Under the conditions of market economy, the healthy development of the real estate market is of great significance to the normal operation of the real estate economy and the sustainable development of the real estate economy. Therefore, it is necessary to be able to accurately evaluate the development of the real estate industry and adopt appropriate macro-control measures in time. Taking Xiamen as an example, this paper adopts the way to combine objective information entropy weight method with subjective order relationship analysis method to determine the weight of group decision makers on program attributes and balance the importance of each index. According to the comprehensive attribute value of each scheme, the weight of decision makers is calculated by using entropy weight method for giving the evaluation result of the scheme. The results show that the overall situation of the development of real estate industry in Xiamen is more optimistic, and the weight of each index after the normalization of land transfer price is the highest. Based on the research conclusions, this paper proposes corresponding assessment commendations as a reference for relevant parties.

The housing purchase restriction policy is an important part of China’s real estate macro-control policy, and its policy objective is to curb the excessive rise of real estate prices. Starting from the Chinese housing purchase restriction policy, this paper combines the content analysis method and the common word analysis method to quantitatively analyze the control policies to curb the “real estate speculation phenomenon”, and sort out the control policy system structure of China’s housing prices to improve the existing government. The control policy system and the introduction of restrictions on purchase policies in other regions provide guidance.

Previous studies have shown that traceability system is an important technical means to solve food safety problems. As a way of information disclosure, traceability system can effectively improve the problem of information asymmetry in the food supply chain, so as to overcome market failure and improve food safety to a certain extent. However, the mechanism of information transmission of traceability system is controversial. One view is that consumers obtain more food safety information through food traceability to judge whether food is safe or not. Another view is that the traceability system sends quality signals to consumers to improve their confidence and effectiveness in purchasing food. According to the current research results, based on the origin and quality attribute two variable scale design, using the survey data of chengdu, 1116 consumers SPSS factor analysis is adopted to establish the index of correlation matrix, combined the theory of information entropy, determine the index weight of two kinds of attribute information, to verify that the consumer information transfer mechanism of food traceability system preferences. The results show that 72.22% consumers prefer the food traceability system to directly transmit quality assurance signals to them, which verifies that the traceability system is more effective in solving information asymmetry through signal path.

Natural disasters are inevitable, and they have a very destructive impact on the environment in which humans and humans live. The impact of natural disasters on economic growth is one of the important issues in the study of disaster economics. For the disaster area, how to quickly carry out post-disaster recovery and development, and form a unique development model is particularly important. As one of the most severe disaster areas in the Wenchuan earthquake, Dujiangyan actively cooperated with the public after the disaster, accelerated the innovation of management system, actively built international cooperation, accelerated the construction of new business styles based on the advantages of natural and humanities, and continuously optimized and improved the construction of supporting facilities based on the needs of industrial development. In the decade after the disaster, the economic recovery and development of the region showed fluctuations, stabilization and year-on-year improvement. Regional economic output continued to increase. This study uses the theory of economic growth to analyze from the perspective of industrial recovery and development, and explore the development model of the region in the next decade after the disaster, for reference by other disaster areas.

No abstract