By: Federico Moscatelli
How can this novel economic indicator help policymakers achieve the Sustainable Development Goals?
Complexity is an indicator that measures the levels of know-how embedded into innovation ecosystems. Ever since it’s conception in 2009, the complexity literature views economic development as a structural transformation process. Countries grow by transforming their productive structure from one dominated by low-tech, ubiquitous activities to a more advanced structure with rarer outputs.
Economic literature has found a strong relationship between complexity and economic performance. Not only are developed nations more diversified but they are also more complex. Vibrant innovation ecosystems can generate elaborate and unique technologies that lead to the creation of complex products.
Moreover, the effect of higher complexity goes beyond economic growth. In particular:
Overall, while the benefits of increasing complexity can be appealing, innovation policy must consider its side effects, particularly its spatial consequences. The continuous concentration of high skilled workers in the most complex cities will continue to drain resources from the peripheral regions. This is why it is important for these to identify the potential paths towards increasing complexity that many innovation economists aim to provide.
Women innovating, inventing, and creating face constant factors that impede their activities. What can economic research tell us about these and inform gender balance policies?
Investing in agricultural innovation is one key to achieving the SDGs. Find out why policymakers should continue to invest in agricultural R&D and create incentives and mechanisms for private sector participation.