Analysis on the Evolution Law and Policy Intervention of Market Competition Pattern under the Background of Digital Economy

Digital economy has become the core driving force of global economic growth, and its rapid iterative digital technology and rising platform economy have profoundly changed the traditional market competition pattern. Based on the three-dimensional analysis framework of "technology-market-policy," this paper discusses the evolution law of market competition patterns and the effectiveness of policy intervention in the background of the digital economy. It is found that the competition in the digital economy market shows obvious path dependence characteristics, and the head enterprises continue to strengthen their monopoly position by virtue of their first-mover advantage. The acceleration of technical iteration and network effect has significantly promoted the increase of market concentration. However, policy intervention can effectively reduce the excessive concentration of the market and encourage enterprises to innovate through the "dynamic equilibrium model". Through empirical analysis such as systematic GMM model and synthetic control method, this paper verifies the balance effect of the critical ratio of policy intensity and data density on innovation incentives and constraints, and puts forward some policy suggestions, such as implementing dynamic balance antitrust policy, strengthening data governance and privacy protection, and optimizing the way and timing of policy intervention, in order to provide theoretical support and policy reference for the healthy development of digital economy.

Authors

Institutions

Publication Details

Journal
Advances in Economics and Management Research
Published
2025-07-26
DOI
https://doi.org/10.56028/aemr.14.1.609.2025
Primary Topic
Economic and Technological Developments in Russia
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis on the Evolution Law and Policy Intervention of Market Competition Pattern under the Background of Digital Economy

Feng Xiong
Advances in Economics and Management Research
Economic and Technological Developments in Russia
article

Analysis on the Evolution Law and Policy Intervention of Market Competition Pattern under the Background of Digital Economy

Feng Xiong
article en

Abstract

Digital economy has become the core driving force of global economic growth, and its rapid iterative digital technology and rising platform economy have profoundly changed the traditional market competition pattern. Based on the three-dimensional analysis framework of "technology-market-policy," this paper discusses the evolution law of market competition patterns and the effectiveness of policy intervention in the background of the digital economy. It is found that the competition in the digital economy market shows obvious path dependence characteristics, and the head enterprises continue to strengthen their monopoly position by virtue of their first-mover advantage. The acceleration of technical iteration and network effect has significantly promoted the increase of market concentration. However, policy intervention can effectively reduce the excessive concentration of the market and encourage enterprises to innovate through the "dynamic equilibrium model". Through empirical analysis such as systematic GMM model and synthetic control method, this paper verifies the balance effect of the critical ratio of policy intensity and data density on innovation incentives and constraints, and puts forward some policy suggestions, such as implementing dynamic balance antitrust policy, strengthening data governance and privacy protection, and optimizing the way and timing of policy intervention, in order to provide theoretical support and policy reference for the healthy development of digital economy.

Advances in Economics and Management ResearchVol. 14(1)
Santa Monica College (US)
Openalex Percentile: Top 60%
Economic and Technological Developments in Russia
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.