한국의 데이터경제 현황 및 평가: 금융, 부동산, 의료 부문을 중심으로
Data economy in Korea: Cases of finance, real estate, and medical care sectors
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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.
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.
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