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http://dx.doi.org/10.5392/JKCA.2018.18.02.216

An Analysis of the Economic Effects of Unmanned Aerial Vehicle(UAV) Industry  

Kim, Kwang-Hoon (한국과학기술정보연구원)
Won, Dong-Kyu (한국과학기술정보연구원)
Yeo, Woon-Dong (한국과학기술정보연구원)
Publication Information
The Journal of the Korea Contents Association / v.18, no.2, 2018 , pp. 216-230 More about this Journal
Abstract
In this paper, we analyze the economic ripple effects of technology related to the unmanned aerial vehicle industry by applying industry association analysis. Specifically, the effects of employment creation, value added inducement, sensitivity coefficient, and influence coefficient can be calculated, and implications for the analysis result are presented. As a result, the employment inducement effect was confirmed to be 10.017 persons per 1 billion won of investment. The value added inducement effect was much higher than the other manufacturing industry average (employment inducement coefficient: 2.285, value added inducement coefficient: 0.581) when the 1 won budget was added, resulting in 0.9771 won added value. In the unmanned aerial vehicle industry, the coefficient of sensitivity, which means the front chain effect, is 0.7870, which is lower than the manufacturing average (sensitivity coefficient 1.125), and the coefficient of influence, which means the backward chain effect, is 1.161, which is higher than the manufacturing average (influence coefficient: 1.116). Therefore, it is classified as the final demand manufacturing industry. This means that the unmanned aerial vehicle industry is an industry that is less affected by economic fluctuations and can be interpreted as an industry with a greater economic impact than other sectors. Based on these data, it can be used to establish the R&D investment direction policy of the unmanned aerospace industry.
Keywords
Unmanned Aerial Vehicle; Inter-industry Analysis; Economic Effect; KSIC; Leontief Price Model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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