CAJ | 학술논문

本文建立径向基神经网络（Radical Basis Function Neural Network—RBFNN）逼近微观经济学理论的DUST价格函数，分析了物业税开征对于上海住房价格的影响效应。实证结果显示，流通环节的税收改革对房价产生的是持久的正向冲击，保有环节的税收改革对房价产生的是短期的负向冲击。在基于实验结论的基础上，给出了相应的经济学分析，并提出了相应的政策建议。
본문건립경향기신경망락（Radical Basis Function Neural Network—RBFNN）핍근미관경제학이론적DUST개격함수，분석료물업세개정대우상해주방개격적영향효응。실증결과현시，류통배절적세수개혁대방개산생적시지구적정향충격，보유배절적세수개혁대방개산생적시단기적부향충격。재기우실험결론적기출상，급출료상응적경제학분석，병제출료상응적정책건의。
A Radial Basis Function Neural Network（RBFNN） is established in this paper to approximate DUST price model of microeconomics. The effects of levy property tax on housing prices were analyzed. The results showed that the tax in circulated links made a long-term positive impact on the housing prices, while the tax in retained links made a short-term negative impact. Then the author gave an economic analysis and some policy suggestions for the experiment results.