Tag: COVID-19

Detecting Food Shortages Using X

September 16, 2024

NERCRD researchers along with faculty from the Institute for Computational and Data Sciences (ICDS) in the College of Information Sciences and Technology at Penn State University and the Qatar Computing Research Institute at Hamad Bin Khalifa University in Qatar studied whether tweets posted on Twitter (now X) can be used to predict real-time food shortages during crises such as pandemics, wars, or natural disasters. Learn more in this NERCRD Digest.

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Meeting Emergency Food Needs

August 20, 2024

A study on the role of community food services during the COVID- 19 pandemic revealed that community food services, including food pantries and soup kitchens, were crucial in helping Americans meet their food needs, especially in the first five months of the pandemic. Learn more in this NERCRD Digest.

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Rural Tourism During COVID-19

August 20, 2024

The COVID-19 pandemic had a significant impact on U.S. tourism, but its effects were not uniform across the country. A study conducted by researchers from Penn State and West Virginia University reveals that some rural communities actually experienced employment gains in the leisure and hospitality sector during this period. Learn more in this NERCRD Digest.

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Household Hardship and Stimulus Payments during the Pandemic: Differences Across Ethnic Minorities in the United States

July 23, 2023

This study examines the impact of the American Rescue Plan Act (ARPA) Economic Impact Payments (EIP) on alleviating household hardship, primarily food insufficiency and expense difficulty, among ethnic groups in the United States during the COVID-19 pandemic. Using data from the Census Bureau’s Household Pulse Survey (HPS) from 2020-2022, the study investigates who received the payments and how they used them. The study employs quasi-difference-in-difference models to address the issue of non-repetitive samples in the HPS dataset. The findings suggest that Black, Hispanic, and Other Races individuals reported consistently higher probabilities of food insufficiency and expense difficulty compared to Whites and Asians. The study further reveals that individuals across all ethnic groups reported less food insufficiency or expense difficulty after the distribution of the ARPA EIP in March 2021. In addition, individuals of all ethnic minority groups who used EIP for saving had a larger decrease in the probability of food insufficiency compared with the corresponding change for Whites. The study highlights the importance of targeted stimulus policies to address distinct problems faced by different ethnic minority groups.

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The Impact of COVID-19 on Racial Inequality in Diet Quality

July 23, 2023

Although a large and growing literature has investigated the diet and nutrition disparities (see Kozlova, 2016; Allcott et al., 2019 for earlier work), little research has analyzed the impact of COVID-19 on racial/ethnic disparities in diet quality. We complement the existing literature by providing causal estimates of how COVID-19 impacted the racial gaps in diet quality and by examining the causes of racial gaps.

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Investing in Rural Recovery: Comprehensive Summary of National Rural Development Stakeholder Listening Sessions

February 27, 2023

This report summarizes results from the an initiative carried out by the Regional Rural Development Centers in 2021 and 2022 to identify investments needed to fill the gaps between rural communities’ assets and opportunities. These facilitated dialogues included four sessions conducted at the regional level focusing on issues of regional importance, and four national sessions on topics of widespread importance.

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The U.S. Recreation Economy: Data, COVID-19, and Implications for Extension

October 4, 2022

The breadth, depth, and speed of the economic collapse associated with the COVID-19 pandemic was unprecedented in economic history. No sector was hit harder than Leisure and Hospitality, which accounts for the economic core of tourism and recreation-based activity. Only recently has employment in this sector begun to show signs of recovery toward pre-pandemic levels. Here we document the importance of the Leisure and Hospitality sector to the economy and identify impacts from the pandemic and recovery, at both state and local (county) levels. Selected implications for Extension Services programming by Land- and Sea-Grant institutions are highlighted.

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Impacts of COVID-19 on Northeast Tourism and Recreation Economies

July 27, 2022

NERCRD COVID-19 Data Brief 22-02: This data brief characterizes tourism-related economic changes in the Northeast during the COVID-19 pandemic. Comparisons between rural and metro counties are highlighted, showing that different tourism and recreation economies experienced the pandemic’s effects differently too.

Download the data brief:

Data Supplement

Download detailed Northeast state-level data here.

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Impacts of COVID-19 on Northeast Economic Activity

July 27, 2022

NERCRD COVID-19 Data Brief 22-01: This brief is the first in a series to summarize the economic impacts of COVID-19 on Northeastern communities. In subsequent briefs, the series will highlight impacts in key industries and sectors.

Data Supplement

Download an excel spreadsheet providing GDP data at the regional and state level for the Northeast US, to accompany NERCRD Data Brief 22-01, “Impacts of COVID-19 on Northeast Economic Activity.”

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An early assessment of COVID-19’s impact on tourism in U.S. counties

June 16, 2022

We use county-level data to examine how the COVID-19 pandemic affected the tourism and hospitality sector, which was by far the most impacted of all sectors, focusing on employment and wage changes. Results support our hypothesis that rural counties experienced fewer negative impacts or even benefited from the COVID-19 pandemic in terms of job growth. We present maps showing the pandemic’s effects on leisure and hospitality (L&H) employment across the nation, identifying the communities both hardest hit and least impacted. A linear regression model is developed to explore independent factors that influenced the pandemic’s local impact. Results are robust across different measures of the key variable (rurality), including rural-urban continuum codes, distance from metropolitan areas, and population density. We also consider the impacts of social capital, income, and local economic diversification, among other factors. Our results suggest that remote, less-populated counties were more likely to experience stable employment in the L&H sector relative to pre-pandemic levels, and in some cases even experienced employment growth.

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