Can We Trust Their Innovation? Industrial Policy, Takeover Incentives, and Innovation Redirection in Non-Targeted Firms

Governments often try to steer the economy by picking specific industries to support, offering subsidies and tax breaks to companies that work in those fields. The idea is that by making these sectors more profitable, private companies will naturally invest more in research and development to create new technologies. This strategy relies on the assumption that businesses will innovate because they see a genuine opportunity to build better products. However, economists have long wondered if this pressure changes how companies innovate, or if it simply changes where they pretend to innovate. When the rules of the game shift, do companies genuinely adapt their research to solve new problems, or do they simply rearrange their existing work to look like they are solving the right problems, hoping to catch a government reward or attract a buyer?

A new study by Xu Lu at Renmin University of China investigates this question by looking at a massive industrial plan launched in China called "Made in China 2025." This initiative, announced in 2015, identified ten high-tech sectors, such as robotics and new energy vehicles, as national priorities. The government signaled that companies in these fields would receive significant support. The researcher wanted to see what happened to the thousands of companies that were not in these priority sectors. Did they stay focused on their own industries, or did they suddenly start claiming to work on the government's favorite technologies? By treating the policy launch as a natural experiment, the study tracks how these non-targeted companies changed their patent applications before and after 2015 to see if they were genuinely innovating or just dressing up their portfolios.

The findings reveal a surprising and opportunistic shift. After the policy was announced, companies outside the priority sectors did not ignore the new direction; instead, they aggressively reoriented their research. The data shows that these firms nearly tripled their applications for patents related to the government's favored technologies. Before the policy, these companies filed an average of about 3.3 such patents per year. Afterward, that number jumped to 10.2. This was not a small adjustment; it represented a massive reallocation of effort away from their core businesses and toward the sectors the government was paying attention to. The study suggests this was not driven by a sudden desire to help the nation, but by a calculated strategy to make these companies look more attractive to potential buyers.

The logic behind this behavior is rooted in how the stock market and government interact. When the government champions a specific industry, investors pour money into those companies, driving up their stock prices. Companies outside that circle are left looking less valuable by comparison. However, if a non-targeted company can show it is working on the government's favorite technologies, it can trick the market into thinking it belongs in that high-value group. This "window dressing" makes the company a cheaper and more attractive target for a takeover. The study found strong evidence for this motive: after these companies filed their new, policy-aligned patents, their top shareholders often sold off their stock, and the companies themselves became much more likely to be acquired by other firms. It appears the innovation was a signal to the market, a way to dress up the company for a sale rather than a genuine leap in technological capability.

There was a second, political force at work as well. In China, local government officials are often promoted based on how well their regions perform on specific economic targets. When the central government set the "Made in China 2025" goals, these became implicit targets for local leaders. The study found that in cities where local officials cared deeply about meeting these national targets, the pressure on local companies to redirect their innovation was strongest. The researchers used advanced artificial intelligence to analyze government reports and measure how much emphasis local leaders placed on the policy. They discovered that the more a local official prioritized the plan, the more likely the local companies were to shift their patents. Furthermore, the study linked this surge in redirected patents directly to the career advancement of the mayors in those cities, suggesting that local leaders were actively steering companies to produce the right kind of innovation to boost their own resumes.

However, this redirection came with a cost to the quality of the innovation itself. While the companies were filing more patents in the right categories, the work was not as good as it seemed. The study found that these redirected patents took significantly longer to get approved by patent offices, suggesting they were more difficult to justify or less clear-cut than standard applications. More importantly, once granted, these patents received far fewer citations from other scientists and companies, which is a standard measure of how influential or useful an invention is. The research indicates that the patents were often filed by companies in financial trouble or those with weak internal governance, further supporting the idea that this was a desperate or opportunistic move rather than a sign of genuine technological strength.

The study also uncovered a distorted reward system. While the government intended to support the targeted industries, it ended up giving disproportionately large subsidies to the non-targeted companies that successfully faked their way into the sector. The companies that were originally in the priority fields saw their marginal rewards for new patents drop, while the outsiders who pivoted their work received a windfall. This suggests that the policy incentives were so strong that they encouraged companies to abandon their actual strengths to chase government money, creating a situation where the government was paying for innovation that was politically useful but economically inefficient.

Ultimately, the paper paints a picture of a system where the desire for political promotion and corporate acquisition can override the drive for genuine discovery. The "Made in China 2025" initiative succeeded in getting companies to talk about the right technologies, but it did so by encouraging a form of strategic deception. The innovation that emerged was real in the sense that it existed on paper and in patent offices, but it was often a hollow shell, designed to satisfy a checklist rather than to solve a problem. The research serves as a cautionary tale for policymakers everywhere: when you set a target, you may get the numbers you asked for, but you might not get the progress you hoped for, because companies will find the easiest way to meet the requirement, even if it means pretending to be something they are not.