The recent growth in local food markets has resulted in various local food economic impact assessments. However, drawing overarching conclusions from these studies is difficult. Data collection is challenging, and the handful of studies with transparent and well-defined methodologies have generally used data and modeling techniques with narrow geographic and market scope. While these studies have found positive regional economic impacts, the impacts have been modest, and many economic aspects of local food systems remain unexamined. To address these issues, Michigan State University's Center for Regional Food Systems and the Union of Concerned Scientists' Food & Environment Program hosted a meeting among economists and local food researchers in order to synthesize and translate the findings of existing studies for local food practitioners and policy-makers. In this document, we briefly review the types of studies that have been conducted, identify criteria by which the effectiveness of studies can be evaluated, and discuss future research opportunities. The collective understanding of the relationship between local foods and economic development can be enhanced through improving data collection, undertaking studies on larger geographic scales that explicitly incorporate changes in diet, quantifying other economic attributes of local food systems in addition to the number of jobs, and forming a learning community to review and critique studies of the economic, social, and environmental benefits of local food systems.

The 2015 Farm to School Census reports that during the 2013–2014 school year there were over 5200 farm to school (FTS) programs in the USA that involved 39,000 schools and 24.1 million children. These FTS programs are intended, in part, to increase market access and therefore the viability of farms and ranches. Accordingly, the majority of FTS programs involve local food procurement directly from farmers, from non-traditional suppliers that market locally branded food products such as ‘food hubs’, or from traditional suppliers such distributors and food service management companies. Yet, there is reason to believe that transaction costs vary based on the supply chain that schools use to procure local food. Moreover, that the supply chain that schools use to procure local food has a relationship with school's expenditures on local food. We use the 2015 Farm to School Census to estimate the relationship between school district's local food expenditures per student and supply chain structure. We analyzed data using ordinary least squares regressions, controlling for the region of the USA, the type of local food products purchased, and other school-specific characteristics. Importantly, we find a negative and significant relationship between school district's non-milk local food expenditure per student, and purchases directly from the farm and from non-traditional suppliers. This implies that schools that purchase local food from traditional distributors are likely to have higher on average expenditures per student compared with schools that purchase local food directly from farmers or non-traditional distributors. Results point to the need for additional research in determining the efficacy of policies to support direct and non-traditional FTS marketing arrangements.

The difference in timing between water supply and urban water demand necessitates water storage. Existing reservoirs were designed based upon hydrologic data from a given historical period, and, given recent evidence for climatic change, may be insufficient to meet demand under future climate change scenarios. The focus of this study is to present a generally applicable methodology to assess the ability of existing storage to meet urban water demand under present and projected future climatic scenarios, and to determine the effectiveness of storage capacity expansions. Uncertainties in climatic forcing and projected demand scenarios are considered explicitly by the models. The reservoir system in San Diego, California is used as a case study. We find that the climate change scenarios will be more costly to the city than scenarios using historical hydrologic parameters. The magnitude of the expected costs and the optimal investment policy are sensitive to projected population growth and the accuracy to which our model can predict spills.

Online marketplaces could help direct-to-consumer (DTC) farms compete for customers making grocery purchases on the internet by reducing the search and transportation costs of in-person DTC transactions. While in-person DTC marketplaces have been conducive for metropolitan farms historically, we explore whether rural DTC farms, with distance-based challenges accessing customers, are more likely to have online platforms. We find that rural farms distant from metropolitan counties that are new to DTC marketing are 7% more likely to have online marketplaces than more experienced rural farms, while new metropolitan farms are less likely to have them.