares statistics were show that our model stable does not contain any serious structural change....

Abstract A computable general equilibrium (CGE) model is used as a regulatory tool for the banking sector in South Africa. The to determine effects of penalties, capital adequacy requirements (CAR) and monetary policy on economy. Our results indicate that there trade‐off between default CAR regulation. For example, when reducing penalty, banks' profits increase, whereas violation decrease. Changes penalty have stronger impact than changes ( i.e . both penalties are reduced, increase)....

Abstract The South African Reserve Bank (SARB) uses interest rates to control inflation. Computable General Equilibrium (CGE) model can contribute inflation targeting objective and also determine the effects on banks economy. We improved accuracy of results from previous work banking sector CGE by estimating elasticities reduced form equations instead arbitrarily choosing them. Our conform with established view that lower policy lead an increase in a reduction banks' profits. However,...

In this article a banking sector Computable General Equilibrium (CGE) model for South Africa is developed. The used to estimate the potential effect of regulatory policy on economy and as risk assessment tool assess how changes in regulation affect economy. The provides methodology regulators makers deal with future planning.The importance sector, especially systemic risk, cannot be over emphasized failure adequately risks usually leads serious financial crises including collapse major...

The South African Reserve Bank (SARB) uses interest rates to control inflation. Computable General Equilibrium (CGE) model can contribute inflation targeting objective and also determine the effects on banks economy. We improved accuracy of results from previous work banking sector CGE by estimating elasticities reduced form equations instead arbitrarily choosing them.Our conform with established view that lower policy lead an increase in a reduction banks’ profits. However, due adverse...

A Computable General Equilibrium (CGE) model is used as a regulatory tool for the banking sector in South Africa. The to determine effects of penalties, capital adequacy requirements (CAR), and monetary policy on economy. Our results indicate that there trade off between default CAR regulation. For example, reducing penalty banks profits increase whereas violation decrease. changing are stronger than ones such when both penalties reduced increase. Moreover, policies which targeted at...

Non-life insurance companies most especially, are often faced with the challenge of predicting number claims and claim amount to be incurred at any given time. Overcoming such challenges requires examining patterns, which assists in premium determination setting reserves. The study, therefore, modelled motor frequency probability distributions Ghana. Findings revealed that is best zero-inflated Poisson distribution. gamma, lognormal Weibull were also identified have best-fit amount. However,...

Extreme event modeling has always attracted attention in domains such as hydrology, well major financial markets where modelers benefit from an abundance of available data (Embrechts et. al, 1997). Following the recent global crises, however, proper models for unusual events that lead to crises have become critical finance and risk management disciplines. This work uses extreme value theory (EVT) fit a model tails daily stock returns values listed commercial bank on Ghana exchange,...