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Luiz R De Mello - One of the best experts on this subject based on the ideXlab platform.

  • more on the effectiveness of public spending on health care and education a covariance structure model
    Journal of International Development, 2003
    Co-Authors: Emanuele Baldacci, Maria Teresa Guinsiu, Luiz R De Mello
    Abstract:

    Using data for a sample of developing countries and transition economies, this paper estimates the relationship between government spending on health care and education and selected Social Indicators. Unlike previous studies, where Social Indicators are used as proxies for the unobservable health and education status of the population, this paper estimates a latent variable model. The findings suggest that public spending is an important determinant of Social outcomes, particularly in the education sector. Overall, the latent variable approach yields better estimates of a Social production function than the traditional approach, with higher elasticities of Social Indicators with respect to income and spending, therefore providing stronger evidence that increases in public spending do have a positive impact on Social outcomes. Copyright © 2003 John Wiley & Sons, Ltd.

  • more on the effectiveness of public spending on health care and education a covariance structure model
    Social Science Research Network, 2002
    Co-Authors: Emanuele Baldacci, Maria Teresa Guinsiu, Luiz R De Mello
    Abstract:

    Using data for a sample of developing and transition countries, this paper estimates the relationship between government spending on health care and education, and Social Indicators. Unlike previous studies, where Social Indicators are used as proxies for the unobservable health and education status of the population, this paper estimates a latent variable model. The findings suggest that public Social spending is an important determinant of Social Indicators, particularly in the education sector. Overall, the latent variable approach was found to yield more adequate estimates of Social production functions, with larger elasticities of Social Indicators with respect to income and spending on education than the traditional approach, providing stronger evidence that increases in public spending have a positive impact on Social Indicators. The study also finds that the millennium goal of universal primary education enrollment by 2015 could be achieved through an increase by one-third, on average, in education spending.

Emanuele Baldacci - One of the best experts on this subject based on the ideXlab platform.

  • more on the effectiveness of public spending on health care and education a covariance structure model
    Journal of International Development, 2003
    Co-Authors: Emanuele Baldacci, Maria Teresa Guinsiu, Luiz R De Mello
    Abstract:

    Using data for a sample of developing countries and transition economies, this paper estimates the relationship between government spending on health care and education and selected Social Indicators. Unlike previous studies, where Social Indicators are used as proxies for the unobservable health and education status of the population, this paper estimates a latent variable model. The findings suggest that public spending is an important determinant of Social outcomes, particularly in the education sector. Overall, the latent variable approach yields better estimates of a Social production function than the traditional approach, with higher elasticities of Social Indicators with respect to income and spending, therefore providing stronger evidence that increases in public spending do have a positive impact on Social outcomes. Copyright © 2003 John Wiley & Sons, Ltd.

  • more on the effectiveness of public spending on health care and education a covariance structure model
    Social Science Research Network, 2002
    Co-Authors: Emanuele Baldacci, Maria Teresa Guinsiu, Luiz R De Mello
    Abstract:

    Using data for a sample of developing and transition countries, this paper estimates the relationship between government spending on health care and education, and Social Indicators. Unlike previous studies, where Social Indicators are used as proxies for the unobservable health and education status of the population, this paper estimates a latent variable model. The findings suggest that public Social spending is an important determinant of Social Indicators, particularly in the education sector. Overall, the latent variable approach was found to yield more adequate estimates of Social production functions, with larger elasticities of Social Indicators with respect to income and spending on education than the traditional approach, providing stronger evidence that increases in public spending have a positive impact on Social Indicators. The study also finds that the millennium goal of universal primary education enrollment by 2015 could be achieved through an increase by one-third, on average, in education spending.

Maria Teresa Guinsiu - One of the best experts on this subject based on the ideXlab platform.

  • more on the effectiveness of public spending on health care and education a covariance structure model
    Journal of International Development, 2003
    Co-Authors: Emanuele Baldacci, Maria Teresa Guinsiu, Luiz R De Mello
    Abstract:

    Using data for a sample of developing countries and transition economies, this paper estimates the relationship between government spending on health care and education and selected Social Indicators. Unlike previous studies, where Social Indicators are used as proxies for the unobservable health and education status of the population, this paper estimates a latent variable model. The findings suggest that public spending is an important determinant of Social outcomes, particularly in the education sector. Overall, the latent variable approach yields better estimates of a Social production function than the traditional approach, with higher elasticities of Social Indicators with respect to income and spending, therefore providing stronger evidence that increases in public spending do have a positive impact on Social outcomes. Copyright © 2003 John Wiley & Sons, Ltd.

  • more on the effectiveness of public spending on health care and education a covariance structure model
    Social Science Research Network, 2002
    Co-Authors: Emanuele Baldacci, Maria Teresa Guinsiu, Luiz R De Mello
    Abstract:

    Using data for a sample of developing and transition countries, this paper estimates the relationship between government spending on health care and education, and Social Indicators. Unlike previous studies, where Social Indicators are used as proxies for the unobservable health and education status of the population, this paper estimates a latent variable model. The findings suggest that public Social spending is an important determinant of Social Indicators, particularly in the education sector. Overall, the latent variable approach was found to yield more adequate estimates of Social production functions, with larger elasticities of Social Indicators with respect to income and spending on education than the traditional approach, providing stronger evidence that increases in public spending have a positive impact on Social Indicators. The study also finds that the millennium goal of universal primary education enrollment by 2015 could be achieved through an increase by one-third, on average, in education spending.

Alex C. Michalos - One of the best experts on this subject based on the ideXlab platform.

  • fifty years after the Social Indicators movement has the promise been fulfilled
    Social Indicators Research, 2018
    Co-Authors: Kenneth C Land, Alex C. Michalos
    Abstract:

    This paper reviews the origins, promise, and subsequent development of Social Indicators/quality-of-life/well-being conceptualizations and research since the 1960s. It then assesses the state of this field in the 2010s and identifies four key developments—the development of professional organizations that nurture its conceptual and empirical development; the widespread political, popular, and theoretical appeal of the quality-of-life (QOL) concept; a new era of the construction of composite or summary Social Indicators; and a recognition of the key role of the QOL concept in connecting Social Indicators to the study of subjective well-being—that have evolved over the past five decades and that are very much with us today. The final section of the paper poses the question of where the field should focus its energies. Beyond carrying on the existing research program, it argues that the field needs to recognize the substantial changes in the Social and economic organization of contemporary societies as compared to the mid-1960s launch period for the Social Indicators Movement and develop new research foci for the years to come.

  • handbook of Social Indicators and quality of life research
    2012
    Co-Authors: Kenneth C Land, Alex C. Michalos, Joseph M Sirgy
    Abstract:

    Acknowledgments.- Prologue: The Development and Evolution of Research on Social Indicators and Quality-of-Life (QOL): Kenneth C. Land, Alex C. Michalos, and M. Joseph Sirgy.- 1. The Good Life: Eight Century to Third Century BCE: Alex C. Michalos, and Steve R. Robinson.- 2. Happiness, Also Known as Life Satisfaction and Subjective Well-Being: Ruut Veenhoven.- 3. Subjective Well-Being Homeostasis: Robert A. Cummins, Anna L.D. Lau, and Melanie Davern.- 4. Positive Psychology and the Quality-of-Life: Cross Sectional and Time Series Evidence: Richard A. Easterlin, and Laura Angelescu.- 6. National Accounts of Well-Being: Ed Diener, and William Tov.- 7. Time Use as a Social Indicator: John P. Robinson, and Steve Martin.- 8. Issues in Composite Index Construction: The Measurement of Overall Quality of Life: Michael R. Hagerty, and Kenneth C. Land.- 9. Measuring the Quality of Life and the Construction of Social Indicators: Filomena Maggino, and Bruno Zumbo.- 10. Quality of Life in General Medicine, Psychiatry and Mental Health: Michael Frisch.- 11. Education and Quality of Life: Jason D. Edgerton, Lance W. Roberts, and Suzanne von Below.- 12. Review of Research to Quality-of-Work-Life (QWL) Programs: Joe Sirgy, Nora P. Reilly, Jiyun Wu, and David Efraty.- 13. Spirituality, Religion and Subjective Quality of Life: Ralph Piedmont, and Philip Freedman.- 14. Consumer Well-Being (CWB): Various Conceptualizations and Measures: Dong-Jin Lee, and M. Joseph Sirgy.- 15. Perceived Quality of Life of Children and Youth: Scott Huebner, Rich Gilman, and Claudia Ma.- 16. The Quality of Life of Adults: Elizabeth Eckermann.- 17. Cross-National Comparisons of Quality of Life in Developed Nations, Including the Impact of Globalization: Wolfgang Glatzer.- 18.Quality of Life in Developing Nations: Laura Camfield.- 19. Economies in Transition: Revisiting Challenges to Quality of Life: Richard J. Estes.- 20. Quality of Life in Australia: Robert A. Cummins, Jacqueline Woerner, Adrian Tomyn, and Adele Gibson.- 21. Quality of Life in Est Asia: The Case of Hong Kong: Daniel T.L. Shek.- 22. The Quality of Life of Muslim Populations: The Case of Algeria: Habib Tiliouine, and Mohamed Meziane.- 23. Quality of Life in Latin America and the Caribbean: Mariano Rojas.- 24. Quality of Life in Argentina: Graciela Tonon.- 25. ''Failed'' and ''Failing'' States: Is Quality of Life Possible?: Richard J. Estes.-

  • Social Indicators Research and Health-Related Quality of Life Research
    Social Indicators Research, 2004
    Co-Authors: Alex C. Michalos
    Abstract:

    The aim of this essay is to build a bridge between two intersecting areas of research, Social Indicators research on the one hand and health-related quality of life research on the other. The first substantive section of the paper introduces key concepts and definitions in the Social Indicators research tradition, e.g., Social Indicators, positive, negative, input and output Indicators, Social reports and quality of life. After that, there is a section reviewing some historical origins and motives of Social Indicators researchers, beginning roughly with Jeremy Bentham’s ‘felicific calculus’ and ending with the search for a comprehensive accounting scheme capable of measuring the quality of human existence with Social, economic and environmental Indicators.

John W Sutherland - One of the best experts on this subject based on the ideXlab platform.

  • development of Indicators for the Social dimension of sustainability in a u s business context
    Journal of Cleaner Production, 2019
    Co-Authors: Margot J Hutchins, Justin S Richter, Marisa L Henry, John W Sutherland
    Abstract:

    Abstract Businesses are being increasingly scrutinized regarding their Social impacts. In order for businesses to make decisions that support all three pillars of sustainability, i.e., the Social, environmental, and economic dimensions, tools and methods are needed that link their decisions to sustainability impacts – including societal effects. However, before such methods can be established, measures of Social sustainability are needed. Based on Maslow's hierarchy of individual needs, a novel framework for Social Indicators has been developed by evaluating the needs of Social entities with which a company interacts, e.g., employees and customers. A group of sustainability experts was surveyed using an iterative Delphi technique to converge on a suite of Social sustainability Indicators that should be addressed by a U.S. business. Statistical methods (i.e., Friedman test and t-distribution comparisons) were used to identify the “best fit” Social Indicators for the various entities with which businesses interact. The resulting Indicators can be used to evaluate Social performance for a business enterprise. As examples, some Indicators identified for the employee Social group include the percentage of employees below the cost-of-living adjusted poverty line and the percentage of employees that believe their contribution to a company is valued.

  • the role of manufacturing in affecting the Social dimension of sustainability
    CIRP Annals, 2016
    Co-Authors: John W Sutherland, Margot J Hutchins, Justin S Richter, David Dornfeld, Rachel Dzombak, Jennifer Mangold, Stefanie Robinson, Michael Zwicky Hauschild, Alexandra Bonou, Paul Schonsleben
    Abstract:

    Abstract Manufacturing affects all three dimensions of sustainability: economy, environment, and society. This paper addresses the last of these dimensions. It explores Social impacts identified by national level Social Indicators, frameworks, and principles. The effects of manufacturing on Social performance are framed for different stakeholder groups with associated Social needs. Methodology development as well as various challenges for Social life cycle assessment (S-LCA) are further examined. Efforts to integrate Social and another dimension of sustainability are considered, with attention to globalization challenges, including offshoring and reshoring. The paper concludes with a summary of key takeaways and promising directions for future work.