Work

Measurement Method and Application of a Deep Learning Digital Economy Scale Based on a Big Data Cloud Platform

Year: 2021

Type: article

Abstract: In recent years, with the acceleration of the process of economic globalization and the deepening of my country's financial liberalization, the scale of international short-term capital flows has been extremely rapid. This article mainly studies the deep learning digital economy scale measurement method and its application based on the big data cloud platform. This article uses the indirect method to estimate the stock of renminbi circulating abroad. The results show that the application of big data cloud platforms can increase the development share of digital media and digital transactions in the digital economy, and optimize the structure of China's digital economy.

Source: Journal of Organizational and End User Computing

DOI: 10.4018/joeuc.20220501.oa1

Authors: Yanmei Zhao, Yixin Zhou

Institutions: Northeast Normal University, Changchun Finance College, Shanghai Business School

Language: English

Topic: Digital Economy and Transformation

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: People's Government of Jilin Province