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The impact of external knowledge sourcing on innovation outcomes in rural and urban businesses in the U.S.

A summary of “The impact of external knowledge sourcing on innovation outcomes in rural and urban businesses in the U.S.,” by Kathryn R. Dotzel and Alessandra Faggian. Published in Growth and Change, 2019; 50: 515– 547. https://doi.org/10.1111/grow.12289. This brief was published on June 29, 2020.

Key Takeaways

  • This study explored the relationship between innovation and knowledge management–the formation of structures that allow businesses to acquire and integrate new knowledge. The specific focus was on external knowledge sourcing–which outside sources firms target for information that supports the development of new and improved products and production processes.
  • For both rural and urban businesses, sources of information characterized by strong ties and high degrees of trust (“primary” sources) had larger positive impacts on most considered innovation outcomes (compared to “secondary” sources).
  • When primary knowledge sources were distinguished by industry orientation relative to the business, sources with knowledge bases outside of the business’s industry (“extra-industry” primary sources) had stronger positive relationships with the majority of considered innovation outcomes for rural businesses. Urban businesses, however, seemed to derive relatively equal benefits to innovation from relationships with their extra-industry and “intra-industry” primary sources–those with knowledge bases within the same industry.

Authors: Kristen Devlin and Stephan J. Goetz

Publication: NERCRD Innovation Issues Brief Series Date Published: June 29, 2020

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Sources of inspiration matter to business innovation outcomes

A summary of “Sources of innovation and innovation type: firm-level evidence from the United States,” by Mehmet Afik Demircioglu, David B. Audretsch, and Timothy F. Slaper. Published in Industrial and Corporate Change, 2019, 1-15, https://doi.org/10.1093/icc/dtz010. This brief was published on June 29, 2020.

Key Takeaways

  • Businesses tap different sources of knowledge and creativity to drive their innovation activities. Different innovation outcomes are associated with different sources of knowledge.
  • Customers, workers, and universities are sources of knowledge positively associated with all types of innovation activity.
  • Universities had the statistically strongest effect, suggesting that they are critical to innovation.

Authors: Kristen Devlin and Stephan J. Goetz

Publication: NERCRD Innovation Issues Brief Series Date Published: June 29, 2020

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Google Searches Reveal Changing Consumer Food Sourcing in the COVID-19 Pandemic

In this commentary published in 2021, we examine how consumer interest changed since the advent of the pandemic, by observing Google search trends.

Authors: Claudia Schmidt, Stephan J. Goetz, Sarah Rocker, Zheng Tian

Publication: Journal of Agriculture, Food Systems, and Community Development Date Published: May 21, 2020

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Americans’ Food Spending Patterns Explain Devastating Impact of COVID-19 Lockdowns on Agriculture

The U.S. Department of Agriculture Economic Research Service’s Food Expenditures by Outlet data provide insight as to why the lockdowns related to COVID-19 have been so devastating for U.S. farmers.

Authors: Stephan J. Goetz, Claudia Schmidt, Lisa Chase, Jane Kolodinsky

Publication: Journal of Food Systems, Agriculture, and Community Development Date Published: May 21, 2020

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In the Mid-Atlantic Fruit and Vegetable Industry, Market Workers and Local Specialized Freight Truckers May be at Greatest Risk

NERCRD COVID-19 Issues Brief No. 2020-10: This data brief was released during the COVID-19 pandemic and examined data relating to the Mid-Atlantic Fruit and Vegetable Industry during that time.

Authors: Stephan J. Goetz, Devon Meadowcroft, Claudia Schmidt, Prasanjit Mitra and Francesco Di Gioia

Publication: NERCRD COVID-19 Issues Brief Series Date Published: May 12, 2020

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Nonmetro COVID-19 Case Growth Higher in Metro-Adjacent Counties, but Case-Fatality Ratio is Lower so Far

NERCRD COVID-19 Issues Brief No. 2020-8: This brief, published in May 2020, offered a snapshot of COVID-19 cases by county type.

Authors: Zheng Tian, Stephan J. Goetz, L. Goetz-Weiss

Publication: NERCRD COVID-19 Issues Brief Series Date Published: May 5, 2020

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Google Searches Predict Initial Unemployment Insurance Claims

NERCRD COVID-19 Issues Brief No. 2020-5: The COVID-19 pandemic produced historically unprecedented numbers of layoffs, leading to surges in the number of unemployment filings: over 26 million Americans have filed claims for unemployment benefits (New York Times, 4/23/2020). In this brief we show how Google Trends searches predated or anticipated these filings, and how they were propagated across the different states as the coronavirus took its toll.

Authors: Zheng Tian and Stephan J. Goetz

Publication: NERCRD COVID-19 Issues Brief Series Date Published: May 1, 2020

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Brief: Americans’ Food Spending Patterns Explain Devastating Impact of COVID-19 Lockdowns on Agriculture

NERCRD COVID-19 Issues Brief No. 2020-9. This brief is also published as a commentary in the Journal of Agriculture, Food Systems and Community Development.

Authors: Stephan J. Goetz, Claudia Schmidt, Lisa Chase and Jane Kolodinsky

Publication: NERCRD COVID-19 Issues Brief Series Date Published: May 1, 2020

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Small and Minority Farmers’ Knowledge and Resource Sharing Networks, and Farm Sales: Findings from Communities in Tennessee, Maryland, and Delaware

A network analysis can quantify the depth and breadth of a farmer’s relationships with other local farmers, buyers and sellers, or other groups and organizations. Such an analysis can potentially also reveal farmers’ incentives, situations, and behaviors, and it may explain their economic success more generally. This study examines small and minority farmers’ networks using a primary survey in three farming communities. We emphasize networks related to production, marketing, and resource-sharing activities of 127 farmers (nodes) in Tennessee, 46 in Maryland, and 23 in Delaware, and compute three different measures of network importance or “centrality” for each farmer. We then use generalized least squares analysis relating farmer’s age, gender, race, educational attainment, labor use on the farm, and farm location to the farmer’s centrality position or importance in the network, defined by number and strength of links or connections. In additional regression analyses, we find significantly positive effects of the centrality position on farm sales of specialty crops: our model predicts that a farmer who adds one additional link or connection can expect a 19% to 25% increase in sales, all else equal. Our results can potentially be used not only to disseminate information more efficiently, but also to identify farm­ers who would benefit the most from more targeted extension services.

Authors: Aditya R. Khanal, Fisseha Tegegne, Stephan J. Goetz, Lan Li, Yicheol Han, Stephan Tubene, Andy Wetherill

Publication: Journal of Agriculture, Food Systems, and Community Development Date Published: April 17, 2020

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Social Capital May Increase Social Distancing

NERCRD COVID-19 Issues Brief No. 2020-4. This brief examines whether a community’s level of “social capital” may predict or be associated with greater adherence to social distancing requirements within U.S. counties during the height of the COVID-19 pandemic.

Authors: Stephan J. Goetz

Publication: NERCRD COVID-19 Issues Brief Series Date Published: April 15, 2020

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