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All Journal International Journal of Humanities Education and Social Sciences
Rizqiah, Khairul
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Humanities Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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The Impact of the Arms Race on the Economic Growth of the United States and Russia Sambas, Maimunah; Saputro, Guntur Eko; Hermanto, Djamarel; Rizqiah, Khairul
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 3 No 6 (2024): IJHESS JUNE 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v3i6.965

Abstract

The arms race between the United States and the Soviet Union (Russia) during the Cold War had a significant impact on the economic growth of both superpowers. This study examines how the allocation of vast resources for military purposes and threats affected other sectors of the economy. By analyzing historical data on military spending, industrial production, investment, and GDP. The research found that the arms race puts huge pressure on the state budget and creates a trade-off between military spending and investment in productive sectors, which ultimately hampers long-term economic growth in both countries. This study uses secondary data such as journal books, reports from Publish or Perish, Google Scholar, related and relevant websites regarding the arms race and its impact on economic growth through the library research method. The data collection technique used is data triangulation. The purpose of this research is to analyze the impact of the arms race between the US and Russia on the economic growth of both countries. Therefore, it is expected to provide insight and reference for the government in formulating policies regarding the arms race carried out by other countries. The results of this study found the negative impact of the arms race and the importance of placing resources wisely for sustainable economic growth. The impact of the United States and Russia's arms race can hamper long-term economic growth and welfare levels in both countries. Therefore, diplomacy of international cooperation and de-escalation of tensions are necessary to avoid an arms race due to uncontrolled increase in military spending
The Effect of Gross Domestic Product, Government Military Expenditure on Foreign Investment in ASEAN Countries Rizqiah, Khairul; Julianus Pardede, Simon; Eko Saputro, Guntur; Iswati, Sri; Suwito Suwito
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 4 No 5 (2025): IJHESS APRIL 2025
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v4i5.1486

Abstract

The purpose of this study is to see the impact of Gross Domestic Product, Military Expenditure on Foreign Direct Investment in ASEAN countries. The results of this study show that GDP has a negative influence on foreign investment and the increase or decrease of Milex significantly affects foreign direct investment according to the political stability in each country. In some countries, it is said that increasing Milex does not necessarily make a country safer. An increase in Milex can occur when conflicts in a country or region increase and as a result investor confidence decreases. Whereas in other countries with higher political stability, descriptive statistics of military spending are used in this study and the data used in this study are from SIPRI, Word Bank, and data from the financial statements of ASEAN countries. Before the analysis, the constant value is, meaning that if the independent variable Milex is equal to zero, then the dependent variable (Foreign Investment) will have a value of 10.58533. The regression coefficient value of GDP (X1) is -0.180875 and Milex (X2) is 0.541519 and has a positive sign which means that if Milex increases by 1 unit, the dependent variable, namely Foreign Direct Investment, will also increase by 0.180875 and vice versa. it shows that the Jarque-Bera value is 67.16348 with a probability of 0.00000. The output result of the Adjusted R-Square value is 0.872961, or 87.29%.
Co-Authors Guntur Eko Saputro Hermanto, Djamarel Julianus Pardede, Simon Sambas, Maimunah Sri Iswati SUWITO SUWITO