국립 부경대학교

부동산 문제, 경영경제이론·AI 융합연구로 해결책 찾는다
- 부경대 안세륭 교수, 인문사회 대형 국책과제 선정 … 연구비 약 4억 원

부동산 가격의 불균형 문제의 원인과 해결책을 찾기 위해 경영경제이론은 물론, 머신러닝 데이터 분석 등 인공지능기법을 활용한 융합연구가 추진돼 관심을 끈다.

국립부경대학교 안세륭 교수(경영학부) 연구팀은 한국연구재단의 인문사회 공동연구과제에 선정돼 ‘부동산 시장과 가계 자산 불균형 분석: 융합 접근법을 중심으로’ 연구를 추진한다고 9월 15일 밝혔다.

연구책임자인 안 교수를 비롯, 영남대 김형준(경영학과), 성균관대 류두진(경제학과), 울산대 석상익(경영학부), 한동대 홍정의(경영경제학부) 교수 등 공동연구팀은 2024년 6월까지 3년간 약 4억 원의 연구비를 지원받아 연구를 수행한다. 인문사회 분야 연구과제로서는 드물게 큰 지원 규모다.

이번 공동연구과제의 목표는 △주택금융의 접근성 문제와 부의 불균형 △세대 간 부의 격차 심화 △부동산 시장을 통한 지역 간 불균형 문제의 원인과 해결책을 도출하는 것이다.

특히 경영과 경제 분야 이론은 물론, 데이터 크롤링이나 에이전트 기반 시뮬레이션 등 머신러닝 데이터 분석 기법을 활용해 체계적 실증모형을 구축하는 등 기존에 시도되지 않았던 방식으로 연구에 나설 계획이다.

이를 위해 경영, 경제 계열 전공을 비롯해 응용경제, 수학, 컴퓨터, 전자공학 등을 전공한 3~40대 신진교수들이 주축이 돼 인공지능에 기반을 둔 재무금융 분야 융합연구를 통합적으로 수행한다.

연구팀은 이번 연구로 경제발전 과정에서 주택 및 자산 격차가 발생하는 원인과 국가별 정책 비교를 통한 대처 방안을 제시하는 것을 비롯, 주택？금융 정책의 효과를 진단해 소외계층 배려 방안을 찾고, 부동산 정책 및 투자 의사결정에 활용할 수 있는 해외 정책사례의 비교분석자료를 제공할 수 있을 것으로 기대하고 있다.

연구책임자인 안 교수는 “국내 주택정책에 대한 시뮬레이션을 통해 여러 주택정책의 효과를 정량적으로 추정하고 정책적 제언을 도출하는 등 지속적으로 화두가 되고 있는 부동산 시장과 가계 자산시장에 대한 의미 있는 연구결과를 제시할 것으로 기대한다.”라고 밝혔다. <부경투데이>

Finding solutions to real estate problems through business economic theory & AI fusion research

- Prof. Ahn Se-Ryoong at PKNU, selected for a large-scale national project in the humanities and society … Approx. 400 million won Research funds

To find the cause and solution of the imbalance in real estate prices, fusion research using artificial intelligence techniques such as machine learning data analysis as well as business economic theory is being promoted nationally, attracting public attention.

A research team led by Professor Ahn Se-Ryoong of Pukyong National University (Business Administration) announced on September 15th that the research team would be selected as a joint research project for the Humanities and Social Sciences of the National Research Foundation of Korea (NRF) to conduct research titled 'Analysis of the real estate market and household wealth imbalance: Focusing on the convergence approach'

The joint research team, including Professor Ahn, who is in charge of this study, Kim Hyeong-Jun (Dept. of Business Administration) from Yeungnam University, Ryu Du-Jin (Dept. of Economics) from Sungkyunkwan University, Seok Sang-Ik (Dept. of Business Administration) from the University of Ulsan, and Hong Jeong-Eui (School of Management and Economics) of Handong Global University, will carry out the research with a research grant of 400 million won approximately for three years by June 2024. This grant is a rare and large amount for a research project in the humanities and social sciences.

The goal of this joint research project is to derive the causes and solutions of problems related to △access to housing finance, disparities in wealth, △deepening disparities between generations, and △disparities between regions through the real estate market.

In particular, the team plans to conduct research in a way that has never been attempted before, systematic, and empirical models using machine learning data analysis techniques such as data crawling and agent-based simulation, as well as theories in management and economics.

For this, young professors in their 30~40s who majored in applied economics, mathematics, computers, and electronic engineering, as well as majors in business and economics, are the key members to conduct fusion research in the financial and banking field based on artificial intelligence. will perform

Through this research, the research team is looking forward to finding ways to consider the underprivileged by diagnosing the effects of housing and financial policies, including suggesting the causes of the housing and asset gap in the process of economic development and countermeasures by comparing national policies. In addition, they expect that this will provide comparative analysis data of overseas policy cases that can be used for real estate policy and investment decision-making.

Professor Ahn, who oversees the research, said, "Through simulation of domestic housing policy, I am expecting that this research will present meaningful results on the real estate market and household asset market, which are continuously being talked about as a result of quantitatively estimating the effects of various housing policies and deriving policy recommendations." <Pukyong Today>