Based on the latest bibliometric research in the journal Nature, this study reveals the three-stage evolution of research on sustainable development of the global digital economy, the leading pattern of China, the United States, and the United Kingdom, and emerging issues in environmental governance, providing decision-making references for enterprises' digital and green transformation.
A recent study based on bibliometric analysis systematically reviews the evolution and future directions of global digital economy sustainability development. The study finds that the field has moved from early conceptual construction into emerging topics such as environmental governance, carbon emissions, and energy consumption, and predicts that the next phase will focus on the deep integration of the digital economy with green innovation and ecosystems. This trend holds important reference significance for global tech enterprises, investors, and policymakers.
Based on the latest bibliometric research, the number of papers on sustainable development of the global digital economy has surged in the past two years, with carbon emissions and energy becoming core issues. This article analyzes the impact of this research shift on business models, platform competition, and regulation, and points out that green digitalization will become key to economic competition in the next decade.
A recent bibliometric study has systematically mapped the evolutionary path of research on sustainable development in the global digital economy. The study identifies three major stages, core themes, and future directions, pointing out that carbon emission reduction and energy management are becoming the emerging cores of digital economy research, with the next frontier being green innovation and digital ecosystem integration.
Based on an in-depth analysis of bibliometric research from a Nature sub-journal, this study reveals three phases of explosive growth and five stages of evolution in global research on the sustainable development of the digital economy, identifies green integration as the next frontier, and offers key insights for business models, platform competition, and regulatory trends.
Yale University's Budget Lab new model shows that even if AI brings a productivity boom, the improvement in the U.S. fiscal deficit is limited because the tax system favors capital over labor. Analyze the impact of AI on tax structure, business models, and market landscape.
Under the disruptive impact of automation and artificial intelligence, Bangladesh's labor market is facing a structural crisis. Experts call for building a national consensus to promote coordinated reforms in education, industrial policy, and social security.
Analyze the economic impact of the US proposed 100% tariff on digital services tax, and explore its long-term consequences for the platform economy, international trade, and digital tax reform.
Polish industry achieved a net profit of 94.4 billion zlotys in 2025, with the strong performance driven by the deep transformation of production processes through digital technology. This article analyzes how Poland's industrial digitalization enhances competitiveness and explores its impact on the digital economy landscape in Central Europe.
Stanford economist Erik Brynjolfsson, in collaboration with ADP Research, analyzed salary data from 4.6 million U.S. workers, revealing the ongoing impact of generative AI on entry-level positions. The data shows that the employment rate of 22-25 year olds in high AI-exposure jobs has been declining at an average annual rate of 3.8%, while jobs with low AI exposure have grown by 2%. This trend has been widening since the launch of ChatGPT and cannot be explained by factors such as interest rates or excessive tech hiring. Brynjolfsson warns that AI is eliminating career "entry points," profoundly reshaping the structure of the labor market.
The Oxford Reuters Institute's 2026 Digital News Report shows that almost all online news growth comes from third-party platforms, with the 18-34 age group accelerating their shift to social media and video for news consumption. This trend has profound implications for platform business models, the advertising market, data value, and media regulation.
Former Ernst & Young partner Jeff Soar believes that AI will completely transform the tax industry. This article analyzes how AI reshapes the business model, competitive landscape, and data value of tax services, and discusses its profound impact on the digital economy.
Amid the industry discussion sparked by Publicis’s acquisition of LiveRamp, ad technology is shifting from emphasizing “neutrality” to emphasizing “transparency.” In the era of AI-driven ad delivery, data integration, and identity resolution, what truly determines a platform’s value is no longer just whether it is independent, but how data flows, how costs are allocated, and whether brands can clearly see the optimization logic. Starting from business models, platform competition, and regulatory trends, this article analyzes the long-term impact of this shift on the digital economy.
As AI enters the mainstream of enterprise procurement, consumer applications, and public discourse, brand trust is becoming a key variable affecting the speed of AI commercialization, user acceptance, and regulatory pressure.