The Realization of Population Zero

Abstract

Abstract:This study is about setting a policy model including the factors of income, education and equality to result in a set of policy recommendations which would be implemented to the Population Zero. The mission of Population Zero is to create a sustainable society by maximizing both economic output and happiness in the work place for its citizens. Our policy recommendations contain these aspects: influence factors of GDP and happiness.[1] We established a Linear programming model so as to find the best result of the double guided balance. Firstly, we set the GDP Regression function including the factors of income, the labor force population invested in GDP growth, the temporal welfare of the population, the individual characteristics of the labor force, the education-related infrastructure invested in GDP growth and the total amount of current assets used to raise the skill level of the population. At the same time, we set the happiness Regression function including the factors of GDP, Gini coefficient, social welfare, income, individual characteristic. And we use the Z-score method to normalize the data, the dual objective function criterion is transformed into a single objective function, so the objective function of GDP and happiness double objective equilibrium could be established next, and define it as GDP-Happiness Mission index. We can use this index to reflect the degree of completion of Population Zero.