Browse > Article
http://dx.doi.org/10.15813/kmr.2021.22.4.006

Comparison between Different Industrial GDPs to Understand the Importance of the Industry: Focusing on the Food, Medical & Drug Industry  

Kim, Sohye (Program in Converging Technology Systems and Standardization, Korea Univ.)
Kim, Jinmin (Dept. of Corporate Management, Korea Univ.)
Kim, Jaeyoung (Dept. of Corporate Management, Korea Univ.)
Kang, Byung-Goo (Dept. of Corporate Management, Korea Univ.)
Publication Information
Knowledge Management Research / v.22, no.4, 2021 , pp. 103-118 More about this Journal
Abstract
Gross Domestic Product(GDP) is affected by the economic power of each industry. Therefore, using statistical data related to the food and drug industry, we tried to determine the proportion of GDP and analyzed the impact of the food, medical & drug industry on the domestic economy through comparison with other industries. The food, medical & drug industry has a wide range of industries among domestic industries and is closely related to the lives of the people. In addition, human lifespan is increasing, and recently, due to the spread of an infectious disease called COVID-19, the bio sector belonging to the food, medical & drug industry is in the spotlight. Attention is needed to the industry as the competitiveness of the food, medical & drug industry is expected to increase. The Ministry of Food and Drug Safety provides statistics on the food, medical & drug industry, but does not provide a systematic share of GDP. Since it is difficult to determine how influential the industry is compared to other industries, this study attempts to obtain the share of GDP in the food, medical & drug industry and compare it with other industries. In the process of obtaining GDP in the food, medical & drug industry sector, there was a difficulty in that the figures in statistical data were not unified by time point. In order to overcome the limitations, statistical data as a standard are determined. The GDP of the Food, Medical & Drug Industry was estimated using total added value, production, sales, and added value by industry. Compared to other industries, the Food, Medical & Drug Industry's GDP ranked second after the GDP of the manufacturing industry. As a result, it suggests that the food, medical & drug industry has a great influence on the national economic power among domestic industries.
Keywords
GDP; MFDS(Ministry of Food and Drug Safety); GDP Industry Standards; Knowledge management;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 통계청. 시도_산업분류별_출하액_생산액_부가가치_및_주요생산비_10명_이상.
2 통계청. 경제활동별_국내총부가가치와_요소소득_명목_연간.
3 식품의약품안전처 (2019). 2019년 산업동향통계.
4 Grytten, O. H. (2015). Norwegian gross domestic product by industry 1830-1930. Working Papers, Norges Bank, 19, 1-39.
5 Hossain, A,. Hossen, M., Hasan, M. M., & Sattar, A. (2021). GDP growth prediction of bangladesh using machine learning algorithm. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks(ICICV), 812-817.
6 김병준, 정욱영 (2020). OECD 주요국 연기금 자산수요에 대한 영향요인 분석. 생산성논집(구 생산성연구), 34(3), 283-308.
7 강창구 (2012). Business/economics: A study of a combining model to estimate quarterly GDP. 응용통계연구, 25(4), 553-561.
8 구병관, 이선규 (2012). 공공분야의 지식관리 시스템 도입요인과 보상요인이 성과에 미치는 영향. 한국콘텐츠학회논문지, 12(10), 418-429.   DOI
9 권순재, 이건창 (2009). 관광산업에서의 지식경영활동과 지식경영효율성 향상에 관한 실증연구. 지식경영연구, 10(3), 1-16.
10 박민혁, 노건기, 이승은 (2016). 한국의 산업별 전력소비와 경제성장간 인과관계 분석. 조명.전기설비학회논문지, 30(3), 39-45.
11 심형섭, 민금영, 정덕훈 (2009). 공공기관에서의 지식경영성공요인이 지식경영프로세스에 미치는 영향. 한국경영정보학회 학술대회, 258-262.
12 장우권 (2002). 공공도서관 지식경영모형에 관한 연구. 한국도서관.정보학회지, 33(4), 209-240.
13 전민경 (2021). 무형자산이 국내총생산(GDP)에 미치는 영향. 글로벌경영학회지, 18(4), 78-92.
14 정재원, 김태황 (2019). 브렉시트가 한국 경제에 미치는 영향: GDP 및 산업별 국제 경쟁력 효과를 중심으로. EU학 연구, 24(1), 183-207.
15 Kuznets, S. (1934). National income, 1929-1932. 73rd US Congress 2nd Session, Senate Document, No.124, 5-7.
16 산업통계분석시스템(ISTANS). https://istans.or.kr
17 한국은행. 국민계정.
18 한국은행. 산업연관표.
19 한국은행경제통계시스템. ecos.bik.or.kr
20 Kvasha, S., Davydenko, N., Pasichnyk, Y., Viatkina, T., & Wasilewska, N. (2018). GDP modelling: Assessment of methodologies and peculiarities of its usage in Ukraine. Problems and Perspectives in Management, 16(4), 186-200.   DOI
21 통계청, KOSIS 국가통계포털. http://kosis.kr
22 통계청. 광업_제조업산업세세분류별_출하액__생산액__부가가치_및_주요생산비_10인_이상.
23 통계청. 소득총괄표.
24 통계청. 시도_산업별_연간급여액.
25 통계청. 시도_산업별_총괄.
26 통계청. 시도_산업분류별_사업체수_종사자수_및_급여액_10인_이상.
27 통계청. 시도_시군구_산업분류별_주요지표_10명_이상.
28 통계청. 시도별_산업별_부가가치.
29 통계청. 시도별_산업별_종사상지위별_종사자수__급여액.
30 한국은행 (2020). 우리나라의 국민계정체계.
31 신용재, 이동현 (2016). 디지털 문화 콘텐츠 산업이 지식경제사회에 미치는 파급효과 분석. 지식경영연구, 17(1), 73-88.
32 정성훈 (2014). FTA가 공간정보산업의 국외진출에 미치는 경제적 효과 분석. 생산성논집(구 생산성연구), 28(2), 295-313.
33 통계청. 시도_산업_종사자규모별_현황.
34 김병수, 허용석, 한인구, 이희석 (2010). 지식 경영 활동의 혁신 역량으로의 연계: IT 서비스 산업 중심으로. 지식경영연구, 11(1), 97-113.