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Insights and oversights: Behind the data on agritourism and direct sales in the United States

Abstract: Agritourism is growing worldwide as farmers and ranchers seek alternative sources of revenue, and consumer demand for agricultural experiences is on the rise. Understanding this sector is important for policymakers, researchers, agricultural service providers, and others seeking to support farm viability and rural entrepreneurship. However, in the U.S., this support is hampered by the lack of a clear definition and consistent, comprehensive means for measuring the agritourism sector. The best available data for the U.S. are from the quinquennial U.S. Department of Agriculture National Agricultural Statistics Service (USDA NASS)’s Census of Agriculture. However, the two questions used by the Census of Agriculture that relate to agritourism are worded in ways that limit a comprehensive understanding of the size and scope of the sector. To illustrate the limitations, we highlight cases from two U.S. states (Texas and Vermont), where different forms of agritourism are present. One such form, hunting, is included in the USDA’s economic assessments of agritourism; another, pick-your-own berries, is not. Along with tastings and purchases of locally grown products, this falls in the category of direct sales. The discrep­ancy can result in misrepresentation and misinter­pretation of the data in analyses and subsequent publications with distorted policy recommenda­tions related to agritourism. We discuss these cases alongside recommendations on how to more accurately measure, and support, agritourism development in the U.S.

Authors: Chadley R. Hollas, Claudia Schmidt, Zheng Tian, Stephan J. Goetz, and Lisa Chase

Publication: Journal of Agriculture, Food Systems, and Community Development Date Published: August 26, 2024

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Land-Grant University Capacity to Support Recreation Economies in National Forest Gateway Communities

This report was developed by Doug Arbogast, Rural Tourism Specialist, West Virginia University Extension Service, with support from the Extension Foundation, Regional Rural Development Centers (RRDCs), and the members of the National Extension Outdoor Recreation Working Group (NEORWG). It describes findings from an assessment conducted in 2024 of the capacity of Land Grant Universities to provide both Extension and research support for the development of recreation economies, and to determine the places in each RRDC region best positioned to deploy resources for program implementation.

Land-Grant University Capacity to Support Recreation EconomiesDownload

Authors: Doug Arbogast, West Virginia University

Publication: Published by Extension Foundation and NERCRD Date Published: September 20, 2024

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2023 National Extension Tourism Conference Proceedings

With administrative support from the Northeast Regional Center for Rural Development, the National Extension Tourism Network (NET) has published proceedings from its 2023 national conference, which took place in Milwaukee, WI, September 24-27, 2023.

Authors: Edited by: Lisa Chase, Natalie Chin, Douglas Arbogast, Gwynn Stewart, Ann Savage, Mercedes Fraser

Publication: Published by the National Extension Tourism Network Date Published: September 18, 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

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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:

Data-Brief_CoA2022_DTC-Sales_FINALDownload

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:

AgritourismDataBrief.May2024Download

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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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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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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