The developing of Internet technology has laid the strategic foundation for business model transformation and upgrading.In the process of deepening reform and expanding the scale of foreign trade,cross-border e-commerce,as an emerging industry,links upstream and downstream supply chains and logistics and financial industries,creating more employment opportunities and jobs for China,and solving the employment problem of China’s ample workforce to a certain extent.Cross-border e-commerce closely connects the three major industries in the form of online transactions,covers the entire circulation aspects of domestic and foreign commodity production,purchase,sales,transportation,etc.,which also contacts the production market and sales market,shortens the transaction cycle,increases the frequency of transactions,accelerates the speed of commodity inventory turnover and currency circulation,provides convenient and stable trading channels for the development of China’s foreign trade.And it enables the market economy to adapt to international rules and practices faster and better integrate into the world.Cross-border e-commerce has created conditions for China to improve the level of opening up to the outside world further and open up a new pattern of international trade.Under the catalytic effect of computer technology,in the process of accelerating the development of foreign trade,many labors in modern society have been gradually replaced by artificial intelligence,and we need to learn about that whether the population is no longer an indispensable key element in economic development.This article aims to study the specific demographic structure of the development of cross-border e-commerce,and whether the different demographic structures of different regions will promote or hinder the development of cross-border e-commerce.According to the characteristics of cross-border e-commerce,such as the short transaction cycle,small impact on the epidemic and explosive growth,whether the output value of cross-border e-commerce can be increased by adjusting the population structure of the region,so as to improve the economic development level of a certain region and make the economic region develop in a balanced manner.This thesis will make a regression analysis of population structure and the output value of cross-border e-commerce,to find the data causal relationship between the two observe sample data,and analyze how population structure affects the development of cross-border e-commerce.The first major section is mainly the summary of population overview,industry status and existing literature,the second section is the establishment and empirical analysis of mathematical models,and the third section is to combine the research results with the theory of population industry,return to the research purpose of economic problems,and provide in-depth research and policy formulation planning direction.Specific to the content of the text,the first chapter summarizes and reviews the previous domestic and foreign literature on cross-border e-commerce,focus on the core points of the frontier latest literature,and introduces the main idea of this article.Chapter 2 introduces the overview and current situation of population structure and cross-border e-commerce,and summarize the current population structure and the status of cross-border e-commerce development in China.Chapter 3 establishes a mathematical model of population and cross-border e-commerce to establish the mathematical logic between population and cross-border e-commerce.Chapter 4 makes empirical analysis of population structure and cross-border e-commerce:through the comparison of different measurement methods,the key explanatory variables affecting cross-border e-commerce are confirmed,focusing on exploring the impact mechanism of key explanatory variables in population structure on cross-border e-commerce,construct regional differences of population structure with 3 groups,and analyzing the differences in the extent of impact on the development of cross-border e-commerce when the population structure is different.The interaction terms of key explanatory variables are need to be analyzed,the linkage between important variables cannot be ignored.And the influence of the corresponding variables of the dependent variable is determined by the regulated variables.In order to ensure the reliability of the empirical analysis,a set of sample observation data and regression equations were replaced to test the robustness.Chapter 5 analyzes the development potential of cross-border e-commerce according to the regression results,introduces two theorem in population theory to interpret the development potential of population and cross-border e-commerce,and analyzes whether there are established experiences in other industries to learn from if all enterprises in the industry achieve economies of scale.Chapter 6 focuses on expanding thinking and documenting innovative insights on decision-making approaches and policy recommendations,and concludes with a review reference. |