Summary of Key Points
This article compares the transformation processes of two cities in the American Rust Belt—Pittsburgh and Cleveland—to debunk the myth that simply replicating Silicon Valley’s strategies will lead to success. It highlights that while many places attempt to create innovation ecosystems by accumulating quick-fix elements such as venture capital, incubators, and conferences, they often fail. The real drivers of urban transformation lie in slower, more fundamental factors like talent, infrastructure, and university research. The article also explores the reasons behind people’s obsession with these quick-fix solutions and emphasizes that the success of an innovation ecosystem depends on who is in charge and how it is managed. It warns that current global policies, including those in China, continue to overlook these underlying elements, urging a more patient approach to building a solid foundation.
I. Comparison of the Two Cities: Why Pittsburgh Outperformed Cleveland?
The two cities started out similarly, both located in the Rust Belt and suffering from the collapse of the steel industry in the 1980s, with billions of dollars invested in revitalization efforts. However, their outcomes were vastly different:
- Pittsburgh’s “unconventional approach”: Instead of relying on flashy incubators, Pittsburgh focused on long-term investments in slow-moving factors:
- Physical infrastructure: Building roads and an airport.
- Research infrastructure: Establishing a supercomputer center, the Software Engineering Institute (SEI), and a robotics research institute at CMU.
These investments were not short-sighted; they were part of a decades-long strategy to diversify the economy. Pittsburgh listened to the needs of local businesses, which identified a shortage of skilled workers and reliable infrastructure as key issues, rather than seeking tax cuts or cheap capital.
- Cleveland’s “smart mistake”: The revitalization plan was led by local manufacturing leaders with an emphasis on reviving the manufacturing sector, with diversification being a secondary goal. Although they established venture funds and research institutes, these efforts were ineffective:
- Venture capital could not find promising local projects and instead invested in companies outside the city, generating profits without benefiting the local economy.
Manufacturing-related initiatives either turned into consulting services or were abandoned altogether, resulting in no new pillar industries.
II. Why Do People Prefer Quick Fixes?
Despite the importance of slow-moving factors, why do many regions still prioritize conferences and incubators? The article identifies three rational but short-sighted reasons:
1. Mismatch between tenure and development cycles: Officials and business leaders typically serve for 3-5 years, while industrial clusters take 15-20 to grow. Investing in slow-moving factors (e.g., building research labs or reforming vocational education) yields results that may not be seen during their tenure, whereas quick fixes (e.g., hosting a tech conference) provide immediate media attention and performance metrics.
2. Visual biases about innovation: People often associate innovation with Silicon Valley’s image—modern offices, free coffee, and hackathons. Transforming old factories into co-working spaces may seem quicker, but training skilled workers takes years.
3. Pressure to attract investment: Local governments want to demonstrate their innovation capabilities. Slow-moving factors (e.g., talent reserves) are difficult to quantify in presentations, while high-profile conferences and large funds appear more effective. However, these often attract investors looking for short-term benefits, leaving behind empty industrial parks.
III. The Key to an Innovation Ecosystem: Who Leads and How?
Many regions have incubators and industry alliances, but why do they fail to be effective? The success of an ecosystem depends on its leaders and goals:
- Types of ecosystems: There are two main types:
- Enterprise-focused: These rely on tax incentives and are tied to specific companies, such as the Rochester area, which was heavily reliant on Kodak, Xerox, and Drucker Corporation. When these companies declined, the local economy stagnated.
- Community-focused: Led by governments, universities, and community foundations, these ecosystems focus on providing research, education, and infrastructure. For example, the North Carolina Triangle Research Park became a biotech hub without initially targeting any specific industry.
- Pittsburgh’s lesson: A business-led approach led to an overemphasis on traditional manufacturing, missing out on new opportunities. A collaborative effort involving government, universities, and businesses focused on community needs enabled Pittsburgh to embrace emerging industries like autonomous driving.
IV. The Hidden Value of Slow-Moving Factors
Slow-moving factors may seem cumbersome, but they create lasting advantages:
- Pittsburgh’s SEI: Established in 1984, it researched software engineering standards that seemed unimportant at the time. Thirty years later, these standards became essential for autonomous driving companies like Uber and Ford.
- Pittsburgh’s supercomputer center: It made it easier for small businesses to access advanced computing resources, lowering the barriers to entry in high-tech startups.
These “slow” investments are like fertile soil; without them, even the best resources (venture capital and talented companies) cannot thrive.
V. Avoiding the Same Mistakes
The article warns that countries around the world are making similar mistakes:
- China’s government-guided funds: Many regions follow the Hefei model, requiring funds to be reinvested locally. However, this often leads to the creation of shell companies or the relocation of unsuitable industries, without genuine industrial development.
- The U.S. Tech Hubs program: Congress planned to invest $10 billion in tech centers, but only 5% was allocated, and the money was distributed evenly across states, preventing clustering effects.
Final Advice
To build an innovation ecosystem, don’t mimic Silicon Valley’s superficial efforts (conferences, funds, star companies). Instead, assess your region’s slow-moving factors: Do you have universities that can train skilled workers? Are there public research facilities and reliable infrastructure? These are the real foundations of a strong economy. An exhibition economy does not equate to an innovative ecosystem, and mere investment figures do not indicate genuine industrial development. Patience is key; focus on building these underlying foundations, and the right fast-moving factors will follow naturally.