Remapping the Global Digital Economy Research Landscape: A Bibliometric Perspective on Green Transition and Ecological Integration

Global Digital Economy Research Landscape Update: Green Turn and Ecological Integration from a Bibliometric Perspective

Introduction: A bibliometric study recently published in Humanities and Social Sciences Communications systematically maps the evolutionary path of global research on sustainable development of the digital economy. The study shows that this field has gone through three stages and is currently focusing on environmental governance issues such as carbon emission reduction and energy consumption. The next wave of research frontiers will revolve around the digital economy, green innovation, and ecosystem integration. This conclusion provides an important reference for policymakers and corporate decision-makers: the yardstick for measuring the value of the digital economy is shifting from "efficiency" to "sustainability."

Event Background: When Academic Research Meets the Digital Economy

This study employs bibliometric methods to systematically analyze academic literature related to the sustainable development of the global digital economy. Bibliometrics is a method that reveals research trajectories through quantitative statistical analysis of academic literature and is widely used to assess disciplinary development dynamics. The study covers core digital economy themes, including digital transformation, sustainable development, and carbon emissions.

The concept of the digital economy was first proposed by Don Tapscott in 1996, and the U.S. Department of Commerce officially used the term "digital economy" in 1998. According to the G20 initiative's definition, the digital economy is the sum of economic activities that use digital knowledge and information as key production factors, modern information networks as important carriers, and information and communication technology as the core driver of efficiency improvement and structural optimization. Today, the digital economy has become a dominant economic form alongside agricultural and industrial economies, with many countries incorporating it into their national strategies, such as the EU's "Digital Compass 2030" plan.

This study attempts to draw the academic map of this grand field. By analyzing characteristics such as keywords, authors, and country collaborations in academic literature, the study identifies a three-stage evolution in research on sustainable development of the digital economy: an initial stable period, an acceleration period, and a surge period in the past two years. Geographically, China, the United States, and the United Kingdom lead in research output, with the closest collaboration occurring between China and the United States.

Digital Economy Analysis: From Concepts to Environmental Governance, the Research Focus Is Shifting

The study points out that "digital economy," "digital transformation," and "sustainable development" are core research themes in the field. Notably, a cluster on environmental governance is growing significantly, with a focus on carbon emissions and energy consumption. This indicates that digital economy research has shifted from conceptual theoretical discussions to applied research on solving real-world problems.This shift is underpinned by profound industrial logic. Over the past two decades, the growth of the digital economy has relied mainly on the expansion of user bases and increases in data traffic. As global internet penetration peaks, sustaining growth through traffic dividends alone has become increasingly difficult. At the same time, the climate crisis has pushed environmental performance to the core of business decisions. The attention that digital economy research pays to environmental governance reflects the industry's urgent need to address the proposition of "how digital technologies can reduce carbon footprints."

In fact, digital technology itself is a double-edged sword: data centers' share of global electricity demand has risen year by year, yet digital technology has also empowered carbon-reduction scenarios such as smart energy and intelligent transportation. Studies show that the latest research in this field is tilting toward environmental governance, indicating that academia has begun to systematically assess the "dual role" of the digital economy. This assessment will provide methodological support for the industry, helping companies manage environmental risks while expanding their digital businesses.

Business Model Observation: Carbon Data Will Become a New Asset for Digital Platforms

The prominence of the environmental governance research cluster suggests that a new business model is taking shape: using carbon data as a core asset. Traditionally, the most valuable assets of digital platforms have been user data and behavioral insights. In the future, however, carbon emission data from corporate production and operations, as well as supply chain energy consumption data, may become strategic resources as important as financial data.

We are already seeing cloud service providers embedding carbon accounting tools into their infrastructure, allowing companies to monitor their own carbon footprints without having to build systems from scratch. At the same time, financial institutions are exploring the integration of real-time energy consumption data into risk assessment models to cope with climate regulatory pressure. This trend may lead to the rise of "green data as a service"—platforms provide companies with carbon emission monitoring, benchmarking, and optimization recommendations through APIs, charging on a subscription or usage basis.

Research predicts that the next frontier will be the integration of the digital economy with green initiatives and innovation activities. This means that carbon management will not remain a mere compliance burden, but may become a new profit center. For example, through data-driven circular economy models, companies can track the environmental costs of products across their entire lifecycles and convert data from the recycling stage into tradable commodities. Digital platforms will evolve from "connectors" to "exchanges for green value."

Of course, this process still faces challenges such as the lack of data standards and inconsistent accounting methods. The emerging academic cluster is precisely aimed at establishing a methodological foundation. For pioneering companies, building carbon data capabilities early will hopefully enable them to occupy the position of standard-setters in the future market.

Market Competition Analysis: Global Research Landscape Mirrors the Competitive Map of the Digital Economy

In terms of research activity at the national level, China, the United States, and the United Kingdom are in leading positions, with close cooperative ties between China and the United States. This pattern largely corresponds to the industrial landscape of the global digital economy: the United States holds advantages in software, AI, and cloud infrastructure, China leads in e-commerce, mobile payments, and manufacturing digitalization, and the United Kingdom, as Europe's digital hub, has distinctive strengths in fintech and data governance.However, the depth of academic collaboration does not equal a easing of commercial competition. On the contrary, global competition in the digital economy is extending from a "technology race" to a "standards race." For instance, the European Union sets rules through the Digital Markets Act and the Artificial Intelligence Act, the United States drives technological innovation through market forces, and China focuses on application scale and supply chain integrity. The building of a "digital ecosystem," as noted in the study, means that future competition will revolve around the entire innovation ecosystem rather than breakthroughs in individual technologies.

The study also reveals a subtle signal: the close academic collaboration between China and the United States stands in contrast to the decoupling trend between the two countries in the industrial sphere. The frontier consensus in academia may become the foundation for future international cooperation. For multinational enterprises, this means they must simultaneously navigate the "globalization of technology" and the "localization of regulation," meeting different markets' requirements on data, environment, and competition while maintaining innovation efficiency.

Data and Regulatory Implications: Carbon Data Compliance Will Become the New Frontier of Digital Regulation

As environmental governance moves to the core of digital economy research, data will play an increasingly critical role in carbon emission monitoring and reporting. Regulators in many countries have begun requiring large enterprises to disclose greenhouse gas emission data across their value chains. However, many enterprises still rely on estimates for such disclosures, lacking real-time and verifiable data. Digital technologies, especially the Internet of Things, AI, and blockchain, offer the technical potential for credible carbon data.

Research trends suggest that future digital regulation may incorporate "environmental data governance" as an important topic. This means that enterprises will not only need to comply with data privacy and antitrust rules, but also ensure the authenticity, completeness, and interoperability of their carbon emission data. This will raise higher requirements for data structures, interfaces, and audit mechanisms. At the same time, cross-border data flow rules will intersect with carbon data sharing. For example, the European Union's Carbon Border Adjustment Mechanism (CBAM) requires importers to report the carbon content of products, which involves cross-border data transmission. How to balance data sovereignty and decarbonization cooperation will be a difficult challenge for regulators.

For digital economy enterprises, proactively building a carbon data system that meets regulatory expectations is both risk management and a competitive barrier. Platforms that integrate data governance with environmental compliance will be more favored by customers and investors.

Global Trend Observation: The "Sustainability Turn" of the Digital Economy Is a Long-Term Structural Trend

The study identifies a five-stage evolutionary trajectory in digital economy research, ultimately pointing to a mature form of "digital ecology." From early explorations of the concept of the digital economy to today's focus on sustainable development, carbon emissions, and energy systems, this evolution shows that the digital economy has transformed from a localized tool into the underlying infrastructure for global economic operation.We believe this is a long-term trend, not a short-term fad. Three major factors are driving this shift: first, global carbon neutrality targets impose binding constraints that will profoundly affect the direction of digital investment across all industries; second, the maturation of artificial intelligence and IoT technologies makes high-precision, low-cost carbon data collection possible; third, capital markets' attention to ESG is redefining corporate valuation systems. Therefore, the deep integration of the digital economy and the green economy is not merely an academic prediction but a foreseeable economic reality.

For governments, this means that digital strategies and climate strategies need to be planned in a coordinated manner. The research reminds us that the leaders of the next phase will be those countries and regions that can combine digital innovation, green initiatives, and ecological development. The digital economy is no longer just about "faster, cheaper," but about "greener, more sustainable."

DigitalEcoNews Insight

This bibliometric study provides a clear "knowledge map." Although it examines academic literature, the patterns it reveals have direct implications for business and policy: the research focus of the digital economy is shifting from "growth" to "sustainable growth," and carbon and energy are becoming core variables of the digital economy.

From the perspective of corporate business models, carbon data will move from compliance reporting to value creation. Platforms that take the lead in building carbon data infrastructure will gain an advantage in future competition and may even become essential components of enterprise operations, much like cloud services today. From the regulatory trend perspective, environmental data governance will be upgraded in tandem with digital regulation, and multinational corporations need to anticipate and adapt to this new normal.

More importantly, this trend means that in the next decade of the digital economy, the criteria for success will no longer be just user numbers, revenue, or market value, but also contributions to global climate goals. The integration of digital technology and green goals will give birth to new industrial ecosystems and reshape the global competitive landscape. Policymakers, entrepreneurs, and investors should all recalibrate their "navigation systems"—because the map of the digital economy has quietly changed.

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