Abstract

Gross National Product is the key to reflecting whether a country is strong or not, so many people are very concerned about what conditions GDP is based on. This is also a matter of national concern, so it is possible to know which factors contribute to a country's GDP, and thus the country can judge whether to strengthen these factors. This study focuses on the impact of country size and population on national GDP, so this experiment uses the OLS framework to predict the impact of country size and population on ITS GDP. At the same time, the impact of country size and population on GDP is obtained by recording and calculating. The impact of different factors on GDP is observed by comparison. China adopts the completely random sampling method to select 60 countries from all over the world for investigation and analysis, without personal factors, which can better ensure the accuracy of the results and thus reduce the error. When choosing countries, small countries or countries with small populations are always on the waiting list, ready to be chosen randomly. Through this experiment, we know that population has a more significant effect on the GDP of a country than the size of the country. Of course, this does not mean that the size of the country does not matter. Since the population is a necessary component of our traditional measurement and calculation of GDP, this experiment also proves that the impact of population on GDP is indispensable.

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