کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6874376 1441160 2018 43 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An agent-based model for investigating the impact of distorted supply-demand information on China's resale housing market
ترجمه فارسی عنوان
یک مدل مبتنی بر عامل برای بررسی تاثیر اطلاعات تقاضای تقاضا در بازار مسکن مجدد چین
کلمات کلیدی
مدل سازی مبتنی بر عامل، بازاریابی بازار مسکن، اطلاعات تحریف شده، دلال،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی
Trading participators suffer from information disadvantage in China's resale housing market, where brokers are able to distort supply-demand information and thus mislead their clients in price negotiation. In this paper, we propose an agent-based resale model to examine how brokers' distorted market information affects the market performances. Experimental results show that brokers are truly able to influence market trade count, resale price per size, and the benefits and costs of buyers and sellers. We find that no matter what the actual market condition is, assisting sellers is always the dominating policy for rational brokers. We also find that both buyers and sellers are likely to gain more surplus from transactions if they sign an “Exclusive Right To Buy/Sell” agreement with the broker, but the sellers are less bothered by the increased trade time. Coupled with these findings, managerial implications are discussed for China's resale housing market.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Science - Volume 25, March 2018, Pages 1-15
نویسندگان
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