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They say who you know is as important as what you know. But University of Maine economist Todd Gabe has turned this slogan on its side. His research is based on the premise that what you do is a reflection of what you know. What you know is as important as how much you know. And all of this is as important as 鈥� and can dictate 鈥� where you are.

Knowledge isn鈥檛 just a factor that drives the economy, it is the economy, say Gabe and his colleagues in their recent 鈥�Knowledge in Cities鈥� study, released by the Federal Reserve Bank of New York and the Martin Prosperity Institute.

While many reports point to educational attainment as an indicator of a region鈥檚 economic activity, that鈥檚 only part of the picture. Gabe, whose recent work includes collaborations with creative economy guru Richard Florida鈥檚 think tank, argues that the types of knowledge people possess are as critical as the percentage of college graduates in a given area.

鈥淲ith the shifting economy, all you hear is, 鈥榊ou need a well-paying job. You need a college degree.鈥欌�� Gabe says. 鈥淭his goes beyond that. Maybe not all degrees and types of cognitive skills are created equally.鈥�

The median salary for a recent engineering graduate is about $25,000 more annually than that of a liberal arts major, according to an annual survey by UMaine鈥檚 Office of Institutional Studies. The skills a marine biologist needs to graduate are far different from those required by a fine arts major. And there are certain well-paying occupations 鈥� plumbing comes to mind 鈥� that don鈥檛 require a college degree at all.

To complicate things even further, two regions may have a comparable percentage of residents with college degrees, but those places may have very different strengths. There鈥檚 a reason why aspiring actors flock to Los Angeles or New York City and software geniuses move to Silicon Valley.

By using new occupational data 鈥� and redefining traditional measures of human capital 鈥� Gabe鈥檚 research on the knowledge economy is changing the way people view regional economic activity.

鈥淭odd Gabe is among the most facile people in the world in handling occupation data and relating that to regional economic outcomes,鈥� says Florida, director of the Martin Prosperity Institute at the University of Toronto and author of The Great Reset and The Rise of the Creative Class. 鈥淗is work is providing a serious, economic investigation into the value of occupations on economic output.鈥�

To give a clearer picture of how the skills of a region鈥檚 workforce affect economic development, Gabe and his colleagues Jaison Abel, Adrienne Ross and Kevin Stolarick created regional knowledge profiles in their 鈥淜nowledge in Cities鈥� report. There are Making Regions, such as the manufacturing hub of Detroit, Mich., and there are Teaching Regions, such as the college town of Athens, Ga. Portland, Maine, counts as a Thinking Region because people there have high knowledge about the arts, humanities, IT and commerce.

鈥淭his work gives regions an idea of the strength of their niche in the economy and how it contributes to productivity and economic activity,鈥� Gabe says.

Learning more about these knowledge clusters gives a richer, more detailed view of a region鈥檚 economic strengths and weaknesses. For example, it would seem like living in an area where there are a lot of doctors would be a boon to everyone who lived there. But from an economic standpoint, it may just be good for the doctors, Gabe says. Prosperity in the technology sector, on the other hand, tends to improve the overall economic outlook for a region, because 鈥� for example 鈥� the presence of computer programmers and IT specialists makes the people around them more productive.

Gabe鈥檚 interest in understanding the economic strengths of regions and how they contribute to productivity and economic activity springs from his research on the creative economy in the early to mid-2000s. Florida鈥檚 best-selling book, The Rise of the Creative Class, had just come out, creating buzz in Maine and nationally. Gabe conducted a few studies on the creative economy and that research evolved into his work on the knowledge economy, which caught Florida鈥檚 attention. Several years ago, Florida invited Gabe to give a presentation at the Martin Prosperity Institute.

鈥淎s an affiliate of the Martin Prosperity Institute, Todd brings a diverse set of research and interests and expertise that makes the institute鈥檚 work that much richer,鈥� Florida says.

Gabe then collaborated with MPI researchers on the 鈥淜nowledge in Cities鈥� article, which The Economist highlighted as one of the most interesting studies in September 2010. Gabe also recently completed a book chapter, 鈥淭he Value of Creativity,鈥� which will be published later this year in the Handbook of Creative Cities.

Gabe鈥檚 creative economy research led him to look at occupations 鈥� rather than industries 鈥� as an indicator of a person鈥檚 skills (it makes sense that a webmaster at a paper mill has more in common with a webmaster at a university than he or she does with others who fall under the 鈥渕anufacturing鈥� label). From there, the leap to 鈥渒nowledge areas鈥� 鈥� trying to identify which types of skills have a higher value in the market 鈥� wasn鈥檛 very big.

鈥淭he questions I鈥檓 asking haven鈥檛 changed,鈥� Gabe says, 鈥淚鈥檓 still searching for the keys to economic development.鈥�

At first, Gabe looked at the big picture: what impact does knowledge have on a person鈥檚 earnings? Then he started digging a little deeper to find out what impact knowledge had on the earnings of others, what he and his colleagues call the spillover effect.

鈥淣ow, I鈥檓 really interested in how these types of indicators affect geographic patterns of economic activity,鈥� Gabe says. 鈥淚s there clustering of various types of knowledge? And how can this be applied in a practical sense?鈥�

Though his research is helpful for individuals and policymakers, Gabe is interested in making the findings applicable to the business community.

He is currently researching the effects of population density on productivity through the lens of human capital 鈥� yet again looking at the data in a way nobody has before. He鈥檇 also like to come up with a way to see how the factors he鈥檚 researching today have affected economic growth over time.

鈥淚t would be really interesting to be able to go back in time and develop knowledge profiles and see how they affected growth,鈥� Gabe says. 鈥淭he occupations we have today are very different from the occupations we had 30 and 40 years ago. Even the way the jobs are done are different.鈥�