Journal of Technology Innovation (기술혁신연구)

Korea Society for Innovation Managemetn & Economics (기술경영경제학회)
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Data economy in Korea: Cases of finance, real estate, and medical care sectors

한국의 데이터경제 현황 및 평가: 금융, 부동산, 의료 부문을 중심으로

  • 조만 (KDI 국제정책대학원 ) ;
  • 문성욱 (서강대학교 기술경영전문대학원 ) ;
  • 이인복 (KDI 국제정책대학원 ) ;
  • 최성윤 (서강대학교 협동과정 기술경영전공 )
  • Received : 2022.11.13
  • Accepted : 2023.01.06
  • Published : 2023.02.28
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Abstract

With the recent surge in the share of data-based economic activities, there have been vibrant discussions on the data economy. Yet, few extant works provide a framework for systematically analyzing the transition to the data economy by major industries in Korea. By reviewing the existing literature, we first summarize the main characteristics of the data economy as building platforms, the greater importance of predictive power, and the increased use of new analytics. Next, based on such understanding, we provide a comparative analysis regarding the degree of data-based activities in Korea's financial, real estate, and medical sectors. We find that the speed at which, and the content of the data economy characteristics being realized were different for the different sectors. These findings suggest that differentiated policy approaches by major industrial sectors such as finance, real estate, and medical care are needed to improve economic productivity and increase welfare through the spread of the data economy.

최근 데이터 기반 경제 활동의 비중이 급증하면서 데이터경제에 대한 논의가 활발하지만 우리나라 주요 산업별 데이터경제로의 전환을 체계적으로 분석하는 틀을 제시하는 연구는 많지 않다. 본 연구는 문헌연구를 통해 데이터경제의 주요 특징을 플랫폼(platform) 구축, 예측력(predictive power) 강화, 새로운 분석모델(new analytical model)의 활용으로 정리하고, 이에 입각하여 우리나라의 금융, 부동산, 의료 부문 간 데이터 기반 활동의 정도를 비교 분석한다. 분석 결과 금융, 부동산, 의료 부문별로 데이터경제 특징이 실현되고 있는 속도와 내용이 다르다는 것이 관찰되었다. 이는 데이터경제의 확산을 통해 경제 생산성 향상과 복지 증대를 위해서는 금융, 부동산, 의료 등 주요 산업 부문별로 차별화된 정책 접근이 필요하다는 것을 시사한다.

Keywords

Acknowledgement

본 논문은 KDI 국제정책대학원의 2021년 연구과제 결과물을 발전시킨 것으로, 저자들은 동대학원과 서강대학교 기술경영전문대학원의 지원(산업통산자원부 산업전문인력역량강화사업, P0012783)대하여 감사드립니다.

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