Economic Development, Resilience, and Innovation

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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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Rural Broadband Investment Urgently Needed in the COVID-19 Crisis

NERCRD COVID-19 Issues Brief No. 2020-6 – Issued jointly with the Regional Rural Development. By S.J. Goetz, H.M. Stephens, S.J. Rocker, R. Welborn, S. Turner, D. Albrecht and M. Skidmore, April 28, 2020.

Authors: Stephan J. Goetz, Heather M. Stephens, Sarah J. Rocker, Rachel Welborn, Steven Turner, Don Albrecht, and Mark Skidmore

Publication: NERCRD COVID-19 Issues Brief Series Date Published: April 28, 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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Rural COVID-19 Cases Lag Urban Areas but Are Growing Much More Rapidly

NERCRD COVID-19 Issues Brief No. 2020-3: This brief examines data on COVID-19 cases by county type as of April 2020.

Authors: Stephan J. Goetz, Zheng Tian, Claudia Schmidt and Devon Meadowcroft

Publication: NERCRD COVID-19 Issues Brief Series Date Published: April 9, 2020

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COVID-19, Networks and Regional Science

NERCRD COVID-19 Issues Brief No. 2020-2: This brief explores network and regional science in the context of the early days of the COVID-19 pandemic. It also was published as an essay in the June 2020 newsletter of the North American Regional Science Council (NARSC).

Authors: Stephan J. Goetz

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

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Religiosity and Regional Resilience to Recession

Literature shows that religiosity can provide individual resilience to life shocks as well as regional resilience to disasters caused by natural hazards. Related work has examined the complicated links between religion and economic growth. Yet few, if any, studies examine the role of regional levels of religiosity on a region’s resilience to recession—or how quickly the employment rate returns to pre-recession levels (a common measure of resilience in the economics literature). As the recovery period of the Great Recession cools and economists warn of future economic downturns, all known variables that may be linked with regional resilience are worthy of exploration. Using survey results from the Gosling-Potter Internet Project and General Social Surveys, we applied logarithmic functions to pre- and post-Great Recession employment data for 2,836 U.S. counties. We found a modest and statistically significant association between religious belief and regional resilience to recession. Religiosity was the strongest of sixteen psychosocial variables that we examined in association with the speed of job recovery; despite having negative links with other economic variables. This has particular salience for more rural economies; policy implications are discussed.

Authors: Raphael E. Cuomo, Daniel B. Davis, Stephan J. Goetz, Josh D. Shapiro, Mary L. Walshok

Publication: Risk, Hazards, and Crisis in Public Policy Date Published: March 23, 2020

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Explaining the spatial variation in American life expectancy

Since 1980, average life expectancy in the United States has increased by roughly five years; however, in recent years it has been declining. At the same time, spatial variation in life expectancy has been growing. To explore reasons for this trend, some researchers have focused on morbidity factors, while others have focused on how mortality trends differ by personal characteristics. However, the effect community characteristics may play in expanding the spatial heterogeneity has not yet been fully explored. Using a spatial Durbin error model, we explore how community and demographic factors influence county-level life expectancy in 2014, controlling for life expectancy in 1980 and migration over time, and analyzing men and women separately. We find that community characteristics are important in determining life expectancy and that there may be a role for policy makers in addressing factors that are associated with lower life expectancy in some regions.

Authors: Elizabeth A. Dobis, Heather M. Stephens, Mark Skidmore, Stephan J. Goetz

Publication: Social Science & Medicine Date Published: February 1, 2020

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The Role of Craft Breweries in Expanding (Local) Hop Production

Hop production has expanded dramatically in recent years along with the number of local craft breweries, but to date the relationship between these two phenomena has not been explored systematically. Using a state-level pooled count data model with observations from 2007, 2012, and 2017, we examine the independent lagged effects of breweries on the number of hop farms and acres grown, holding constant fixed effects and key economic and geographic factors. Our results confirm that the number of breweries is associated with more hop production (farms and acres) five years later, while warmer temperatures and higher land prices discourage it. (JEL Classifications: L66, Q11, R30)

Authors: Elizabeth A Dobis, Neil Reid, Claudia Schmidt, Stephan J Goetz

Publication: Journal of Wine Economics Date Published: October 22, 2019

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