Recent Research

Over the last decade, accelerators have spread from a Silicon Valley phenomenon to communities across the country. Questions, however, remain on their impact on startups and whether they aid in creating a strong startup ecosystem. In How Do Accelerators Impact High-Technology Ventures?, Sandy Yu from UC-Berkeley found that the accelerator process helps resolve uncertainty around company quality sooner than what is experienced by non-accelerator companies. Uncertainty regarding the startup’s idea is resolved quicker due in part to the feedback effects of the accelerator process.

Approximately 30.2 percent of NIH-funded research studies produce false positive results that make those studies not replicable by other researchers, according to a recent study from researchers at Queensland University of Technology (AU). The authors of the study contend that the reproducibility crisis is driven by “publish or perish” incentives to increase the quantity of their papers at the cost of quality. They contend this publish or perish mentality is most prevalent at large, established “parent” labs (those with 50 or more NIH-funded papers). In these labs, established researchers, young researchers, and students are under pressure to publish their work leading to methodological and other process mistakes that create false positives and reduce reproducibility.

The boost in federal R&D funds as a result of the 2009 stimulus package had a significant impact on local economic development, according to a new working paper from researchers at the University of Michigan. In “Local Fiscal Multiplier on R&D and Science Spending: Evidence from the American Recovery and Reinvestment Act” (ARRA), authors Yulia Chhabra, Margaret Levenstein, and Jason Owen-Smith look at changes in county-level employment in response to increased federal spending on R&D as a result of ARRA. The authors estimate causal effects of the ARRA R&D funding on local economic development, and find that, all else equal, every $1 million in new R&D spending due to the stimulus in a county led to 27 new jobs, with 25 of those being in the private sector. The authors estimate that the cost per each job-year was about $15,000, which is less than the reported costs of other types of federal stimulus programs.

The conclusion from the working paper, The Effects of Scientists and Engineers on Productivity and Earnings at the Establishment Where They Work, by Erling Barth, James C. Davis, Richard B. Freeman, and Andrew J. Wang, is pretty clear for manufacturers and policy advocates for improving U.S. manufacturing: firms should hire as many scientists and engineers as possible.  The research finds, Morgan Foy explains in an NBER Digest article, that occupational statistics reveal approximately 80 percent of people trained as scientists and engineers do not work in R&D jobs.  Filling a company’s payroll with as many of these people, regardless of their position, seems to pay off. The authors’ research concluded a 10 percent increase in the proportion of scientist and engineer employment within a manufacturing establishment was associated with a 4 percent increase in total factor productivity for the firm.

Congress so far has ignored administration budget requests that call for reducing U.S. investment in research and development.  Science and innovation advocates interpret the legislative branch’s decision as good for many reasons. Authors Nicholas Bloom, Charles I. Jones, John Van Reenen, and Michael Webb add another reason in their NBER working paper Are Ideas Getting Harder to Find? They find U.S. productivity, measured as cost per meaningful innovation across a number of key sectors, is decreasing at an average rate of 5.3 percent annually. Prevailing economic growth projections may be optimistic, they conclude, because the projections do not incorporate ever-increasing prices for R&D outcomes.

Several recent articles covered in the National Bureau of Economic Researchers (NBER) Digest suggest that current understanding of policies surrounding wages, clusters and labor concentration may warrant revisiting. In one piece of academic research, a historical argument of shared productivity gains with employees is challenged, while another article shows a loss of bargaining power for employees in concentrated labor markets.

Industry consolidation slowing wage growth, productivity

While the increasing gaps between the coasts and the heartland continues to capture the media’s attention, a collection of recent research suggests that inequality within regions may be the greatest factor hampering economic growth. Five recent articles tell a nuanced story of how economic and racial inequities may impede regional economic development efforts. The research presented here from a variety of outlets examines the role of inequality in the overall economy of regions.

For example, research in the Journal of Regional Studies examines how the Great Recession challenged the economic resilience of metropolitan areas and how income inequality worsened these impacts. A separate analysis by the Urban Institute finds that economically healthy cities are more likely to be inclusive.  In particular, older industrial cities struggle with issues stemming from inequality. Additionally, to complicate matters further, research from the Center for Economic and Policy Research finds inequality is likely worse than actually reported.

Economically healthy cities are more likely to be inclusive.

One of this year’s most important books on economic development tells a story that those involved in the field need to know and might not necessarily want to hear. In Coping with Adversity: Regional Economic Resilience and Public Policy, authors Harold Wolman, Howard Wial, Travis St. Clair, and Ned Hill seek to understand why some metropolitan areas are resilient in the face of economic hardship, while others are not. This commentary will summarize the authors’ findings and provide insight into what their findings might mean for the broader economic development community.

Last year, the National Institutes of Health (NIH) considered multiple strategies to address the implicit bias toward researchers with ‘proven track records’ during its existing grant making process. While previous research studies have found similar concerns about the current grant making process, two recent studies from the University of Cambridge propose that grant-making organizations consider implementing a lottery system to allocate grant awards to alleviate bias and improve outcomes.  

While conventional wisdom suggests that university entrepreneurship efforts should focus on faculty spinoffs or student inventions, recent research highlights the importance of student talent in entrepreneurial ecosystems. In an effort to create employment opportunities in the startup space, several universities throughout the country are implementing programs that embed students into their local startup communities.

An earlier SSTI analysis detailed the Bureau of Labor Statistics labor force participation projections, revealing a continuing downward trend in the number of workers despite a growing population. Additional research papers released in February from economists at the University of Maryland as well as the Kansas City Federal Reserve Bank explores the reasons behind the trend, finding that trade and robots have had a significant impact, and suggests that some prime-age workers may not be coming back.

In a working paper published in the National Bureau of Economic Research, Katharine G. Abraham and Melissa S. Kearney review evidence regarding the role of various factors to try to explain the falling employment rate among prime-age U.S. adults over the period 1999 to 2016. During that period, the overall employment-to-population ratio for those 16 and over fell by 4.5 percentage points.

Mentoring programs may be celebrated across the nation as January marks National Mentoring Month, a movement started in 2002 to raise awareness of mentoring in all its forms. But more could be done to make programs more effective in both university and non-university settings, according to a recent working paper from the Ross School of Business at the University of Michigan. Mentoring in Startup Ecosystems, by Jeffrey Sanchez-Burks, et al, found that mentoring is fundamental to founder education, but that such programs could be improved, especially at universities.