Disaggregated Analysis: The Key to Understanding Wellbeing in Kenya in the Context of Food Price Volatility

This article provides a national?level picture of food security and wellbeing in Kenya, focusing on the situation before the 2008 food price crisis, and the period after 2008. The extent and impact of food price changes differ spatially, and households have different ways of trying to respond. The major food price shocks in 2008 and 2011 impacted negatively on wellbeing, but even after 2011 prices continued to rise in most areas. Seasonal price movements also have adverse effects for resource?poor households. Food price rises have a particularly negative impact on the poorest households. Urban slum dwellers are vulnerable given their dependence on market purchases to meet food needs, but most rural households also have high dependence on market purchases. Current social protection programmes are piecemeal and unreliable. The article concludes with proposals on more effective social protection approaches and agricultural programmes which can address problems linked to food price rises

Fiscal Asymmetric Decentralization Conundrum: Influence of County Cash Management on Household Effects in Kenya

This study aims at determining the influence of county cash management on household effects in Kenya. This is a qualitative research that has utilized both primary and secondary data from county governments and the National Treasury respectively. The sample has been developed from the Kenya National Bureau of Statistics list of households in Kenya. The result indicates that effective cash management would enhance household welfare, leakages and lack of prioritization among others notwithstanding. The study concludes that there is need to enhance oversight of the treasury management across governments. The capacity of treasury managers should also be improved to secure fiscal discipline

2021 Social Accounting Matrix for Kenya: A Nexus Project SAM

The 2021 Kenya Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems

Fiscal Asymmetric Decentralization and the Influence of County Fiscal Autonomy on Household Effects in Kenya

Fiscal asymmetric decentralization is seen as the panacea in solving persistent income inequalities facing developing economies. Despite efforts to finance County governments, about 42% of Kenyan’s 47.6 million people still live below the poverty level. This study evaluates the influence of County fiscal autonomy on household effects in Kenya. Both primary and secondary data, collected from households in 47 county governments and the Commission on Revenue Allocation, respectively. A Sample of 4,813 households was drawn from 96,251 lists of households developed by Kenya National Bureau of Statistics. Cochran's correction formula was used. The result finds an insignificant negative correlation between county fiscal autonomy and household effects in Kenya. Further studies are recommended with diverse indicators. Findings in this paper are generalizable and a point of reference for policymakers in Kenya

Factors Influencing The Demand For Credit By The Private Sector In Kenya

This study investigates the effects of selected macroeconomic variables on the Demand for credit by the private sector in Kenya. The study used annual time series data for the period 1980-2012. Data was obtained from Kenya National Bureau of Statistics, World Development Indicators and supplemented by Central Bank of Kenya. Using Vector Error Correction Model (VECM) methodology, the study established that; Public investment, Short term interest rate, Long term interest rate, Employment and Domestic debt have a positive effect on demand for credit by the private sector, while per capita GDP and Exchange rate have a negative effect. The policy implication of these results is that providing sound economic growth policies, a stable macroeconomic situation, policies leading to lower credit cost and greater financial liberalization would simultaneously boost lending and lower the risk of lending to the private sector

Public Health Spending and Health Outcomes in Kenya

Health is important for sustainable economic performance of a country. This study seeks to investigate the effectiveness of public health spending on health outcomes. This is obtained by estimating a health production function for Kenya. In the study, infant mortality rate is used to measure health outcomes. The study uses time series data running from 1984 to 2015. The data is obtained from World Bank database and Kenya National Bureau of Statistics Economic Surveys. Error Correction Model (ECM) is adopted due to presence of cointegration. The results show that public expenditure on average influence health outcomes in Kenya. These results therefore provide evidence to support that increase in public expenditure improves health outcomes. The other factor that is found to be important determinant of health outcomes in Kenya is child immunization. The major policy implication of this study is that Kenyan government should increase budgetary allocation to health sector. In addition, government of Kenya should allocate more resources to child immunization

Modelling Inflation Rate Volatility in Kenya Using Arch -Type Model Family

This paper describe the empirical study based on financial time series modelling with special application to modelling inflation data for Kenya. Specifically  the theory of time series is modelled and  applied  to  the  inflation  data  spanning  from  January  1985  to  April 2016 obtained  from  the  Kenya National Bureau of Statistics.  Three  Autoregressive Conditional  Heteroscedastic  (ARCH)  family  type  models  (traditional  ARCH, Generalized  ARCH  (GARCH),  GJR GARCH and  the  Exponential  GARCH  (EGARCH))  models were fitted and forecast to the data. This was principally because the data were characterized by changing mean and variance. The outcome of the study revealed that the ARCH –family type models, particularly, the EGARCH (1, 1) with generalized error distribution (GED) was the best in modelling and forecasting Kenya’s monthly rates of inflation. The study recommends that governments, policy makers interested  in  modelling  and  forecasting  monthly  rates  of  inflation  should take into consideration  Heteroscedastic models since it  captures the volatilities in the monthly rates of inflation. Keywords: Inflation, Volatility, GARC

Snapshot of civil registration and vital statistics systems of Kenya

Library has French versionThe Ministry of Interior and Coordination of National Government is responsible for civil registration in Kenya. A large backlog, along with delayed registrations of births and deaths is attributed to the lack of demand for services and the lack of easy access to registration centres, especially in rural areas. The Kenya National Bureau of Statistics (KNBS) has the legal mandate for the collection, compilation, analysis, publication and dissemination of “vital occurrences and morbidity” and the co-ordination of the national statistical system. Coordination and collaboration among key stakeholders are a necessary condition for the improvement of CRVS systems.Global Affairs Canad

Childhood disability in Turkana, Kenya:Understanding how carers cope in a complex humanitarian setting

Background: Although the consequences of disability are magnified in humanitarian contexts, research into the difficulties of caring for children with a disability in such settings has received limited attention.Methods: Based on in-depth interviews with 31 families, key informants and focus group discussions in Turkana, Kenya, this article explores the lives of families caring for children with a range of impairments (hearing, vision, physical and intellectual) in a complex humanitarian context characterised by drought, flooding, armed conflict, poverty and historical marginalisation.Results: The challenging environmental and social conditions of Turkana magnified not only the impact of impairment on children, but also the burden of caregiving. The remoteness of Turkana, along with the paucity and fragmentation of health, rehabilitation and social services, posed major challenges and created opportunity costs for families. Disability-related stigma isolated mothers of children with disabilities, especially, increasing their burden of care and further limiting their access to services and humanitarian programmes. In a context where social systems are already stressed, the combination of these factors compounded the vulnerabilities faced by children with disabilities and their families.Conclusion: The needs of children with disabilities and their carers in Turkana are not being met by either community social support systems or humanitarian aid programmes. There is an urgent need to mainstream disability into Turkana services and programmes.</jats:p