ABSTRACT

In recent years, the remote sensing data plays an increasingly significant role in Land use prediction modeling. The effects of land conversion and agricultural bio production are evaluated using remote sensing and economic analysis. It is impossible to over-emphasize the advantages of the vibrant, efficient hybrid mortgage market in Guangdong as it is inseparably linked to economic development. This paper explores specifically the main variables affecting residential mortgage demand and other restrictions on households’ use of a mortgage using the Fuzzy Systematic Evaluation System (FSES). Furthermore, this objective has been accomplished by examining and analyzing the available mortgage products in Guandong through questionnaire survey responses. In addition, the high-interest rates, low income, and house prices result in high and unreasonable repayment-to-earnings mortgages ratios. Moreover, the cumulative effect of this is to make households on low and mid-income prices to the mortgage market. While higher house prices are found in this study to increase mortgage demand, they trigger banks to offer fewer and charge higher rates, particularly after the boom, and especially for highly leveraged households.

摘要

近年来，遥感数据在土地利用预测建模中发挥着越来越重要的作用。使用遥感和经济分析评估土地转化和农业生物生产的影响。不能过分强调广东充满活力，高效的混合抵押贷款市场的优势，因为它与经济发展密不可分。本文使用模糊系统评价系统（FSES）专门探讨了影响住宅抵押贷款需求的主要变量以及其他限制家庭使用抵押贷款的因素。此外，通过问卷调查的方式对广东省现有抵押产品进行检查和分析，从而实现了这一目标。此外，高利率，低收入，房价导致高和不合理的还本付息比率。而且，这种累积效应是使家庭以低收入和中等收入的价格进入抵押贷款市场。尽管在这项研究中发现较高的房价会增加抵押贷款需求，但它们触发银行提供的利率降低，并收取更高的利率，尤其是在繁荣之后，尤其是对于高杠杆率的家庭。