Sustainability
Socio-economic equality is the incident or condition in which people in a given nation are treated without discrimination in matters of social life and economic status. It is determined greatly by the human development index (HDI). The HDI is derived from or directly linked to the life expectancy of people and the gross national income of the county’s population. Moreover, life expectancy also influences the HDI rank of a nation, as productivity per person can be used to monitor development over time (Cai et al., 2017).
This paper seeks to categorize Bangladesh, Niger, India, and Sweden concerning their socio-economic equality data. The grouping is justified by the age of first marriage of female persons, gender inequality index (GII), gross domestic product (GDP) per month and human development index (HDI).
Sweden exhibited gender inequality index (GII) of 0.090 which is an indication of partiality in terms of income-generating businesses, empowerment of women and reproductive health. However, the age first marriage in Sweden averages 33.5 years, which implies good reproductive health and the empowerment of women in the country (Jalil & Kamaruddin, 2018). Consequently, these results to high life expectancy and good education for women as they are not deprived of chances just as men leading to a good HDI position of 7 and high GDP of $54,112.
Niger and Bangladesh, on the other hand, exhibits nearly the same attributes concerning socio-economic equality. The two nations have female first marriages averaging at 15.7 and 16 years respectively. The implication is that women are deprived of education to the high profiling levels of the profession, thus reflecting on their high GII of 0.801 and 0.710.
Following low GDP as per the year 2016, it is clear that Niger and Bangladesh are very low in productivity and that is justified by HDI ranks of being at the bottom of countries’ list in their region (Jalil & Kamaruddin, 2018). It can be derived that the socio-economic status of the two nations is poor as the data predicts gender inequality and poor empowerment of women.
India displays an average level of socio-economic equality whereby women are committed to family affairs after or when nearly completing their education life. As a result of their GII and HDI almost level at the same value, an implication that the factors influencing them like education, life expectancy, and women empowerment are taken into consideration (Jalil & Kamaruddin, 2018). However, marriage at 22 years lower their GDP since the population committed to human development is small but young people are many due to high birth rates.
Matching Countries with Economic Growth Indicators
Economic development is a state of progress in the accumulation of finance and the production of resources for human sustainability and good health. Achieving sustainable development requires putting efforts in promoting the well-being of people in a nation. Thus, their productivity reflects on the national human development index (HDI) and gross domestic product (GDP) per annum. Consequently, the high life expectancy and social factors such as fertility rates of a country reflect on the expected level following economic development (Cai et al., 2017). Herein, the countries are matched by the indicators of their economic development.
Economic development influences the life expectancy of people in a given nation. When productivity is high, the average lifespan of an individual increase. However, achieving economic development requires the commitment of people, and extra engagement in businesses generating income reduces the fertility rate.
Thus, the life expectancy of people in Niger reflects low due to poor economic production which cannot sustain the high reproduction birth rate predicted by their fertility rate (Jalil & Kamaruddin, 2018). Conversely, high productivity in businesses generating income together with low birth rates escalates life expectancy as reflected in the indicators of South Korea, the United States, and Sri Lanka.
References
Cai, J., Coyte, P. C., & & Zhao, H. (2017). Determinants of and socio-economic disparities in self-rated health in China. International Journal for Equity in Health, 16(1), 7.
Jalil, S. A., & Kamaruddin, M. N. (2018). Examining the relationship between human development index and socio-economic variables: A panel data analysis. Journal of International Business, Economics and Entrepreneurship, 3(2), 37-44.