Food Systems, Nutrition Security, and Agriculture

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Detecting Food Shortages Using X

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.

Authors: NERCRD

Publication: NERCRD Digest Series Date Published: September 16, 2024

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Food Insufficiency and Anxiety

Researchers from the NERCRD and the Department of Agricultural Economics, Sociology and Education at Penn State University used Household Pulse Survey data from the U.S. Census Bureau to address questions about food insufficiency and mental health. Learn more in this NERCRD Digest.

Authors: NERCRD Staff

Publication: NERCRD Digest Date Published: September 5, 2024

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Determining the optimal food hub location in the fresh produce supply chain

Abstract

Purpose: Using recent US regional data associated with food system operations, this study aims at building optimization and econometric models to incorporate varying influential factors on food hub location decisions and generate effective facility location solutions.

Design/methodology/approach: Mathematical optimization and econometric models have been commonly used to identify hub location decisions, and each is associated with specific strengths to handle uncertainty. This paper develops an optimization model and a hurdle model of the US fresh produce sector to compare the hub location solutions between these two modeling approaches.

Findings: Econometric modeling and mathematical optimization are complementary approaches. While there is a divergence between the results of the optimization model and the econometric model, the optimization solution is largely confirmed by the econometric solution. A combination of the results of the two models might lead to improved decision-making.

Practical implications: This study suggests a future direction in which model development can move forward, for example, to explore and expose how to make the existing modeling techniques easier to use and more accessible to decision-makers.

Social implications: The models and results provide information that is currently limited and is useful to help inform sustainable decisions of various stakeholders interested in the development of regional food systems, regional infrastructure investment and operational strategies for food hubs.

Originality/value: This study sheds light on how the application of complementary modeling approaches improves the effectiveness of facility location solutions. This study offers new perspectives on elaborating key features to encompass facility location issues by applying interdisciplinary approaches.

Authors: Houtian Ge, Jing Yi, Stephan J. Goetz, Rebecca Cleary, Miguel I. Gómez

Publication: Journal of Modelling in Management Date Published: August 13, 2024

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Meeting Emergency Food Needs

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.

Authors: NERCRD Staff

Publication: NERCRD Digest Date Published: August 20, 2024

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Broadband access and agritourism operations in the United States

Abstract: An online presence is crucial for agritourism operators to connect with consumers. In this study, we use count data regression models to examine the correlation between average broadband speed adopted and the number of agritourism operations. We found that adoption of fast broadband in 2012 was associated with a significantly higher number of agritourism operations nationally in 2017, underscoring the role of broadband connectivity in facilitating interactions between farmers and consumers, as well as in promoting agritourism. However, only a weak association exists in rural counties, indicating that the broadband–agritourism relationship does not extend to less populated areas.

Authors: Claudia Schmidt, Luyi Han, Arian Moghadam, Stephan J. Goetz

Publication: Journal of the Agricultural and Applied Economics Association Date Published: June 17, 2024

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Direct-to-Consumer Sales of Agrifood Products by US Farms: Data from the 2022 Census of Agriculture

A new data brief by Jason S. Entsminger (University of Maine) and Claudia Schmidt (Penn State and NERCRD) provides a snapshot of the direct-to-consumer sales of agrifood products, and documents recent changes across the industry. The data brief, which was published by the Northeast Regional Center for Rural Development (NERCRD), is available below:

Authors: Jason S. Entsminger and Claudia Schmidt

Publication: NERCRD Data Brief Series Date Published: June 3, 2024

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Agritourism and Recreational Services on US Farms: Data from the 2022 Census of Agriculture

A new data brief by Jason S. Entsminger (University of Maine) and Claudia Schmidt (Penn State and NERCRD) provides a snapshot of the national agritourism landscape and documents recent changes across the industry. The data brief, which was published by the Northeast Regional Center for Rural Development (NERCRD), is available below:

Authors: Jason S. Entsminger and Claudia Schmidt

Publication: NERCRD Data Brief Series Date Published: May 7, 2024

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

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.

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

Publication: Presented at 2023 Agricultural and Applied Economics Association Meeting Date Published: July 23, 2023

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Impact of Broadband Access on Agritourism Operations in the United States

Agritourism is a growing sector that can provide opportunities for rural entrepreneurs and boost rural development in the US. Online presence is crucial for agritourism operators because they cater to consumers. In this study, we employ count data regression models to investigate the relationship between broadband adoption and the number of agritourism operations. Our analysis shows that access to fast broadband internet in 2012 significantly increased the number of agritourism operations in 2017, underscoring the pivotal role of broadband connectivity in facilitating farmer-consumer interactions.

Authors: Claudia Schmidt, Luyi Han, Arian Khaleghi Moghadam, Stephan J. Goetz

Publication: Presented at 2023 Agricultural and Applied Economics Association Meeting Date Published: July 22, 2023

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

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.

Authors: Yuxuan Pan, Linlin Fan, Stephan J. Goetz, Alexander Stevens

Publication: Presented at 2023 Agricultural and Applied Economics Association Meeting Date Published: July 23, 2023

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