This study attempts to analyze the economic impact of the service robot industry using Input-Output analysis, which is conducted based on Demand-driven model, the Leontief price model, the Backward and Forward Linkage Effects, and the Exogenous Methods. In a Demand-driven model analysis, we can conclude that the service robot industry contains characteristics of both the manufacturing industry and the service industry, which causes a positive impact on the overall industry by compensating for the weaknesses of the two industries. The Leontief price analysis indicates when wages in the service robot industry increase, prices related to robot manufacturing also increase. Also, when profits in the service robot industry increase, prices related to service provision increase, too. The Backward and Forward Linkage Effects analysis shows that the service robot industry is highly sensitive to the current economic condition and has a great influence on the service industry. The service robot industry can highlight the aspect of service characteristics when the manufacturing industry is in recession and vice versa. In addition, the service robot industry can be regarded as a value-adding and domestic economy promoting industry which utilizes knowledge of information and communication technologies. It is important to foster the service robot industry in South Korea, which is in economic recession to provide an opportunity to stimulate the growth of both service and robot industries.

1. 서 론
2. 선행연구
3. 연구방법
    3.1 서비스 로봇산업 재분류
    3.2 수요유도형 모형
    3.3 레온티에프 가격모형
    3.4 전후방연쇄효과 분석
    3.5 혼합 산업연관(외생화) 모형
4. 분석결과
    4.1 수요유도형 모형
    4.2 레온티에프 가격모형
    4.3 전후방연쇄효과
    4.4 혼합 산업연관모형
5. 결 론
References

• Seong-eun Ryu(한양대학교 공학대학원 기계·플랜트공학과) | 류성은
• In-Jae Jeong(한양대학교 산업공학과) | 정인재 Corresponding Author