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Consistent and reliable data on farmland values is critical to assessing the overall financial health of agricultural producers. However, little is known about the idiosyncrasies and similarities of standard land value data sources – US Department of Agriculture (USDA), Federal Reserve Bank land value surveys, and transaction prices. The purpose of this paper is to determine the differences and similarities of land value movements from three land value data sources.

In addition to Oklahoma transaction prices, two survey sources are considered: the USDA annual report and the quarterly Tenth District Survey of Agricultural Credit Conditions administered by the Federal Reserve Bank of Kansas City. The paper describes each data set and identifies differences in data sampling, collection, and reporting. Average values of Oklahoma farmland across data sources are examined. USDA estimates are regressed against quarterly Federal Reserve values across multiple states to determine the point in time represented by USDA estimates. Granger causality tests determine if Federal Reserve land value estimates anticipate movements in USDA land value estimates.

It is found that all three data sources are highly correlated, but transaction prices tend to be higher, especially for irrigated cropland and ranchland. USDA land values are reported as representing land values on January first, but instead they more closely represent first and second quarter land values according to a multi‐state comparison to changes in quarterly Federal Reserve land values. Given the finding that first quarter Federal Reserve Bank land values lead USDA land values and that they are published before the USDA release, Federal Reserve land values are a timely indicator of agricultural producers' financial position.

No previous research has addressed the topic of how various sources of agricultural land values compare.

This study aims to examine the effect of maternal food intake before and during pregnancy on birth weight.

As a prospective cohort study, a total of 585 pregnant women of first trimester, visiting Tehran Metropolitan Area public health centers and private sectors (clinics and hospitals), were interviewed at first phase, and pregestational dietary intake was obtained by a 168-item semiquantitative food frequency questionnaire. At the third trimester, dietary recalls were collected via interview. Finally, birth weight information was extracted from health records. Univariate and multivariate analysis was used to explore the effect of maternal and nutritional factors on birth weight.

The results of the analysis show that direct measures of nutrition, measured as food group consumption at first and third trimester of pregnancy, had no significant effect on birth weight once the confounding factors were controlled (p > 0.05). Of control variables included in the analysis, twin pregnancy outcome (p = 0.000), pregnancy number (p = 0.04), prepregnancy weight (p = 0.004) (marginally significant) and gestational age (p = 0.000) (marginally significant) were associated with birth weight.

The results of this study show no significant role of mother’s nutrition during pregnancy on birth weight, while long-term nutrition outcomes such as prepregnancy weight had significant role. It seems the main reasons behind less important role of pregnancy nutrition on birth weight in this study include the following: food intake deficiency is not a major problem for participants, and cross-sectional data on food intake are less important on outcome of pregnancy weight than long-term nutritional status outcome variables such as mother’s weight and height. This finding should be addressed in public health planning for women at childbearing age.

This study aims to examine the relationship among three main constructs of financial status, e‐commerce components, and Hispanic small businesses' (HSBs') perceptions regarding the contracting process of the United States Department of Agriculture (USDA) as they pertain to HSBs and their current capacity to gain access to government procurement.

The paper employs descriptive statistics and association analysis conducted on survey data from a random sample of 206 HSBs.

The analysis indicates that the HSBs' financial status has no impact on HSBs pursuing contracts with the USDA; instead, it impacts HSBs' ability to secure contracts. E‐commerce components seem to have no impact on HSBs' ability to pursue and/or secure contracts. The perceptions of services provided by the USDA to HSBs were found to be different depending on whether an HSB has secured a USDA contract.

Findings on HSBs in government contracting with the USDA might also be relevant to small businesses, regardless of ethnicity. This study was conducted for the USDA procurement process, but the process may vary due to the types of services contracted or the function of the agency/business itself. Non‐response biases were tested and found not significant.

This paper contributes to the literature in two complimentary ways. One contribution supports some of the earlier research on barriers for engagement of small business in government procurement. The second contribution offers specifics on Hispanic small businesses.

The importance of adequate dietary intake of essential minerals for the maintenance of optimal health and growth in humans is well recognized. Accordingly, food composition tables are used for evaluating nutrient adequacy and for nutritional policy making. As in Iran there is no up‐to‐date national food composition table, usually data of the United States Department of Agriculture (USDA) are used. However, because of environmental and genetic differences, the applicability of this information in Iran had been questioned. Hence, the purpose of the present study is to analyze micronutrients content of different food items.

In total, 85 samples of 17 different food items were chosen for this study. The iron, phosphorus, calcium and zinc contents of food items were measured using spectrophotometric method and the values were compared with the data of USDA food composition table.

There were differences between the micronutrient content of Iranian food items when compared with USDA values. The greatest variation was observed in the case of calcium content for which 58.82 percent of products had appreciable differences followed by iron (47.17 percent), phosphorus (47.05 percent) and zinc (35.29 percent). Given these differences, caution must be taken in using data from other countries tables especially in the case of evaluating nutrient adequacy and nutritional policy making.

This paper is believed to be the only one which compared some mineral content of Iranian food items with USDA food composition table as a most commonly used table in Iran.

The 1997 merger of two USDA agencies, the Agricultural Stabilization and Conservation Service and the Farmers Home Administration, into the Farm Service Agency created a need for consistent finance training. A highly successful Penn State Cooperative Extension borrower training program was selected to provide national financial training to more than 850 new staff and former loan technicians, and former ASCS staff and district directors. Analysis of workshop evaluations, based on pre‐workshop knowledge levels, identified five distinct clusters of trainees differing substantially in terms of experience, age, knowledge of finance principles, and job classification within FSA. However, evaluations confirmed testing results that the financial training was equally effective across all clusters. A critical result was that the training was successfully adapted to accommodate the distinct needs of each trainee cluster.

Humanitarian logistics plays a critical role in the aid response to hunger and disasters worldwide. The US Department of Agriculture (USDA) uses a competitive bidding process to procure P.L. 480 Title II food aid, a $2 billion business annually. This paper describes a mixed‐integer program (MIP) decision tool that mimics the USDA bid approach in order to improve ocean carrier and food supplier bid pricing strategy.

First, the USDA bid process is detailed and the MIP decision tool is described. Then how the tool is run against historical data to approximate future USDA bid awards is explained, allowing the authors to subsequently advise food supplier and ocean carrier clients of expected price competition and pricing flexibility before they submit bids.

The MIP decision tool has demonstrated its effectiveness in supporting $8 million in food aid bids. Bidding implications for food aid carriers and suppliers are provided as well as suggestions for additional opportunities for humanitarian logistics research are offered.

Extant literature in procurement offers little practical support for bidder pricing preparation. Additionally, humanitarian logistics is an emerging, under‐researched field, and this paper is the first to address sourcing and distribution of Title II food aid.

The Agriculture Improvement Act of 2018 directed the United States Department of Agriculture (USDA) Risk Management Association to investigate a policy targeted to farms and ranches that sell through local food markets. However, there is no available research that quantitatively documents the extent to which local food producers utilize Federal crop insurance.

The authors utilize 2013–2016 USDA Agricultural Resource Management Survey data to compare farms and ranches with sales through local food markets to those with and without Federal crop insurance expenditure, as well as the distribution of Federal crop expenditure, across market channels and scales.

There is a little variation in Federal crop insurance expenditure across market channels, defined as direct-to-consumer only sales, intermediated sales, and a combination of direct-to-consumer and intermediated sales. Rather, the results show that scale is the primary predictor of Federal crop insurance expenditure; larger operations are more likely to have nonzero Federal crop insurance expenses.

This article provides the first national research to document descriptive statistics of the utilization of Federal crop insurance by US farms and ranches that utilize local food market channels.

While genetically modified (GM) crops have provided tremendous agricultural productivity gains, many consumers oppose GM products and maintain they are unsafe. We use the case of GM sugar beets and their adoption by the US producers to examine the implications of GM technology on food security. A partial equilibrium framework is used to examine the implications of GM technology on food security. This analysis provides a unique opportunity to examine the impact of GM adoption in one product (sugar beets) relative to non-GM adoption in a substitute product (sugarcane). This analysis examines the potential gains to food security through the adoption of biotechnology versus consumer fear of GM technology. Research and development (R&D) has potential implications not only through its impact on supply, but also on demand as well. This study shows that demand impacts can negate the supply-induced food security gains of R&D. Regulations such as mandatory labeling requirements can impact this outcome.

The USDA’s Risk Management Agency (RMA) made several changes to the crop insurance products available to organic growers for the 2014 crop year. Most notably, a 5 percent premium surcharge was removed and organic-specific transitional yields (t-yields) were issued for the first time. The purpose of this paper is to use farm-level organic crop yield data to analyze the impact of these reforms on producer insurance outcomes and compare the insurance options for new organic growers.

This study uses a unique panel data set of organic corn and soybean yields to analyze the impact of organic crop insurance reforms. Actual Production History values and premium rates are calculated for each farm and crop yield sequence. Producer loss ratios and subsidized premium wedges are compared for yield, revenue and area-risk products before and after the instituted reforms.

Results indicate that RMA succeeded in improving the actuarial soundness of the organic insurance program, though further refinement of organic t-yields may be necessary to accurately reflect the yield potential of organic producers and avoid reductions in program participation.

This paper provides insight into the effectiveness of reforms intended to improve the actuarial soundness of organic crop insurance and demonstrates the effect that the reforms are likely to have on new and existing organic farms. Because this analysis uses data collected independently of RMA and includes farms that may or may not have purchased crop insurance, it avoids the self-selection problems that might affect analyses using crop insurance program data.

The United States (US) sugar program protects domestic sugar farmers from unrestricted imports of heavily-subsidized global sugar. Sugar-using firms (SUFs) criticize that program for causing US sugar prices to be higher than world sugar prices. This study examines the financial performance of publicly traded SUFs to determine if they are performing at an economic disadvantage in terms of accounting profitability, risk and economic profitability compared to other industries.

Firm-level financial accounting and market data from 2010 to 2019 were utilized to construct financial metrics for publicly traded SUFs, agribusinesses and general US firms. These financial metrics were analyzed to determine how SUFs compare to their agribusiness peer group and general US companies. The comprehensive financial analysis in this study covers: (1) accounting profit rates, (2) drivers of profitability, (3) economic profit rates, (4) trend analysis and (5) peer comparisons. Quantile regression analysis and Wilcoxon–Mann–Whitney statistics are employed for statistical comparisons.

Regarding various profitability and risk measures, SUFs outperform their agribusiness peers and the general benchmark of all US firms in terms of accounting profit rates, risk levels and economic profit rates. Furthermore, compared to other US industries using the 17 French and Fama classifications, SUFs have the highest return on investment and economic profit rate―measured by the Economic Value Added® margin―and the second-lowest opportunity cost of capital, measured by the weighted average cost of capital.

This study finds nothing to suggest that the US sugar program hinders the financial success of SUFs, contrary to recent claims by sugar-using firms. Notably in this analysis is the evaluation of economic profit rates and a series of robustness techniques.