변호사검색상담 플랫폼의 경제적 가치 추정
Estimating the Economic Value of the Online Marketplace for Legal Services
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
본 연구에서는 국내 소비자들을 대상으로 변호사가 제공하는 법률서비스 이용현황을 살펴보고 변호사 검색 및 상담을 용이하게 하는플랫폼이 소비자들의 효용을 얼마나 증가시킬 수 있고, 또 이를 통해 변호사 법률서비스 시장이 얼마나 확대될 수 있는지를 실증적으로 살펴보고자 한다. 이를 위해 본 연구는 컨조인트 설문으로 수집한 자료에 이산선택 수요모형을 적용해 소비자가 인식하는 변호사검색상담 플랫폼의 가치를 산정하고 시뮬레이션 방법으로 플랫폼의변호사 법률서비스 시장확대 효과를 추정한다. 분석 결과, 소비자가 지인으로부터 변호사를 소개받거나 오프라인에서 직접 변호사를찾는 것 대신 플랫폼을 이용해 변호사를 찾고 상담받는 것에 대해부여하는 상대적 가치는 약 70,414원으로 추정되었다. 변호사검색상담 플랫폼의 존재로 인해 변호사 법률서비스 시장의 규모가 적게는 18.9%에서 많게는 70.2%까지 증가할 수 있을 것으로 나타났는데, 특히 플랫폼은 법률서비스 이용 취약계층의 서비스 접근성을 상대적으로 더 높여 이용을 증대시킬 것으로 예측된다.
Abstract
This study examines the usage status of legal services provided by lawyers targeting domestic consumers and investigates empirically how much online platforms that facilitate lawyer search and consultation can increase consumers' utility, and how much the lawyer legal service market will expand through this. To this end, this study applies a discrete choice demand model to the data collected through a conjoint survey to estimate the value of the lawyer search and consultation platform perceived by consumers, and estimates the effectiveness of the platform in expanding the market for lawyer legal services through a simulation method. As a result of the analysis, the relative value that consumers place on finding and consulting a lawyer using the online platform instead of being introduced to a lawyer by an acquaintance or searching for a lawyer offline is estimated to be about 70,414 won. It was found that the existence of lawyer search and consultation platforms could increase the market size of legal services by as little as 18.9% to as much as 70.2%. In particular, the platforms are expected to increase the accessibility of legal services to vulnerable groups.
참고문헌 (28)
- 과학기술정보통신부, "2021 O2O 서비스산업 시장 조사 결과보고서", ~ (2021)
- "형사소송 1심 재판 45%는 변호사 없는 ‘나홀로소송’", 리걸타임즈, ~ (2022)
- 디지털 플랫폼을 통한 혁신선도 및 사회가치 창출 방안 연구, "정보통신정책연구원", ~ (2022)
- Balafoutas, L., "Credence goods in the literature: What the past fifteen years have taught us about fraud, incentives, and the role of institutions", Journal of Behavioral and Experimental Finance, 26, pp.100285~ (2020)
- Ben-Akiva, M., "Foundations of stated preference elicitation: Consumer behavior and choice-based conjoint analysis", Foundations and Trends® in Econometrics, 10(1-2), pp.1~144 (2019)
- Bindra, P. C., "On the value of second opinions: A credence goods field experiment", Economics Letters, 205, pp.109925~ (2021)
- Choe, L., "How many ‘clicks’ does it take? : Finding price information on New Zealand lawyers' websites", Victoria University of Wellington Law Review, 52(3), pp.487~505 (2021)
- Welcome to the (digital) jungle: Measuring online platform diffusion, "Costa, H.", OECD Publishing, ~, pp.OECD Economics Department Working Papers, No. 1683 (2021)
- Dulleck, U., "The economics of credence goods : An experiment on the role of liability, verifiability, reputation, and competition", American Economic Review, 101(2), pp.526~555 (2011)
- "Gartner Predicts Legal Technology Budgets Will Increase Threefold by 2025", Gartner, ~ (2021)
- Hensher, D. A., "The mixed logit model: the state of practice", Transportation, 30, pp.133~176 (2003)
- Hole, A. R., "Fitting mixed logit models by using maximum simulated likelihood", The stata journal, 7(3), pp.388~401 (2007)
- Hole, A. R., "A comparison of approaches to estimating confidence intervals for willingness to pay measures", Health economics, 16(8), pp.827~840 (2007)
- Hole, A. R., "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment", Empirical Economics, 42(2), pp.445~469 (2012)
- A welfare analysis of occupational licensing in US states, "Kleiner, M. M.", National Bureau of Economic Research, ~, pp.No. w26383 (2019)
- Kerschbamer, R., "The economics of credence goods–a survey of recent lab and field experiments", CESifo Economic Studies, 63(1), pp.1~23 (2017)
- "How COVID-19 has pushed companies over the technology tipping point and transformed business forever" (2020)[URL]
- Meijer, E., "Measuring welfare effects in models with random coefficients", Journal of Applied Econometrics, 21(2), pp.227~244 (2006)
- Nasdaq, "Legal Technology: Why the Legal Tech Boom is Just Getting Started", ~ (2021)
- OECD, "An Introduction to Online Platforms and their Role in the Digital Transformation" (2019), OECD Publishing
- OECD, "OECD Digital Economy Outlook 2020" (2020), OECD Publishing
- Revelt, D., "Mixed logit with repeated choices : households’ choices of appliance efficiency level", Review of economics and statistics, 80(4), pp.647~657 (1998)
- Schneider, H. S., "Agency problems and reputation in expert services: Evidence from auto repair", The Journal of Industrial Economics, 60(3), pp.406~433 (2012)
- "Legal tech market revenue worldwide from 2021 to 2027"[URL]
- "Legal Tech – Key Statistics"[URL]
- Train, K., "Applications of simulation methods in environmental and resource economics" (2005), Springer
- Train, K. E., "Discrete choice methods with simulation" (2009), Cambridge university press
- Vu, K., "ICT as a driver of economic growth: A survey of the literature and directions for future research", Telecommunication Policy, 44(2) (2020)