Challenges of International Trade and Government Governance from the Perspective of Economic Globalization

• Published in: Advances in multimedia 2022-08, Vol.2022, p.1-10
• Main Author: Ge, Dan
• Format: Article
• Language: English
• Subjects: 19th century; Algorithms; Departments; Economic development; Economic forecasting; Economic models; Foreign investment; Globalization; Government agencies; Group method of data handling; Imports; Indicators; Industrial Revolution; Information technology; International trade; Market economies; Neural networks; Particle swarm optimization; Political power; Politics; Public policy; Rule of law; Smart structures; Society; Technological change; Technology
• ISSN: 1687-5680; 1687-5699
• DOI: 10.1155/2022/5157048

How to provide a harmonious and fair competition environment for trade activities depends on the effective management of government departments and organizations. How to play a real protective role in trade activities requires the optimization of government functions and the enhancement of economic management capabilities. Therefore, timely forecasting changes in import and export trade and formulating targeted preferential policies are of great significance for evaluating the development of the national market economy, promoting the development of the national economy, and further enhancing the country’s economic capacity. This chapter also establishes an early warning model of Shenzhen’s import and export transactions based on GMDH network. On the basis of expounding the particle swarm optimization algorithm and GMDH algorithm, the optimization mode, method, and process of GMDH network based on particle swarm optimization are also expounded. First of all, in China’s domestic macroeconomic environment, national policy environment indicators and foreign macroeconomic environment indicators, eight indexes related to international import and export transactions are selected, and the autocorrelation test and main component analysis of the indexes are carried out. Finally, the simulation results show that compared with a single GMDH network, the GMDH neural network after particle swarm optimization can get better prediction conclusions. The research results of this paper show that the GMDH network can more accurately predict the trend of Shenzhen’s international import and export transactions because of its adaptive structure, creating a new way for international import and export transaction forecasting.