Interview with Zhu Jianping, a professor at Xiamen University: 70 major and medium -sized urban leasing indexs are to provide a reference basis for the people and the government

On June 19, the "70 -City Real Estate Cloud Review Index and Public Opinion Analysis Conference" hosted by Xiamen University and Northeast University of Finance and Economics.

At the meeting, the “70 large and medium -sized cities based on big data based on big data The rental house resource endowment index "(hereinafter referred to as the 70 major and medium -sized cities lease index) was released.

"The government has clearly that the house is not used for frying, it is used to live. 'Our lease index is to provide the people with some references to the people. 'Resource endowment' is the resource endowment of rental houses. "Zhu Jianping, a professor at Xiamen University, said in an exclusive interview with the" Daily Economic News "reporter after the meeting.

Zhu Jianping is currently a professor and doctoral supervisor at the School of Management of Xiamen University, deputy dean of the National Academy of Health Medical Big Data National Research Institute, and director of the data mining research center of Xiamen University.

Zhu Jianping and his team leased indexes dominated by 70 major and medium -sized cities have measured the rental endowment of housing from multiple aspects, including transportation, education, medical care, living services, and entertainment activities. In addition, the index will also provide strong data support in housing leasing, real estate assessment, and credit approval of financial institutions.

Zhu Jianping's picture source: Every reporter Zhao Li Nan takes it

The implementation of academic theoretical research methods

In fact, the concept of ranking effects proposed by Zhu Jianping in the early years had a decisive impact on the formation of 70 major and medium -sized cities lease indexes.

“权重的确定也是我们当初科研的一个成果，当时发表了一篇文章，确定了秩效应的概念，是我写的。我们高校是做理论方法研究的，就是指数的确定、权重怎么能够实现、 We can use this method to determine the weight through this method to determine the weight. "Zhu Jianping said.

In 2002, Zhu Jianping and other authors published the paper "Analysis and Application of Lienian Data" and put forward the concept of order effects of orderly factors for orderly columnist data.

Rental housing resource endowment index index index system framework

Image source: "Research Report on the Research Report of Big Data -based National Large -Senior Cities Rental Housing Resources Endowment Index"

"If the theoretical and method study wants to land, there must be a scene. The weight of the ranking effect determines the weight of the index is a theoretical work many years ago. Combined with Xiamen Cloud Review Zhonglian Technology Co., Ltd., this project has also gained China. Real estate appraisers and real estate brokers' first prizes. "Zhu Jianping said.

Zhu Jianping said: "Therefore, in the process, I have a very important experience. In -depth research and development, the government, universities, and enterprises must be combined in order to do in -depth application research. ","

The 70 major and medium -sized cities lease indexes have also developed and improved step by step. From Xiamen as a sample, it gradually expanded to the current 70 large and medium cities in the country.

Zhu Jianping told reporters: "In November 2018, we began to organize team research and development. When we developed, we were engaged in models and algorithms. Model construction is mainly based on the construction of the real platform. The results of the first phase of the research were officially released at Xiamen University in July 2019. When the release was released, it was piloted by Xiamen City. In this city, Zhangzhou, Quanzhou, Fuzhou, and Xiamen have formed the second phase of research results, and officially released in Xiamen in January 2021. This year, it has expanded to 70 large and medium cities. "

Guangzhou, Lanzhou, Zhengzhou, Shanghai rental housing resource endowment index high

"For example, the vegetable market, young people may think that far away, because it is more noisy, the elderly feel close to good. Far far away or near, we do not make a judgment now, we will give you the entire index, we will give you the entire index. You come to make a judgment. "Zhu Jianping said.

Zhu Jianping believes that the 70 major and medium -sized urban leasing index is mainly to provide data without making value judgments.

"The indicators portrayed now, did we not report excellent or not excellent. Why not report it? Because the indicator is objectively reporting its influence, for example, the supermarket, the supermarket is close, or it is far away. Okay? I don't care if you get close or far away, but I tell you this indicator. You can follow your work habits and living habits. You (judge yourself) think that this supermarket is far away or near. " Zhu Jianping said.

Zhu Jianping said: "But the overall situation, from the perspective of the average level, the leasing housing resource endowment score in Guangzhou, Lanzhou, Zhengzhou and Shanghai is high."

"We did not say in our report. The reason for not mentioning allows everyone to have their own judgment, and it can also provide a scientific basis for the people. Sometimes we make a judgment. In addition to the results of the data, we must add The relevant life concepts, experiences, and some of our subjective factors are combined to conduct comprehensive judgment. "Zhu Jianping said.

Image source: "Research Report on the Research Report on the Research Report of Big Data -based Large -Senior Cities Rental Housing Resources Endowment Index"

It is worth noting that according to the distribution data of the medical and health index of 70 major and medium -sized cities, most areas can be divided into three circles, especially East China, South China, Central China, and Southwest. Peak characteristics are more obvious than North China and Northwest China, and there are very significant double peaks and even multiple peaks in seven regions. Zhu Jianping analyzed to reporters: "This shows that whether it is inside or between the city, there is a circle of circular distribution of medical and health resources. Some of the communities that are located in the city center or rich cities have a lot of medical care. Health resources, the other part is slightly worse or the resource is not so rich, the communities in the city are only medium -level medical and health resources. In the end The planning is still based on the form of functional areas, and does not fully consider the characteristics of the layer distribution of urban population circle. The distribution of resource points such as hospitals should be combined with the characteristics of population distribution. In particular, we should pay attention to the healthy and fragile people such as the elderly and children. "

Next, plan to be included in the new infrastructure content

It is worth noting that after the excavation and analysis of massive data, some of the current common problems in 70 cities have gradually emerged.

"Some of these 70 cities are not provincial cities or vice -provincial cities. Some cities are incomplete. For example, some cities do not have subways, some cities do not have fast (transportation), and some cities have very few charging piles Some cities are still planning and construction. However, our indicator system is in the indicator system. These things are reflected in a certain city, and it may reflect very weak. "Zhu Jianping said.

Zhu Jianping analyzed: "But this strong and weakness cannot be described as good or bad. This is its current situation, not that some of our indicators can reflect the specific situation of each city. If these indicators are objective comparison, they also There are differences, the differences in the infrastructure of each city itself are very large. "

Image source: "Research Report on the Research Report on the Research Report of Big Data -based Large -Senior Cities Rental Housing Resources Endowment Index"

"The differences between cities, cities and villages are still relatively large. Regarding this study, I also said in the report. I think our next step is to measure the public between the entire city through these data. The balance of resource allocation is to be resolved in the next step. After that, we must specifically build an index to analyze the differences and equilibrium, and also provide some scientific basis for the government and urban construction. "Zhu Jianping said.

Next, Zhu Jianping will continue to promote the relevant content of the 70 -medium -China leasing index and include the relevant resource endowment of the new infrastructure is one of the important directions.

"First, what kind of situation is the balance of public resources in 70 cities? We plan to do research from cities and cities, cities and villages. For example, the differences between the countryside and the city Balanced, such as educational resources, transportation resources, public service resources, etc., such as new infrastructure -related resources, 5G sites, charging piles, smart parking lots, high -voltage substations, etc. . "Zhu Jianping said.

"The second aspect is to expand in depth. Now it is mainly residential. The next step is to expand for office houses and commercial housing. What is the situation of its resource endowment."

"The third aspect is that we have too much data now. Everyone register this platform and can go in. We have also developed a lot of projects and products later. These products are also listed on the platform. If you need it, It can be carried out together for joint research and development. The value -added research of the following data. We call it the derivative of data, and it is also a realization and improvement of digital industrialization. "Zhu Jianping said.

(Intern Feng Xueer and Shi Zihan also contributed to this article)

Daily Economic News

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