United Nations Sustainable Development Goals: Promoting health and well-being through physical education partnerships

The United Nations recently approved the Sustainable Development Goals (SDGs) which forms a guideline policy for all nations. While the UN have strongly advised that partnerships are essential for the implementation of these global goals, within local communities there is little evidence of how this is best done or what it looks like in practice. This paper shares a health and wellbeing community initiative that achieves goals three and four of the SDGs, and in doing so models how to implement physical education partnerships as advocated by the UN. The highly successful innovative initiative is “Best Start: A community collaborative approach to lifelong health and wellness” (2011–2014).This paper shares a health and wellbeing partnership, modelling implementation of physical education (PE) advocated by the United Nations (UN). The Sustainable Development Goals (SDGs) exemplifies global efforts towards equality, specifically Goal 3 and 4 address health and wellbeing. The purpose of this paper is to provide insights into cross sector “partnerships”, identified as essential for the implementation of the SDGs. This is significant as the UN acknowledge a present gap of information on partnerships in action and a need for reporting from the ground level. The project “Best Start: A community collaborative approach to lifelong health and wellness”, began as a partnership between a university and nearby schools and quickly grew to involve Australian Registered Training Organisations, the local health industry, Education departments and sport governing bodies. The collaborations involved pre-service teachers teaching Health and PE lessons to children in a disadvantaged socio-economic area, creating valuable learning experiences for stakeholders. Local and global communities were involved in research and reform. The project creatively optimised resources available through state, Australian and international connections. International partnerships enabled identification of unique contextual opportunities. Programme planning was strengthened with data gathered from an England and Wales Ofsted awarded Primary Physical Education course. Various methods, including; semi-structured interviews, reflective journal, observations, document analysis, and Student Evaluation of Teaching Units (SETU) were adopted. SETU is valid and reliable data collected by the university for the purposes of research. The findings support that partnerships enable SDG implementation and the research paper offers direction for localisation

Harmonisation of demographic and socio-economic variables in cross-national survey research

The aim of the present paper is to demonstrate how demographic and socio-economic variables in cross-national comparative survey research can be harmonized. After a short introduction discussing the difference between translation and harmonization, the path from a national concept and structure to an internationally-applicable measurement instrument is traced using the education variable as an example. Tables, References. Adapted from the source document. (author's abstract

The Impact of Social Transfers in Central and Eastern Europe

This paper analyses the impact of social transfers in seven Central and Eastern European countries using 16 datasets provided by the Luxembourg Income Study (Czech Republic 1992, 1996; Estonia 2000; Hungary 1991, 1994, 1999; Poland 1986, 1992, 1995, 1999; Romania 1995, 1997, Slovakia 1992, 1996; Slovenia 1997, 1999). The principal objective is (a) to provide an overview of the development of social inequality in Central and Eastern Europe; and (b) to quantify the change of poverty rates among the total population and among targeted groups (unemployment compensation, means-tested and family benefits beneficiaries) before and after transfers. The results of this paper show that although the access to these benefits is no guarantee for leaving poverty, social transfers significantly improve the economic conditions of families in need. Without the existence of these types of provisions, Central and Eastern European societies would not only be more unequal societies, but would be also more atomised and disaggregated societies. In the long run, this might seriously damage further reforms or the democratisation process itself

Household Wealth and the Measurement of Economic Well-Being in the United States

The standard official measure of household economic well-being in the United States is gross money income. The general consensus is that such measures are limited because they ignore other crucial determinants of well-being. We modify the standard measure to account for one such determinant: household wealth. We then analyze the level and distribution of economic well-being in the United States during the 1980s and 1990s, using the standard measure and a measure that differs from the standard in that income from wealth is calculated as the sum of lifetime annuity from nonhome wealth and imputed rental-equivalent for owner-occupied homes. Our findings indicate that the level and distribution of economic well-being is substantially altered when money income is adjusted for wealth. Over the 1989-2000 period, median wellbeing appears to increase faster when these adjustments are made than when standard money income is used. This adjustment also widens the income gap between African Americans and whites, but increases the relative well-being of the elderly. Adding imputed rent and annuities from household wealth to household income considerably increases measured inequality and the share of income from wealth in inequality. However, both measures show about the same rise in inequality over the period. Our results contradict the assertion that the working rich have replaced the rentiers at the top of the economic ladder

Class Structure and Economic Inequality

Existing empirical schemas of class structure do not specify the capitalist class in an adequate manner. We propose a schema in which the specification of capitalist households is based on wealth thresholds. Individuals in noncapitalist households are assigned class locations based on their position in the labor process. The schema is designed to address the question of the relationship between class structure and overall economic inequality. Our analysis of the U.S. data shows that class divisions among households, especially the large gaps between capitalist households and everyone else, contribute substantially to overall inequality

Poor People in Rich Nations: The United States in Comparative Perspective

Most examinations of United States domestic antipoverty policy are inherently parochial, for they are based on the experiences of only our nation in isolation from the others. However, cross-national comparisons can also teach lessons about antipoverty policy. While all nations value low poverty, high levels of economic self-reliance, and equality of opportunity for younger persons, they differ dramatically in the extent to which they reach these goals. Nations also exhibit differences in the extent to which working age adults mix economic self-reliance (earned incomes), family support, and government support to avoid poverty. We begin by reviewing international concepts and measures of poverty. The Luxembourg Income Study (LIS) database contains the information needed to construct comparable poverty measures for more than 30 nations. It allows comparisons of the level and trend of poverty and inequality across several nations, along with considerable detail on the sources of market incomes and public policies that shape these outcomes. We will highlight the different relationships between antipoverty policy and outcomes among several countries, and consider the implications of our analysis for research and for antipoverty policy in the United States. In doing so, we will draw on a growing body of evidence that evaluates antipoverty programs in a cross-national context. Many international bodies have publishes crossnational studies of the incidence of poverty in recent years, including the United Nations Children's Fund, the United Nations Human Development Report, the Organization for Economic Cooperation and Development, and the Luxembourg Income Study. A large subset of these studies is based on LIS data