Why Korea was split
Introduction.
We will address in detail why Korea was split into two sections in this study, namely South and North Korea. Korea surrendered to the Cold War at the time the Japanese domain was disassembled after World War Two ended. This was divided into two successful attainments along the 38th parallel. South of the line was dominated by the Americans-the Russians implemented a communist scheme in the north, eventually surrendering influence to China.
Research Question.
“Why Korea got divided into two parts; South Korea and North Korea”.
Research Design.
Data was collected from a secondary source. (CIA World Factbook)
https://www.theguardian.com/world/datablog/2013/apr/08/south-korea-v-north-korea-compared
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Hypothesis.
: There is no positive relationship between the economy in North Korea and that of South Korea.
: There is no economic impact that resulted from splitting of Korea into two; North and South Korea.
Variables.
Dependent variable.
Economy- The economy is what helps us to thrive and prosper. The economy is likewise a system in which no cash is included and trading is conducted as an immediate commodity transaction. Getting enough is vital to health, low rates of crime and financial, rational and creative development.
Independent variables.
Urban Population– Urbanization influences the physical condition through the effects on assets of the number of individuals, their exercises and extended requests. Urbanization has negative effects on well-being due to contamination and stuffed everyday environments for the most part. Often, it can flexibly squeeze food structure (Clément).
GDP- real growth rate- Growth rate (GDP) is a measure of how fast the economy is developing. It does this by contrasting the fourth of the nation’s GDP to the last quarter. The gross domestic product is a measure of the country’s financial output. The growth rate of GDP is driven by four segments of GDP.
GDP-per capita– The per capita gross domestic product is a significant measure of economic success and a valuable metric for making cross-country correlations of common expectations for everyday comfort and economic prosperity. Specifically, GDP per capita is not considered to be a nation’s payment appropriation.
Life expectancy- The instrumented increases in life expectancy have a significant effect on the population; a 1% rise in life expectancy contributes to a rise of around 1.5 per cent in the population. There is no evidence, therefore, that the huge exogenous increase in life expectancy caused a huge increase in monetary growth per capita (Lee).
Exports-Exports form part of total demand(TD). Increasing exports will help increase AD and increase financial development. Export growth may also have a thump on the effect on associated businesses in the administration. Therefore, a decline in exports may have a significant negative impact on the Korean economy during a worldwide monetary downturn.
Imports- Exports initially boost financial yields, as calculated by GDP. They make employments and make compensation increases. Third, nations with high rates of imports have to extend their savings from remote capital. That is the way they pay for the importations. That can influence the cost of household income, expansion, and lending (Delury).
Analysis
To check our hypothesis, we used the linear regression model. The reason we used this model was that it helped us to evaluate the relationship between the dependent variable and the independent one. We have arrived with the following findings after analysis;
Regression output
Summary Output | ||||||||
1 | 2614468 | 2614468 | 1389.499 | 3.09E-06 | ||||
4 | 7526.364 | 1881.591 | ||||||
5 | 2621995 | |||||||
14.38708 | 19.54981 | 0.735919 | 0.502604 | -39.8919 | 68.66606 | |||
0.055078 | 0.001478 | 37.27598 | 3.09E-06 | 0.050976 | 0.059181 | |||
0.004569 | 0.126789 | 21.34645 | 2.09E-05 | 0.002464 | 0.125489 |
Interpretation of findings.
From the finding, we were able to obtain the regression model
Our intercept coefficient for North and South Korea is 14.39 with an Independent Variable coefficient of 0.055 and 0.005 respectively.
At significance point, our P-value which is 0.5 is greater than 0.1. From the above results, we can conclude that there is sufficient evidence that North Korea ‘s economy has a positive relationship with South Korea’s. Moreover, there is ample evidence of their economic effect resulting from Korea’s break in two; North and South Korea.
Work Cite.
Clément, Théo. “From Failed Economic Interfaces to Political Levers: Assessing China-South Korea Competition and Cooperation Scenarios on North Korean Special Economic Zones.” Korea Economic Institute of America, Academic Paper Series 106 (2019).
Delury, John. “Trump and North Korea: Reviving the art of the deal.” Foreign Aff. 96 (2017): 46.
Lee, Jaejoong, and Yongseok Seo. “Alternative futures for North Korea economy: From the North Korean perspectives.” Futures 114 (2019): 102455.