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Information Technology Marketing Development

Information Technology Marketing Development

          
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About the Book

In the view point of economists, who disagree to take the survey results completely at face value and use the average score on life satisfaction as the indicator of quality of life for a country. There are several reasons. First, comparable results for a sufficient number of countries tend to be out -of -date and many nations are not covered at all. Second, the impact of measurement errors on assessing the relationship indicators tends to cancel out across a large number of countries. But these might still be significant errors for any given country. So, there is a bigger chance of error in assessing quality of life between countries if we take a single average life satisfaction score as opposed to a multi-component index. Finally, and most important reason, although most of the inter-country variation in the life satisfaction surveys can be explained by objective factors, there is still a significant unexplained component which, in addition to measurement error, might to related to specific factors, that we want to net out from an objective quality of life index.Instead we use the survey results as a starting point, and a means for deriving weights for the various determinants of quality of life across countries, in order to calculate an objective index. The average scores from comparable life-satisfaction surveys ( on a scale of one to ten) can be assembled for 1999 year or 2000 year in a multi-variate regression to various factors satisfaction in many studies. Together these variables explain more than 80% of the inter-country variation in life-satisfaction scores. The surveys showed the weights of the various factors, included health, material well-being, and political stability and security. These were followed by family relations and community life. Next, in order of importance were climate ( environment factor), job security, political freedom and finally gender equality. The surveys showed that the values of the life-satisfaction scores that are predicted by nine indicators represent a country's quality of life index or the corrected life-satisfaction scores, based on objective cross-country determinants. The method also means that the original units or measurement of the various indicators can be rely on the potentially distortive effect of having to transform all indicators to a common measurement also. The survey results indicate the determinents of quality of life factors, and the indicators used to represent these factors are: material wellbeing, health, political stability and security, family life, community life, climate and geography ( environment factor), job security ( unemployment rate), political freedom, gender equality. However, a number of other variables were also investigates but, upward trend in average life-satisfaction scores in developed nations, whereas average income has grown substantically. However, there is no evidence for an explanation that it has relationship between increasing incomes and stagnant life-satisfaction scores: otherwise, the idea that an increase in someone's income causes enemy or disadvantage and reduces the welfare and satisfaction of others. In the researchers' estimates the level of income inequality had no impact on levels of life satisfaction, life satisfaction is primarily determined by absolute, rather than relative, status ( related to states of mind and aspirations).⦁GDP measurement to environment economic cost


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Product Details
  • ISBN-13: 9781650645971
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 258
  • Series Title: Economy Measurement to Consumer Behaviors
  • Weight: 716 gr
  • ISBN-10: 165064597X
  • Publisher Date: 25 Dec 2019
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 17 mm
  • Width: 203 mm


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