产业地产投资环境评价研究

发布时间：2018-01-06 02:23

本文关键词：产业地产投资环境评价研究　出处：《西安建筑科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：产业地产能够实现产业、城市、房地产三者的相互融合和良性的互动发展。投资环境是影响和制约投资运行效率的各种外部因素的总和，对投资环境进行分析评价有助于决策者在投资决策之初把控风险；而目前国内外对产业地产投资环境的研究成果十分有限。鉴于此，本文从产业地产开发商的视角出发，对中尺度地域范围的产业地产（工业产业综合体）一般性投资环境进行探索性的中观评价研究。本文在已有投资环境与产业地产的相应理论研究基础上，，从产业地产开发商的视角出发，结合产业地产的特征，采用频度统计、理论分析和专家确认等方法，从经济、基础设施、社会服务、产业环境四个方面筛选出44项具体指标，构建了产业地产投资环境评价指标体系，并对各指标进行了定性的解释和分析；其次将投影寻踪动态聚类模型引入到产业地产投资环境评价方法中，该方法能够完全根据原始数据信息的自身特性实现排序和聚类分析，使评价结果更加客观可靠；同时采用基于实数编码的加速遗传算法对模型进行求解，编写了加速遗传算法的MATLAB程序；最后借助陕西省9个地级市的产业地产投资环境对评价模型进行验证。实证研究验证了评价模型的正确性，并得出陕西省产业地产投资环境的排序聚类结果：第一类城市排序依次为宝鸡，咸阳，榆林，铜川；第二类城市排序依次为延安，渭南，汉中；第三类城市排序依次为安康，商洛。同时我们结合陕西省各研究样本城市的实际资源禀赋情况对产业地产的类型选择提出了相应建议。
[Abstract]:Industrial real estate can realize the integration of industry, city and real estate. The investment environment is the sum of various external factors that affect and restrict the efficiency of investment operation. The analysis and evaluation of the investment environment can help the decision-makers to control the risk at the beginning of the investment decision. At present, the domestic and foreign research on the investment environment of industrial real estate is very limited. In view of this, this paper starts from the perspective of industrial real estate developers. This paper studies the general investment environment of industrial real estate (industrial complex) in mesoscale region. On the basis of the existing investment environment and the corresponding theoretical research of industrial real estate, from the perspective of industrial real estate developers, combined with the characteristics of industrial real estate, this paper adopts the methods of frequency statistics, theoretical analysis and expert confirmation. From the four aspects of economy, infrastructure, social service and industrial environment, 44 specific indexes are selected, and the evaluation index system of industrial real estate investment environment is constructed, and the qualitative explanation and analysis of each index are given. Secondly, the projection pursuit dynamic clustering model is introduced into the industrial real estate investment environment evaluation method. This method can complete the sorting and clustering analysis according to the characteristics of the original data information. To make the evaluation results more objective and reliable; At the same time, the accelerated genetic algorithm based on real coding is used to solve the model, and the MATLAB program of accelerated genetic algorithm is written. Finally, the evaluation model is verified by the industrial real estate investment environment of nine prefectural cities in Shaanxi province. The empirical study verifies the correctness of the evaluation model, and obtains the sequencing and clustering results of the industrial real estate investment environment in Shaanxi Province: the first kind of city ranking is Baoji, Xianyang, Yulin, Tongchuan; The order of the second type cities is Yan'an, Weinan, Hanzhong; The order of the third kind of cities is Ankang and Shangluo. At the same time we put forward the corresponding suggestions on the choice of industrial real estate type according to the actual resource endowment of the sample cities in Shaanxi Province.
【学位授予单位】：西安建筑科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F299.23

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