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作 者:张晛[1]
机构地区:[1]华中科技大学土地管理系,湖北武汉430074
出 处:《中国房地产(学术版)》2014年第5期33-40,共8页China Real Estate
摘 要:以上海市为研究区域,构建包含驱动力、状态、响应指标的DFSR模型来分析房地产税收政策对房价响应的评价体系,其中利用主成份分析法确定驱动力指标综合得分,再根据量化的各项指标,明确房地产税收政策在房价影响中的地位。研究结果表明,房地产税收政策的调整呈明显的周期性变化,在政策调控力度强的情况下,政策对房价的影响是非常明显的。同时房地产税收政策调控具有时滞性,政策的调控力度与房价的变化并不完全同步。最后提出相应的改革措施,为优化房地产税收政策提供建议与参考。The paper is focused on Shanghai, and the Driving Force-State-Response (DFSR) model is used to build up an evaluation system of the real estate taxes policy. Then we used principal component analysis method to get the score of driving force indicator. Based on the quantitative indicators, we clearly know that real estate taxes policy has an effect on housing price. At last, we find that the adjustment of real estate taxes policy is really cyclical. The strength of adjustment policy plays an important role in controlling housing price. In addition, the adjustment policy has some hysteretic effects. The strength of adjustment policy and housing price changing don' t match perfectly. Finally it puts forward some corresponding suggestions to improve real estate taxes policy
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