Analysis on the Legal System of International Technology Trade Management Based on Data Mining Analysis

Analysis on the Legal System of International Technology Trade Management Based on Data Mining Analysis

Xiangbin Zuo, Yi Yang
Copyright: © 2023 |Pages: 16
DOI: 10.4018/IJSWIS.328528
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Abstract

With the rapid development of computer and information technology, people can obtain and store data in a faster and cheaper way, which makes the amount of data and information grow exponentially. Based on data mining technology, this paper systematically analyzes and compares the basic situation and evolution of international trade networks and international human relations networks using the bilateral trade data and human relations data of countries and regions in the world. The research shows that the strength external entropy, strength internal entropy, and network weight entropy of the whole international trade network from 2008 to 2014 are generally lower than 0.75. The whole network still showed a downward trend from 2010 to 2015, but it began to rise steadily after 2016. The monopolistic behavior in international technology trade has a significant impact on the fundamental freedoms and rights of citizens.
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Introduction

In today’s world, the development of technology is constantly changing. A country’s level of technology has become the primary indicator of its comprehensive national strength. Competition in the international economy and trade ultimately boils down to competition in technology. In the early stages of the Industrial Revolution, technological progress and international technology transfer were relatively slow, and the product life cycle was long, which put countries that led in technological innovation in a favorable competitive position globally for a long time. Generally, contract clauses that reflect restrictive business practices are called restrictive business clauses (Hammad et al., 2021). On a broad scale, restricting competition, whether reflected in contracts or other international economic activities, is often referred to as a restrictive business practice (Rehman et al., 2015).

With the enhancement of competition in some technical fields and the increase of technology exports in developing countries, strengthening the management of technology exports is also an essential part of technology trade management in developing countries. Technology transfer is often carried out together with technology trade. The government must take measures to control technology transfer because the government bears more important responsibilities in technology trade than traditional physical trade. As a result, all countries manage technology trade with different priorities (Jarosław & Sobkowiak, 2015). Restrictions on market access or excessive restrictions on competition through other means may negatively impact international trade, especially developing countries’ international trade and economic development. Strengthening the management of technology trade is an essential component of foreign trade system reform in various countries. Developing countries focus on managing technology imports, while developed countries focus on managing technology exports. As the most technologically developed country, the United States has the most influential technology trade management system. From 2010 to 2015, the external, internal, and network weight entropy of the total international trade network were generally lower than 0.75 and showed a downward trend. However, they began to rise steadily after 2016. The above results indicate that in a complete international trade network, the heterogeneity of output intensity, input intensity, and the intensity of all trade relations is significantly greater than the heterogeneity of nodes. China’s foreign technology trade management system still faces challenges, such as outdated concepts and lagging legislation. Perfecting the technology trade legislation as soon as possible is necessary for rejuvenating the country through science and technology and developing foreign trade. Data mining involves extracting implicit, unknown, nontrivial, and potentially valuable information or patterns from large databases or data warehouses. This new field has great application value in database research, which integrates the theories and technologies of databases, artificial intelligence, machine learning, statistics, and other fields. Based on data mining analysis, this paper investigates the application of technical risk under force majeure by analyzing the types of technical risk.

The impact of anti-monopoly laws on economic life is highly complex, and their formulation and implementation have different effects on various social foundations (Meng, 2020). The policy objective or theoretical basis of anti-monopoly legislation involves protecting competition or consumers’ interests, which is the same as the constitution that requires the development of a socialist market economy (Zhi & Zhou, 2018). Of course, with the improvement of competition in some technology fields and the increase of technology exports from developing countries, strengthening the management of technology exports is also essential to managing technology trade in developing countries.

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