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Sustainable Socio-Economic Development in Switzerland: 1990-2007 Analysis

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destiny-wilcox
14 diapositives · 303 Views · Nov 03, 2014

This study examines the socio-economic development of Switzerland from 1990 to 2007, analyzing the hypothesis that sustainable improvements occurred between the periods of 1990-1999 and 2000-2007. Utilizing data from the Swiss Socio-Economic Database, the report evaluates key indicators, including GDP per capita, life expectancy, and environmental measures. The analysis employs statistical techniques such as regression and correlation to assess relationships and significance in socio-economic trends, further concluding that significant progress in sustainability has been achieved. Future research directions are suggested.

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  1. Quantitative Methods in Social Sciences (E774) Swiss Sustainable Socio-Economic Development 1990 – 2007 Liam T. Foran Cristian Terry Maria Stoll 4 December 2009

  2. Swiss Socio-Economic Development 1990 - 2007 • Hypothesis; There is sustainable improvement over the two periods 1990 - 1999 & 2000 - 2007. • Data Set; Swiss Socio-Economic Data ‘09 • Validity of Data; Collection? • Reliability; Missing Obs & Too few observations • Indicators; Human Development Index & Sustainability Measures QM_MDEV_E774(2009)

  3. Swiss Sustainabale Socio-Economic Development Indicators • i) Economic; Income (GDP per capita) and unemployment • ii) Social ; Health Services, Life expectancy, Infant Mortality and Human Resources • iii) Environment; GDP per unit of energy use, CO2 emissions and Trend in breeding bird populations in Switzerland. QM_MDEV_E774(2009)

  4. Rich Already and Getting Richer QM_MDEV_E774(2009)

  5. Living longer and less babies dying QM_MDEV_E774(2009)

  6. Greening QM_MDEV_E774(2009)

  7. Statistical techniques • Describing center; Mean • Describing variability; std dev. • Two sample test; independent student test • Correlation; Pearson co-efficient, scatter plot, Strength of Relationship • Regression; We used Ordinary Least Squares” (OLS) which is based on the Best Linear Unbiased Estimator (BLUE): for Direction of Relationship QM_MDEV_E774(2009)

  8. Comparing Means QM_MDEV_E774(2009)

  9. Testing our Hypothesis for Significance • Income , life expectancy  knowledge  and biodiversity  GDP per unit of energy use  significant • Child mortality  C02 emissions  GDP per unit of energy use significant • Unemployment  not significant QM_MDEV_E774(2009)

  10. Correlation: Income and Indicators Significant Correlation in Second Period, and over total period QM_MDEV_E774(2009)

  11. Simple Regression with Income QM_MDEV_E774(2009)

  12. Multiple Regression with Life Exp. Note, collinearity problem between life exp and infant mort. Errors in Models. Outliers, homoscedascity. QM_MDEV_E774(2009)

  13. Conclusions • Our Results, there has been a significant sustainable socio-economic development over two periods. • What’s new about your approach? Including sustainability measures with HDI to asses longevity of socio-economic development. • GDP alone is not a universal salve. QM_MDEV_E774(2009)

  14. Future work • Improving Regression Models • Great to look at the numbers but what about external factors (financial crisis), technology increases, policies, eating habits, disease, consumption habits, natural phenomena • Identifying the possible areas of future research, The link between carbon intensity of production, where does the energy come from etc. • Bigger Data Set, get out there and collect. QM_MDEV_E774(2009)