Publications

A collection of all publications authored or co-authored by Center staff and/or partners. This collection is a work in progress—if you don’t find a publication you’re looking for, please search for it, or email us at nercrd@psu.edu.

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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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Insights from the 2023 National Digital Equity Summit: A Report on the Role of Extension Programs

The Northeast Digital Equity Summit (NDES) convened educators and researchers from land-grant universities across the Northeast in a virtual setting on September 19, 2023. This report provides an overview of key sessions, definitions, takeaways, initiatives, and best practices discussed during the summit.

Authors: By Julie Slivka, Communications Manager, University of Maryland Extension and Marylanders Online Program

Publication: Published by NERCRD Date Published: August 22, 2024

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Cloud computing and rural globalization: Evidence for the U.S. nonfarm economy

Abstract: We use confidential firm-level data to examine the association between export intensity and subscription to cloud computer services – a technology that often requires very high-speed broadband. Our focus on rural nonfarm exports is motivated by the increasing concentration of manufacturing—the dominant export sector—in nonmetropolitan counties and the large public investment in extending high-speed broadband to underserved parts of the U.S. We find that cloud computing is associated with higher export intensity that is consistent with exporting activity placing new demands on IT-enabled functions such as order fulfillment and tracking, marketing, or document control.

Read a news release about this research here.

Authors: Luyi Han, Timothy Wojan, Stephan J. Goetz

Publication: Telecommunications Policy Date Published: June 15, 2024

The economic and social well-being of caregivers in the Northeast region

Introduction

This “Research Snapshot” shares findings on the social and economic impacts of caregiving and reveal some of the unique data points available in the “NER-Stat: Caregiving Survey” — a regional household survey that the North Central Regional Center for Rural Development (NCRCRD) conducted in collaboration with Northeast Regional Center for Rural Development (NERCRD), The Ohio State University and the National Farm Medicine Center. The survey was conducted in 2023 with 4,480 responses from the 13 states of the Northeast Region through a Qualtrics online panel. This publication provides insights into caregiver demographics, who is receiving care, the financial and personal impacts of caregiving, and the types of supports that caregivers seek. The dataset that this brief draws upon is also available online here: https://purr.purdue.edu/publications/4491/1

Caregiving is a common experience

  • More than four in five respondents (81%) have provided care at some point.
  • Over half of the sample (58%) have provided care in the last 12 months. Among these respondents:
    • 43% cared for children (ages 0 to 17 years old), 42% cared for adults (18 years and older), and 26% cared for children and adults. 
    • Among respondents caring for adults, about half of the adults cared for were over the age of 65. 
  • Caregiving is often a family affair: 
    • Individuals caring for children were most often the parent of that child (57%), followed by their grandparent (17%), and their aunt/uncle (17%). 
    • Those caring for adults were most often the child of that adult (33%), followed by their spouse/partner (26%), and their parent (18%).

Caregiver demographics

  • Among respondents who had provided care in the last 12 months, the majority identified as female (63%), were 43 years old on average, were white (62%) followed by Hispanic or Latino (27%) and Black or African American (26%). 
  • Most caregivers in this survey were employed (63%), followed by retired (12%) and unemployed/not working (10%). 
  • One third reported a household income of less than $50,000 (38%) or between $50,000 and $99,999 (35%) while a quarter reported a household income of $100,000 or more (25%). 
  • Geographically, respondents were split between living in a suburban area (37%), urban area (39%), and rural area (24%).

Health needs of children and adults needing care

The health care needs of children and adults being cared for are noticeably different, where 86% of adults cared for had a health condition compared to one-third (36%) of children.

  • Long-term health conditions, where the individual being cared for is not expected to (re)gain independence in the future, affected 57% of adults and 18% of children in care. 
    • 30% of adults and 58% of children in care had an emotional, behavioral, or mental health condition. 
    • 17% of adults requiring care had memory problems. 
    • 32% of children needing care had a learning disability. 
  • Short-term health conditions, where the individual being cared for is expected to (re)gain independence accounted for 28% of adults and 10% of children needing care. 
    • For adults, the most frequent short-term condition was physical (35%) while 12% of respondents reported short-term emotional, behavioral, or mental health conditions.
    • For children, short-term health needs were more often physical (18%) than they were emotional, behavioral, or mental health (14%) conditions.

Time and financial resources needed for caregiving

Caring for children requires more time than caring for adults.

  • One third (35%) of those caring for children either provide constant care or between 20 to 40 hours per week. A quarter (26%) of adult caregivers reported providing that level of care.

Over two-thirds of respondents caring for children or adults paid for some care. 

  • Among those who paid for care, 39% of those caring for children and 36% of those caring for adults spent more than $201 per week.

Intersection between caregiving and household finances

Caregiving is multidimensional and complex. Caregiving responsibilities often intersect with household needs and can impact the household’s finances. 

Respondents shared that caregiving affected their ability to perform their household responsibilities (50%) and their ability to perform paid work (48%).

  • To meet their caregiving responsibilities, respondents reported they or someone in their household made changes to:
    • Their employment (38%). 
    • Their living situation and/or the living situation of the person they care for (40%).
    • Their education (23%).
  • As a result of providing care, almost half of the respondents (41%) experienced financial difficulties. The difficulties most frequently reported include:
    • Taking on more debts (22%).
    • Missed or were late paying a bill (22%).
    • Borrowed money from friends or family (17%).
  • Within the last 12 months, two thirds (67%) of respondents had used social safety net programs. The most frequently used programs included:
    • Food assistance through SNAP (33%).
    • Medicaid (26%).
    • COVID-19 stimulus check (20%).

Varying impacts of caregiving on caregivers’ health and well-being

  • Caregiving is more likely to affect the caregivers’ mental and/or emotional health (47%) and social life (44%) than it was to impact physical health (33%). 
  • A quarter of respondents shared that caregiving worsened their mental and/or emotional health (25%) and their social life (27%).
  • Fewer respondents reported that caregiving improved their mental and/or emotional health (22%) and social life (17%).
  • The impact of caregiving on physical health was mixed, 14% reported their physical health is worse, and 19% said it is better.

Policies and programs to support caregivers

Respondents identified a variety of policies and programs that would better support their roles
as caregivers. 

  • Most respondents (87%) would like more help or information. Most frequently they asked for:
    • Information on how to keep people they care for safe (27%).
    • Financial compensation for caregiving (25%).
    • Caregiving activities (24%).
    • Managing challenging behavior (22%).
    • Help manage emotional or physical stress (19%).
  • To help respondents enter or return to the workforce:
    • About three quarters favored financial support (75%), paid leave/time off/sick time (70%), and flexible work hours (69%).
    • About half of survey participants favored information, referrals, or counselling to help caregivers (52%) and unpaid leave/time (43%).

About this Research

Suggested citation

Becot, F., Inwood, S., and Southard, E. (2024, July 10). The economic and social well-being of caregivers in the Northeast Region. Research Brief. Northeast Regional Center for Rural Development.
https://doi.org/10.22004/ag.econ.344226

Authors

Florence Becot, Penn State, florence.becot@psu.edu, Shoshanah Inwood, The Ohio State University, inwood.2@osu.edu, Emily Southard, Penn State, ems617@psu.edu.  

Methods and dataset

The survey conducted in 2023 with 4,480 responses from the 13 states of the Northeast Region through a Qualtrics online panel. The technical documentation, survey codebook, and the open access dataset are available for download here: doi:10.4231/TP7N-8B10.

NER-Stat: Caregiving Survey is the regional household survey that the North Central Regional Center for Rural Development (NCRCRD) conducted in collaboration with Northeast Regional Center for Rural Development (NERCRD), The Ohio State University and the National Farm Medicine Center. NCRCRD has also previously conducted the NCR-Stat: Caregiving survey in the North Central Region. All data gathered via the NER-Stat and the NCR-Stat Caregiving Surveys are available for those who want to use the data as a baseline for further research and extend the portfolio of already existing databases: NER-Stat: Caregiving Dataset and NCR-Stat: Caregiving Dataset.

Funding Acknowledgement

NERCRD receives core funds from the U.S. Department of Agriculture’s National Institute of Food and Agriculture (award #2022-51150-38139) as well as from Hatch/Multi-State Appropriations under Project #PEN04802 and Accession #7003365, the Northeastern Regional Association of State Agricultural Experiment Station Directors, and the Pennsylvania State University, College of Agricultural Sciences. Any opinions are solely those of the authors.

Authors: Florence Becot, Shoshanah Inwood, and Emily Southard

Publication: Published by NERCRD Date Published: July 10, 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

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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How export performance is mediated by innovation, owner characteristics, and location

Abstract: We investigate how innovation affects rural nonfarm exports, and thus the U.S. trade deficit. Previous European studies indicate a positive link between R&D expenditures, patented innovation, and exports, but no comparable U.S. firm-level research exists. Using data from the Longitudinal Firm Trade Transactions Database and Annual Business Survey, we examine the relationship between innovation and exports for the United States. Employing a two-stage selection model to address endogeneity concerns, our findings suggest a significant connection between innovation and export. The study contributes to understanding the pivotal role of rural nonfarm exports and highlights policy implications for both trade and rural innovation.

Authors: Luyi Han, Timothy R. Wojan, Zheng Tian, Stephan J. Goetz

Publication: Economics Letters Date Published: March 28, 2024

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Women farmers and community well-being under modeling uncertainty

This research examines the association between woman farmers and community well-being using U.S. county-level data and finds that a higher share of farms operated or owned by women in a county is associated with higher rates of new business formation, longer life expectancies, and lower poverty rates. Read a related news article here.

Authors: Claudia Schmidt, Steven C. Deller, Stephan J. Goetz

Publication: Applied Economic Perspectives and Policy Date Published: January 16, 2024

Testing biasedness of self-reported microbusiness innovation in the annual business survey

This study tests for potential bias in self-reported innovation due to the inclusion of a research and development (R&D) module that only microbusinesses (less than 10 employees) receive in the Annual Business Survey (ABS). Previous research found that respondents to combined innovation/R&D surveys reported innovation at lower rates than respondents to innovation-only surveys. A regression discontinuity design is used to test whether microbusinesses, which constitute a significant portion of U.S. firms with employees, are less likely to report innovation compared to other small businesses. In the vicinity of the 10-employee threshold, the study does not detect statistically significant biases for new-to-market and new-to-business product innovation. Statistical power analysis confirms the nonexistence of biases with a high power. Comparing the survey design of ABS to earlier combined innovation/R&D surveys provides valuable insights for the proposed integration of multiple Federal surveys into a single enterprise platform survey. The findings also have important implications for the accuracy and reliability of innovation data used as an input to policymaking and business development strategies in the United States.

Authors: Luyi Han, Zheng Tian, Timothy R. Wojan, and Stephan J. Goetz

Publication: Plos ONE Date Published: January 12, 2024

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Experimenting in the Cloud: The Digital Divide’s Impact on Innovation

This paper builds on a National Science Foundation working paper that identified a strong association between cloud use and various types of innovation but did not consider whether 1) cloud adoption is a reliable indicator of the innovation orientation of a firm, or 2) cloud adoption enables various types of innovation. The researchers estimate propensity score matching and endogenous treatment effect models to control for innovation orientation, producing evidence to test the second explanation. Findings support an enabling effect of the cloud on innovation providing concrete evidence of the adverse impact of the digital divide.

Authors: Luyi Han, Timothy R. Wojan, and Stephan J. Goetz

Publication: Telecommunications Policy Date Published: August 1, 2023

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