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

Youth-Related Policies

Youth-Related Policie

Challenges and Opportunities for Youth Saving

Challenges and Opportunities for Youth Savin

Recommendations of the task force on public policy

This is the published version, reproduced here with permission from the publisher. This article is also available electronically from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2741851/.The Task Force on Public Policy was established by the Association for Behavior Analysis to examine ways to encourage members to contribute to policymaking relevant to the public interest. Members discussed issues pertinent to this activity and summarized their discussion in a formal report.' Recommendations of the Task Force for conducting and disseminating policy research and for training, technical assistance, and other services supportive of behavior-analytic research in the public policy arena are presented here

'I act this way because why?' Prior knowledges, teaching for change, imagining new masculinities

This article begins by outlining some of the prior knowledges brought by undergraduate students to an introduction to gender studies class in the Women's and Gender Studies Department at the University of the Western Cape, South Africa. I show that, at the beginning of the course, students clearly understand gender to refer to women and femininity, imagining femininity (but not masculinity) to be responsive to social change. I suggest that, in the face of these prior knowledges, it is important to focus on masculinity as performance, as a cultural artefact and one that is deeply harmful to South African men. Student experiences of this teaching and learning suggest that it offers possibilities for imagining men as allies and beneficiaries - rather than enemies - in the struggle for gender equity

Cardiovascular inflammation in healthy women: multilevel associations with state-level prosperity, productivity and income inequality

<p>Abstract</p> <p>Background</p> <p>Cardiovascular inflammation is a key contributor to the development of atherosclerosis and the prediction of cardiovascular events among healthy women. An emerging literature suggests biomarkers of inflammation vary by geography of residence at the state-level, and are associated with individual-level socioeconomic status. Associations between cardiovascular inflammation and state-level socioeconomic conditions have not been evaluated. The study objective is to estimate whether there are independent associations between state-level socioeconomic conditions and individual-level biomarkers of inflammation, in excess of individual-level income and clinical covariates among healthy women.</p> <p>Methods</p> <p>The authors examined cross-sectional multilevel associations among state-level socioeconomic conditions, individual-level income, and biomarkers of inflammation among women (n = 26,029) in the Women's Health Study, a nation-wide cohort of healthy women free of cardiovascular diseases at enrollment. High sensitivity C-reactive protein (hsCRP), soluble intercellular adhesion molecule-1 (sICAM-1) and fibrinogen were measured between 1993 and 1996. Biomarker levels were examined among women within quartiles of state-level socioeconomic conditions and within categories of individual-level income.</p> <p>Results</p> <p>The authors found that favorable state-level socioeconomic conditions were correlated with lower hsCRP, in excess of individual-level income (e.g. state-level real per capital gross domestic product fixed effect standardized Βeta coefficient [Std B] -0.03, 95% CI -0.05, -0.004). Individual-level income was more closely associated with sICAM-1 (Std B -0.04, 95% CI -0.06, -0.03) and fibrinogen (Std B -0.05, 95% CI -0.06, -0.03) than state-level conditions.</p> <p>Conclusions</p> <p>We found associations between state-level socioeconomic conditions and hsCRP among healthy women. Personal household income was more closely associated with sICAM-1 and fibrinogen than state-level socioeconomic conditions. Additional research should examine these associations in other cohorts, and investigate what more-advantaged states do differently than less-advantaged states that may influence levels of cardiovascular inflammation among healthy women.</p

Repurposing NGO data for better research outcomes: A scoping review of the use and secondary analysis of NGO data in health policy and systems research

Background Non-government organisations (NGOs) collect and generate vast amounts of potentially rich data, most of which are not used for research purposes. Secondary analysis of NGO data (their use and analysis in a study for which they were not originally collected) presents an important but largely unrealised opportunity to provide new research insights in critical areas including the evaluation of health policy and programmes. Methods A scoping review of the published literature was performed to identify the extent to which secondary analysis of NGO data has been used in health policy and systems research (HPSR). A tiered analytic approach provided a comprehensive overview and descriptive analyses of the studies which: 1) used data produced or collected by or about NGOs; 2) performed secondary analysis of the NGO data (beyond use of an NGO report as a supporting reference); 3) used NGO-collected clinical data. Results Of the 156 studies which performed secondary analysis of NGO-produced or collected data, 64% (n=100) used NGO-produced reports (e.g. to critique NGO activities and as a contextual reference) and 8% (n=13) analysed NGO-collected clinical data.. Of the studies, 55% investigated service delivery research topics, with 48% undertaken in developing countries and 17% in both developing and developed. NGO-collected clinical data enabled HPSR within marginalised groups (e.g. migrants, people in conflict-affected areas), with some limitations such as inconsistencies and missing data. Conclusion We found evidence that NGO-collected and produced data are most commonly perceived as a source of supporting evidence for HPSR and not as primary source data. However, these data can facilitate research in under-researched marginalised groups and in contexts that are hard to reach by academics, such as conflict-affected areas. NGO–academic collaboration could help address issues of NGO data quality to facilitate their more widespread use in research. Their use could enable relevant and timely research in the areas of health policy, programme evaluation and advocacy to improve health and reduce health inequalities, especially in marginalised groups and developing countries

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.Non-PRIFPRI1; 4 Transforming Agricultural and Rural Economies; 5 Strengthening Institutions and Governance; G Cross-cutting gender theme; Capacity Strengthening; Nexus SAMsDevelopment Strategies and Governance (DSG); Foresight and Policy Modeling (FPM); Transformation Strategie

Kenya National Policies and Strategies Seminar Series: Leveraging the New Bottom-Up Economic Plan for Food System Transformation: Video

Kenya NPS Seminar Series: Leveraging the New Bottom-Up Economic Plan for Food System Transformation in Kenya. Co-organized by IFPRI, CGIAR Initiative on National Policies and Strategies, and KIPPRA. December 5, 2022 • 14:00 - 16:00 PM EA

Impacts of Implementing the Bottom-Up Economic Plan on Food Systems and Social Outcomes

Lensa Omune, Clemens Breisinger, Xinshen Diao, Benson Kiriga, Joshua Laichena, Juneweenex Mbuthia, James Thurlow, and Joseph Karugia NPS-KIPPRA Seminar- Leveraging the new bottom-up economic plan for food System December 5, 2022