In recent years, China’s economic development has advanced by leaps and bounds, but the development of China’s rural logistics system is still at its primary stage. Some remote areas with inconvenient transportation are still in a state of serious lack or even blank, and due to the high cost of rural logistics delivery services, the rural logistics business of the enterprise also has a profit problem, which limits the development of rural logistics talent innovation to some extent. The purpose of this paper is to study a new influencing factor model of the Internet rural logistics talent innovation mechanism. This paper innovatively proposes countermeasures to improve the innovation of e-commerce practitioners in rural areas. Through research, the author finds that the innovation of rural e-commerce application talents in China is generally low. The key point of the solution lies in how to improve the level of innovation in rural e-commerce application talents. According to the status quo, identify the factors that hinder the innovation and improvement of rural e-commerce application talents. Combined with the great environment of the development of rural e-commerce industry in China, the paper proposes to improve the countermeasures for improving the innovation of rural e-commerce application talents. Improve the current situation of rural e-commerce application talents mediocrity and promote the innovation of rural e-commerce application talents. Fundamentally promote agricultural development and the building of a new socialist countryside. This paper adopts the literature research method based on fuzzy comprehensive evaluation method, system analysis method and the combination of questionnaire survey and interview. Through big data and information science methods for data processing, using a company’s Internet rural talent data set to simulate, the results It shows that with the method of this paper, the recognition rate reaches 98%, the speed increases obviously, and it is 20% faster than others.
The Internet of Things is based on a communication network to automatically receive various information from the natural world. It uses intelligent objects with perception, communication and computers to automatically receive various information from nature. All independently managed physical objects are connected to each other to achieve integrated perception, reliable transmission and intelligent processing, and to establish intelligent information between people and objects, and objects and object service systems. This article mainly introduces the impact of industrial agglomeration on the regional economy in a simulated intelligent environment based on machine learning. This paper proposes a method to detect industrial agglomeration index to analyze industrial agglomeration. Through the establishment of the industrial agglomeration index system, the level of integration of the manufacturing industry in our city was objectively analyzed, and the impact of the integration of manufacturing industry on our city was tested empirically. Finally, the relationship between industrial integration and regional economic development was tested. The experimental results in this paper show that industrial integration in a smart environment based on simulation learning has a significant positive impact on regional economic development. Among them, the level of cooperation between the manufacturing service industry and the manufacturing industry increased by 1%, and the level of regional economic development increased by 0.025%.
With the continuous maturity of its technology and philosophy, the blockchain has officially entered the 3.0 phase, which is characterized by a programmable society. That is, the blockchain will gradually penetrate from the virtual world to all aspects of real life, and the agricultural product e-commerce is now the stage connects real and virtual best opportunities. Blockchain is another wave of information technology revolution after the Internet, mobile Internet, and cloud computing and big data platform. Blockchain technology has decentralized, de-intermediary trust, security and confidentiality functions, which have been applied in banks. Securities, insurance, payment, agricultural products exchange and other fields. Jilin Province is a major province for the production and export of agricultural products. How to promote the development of agricultural products e-commerce in the region towards a more environmentally friendly and energy-saving direction is a problem that scholars in the field should ponder. Based on this, this paper expounds the characteristics and application of blockchain, discusses the application of blockchain technology in the agricultural product e-commerce industry in Jilin Province, and combines the characteristics of C2M mode to give a blockchain decentralization and Design case for trust and security mechanisms.
The Credit markets are served as intermediation between the lenders and borrowers. Huge economic activities are invested and obtain results over a small period of such credit market activities. Since it is good at the production of investments, there is a sudden fluctuation in the economic growth due to weak contracts with the borrower, less ability to monitor the invested amount, no credentials on further investment. The above issues gradually decrease economic growth. This research analyses the linkage between the credit market issues and a country’s economic growth during the recession and normal period. A Vector Fault Modification Model (VFMM) is proposed for the analysis. This model investigates the credit markets’ short-term and long-term investments using the fault classification and prediction criteria. The error coefficients (10.5%) are validated based on economic growth and further correlated with the credit markets’ accuracy rate (92.4%). This paper analysis the positive and high impact of economic growth based on credit market strategies.
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