Regression modeling strategies for optimizing the appropriate size of reserve forces in Republic of Korea
This study focuses on the size of reserve forces and the factors affecting their size. As a result of analyzing theory and prior research, we identified the relations between standing and reserve forces. To minimize the problem of relations, we used a two-stage least squares estimate with simultane...
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| Format: | Article |
| Language: | English |
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Institute of Defense Acquisition Program
2023-09-01
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| Series: | 선진국방연구 |
| Subjects: | |
| Online Access: | https://journal.idap.re.kr/index.php/JAMS/article/view/187 |
| _version_ | 1797637875230048256 |
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| author | Hyungbo Sim |
| author_facet | Hyungbo Sim |
| author_sort | Hyungbo Sim |
| collection | DOAJ |
| description |
This study focuses on the size of reserve forces and the factors affecting their size. As a result of analyzing theory and prior research, we identified the relations between standing and reserve forces. To minimize the problem of relations, we used a two-stage least squares estimate with simultaneous equations as the analytical method used. We utilized the 2022 cross-sectional data points and analyzed the sample by dividing it into 69 countries and 38 countries with reserve forces. In 38 countries, the reserve force size derived from regression analysis was 2.2 million people, and the standing force size was 470,000 people. The empirical analysis shows that 2.2 million reserve forces solved the single-equation estimation problem caused by the two-way causal relationship between reserve force size and standing force size through simultaneous equations, which further improved the consistency of the estimated coefficients. In terms of size, it was smaller than the 2.75 million presented in Defense Reform 2.0, which seems to be due to the analysis of countries with relatively capital-intensive military structures compared with Korea. Various factors are expected to further increase the size of future reserve forces: the rapid decline in the nation’s birth population; the proportion of defense spending to the government’s budget; the reserve forces, which have been further expanded by Defense Reform 2.0; and the prospect of a reduction in standing forces expected by Defense Innovation 4.0. Therefore, the size of future appropriate reserve forces will increase further than the current appropriate level, making it necessary to determine policies related to reserve forces and develop appropriate measures for procurement.
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| first_indexed | 2024-03-11T12:54:34Z |
| format | Article |
| id | doaj.art-7eaab3fcfa7c4b6289db6bfb3a419c55 |
| institution | Directory Open Access Journal |
| issn | 2635-5531 2636-1329 |
| language | English |
| last_indexed | 2024-03-11T12:54:34Z |
| publishDate | 2023-09-01 |
| publisher | Institute of Defense Acquisition Program |
| record_format | Article |
| series | 선진국방연구 |
| spelling | doaj.art-7eaab3fcfa7c4b6289db6bfb3a419c552023-11-03T17:25:57ZengInstitute of Defense Acquisition Program선진국방연구2635-55312636-13292023-09-0162Regression modeling strategies for optimizing the appropriate size of reserve forces in Republic of KoreaHyungbo Sim0Republic of Korea Army This study focuses on the size of reserve forces and the factors affecting their size. As a result of analyzing theory and prior research, we identified the relations between standing and reserve forces. To minimize the problem of relations, we used a two-stage least squares estimate with simultaneous equations as the analytical method used. We utilized the 2022 cross-sectional data points and analyzed the sample by dividing it into 69 countries and 38 countries with reserve forces. In 38 countries, the reserve force size derived from regression analysis was 2.2 million people, and the standing force size was 470,000 people. The empirical analysis shows that 2.2 million reserve forces solved the single-equation estimation problem caused by the two-way causal relationship between reserve force size and standing force size through simultaneous equations, which further improved the consistency of the estimated coefficients. In terms of size, it was smaller than the 2.75 million presented in Defense Reform 2.0, which seems to be due to the analysis of countries with relatively capital-intensive military structures compared with Korea. Various factors are expected to further increase the size of future reserve forces: the rapid decline in the nation’s birth population; the proportion of defense spending to the government’s budget; the reserve forces, which have been further expanded by Defense Reform 2.0; and the prospect of a reduction in standing forces expected by Defense Innovation 4.0. Therefore, the size of future appropriate reserve forces will increase further than the current appropriate level, making it necessary to determine policies related to reserve forces and develop appropriate measures for procurement. https://journal.idap.re.kr/index.php/JAMS/article/view/187reserve forcesstanding forcessimultaneous equation modelmultiple regression analysistwo-stage least squares estimate method |
| spellingShingle | Hyungbo Sim Regression modeling strategies for optimizing the appropriate size of reserve forces in Republic of Korea 선진국방연구 reserve forces standing forces simultaneous equation model multiple regression analysis two-stage least squares estimate method |
| title | Regression modeling strategies for optimizing the appropriate size of reserve forces in Republic of Korea |
| title_full | Regression modeling strategies for optimizing the appropriate size of reserve forces in Republic of Korea |
| title_fullStr | Regression modeling strategies for optimizing the appropriate size of reserve forces in Republic of Korea |
| title_full_unstemmed | Regression modeling strategies for optimizing the appropriate size of reserve forces in Republic of Korea |
| title_short | Regression modeling strategies for optimizing the appropriate size of reserve forces in Republic of Korea |
| title_sort | regression modeling strategies for optimizing the appropriate size of reserve forces in republic of korea |
| topic | reserve forces standing forces simultaneous equation model multiple regression analysis two-stage least squares estimate method |
| url | https://journal.idap.re.kr/index.php/JAMS/article/view/187 |
| work_keys_str_mv | AT hyungbosim regressionmodelingstrategiesforoptimizingtheappropriatesizeofreserveforcesinrepublicofkorea |