Study on the Path of Three-Chain Integration of the Logistics Service Industry in Zhengzhou

To optimize the spatial layout of modern logistics services in Zhengzhou, build a driving mechanism for the professional development of logistics services, and promote logistics services to give full play to the driving force of coordinated development of regional economy, we must base ourselves on the logistics service industry chain, strengthen industrial innovation, value innovation and integration innovation, and realize the reconstruction of the value chain of logistics service industry. Based on the three-chain integration theory, this paper constructs a fuzzy comprehensive evaluation model for the three-chain integration of logistics service industry, adopts a combination of qualitative and quantitative methods, evaluates the effect of the three-chain integration of logistics service industry in Zhengzhou, and aims at the problems existing in the process of three-chain integration, such as lack of systematic planning, weak competitiveness, and low profitability. Measures such as improving fiscal and tax incentives, clarifying strategic positioning, overall planning of industry layout, strengthening innovation, and integrating new driving forces for the development of logistics service industry will further promote the in-depth integration of logistics service industry chain, value chain, and innovation chain in Zhengzhou.

Transmission Mechanism of Stock Price Fluctuation in the Rare Earth Industry Chain

The transmission of stock price fluctuations of listed companies in the rare earth industry has complex characteristics. Mastering its transmission law is of great meaning to understand the relationship between the upstream and downstream of the rare earth industry chain and market investment. This article uses the time series of daily closing prices of stocks in the global rare earth industry chain in the past ten years as the research object. The Granger causality test and complex network theory were used to construct the risk transmission network of the industrial chain. We have identified the key stocks in the network of stock price fluctuation in the rare earth industry chain and obtained the transmission path of stock price fluctuation. According to the results: (1) The stocks of Chinese and Japanese listed companies considerably influence the transmission of the stock price fluctuation in the rare earth industry chain. (2) The transmission distance of the stock price fluctuation of each network is relatively small, and the transmission speed is relatively fast. (3) The fluctuation of stock price in the rare earth industry chain is mainly transmitted from the upstream and midstream links to the midstream and downstream links.

Research on Guilin Smart Cultural Tourism Service Scenario based on Digital Twin Technology

In recent years, with the emergence of new technologies such as cloud computing, the Internet of Things, big data, and artificial intelligence, the country has deeply promoted the application of science and technology in the cultural and tourism industries, targeting smart cultural tourism, digital cultural industries, online and offline integrated development, and scenic spots. Multiple service scenarios such as smart supervision put forward new requirements. The purpose is to use digital twin technology to build a digital, online, and intelligent cultural tourism industry chain, optimize Guilin tourism service processes, improve service efficiency, and make full use of the city's smart cultural tourism development to promote the improvement of the city's image and promote Guilin The new form of global tourism forms the city's endogenous development capabilities, and provides theoretical and practical guidance for the construction of smart cultural tourism in other cities. By analyzing the current status of smart cultural tourism and application requirements, it discusses the design and construction of Guilin smart cultural tourism service scenarios based on digital twin technology, and how to strengthen the realization of future-oriented smart interactive scenarios in the innovation of service models.

The butterfly effect in the price of agricultural products: A multidimensional spatial-temporal association mining

With the advent of the era of big data, data mining methods show their powerful information mining ability in various fields, seeking the association information hidden in the data, which is convenient for people to make scientific decisions. This paper analyses the butterfly effect in the agricultural product industry chain from the perspective of producer and consumer by using multidimensional time and space theory and proposes a new price forecasting method. We consider that the price change of agricultural products is not only affected by the balance of market supply and demand but also by the factors of time and space. Taking the pig industry chain of Sichuan Province as an example, this paper explores and excavates the data from 2010 to 2020 in the time dimension. Interestingly, we found that the price changes in pork in the market are generally highly correlated with the prices of slaughtered pigs, piglets a few weeks ago and the prices of multiple feed a few months ago. Based on the precise time-space factors, we improved the price forecasting model, greatly improved the accuracy of price prediction, and proved the effectiveness of multidimensional spatiotemporal association mining. The research in this paper is helpful to establish a brand-new agricultural product price prediction theory, which is of great significance to the development of the agricultural economy and global poverty alleviation.

Optimization and Development of Country Smoke-Free Homestay Industry Chain

Objectives: The rapid development of the global tourism industry has brought about a boom in the development of the homestay industry, and the development of homestays in China is no exception. With the advent of the era of large accommodation, the country smoke-free homestay industry can not only meet people's basic needs for travel and accommodation, but also a place to experience culture and social consumption, which is an increasing need for people's better life. From the perspective of the business model of homestays, the new types of homestays that incorporate the upstream and downstream industrial chain of homestays are more in line with future development trends. In order to solve the problems of "weak", "scattered" and "small" in the form of the country homestay industry chain, and to continuously optimize the coordinated development of the country homestay industry chain, it is very necessary to adopt the following paths and measures: The first is to strengthen the coordination and integration of country homestay with other industrial chains; the second is to strengthen the agglomeration of the homestay industry and create a branded management road for country homestay; the third is to strengthen government guidance, coordinate the distribution of benefits, and create beautiful country homestay; the fourth is to increase policy support Make efforts to promote the flow of homestay talents and achieve high-quality development of the homestay industry.

How Can China’s Indium Resources Have a Sustainable Future? Research Based on the Industry Chain Perspective

Global competition and storage for indium resources are increasing. This paper uses substance flow analysis to quantify the flow of indium in China from 2000 to 2019 and discusses the problems facing China’s indium industry chain. Over the past 20 years, China has mined more than 21,000 tons of indium from the lithosphere, and the accumulated indium content in imported ore is about 3600 tons. In the upper reaches of the industrial chain, the loss of indium exceeded 19,000 tons; in the middle reaches, due to technical barriers, China exported a large amount of indium at low prices and imported a large amount of ITO targets at high prices. The amount of indium in the imported targets exceeded 2100 tons; in the downstream, approximately 60% of the final products were exported abroad. China’s cumulative output of recycled indium was about 630 tons, primary indium output was 5912 tons, and the cumulative inventory of indium reached 3200 tons. Therefore, increasing the recovery rate in the primary production stage, overcoming the technical barriers in the middle of the industry chain, and establishing an efficient recovery system are necessary measures to promote the sustainable development of indium resources and its industry chain.

Optimization of Ice and Snow Sports Industry Chain Structure Based on Sensor Network Communication and Artificial Intelligence

As a new tourism industry model, the ice and snow sports tourism industry has played an increasingly important role in the development of China’s entire tourism industry. This paper analyzes the structural optimization of the ice and snow sports industry chain based on sensor network communication and artificial intelligence and aims to fully apply sensor network communication and artificial intelligence technology to the development of the ice and snow sports industry. Let us look for an optimized method to promote the development of the ice and snow sports industry chain structure. This paper conducts a research on the optimization of the ice and snow sports industry chain structure based on sensor network communication and artificial intelligence. In the method part, this article explains the architecture of sensor nodes and networks, uses the long-term monitoring of wireless sensor networks and the flexibility of the data acquisition structure, combined with the superiority of artificial intelligence in information processing and analysis, to obtain and analyze the experimental data of this research, and introduces the specific content of artificial intelligence and the ice and snow sports industry. In the algorithm, the grey relational analysis method is introduced. In the part of the experimental results, experiments were carried out on the ice and snow city resources, competitive advantages, the quarterly average value of the ice and snow sports enterprise prosperity index, ice and snow sports venues, GDP, and the speed comparison and structure of the development of the sports industry, and simulation experiments were carried out from the perspective of sensors. On the whole, the development curve of China’s ice and snow sports industry basically conforms to the economic development curve. With the slowdown of GDP growth rate, the growth rate of the sports industry slowed down simultaneously. However, despite the continued decline in economic growth, the sports industry has ushered in a peak of development, with a growth rate of 89.45%, a year-on-year increase of 69.3 percentage points. This phenomenon shows that the sports industry has sufficient endogenous development momentum and huge development potential. It is an important driving force and emerging growth point of the economic society and modern services. It has a comprehensive driving role in stimulating urban consumption, promoting economic transformation and upgrading, and driving the development of the service industry.