Digital Transformation and Firm Performance in Chinese Listed New-Energy Companies: The Potential Mediating Role of Dynamic Capability
This study finds no significant association between digital-transformation disclosure and return on equity among Chinese listed new-energy companies, nor does it support the mediating role of dynamic capabilities in this relationship.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
In the bustling world of modern business, companies are constantly told to "go digital." The promise is that by weaving computers, data, and smart software into their daily operations, a firm can become faster, smarter, and more profitable. This idea is particularly urgent in China's new-energy sector, a massive industry that builds solar panels, wind turbines, and batteries to power a greener future. For these companies, the pressure to modernize is intense, driven by government policies and fierce global competition. But a lingering question remains: does talking about digital change actually translate into real financial success? To answer this, researchers look at two main concepts. First is "digital transformation," which is the process of using technology to fundamentally change how a company works, not just buying a new computer. Second is "dynamic capability," which is a company's ability to sense changes in the market, grab new opportunities, and reorganize itself quickly to survive. The hope is that digital tools help a company build these capabilities, which in turn boost its profits.
A recent study set out to test this chain of events using a very specific and transparent method. The researcher, Zhe Zhang, focused on 74 Chinese companies listed on the stock market that are part of the new-energy industry. Instead of relying on expensive, private databases that only a few insiders can access, the study used only public information available to anyone. The researcher gathered annual reports from these 74 companies for every year between 2018 and 2025, creating a dataset of nearly 500 company-years. The core idea was to see if the amount of "digital language" in a company's annual report—words like "artificial intelligence," "big data," or "cloud computing"—could predict how well the company performed financially, measured by its return on equity. This metric, return on equity, is essentially a scorecard showing how much profit a company generates for every dollar of money shareholders have invested.
The researcher approached the annual reports like a careful archivist. They scanned the entire text of each document, from the management discussion to the fine print in the notes, counting how many times digital-related terms appeared. To ensure accuracy, they built a special filter to avoid mistakes; for instance, the word "5G" (referring to mobile networks) could easily be confused with "5GW" (a measure of power capacity), so the system was designed to ignore the latter. The study also constructed a score for "dynamic capability" using three standard financial numbers: how much the company spent on research, how fast its sales were growing, and how efficiently it used its assets. The goal was to see if writing about digital tools led to better capabilities, and if those better capabilities then led to higher profits.
The results, however, told a quiet and somewhat surprising story. When the researcher analyzed the data, looking at the relationship between the frequency of digital words and the company's profit score, they found no statistical link. In other words, companies that wrote more about digital transformation in their reports did not earn higher returns on equity than those that wrote less. The data showed that the connection was so weak it was indistinguishable from zero. This held true even when the researcher tried different ways of measuring the data, such as looking at the reports from the previous year to account for delays, or checking if the results changed for state-owned versus private companies. The only factors that consistently predicted profits were traditional business metrics like the size of the company and how much debt it carried.
The study also investigated whether the "dynamic capability" score acted as a bridge between digital talk and profits. The logic was that digital words might boost a company's ability to adapt, and that ability might then boost profits. While the study confirmed that a company's ability to adapt was indeed linked to its profits, it found no evidence that talking about digital tools actually improved that ability. The path from digital language to better performance was broken. The researcher concluded that simply filling an annual report with buzzwords about technology does not make a company more profitable. In this specific industry, during this specific time, the words on the page did not match the reality of the factory floor or the balance sheet.
This finding is important because it challenges a common assumption in business strategy. It suggests that for new-energy companies, the mere presence of digital language in public documents is not a reliable sign of success. The industry is currently navigating a difficult period of price wars and rapid changes, where profits are driven more by the cost of materials, the scale of production, and the management of debt than by the vocabulary used in a yearly report. The study does not say that digital technology is useless; rather, it says that writing about it is not the same as doing it. If a company wants to improve its financial performance, it must focus on the actual implementation of technology and the real restructuring of its business, not just on how it describes those efforts to the public. The research offers a clear, data-driven reminder that in the complex world of energy and finance, what a company says is often very different from what it achieves.
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