中国居民房贷幸福指数影响因素及作用路径——理论分析与实证研究  

Determinants of Happy Planet Index of Personal Housing Consumption Credit in China and Functioning Routes:Theoretical and Empirical Research

作　　者：宁薛平[1] 文启湘[2] 

机构地区：[1]上海立信会计学院金融学院,上海201620 [2]西安交通大学经济金融学院,陕西西安710061

出　　处：《财经研究》2011年第11期27-38,共12页Journal of Finance and Economics

基　　金：上海市教育委员会优秀青年项目(SLX10006);上海市教育委员会重点学科建设项目(J51703)

摘　　要：文章基于中国住房消费信贷与居民幸福指数相悖的现实矛盾,根据住房消费信贷和幸福指数相关理论,运用问卷查研数据,采用结构方程建模分析方法,对中国居民房贷幸福指数的影响因素及作用机制进行了系统的理论分析与实证研究。其主要结论为首付款、贷款期限、还款方式和未来房贷政策预期四个因素直接或间接影响幸福指数;在四种影响因素的作用下,A类幸福指数分别影响B类和C类幸福指数,C类幸福指数又影响B类幸福指数。由此,政府在房贷政策稳定条件下应制定灵活的贷款方式提高信贷产品的流动性,商业银行应采取自身发展与房贷者幸福指数相统一的措施,消费者必须在提高信贷知识水平的基础上切实做到理性房贷和理性购房。Based on the actual conflict between housing consumption credit and residents＇ happy planet index in China and relevant theories, this paper makes the systematically theoretical and empirical study of the determinants of happy planet index of personal housing consumption credit in China and functioning routes through the questionnaire data and structural equation model. It arrives at the conclusions as follows, firstly, down payment,loan term, repayment method and the expectation of future housing credit policy have direct or indirect effects on happy planet index; under the function of four determinants, A happy planet index affects B and C happy planet indexes, and C happy planet index also affects B happy planet index. Therefore, under stable housing credit policy, the governments should formulate flexible credit ways in order to raise the liquidity of credit products; commercial banks should develop themselves according to residents＇ happy planet index; the consumers should realize rational housing credit and buy houses rationally on the basis of the improvement of credit knowledge.

关 键 词：住房消费信贷 幸福指数 问卷调查 结构方程模型 

分 类 号：F126[经济管理—世界经济] F832.45