Gender Inequality, Poverty and Human Development in Kenya: Main Indicators, Trends and Limitations*
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Gender Dimensions in Emerging African Music Genres: a Case of Kenyan Local Hip Hop
IOSR Journal Of Humanities And Social Science (IOSR-JHSS) Volume 24, Issue 5, Ser. 9 (May. 2019) 54-61 e-ISSN: 2279-0837, p-ISSN: 2279-0845. www.iosrjournals.org Gender Dimensions in Emerging African Music Genres: A Case of Kenyan Local Hip Hop Pamela N.Wanjala Shamberere Technical Training Institute P.o Box 1316, Kakamega, Kenya Abstract: The question of gender bias is now seen as a major challenge in almost every discipline that deals with human behavior, cognition, institutions, society and culture. Therefore, this paper was an attempt to investigate gender dimensions in the emerging African genres; a case study of local hip hop songs in Kenya. It discussed the extent to which hip hop language is gender biased. It focused on the popular local hip hop songs and video images that occur with the songs. The study used the Social Semiotic Theory in the theoretical framework. Ten hip hop songs and ten video excerpts were purposively selected for analysis. The hip hop songs were coded according to the name of the artist and year of production. The data was analyzed under three sections: Linguistic analysis, Image analysis and Gender analysis. The study revealed that indeed there is gender bias in the language of the favourite youth culture. This was revealed in the lexis that distinguishes gender, in the syntactic analysis and also in the image analysis. It was found that in hip hop music, men tend to be regarded higher in terms of roles, occupation and general human traits like strength and control than women. The study therefore recommends that radio and television stations, and other advertising agencies should join the battle for women liberation by using gender sensitive language and focusing on positive and constructive societal changes in terms of gender roles. -
Why Is Child Malnutrition Lower in Urban Than Rural Areas? Evidence from 36 Developing Countries
FCNDP No. 176 FCND DISCUSSION PAPER NO. 176 WHY IS CHILD MALNUTRITION LOWER IN URBAN THAN RURAL AREAS? EVIDENCE FROM 36 DEVELOPING COUNTRIES Lisa C. Smith, Marie T. Ruel, and Aida Ndiaye Food Consumption and Nutrition Division International Food Policy Research Institute 2033 K Street, N.W. Washington, D.C. 20006 U.S.A. (202) 862–5600 Fax: (202) 467–4439 March 2004 Copyright © 2004 International Food Policy Research Institute FCND Discussion Papers contain preliminary material and research results, and are circulated prior to a full peer review in order to stimulate discussion and critical comment. It is expected that most Discussion Papers will eventually be published in some other form, and that their content may also be revised. ii Abstract While ample evidence documents that urban children generally have better nutritional status than their rural counterparts, recent research suggests that urban malnutrition is on the rise. The environment, choices, and opportunities of urbanites differ greatly from those of rural dwellers—from employment conditions to social and family networks to access to health care and other services. Given these differences, understanding the relative importance of the various determinants of child malnutrition in urban and rural areas—and especially whether they differ—is key to designing context- relevant, effective program and policy responses for stemming malnutrition. This study uses Demographic and Health Survey data from 36 developing countries to address the question of whether the socioeconomic determinants of child nutritional status differ across urban and rural areas. The purpose is to answer the broader question of why child malnutrition rates are lower in urban areas. -
Urban and Rural Poverty Areas
Urban and Rural Poverty Areas The Developmental Disabilities Assistance and Bill of Rights Act of 2000, P.L. 106‐402, includes two references to “urban and rural poverty areas” in SUBTITLE B‐‐FEDERAL ASSISTANCE TO STATE DEVELOPMENTAL DISABILITIES COUNCILS. The references are: 42 USC 15024 SEC. 124(C)(5)(E) State Plan (E) URBAN AND RURAL POVERTY AREAS. ‐The plan shall provide assurances that special financial and technical assistance will be given to organizations that provide community services, individualized supports, and other forms of assistance to individuals with developmental disabilities who live in areas designated as urban or rural poverty areas 42 USC 15026 SEC. 126. FEDERAL AND NON‐FEDERAL SHARE (a) AGGREGATE COST. ‐ (2) URBAN OR RURAL POVERTY AREAS. ‐In the case of projects whose activities or products target individuals with developmental disabilities who live in urban or rural poverty areas, as determined by the Secretary, the Federal share of the cost of all such projects may not be more than 90 percent of the aggregate necessary cost of such projects, as determined by the Secretary. Definition of Poverty In August 1969, the U.S. Bureau of the Budget (the predecessor of the U.S. Office of Management and Budget) designated the Census Bureau poverty thresholds as the federal government’s official statistical definition of poverty. * According to Bureau of the Census Statistical Brief/95‐13, in 1990, more than 1 in 5 Americans – or 52 million – lived in a “poverty area.” Poverty areas are census tracts or block numbering areas (BNAs) where at least 20 percent of residents were poor in 1989. -
African Development Report 2015 Growth, Poverty and Inequality Nexus
African Development Report 2015 African Despite earlier periods of limited growth, African economies Sustaining recent growth successes while making future growth have grown substantially over the past decade. However, poverty more inclusive requires smart policies to diversify the sources African Development and inequality reduction has remained less responsive to growth of growth and to ensure broad-based participation across successes across the continent. How does growth affect poverty segments of society. Africa needs to adopt a new development and inequality? How can Africa overcome contemporary and trajectory that focuses on effective structural transformation. Report 2015 future sustainable development challenges? This 2015 edition Workers need to move from low productivity sectors to those of the African Development Report (ADR) offers analysis, where both productivity and earnings are higher. Key poverty- Growth, Poverty and Inequality Nexus: synthesis and recommendations that are relevant to these reducing sectors, such as agriculture and manufacturing, should Overcoming Barriers to Sustainable Development questions. The objective of this Report is to guide policy be targeted and accorded high priority for public and private Growth, Poverty Growth, Development and Inequality Sustainable to Nexus: Overcoming Barriers processes by contributing to the debate analysing what has investment. Adding value to many of Africa’s primary exports happened during recent years, what has worked well, what may earn the continent a competitive margin in international hasn’t worked well, and what needs to be done to address markets, while also meeting domestic market needs, especially further barriers to sustainable development in Africa? Africa’s with regard to food security. Apart from the need to prioritise recent economic growth has not been accompanied by a real certain sectors, other policy recommendations emanating from structural transformation. -
Determinants of Multidimensional Poverty Index of Niger State, Nigeria
International Journal of Academic Research in Business and Social Sciences Vol. 1 1 , No. 14, Contemporary Business and Humanities Landscape Towards Sustainability. 2021, E-ISSN: 2222-6990 © 2021HRMARS Determinants of Multidimensional Poverty Index of Niger State, Nigeria Musa Mohammed, Rossazana Ab-Rahim To Link this Article: http://dx.doi.org/10.6007/IJARBSS/v11-i14/8532 DOI:10.6007/IJARBSS/v11-i14/8532 Received: 29 November 2020, Revised: 25 December 2020, Accepted: 18 January 2021 Published Online: 30 January 2021 In-Text Citation: (Mohammed & Ab-Rahim, 2021) To Cite this Article: Mohammed, M., & Ab-Rahim, R. (2021). Determinants of Multidimensional Poverty Index of Niger State, Nigeria. International Journal of Academic Research in Business and Social Sciences, 11(14), 95– 108. Copyright: © 2021 The Author(s) Published by Human Resource Management Academic Research Society (www.hrmars.com) This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode Special Issue: Contemporary Business and Humanities Landscape Towards Sustainability, 2021, Pg. 95 – 108 http://hrmars.com/index.php/pages/detail/IJARBSS JOURNAL HOMEPAGE Full Terms & Conditions of access and use can be found at http://hrmars.com/index.php/pages/detail/publication-ethics 95 International Journal of Academic Research in Business and Social Sciences Vol. 1 1 , No. 14, Contemporary Business and Humanities Landscape Towards Sustainability. -
Measuring the Inequality of Well-Being: the Myth Of
Measuring the Inequality of Well-being: The Myth of “Going beyond GDP” By Lauri Peterson Submitted to Central European University Department of International Relations and European Studies In partial fulfillment of the requirements for the degree of Master of Arts Supervisor: Professor Thomas Fetzer Word count: 15,987 CEU eTD Collection Budapest, Hungary 2013 Abstract The last decades have seen a surge in the development of indices that aim to measure human well-being. Well-being indices (such as the Human Development Index, the Genuine Progress Indicator and the Happy Planet Index) aspire to go beyond the standard growth-based economic definitions of human development (“go beyond GDP”), however, this thesis demonstrates that this is not always the case. The thesis looks at the methods of measuring the distributional aspects of human well-being. Based on the literature five clusters of inequality are developed: economic inequality, educational inequality, health inequality, gender inequality and subjective inequality. These types of distribution have been recognized to receive the most attention in the scholarship of (in)equality measurement. The thesis has discovered that a large number of well-being indices are not distribution- sensitive (do not account for inequality) and indices which are distribution-sensitive primarily account for economic inequality. Only a few indices, such as the Inequality-adjusted Human Development Index, the Gender Inequality Index, the Global Gender Gap and the Legatum Prosperity Index are sensitive to non-economic inequality. The most comprehensive among the distribution-sensitive well-being indices that go beyond GDP is the Inequality Adjusted Human Development Index which accounts for the inequality of educational and health outcomes. -
Measuring Human Development and Human Deprivations Suman
Oxford Poverty & Human Development Initiative (OPHI) Oxford Department of International Development Queen Elizabeth House (QEH), University of Oxford OPHI WORKING PAPER NO. 110 Measuring Human Development and Human Deprivations Suman Seth* and Antonio Villar** March 2017 Abstract This paper is devoted to the discussion of the measurement of human development and poverty, especially in United Nations Development Program’s global Human Development Reports. We first outline the methodological evolution of different indices over the last two decades, focusing on the well-known Human Development Index (HDI) and the poverty indices. We then critically evaluate these measures and discuss possible improvements that could be made. Keywords: Human Development Report, Measurement of Human Development, Inequality- adjusted Human Development Index, Measurement of Multidimensional Poverty JEL classification: O15, D63, I3 * Economics Division, Leeds University Business School, University of Leeds, UK, and Oxford Poverty and Human Development Initiative (OPHI), University of Oxford, UK. Email: [email protected]. ** Department of Economics, University Pablo de Olavide and Ivie, Seville, Spain. Email: [email protected]. This study has been prepared within the OPHI theme on multidimensional measurement. ISSN 2040-8188 ISBN 978-19-0719-491-13 Seth and Villar Measuring Human Development and Human Deprivations Acknowledgements We are grateful to Sabina Alkire for valuable comments. This work was done while the second author was visiting the Department of Mathematics for Decisions at the University of Florence. Thanks are due to the hospitality and facilities provided there. Funders: The research is covered by the projects ECO2010-21706 and SEJ-6882/ECON with financial support from the Spanish Ministry of Science and Technology, the Junta de Andalucía and the FEDER funds. -
Quantitative Comparisons of Economic Systems
Lecture 3: Quantitative Comparisons of Economic Systems Prof. Paczkowski Rutgers University Fall, 2007 Prof. Paczkowski (Rutgers University) Lecture 3: Quantitative Comparisons of Economic Systems Fall, 2007 1 / 87 Part I Assignments Prof. Paczkowski (Rutgers University) Lecture 3: Quantitative Comparisons of Economic Systems Fall, 2007 2 / 87 Assignments W. Baumol, et al. Good Capitalism, Bad Capitalism Available at http://www.yalepresswiki.org/ Prof. Paczkowski (Rutgers University) Lecture 3: Quantitative Comparisons of Economic Systems Fall, 2007 3 / 87 Assignments Research and learn as much as you can about the following: Real GDP Human Development Index Gini Coefficient Corruption Index World Population Growth Human Poverty Index Quality of Life Index Reporters without Borders Be prepared for a second Group Teach on these after the midterm: October 24 Prof. Paczkowski (Rutgers University) Lecture 3: Quantitative Comparisons of Economic Systems Fall, 2007 4 / 87 Part II Introduction Prof. Paczkowski (Rutgers University) Lecture 3: Quantitative Comparisons of Economic Systems Fall, 2007 5 / 87 Comparing Economic Systems How do we compare economic systems? We previously noted the many qualitative ways of comparing economic systems { organization, incentives, etc What about the quantitative? Potential quantitative measures might include Real GDP level and growth Population level and growth Income and wealth distribution Major financial and industrial statistics Indexes of freedom and corruption These measures should tell a story The story is one of economic performance Prof. Paczkowski (Rutgers University) Lecture 3: Quantitative Comparisons of Economic Systems Fall, 2007 6 / 87 Comparing Economic Systems (Continued) Economic performance is multifaceted Judging how an economic system performs, we can look at broad topics or issues such as.. -
KENYA POPULATION SITUATION ANALYSIS Kenya Population Situation Analysis
REPUBLIC OF KENYA KENYA POPULATION SITUATION ANALYSIS Kenya Population Situation Analysis Published by the Government of Kenya supported by United Nations Population Fund (UNFPA) Kenya Country Oce National Council for Population and Development (NCPD) P.O. Box 48994 – 00100, Nairobi, Kenya Tel: +254-20-271-1600/01 Fax: +254-20-271-6058 Email: [email protected] Website: www.ncpd-ke.org United Nations Population Fund (UNFPA) Kenya Country Oce P.O. Box 30218 – 00100, Nairobi, Kenya Tel: +254-20-76244023/01/04 Fax: +254-20-7624422 Website: http://kenya.unfpa.org © NCPD July 2013 The views and opinions expressed in this report are those of the contributors. Any part of this document may be freely reviewed, quoted, reproduced or translated in full or in part, provided the source is acknowledged. It may not be sold or used inconjunction with commercial purposes or for prot. KENYA POPULATION SITUATION ANALYSIS JULY 2013 KENYA POPULATION SITUATION ANALYSIS i ii KENYA POPULATION SITUATION ANALYSIS TABLE OF CONTENTS LIST OF ACRONYMS AND ABBREVIATIONS ........................................................................................iv FOREWORD ..........................................................................................................................................ix ACKNOWLEDGEMENT ..........................................................................................................................x EXECUTIVE SUMMARY ........................................................................................................................xi -
Connected Women Mapping the Mobile Money Gender Gap: Insights from Côte D’Ivoire and Mali
Connected Women Mapping the mobile money gender gap: Insights from Côte d’Ivoire and Mali APRIL 2017 GSMA Connected Women The GSMA represents the interests of mobile GSMA’s Connected Women works with mobile operators worldwide, uniting nearly 800 operators operators and their partners to address the barriers with almost 300 companies in the broader mobile to women accessing and using mobile internet and ecosystem, including handset and device makers, mobile money services. Together we can unlock software companies, equipment providers and this substantial market opportunity for the mobile internet companies, as well as organisations in industry, deliver significant socio-economic benefits, adjacent industry sectors. The GSMA also produces and transform women’s lives. industry-leading events such as Mobile World Congress, Mobile World Congress Shanghai, Mobile For more information, please contact us: World Congress Americas and the Mobile 360 Series of conferences. Web: www.gsma.com/mobilefordevelopment/ programmes/connected-women For more information, please visit the GSMA corporate website at www.gsma.com Twitter: @GSMAm4d Follow the GSMA on Twitter: @GSMA Email: [email protected] Author: Elisa Minischetti THE CONNECTED WOMEN PROGRAMME IS SUPPORTED BY THE BILL & MELINDA GATES FOUNDATION AND THE UK DEPARTMENT FOR INTERNATIONAL DEVELOPMENT (DFID) MAPPING THE MOBILE MONEY GENDER GAP: INSIGHTS FROM CÔTE D’IVOIRE AND MALI CONTENTS 1. EXECUTIVE SUMMARY 4 6. BARRIERS TO MOBILE 32 MONEY UPTAKE AND USAGE 2. INTRODUCTION 8 Barriers for mobile phone owners: an overview 32 3. METHODOLOGY, 10 Mapping the barriers along the mobile 35 DEFINITIONS, AND SCOPE OF money customer journey THE RESEARCH Perceived lack of need 37 Poor understanding of the service 43 Methodology 10 Lack of money 45 The Mobile Money Customer Journey 11 Secondary barriers preventing women from 47 framework adopting and using mobile money Definitions 12 The impact of other socio-demographic 50 Scope of research 13 factors Women and mobile in Mali and Côte d’Ivoire: 14 A comparison 7. -
The Mdgs and Sauri Millennium Village in Kenya
An Island of Success in a Sea of Failure? The MDGs and Sauri Millennium Village in Kenya Amrik Kalsi MBA: Master of Business Administration MSc: Master of Science in Management and Organisational Development MA: Master of Arts A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2015 The School of Social Science Abstract For a number of decades, foreign aid-supported poverty reduction and development concepts, and policies and programmes developed by development agencies and experts implemented since the 1950s, have produced limited short-term and sometimes contradictory results in Kenya. In response to this problem in 2000, the adoption of the Millennium Development Goals (MDGs) was in many respects a tremendous achievement, gaining unprecedented international support. The MDGs model has since become the policy of choice to reduce poverty and hunger in developing countries by half between 2000 and 2015, being implemented by the Millennium Village Project (MVP) ‘Big-Push’ model, seemingly designed as a ‘bottom-up’ approach. Poverty reduction and sustainable development are key priorities for the Kenyan government and the Kenya Vision 2030 blueprint project. The MDGs process, enacted as the Millennium Village Project (MVP) in Kenya for poverty reduction, is now at the centre of intense debate within Kenya. It is widely recognised that foreign aid maintained MVP and sustainable development through the UN and local efforts, especially in their present form, have largely failed to address poverty in Kenya. Furthermore, not enough was known about the achievements of the MVP model in real- world situations when the MVP model interventions were applied in the Sauri village. -
Understanding Rural Poverty in the United States Madhura Swaminathan*
BOOK REVIEW Understanding Rural Poverty in the United States Madhura Swaminathan* Tickamyer, Ann R., Sherman, Jennifer, and Warlick, Jennifer (eds.) (2017), Rural Poverty in the United States, Columbia University Press, New York, pp. 476, USD 40. This book, written by a group of American sociologists, is based on careful quantitative analysis and cartography. It is in five parts. The first part is on the geography and demography of the rural population of the United States (US). The rural population of the US today exceeds 50 million and is spread geographically over 75 per cent of the area of the country. The definition of rural in the United States is essentially that which is not urban. Specifically, counties, the basic unit of government, are classified as either metropolitan or non-metropolitan (or rural). A metropolitan county is one “with an urban core (city) population of 50,000 or more residents, along with adjacent counties (the suburbs) that link to the urban core by commuting patterns.” There are 1,090 metropolitan counties and 2,051 non-metropolitan counties in the country. The first chapter by Kenneth Johnson brings out two distinctive features of change in respect of the rural population: ageing and diversifying in terms of minorities. While the rural population is still predominantly white with clear pockets of African Americans and Hispanics, the Census data point to a rise in ethnic and racial diversity over the last two decades. The next chapter by Bruce Weber and Kathleen Miller maps changes in rural poverty over the last century. The official poverty measure (OPM) in the US, developed by the Census Bureau, is based on a 1960s estimate of the cost of a minimum adequate diet (adjusted for family size and composition).