信用风险管理实践与肯尼亚房地产建设住房项目绩效Busia县房地产建设住宅项目案例

Ekisa Amoo Murunga, Charles M. Rambo, John M. Mbugua
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引用次数: 0

摘要

目的:本研究的目的是建立信用风险管理实践对Busia县房地产建设住房项目绩效的影响。 方法:本研究的数据收集采用问卷调查,焦点小组讨论和访谈时间表。数据分析采用描述性和推断性统计。描述性统计涉及定量数据分析,因此它使用中心趋势的测量,如频率、百分比、平均标准差、综合平均值和综合标准差,而推论统计涉及使用spearman相关和回归分析来检验研究假设。 研究发现:在数据分析过程中,研究发现,信用风险影响了Busia县房地产建设住房项目的绩效;这意味着使用李克特量表,受访者同意信用风险影响了布西亚县房地产建设住房项目的绩效。富下县房地产建设住房项目信用风险管理与绩效的总体相关系数为0.580,p值为0.000 <0.05表示从参与者的角度来看,研究结果表明Busia县房地产建设住房项目信用风险管理与绩效之间存在显著关系;导致拒绝零假设,接受备择假设。简单线性回归系数和Pearson相关结果表明,信用风险管理对Busia县房地产建设住房项目绩效有显著影响。 对理论、政策和实践的独特贡献:该研究提供的理论揭示了过去的统计数据表明,较高的信贷利率不一定会误导房地产的总回报表现,但面对利率上升,房地产表现往往保持弹性。该研究还告诉实践,房地产开发是一项资本密集型投资,因此开发商必须探索可负担得起的其他资本来源。最后,这项研究告诉政策制定者,为了提供所需的大量经济适用房,土地和房地产交易的过程需要快得多。
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Credit Risks Management Practices, And Performance of Real Estate Construction Housing Projects in Kenya; A Case of Real Estate Construction Housing Projects in Busia County
Purpose: The purpose of this study was to establish how credit risk management practices influence performance of Real Estate Construction Housing projects in Busia County. Methodology: The data for this study was collected using questionnaires, focus group discussions and interview schedules. Data was analyzed using descriptive and inferential statistics. Descriptive statistics involved quantitative data analysis therefore it used measures of central tendencies such as frequency, percentage, and mean standard deviation, composite mean and composite standard deviation, while inferential statistics involved testing of research hypotheses using spearman correlation and regression analysis. Findings: During data analysis the study found that credit risk influences performance of real estate construction housing projects in Busia County; implying that using the Likert scale, the respondents agreed that credit risk influences performance of real estate construction housing projects in Busia County. The overall correlation coefficient for credit Risk Management and Performance of real estate construction housing projects in Busia County was found to be 0.580 with a p-value of 0.000 < 0.05 implying that from the views of participants in the study the results indicated that there was a significant relationship between Credit Risk Management and Performance of real estate construction housing projects in Busia County; leading to rejection of the null hypothesis and acceptance of the alternative hypothesis. The simple linear regression coefficients as well as the Pearson correlation results indicated that there was significant influence of Credit risk management on Performance of real estate construction housing projects in Busia County. Unique Contribution to Theory, Policy and Practice: The study contributed the theory that revealed that past statistics show that higher interest rates on credit have not necessarily misguided real estate total return performance but property performance has often remained resilient in the face of rising rates. The study also informed the practice that real estate development is a capital intensive investment and thus developers have to explore alternative sources of capital which can be affordable to them. Finally, the study informed the policy makers that to deliver the high numbers of affordable housing units required, the process of land and real estate transactions needs to be much faster.
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