The study, published this month in Research Policy, is based on well-documented evidence that businesses acquire innovation-promoting information through interactions with other businesses outside of their own industry. These can be both their suppliers and other firms to which they sell products.
“We know that inter-industry exchanges foster cross-fertilization of ideas, or knowledge spillovers, which in turn seeds innovation,” said Goetz. “We wanted to explore these interactions more closely in order to better understand where the opportunities for innovation are greatest, including in rural and urbanized areas that are remote from cities.”
To examine industry transactions, Goetz and his co-author, Yicheol Han, a former postdoctoral scholar at the NERCRD and now at the Korea Rural Economic Institute, used data from the national Input-Output (I/O) table. The I/O table documents annual sales and purchases both across and within U.S. industries. Focusing specifically on 381 intermediate industries, they applied a mathematical formula to measure the diversity of each industry’s transactions with their customers and suppliers, both in terms of the number of different industries they interacted with, and how evenly their interactions were distributed across other industries.
They also incorporated geography into their measure in order to understand the effects that location has on innovation. They mapped the geographic location of the businesses within each of the 381 industries using county-level employment and business pattern data. Further, they included a measure of each county’s industrial makeup to capture the possibility of spillover-effects of inter-industry interactions that take place as a result of proximity.
This formula generated a “latent innovation index,” which assigns a score to each U.S. county based on the degree to which opportunities for latent innovation exist. The researchers validated the index by correlating the county-level scores with county-level income and job growth while controlling for other factors that influence these variables, such as a county’s starting employment, population density and share of the population with a college degree. They found that counties with higher innovation scores also had greater employment and income growth, even when they controlled for the number of patents held within a county. They also found that this type of innovation activity is present in both densely populated counties and sparsely populated, more rural counties.
“What these correlations suggest is that it’s not just patent-based innovation that brings economic benefits to businesses and communities, and innovation is not restricted to urban centers with large populations,” Goetz said. “This type of latent or hidden innovation is not recorded and tracked the way patents are, but it appears to be at least as important in terms of economic growth and it is happening in all types of places — rural and urban and in-between.”
This has important implications, Goetz said, because it refutes conventional wisdom that only big cities enjoy innovation.
“We often see media articles touting big cities as innovation centers, and our research brings a different perspective to the conversation,” he said. “Yes, places like Silicon Valley, Seattle and Boston are home to tech firms that are developing entirely new products and technologies. But at the same time many non-tech businesses also engage in innovative activity that is less obvious but nonetheless moving their industries forward and, more importantly, keeping them competitive.”
Goetz said that by understanding where and how this type of innovation is already happening, community leaders can foster it by providing venues to support the exchange of ideas among a variety of businesses. For example, they can host trade shows that encourage business interactions. They also can think more strategically about targeting industries for recruitment that complement local innovation spillovers based on existing industries. The latent innovation index is available on the NERCRD website.
The research was supported in part by the U.S. Department of Agriculture National Institute of Food and Agriculture (NIFA), and by the Penn State and NIFA Multistate/Regional Research Appropriations.