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The paper examines the evolution of beginning farms’ income statement and balance sheet items over a 15-year period. The purpose of this paper is to gain insight into the diversity of beginning farms from a financial point of view.

Using the USDA’s Agricultural Resource Management Survey (ARMS), the author constructs a synthetic panel of data consisting of age cohorts of beginning farmers and follow them over time. Baseline financial information for the farm income statement and balance sheet is examined in 1999 and again in 2014 for each cohort.

Overall, there is a marked contrast in the evolution in the income statement between beginning farmers who are under 45 years old and those over 45. The gross cash income of the youngest cohorts grows tremendously, as do their expenses, indicating rapid expansion in production on the part of the youngest cohorts. The change in the balance sheets of the cohorts also provides a glimpse into the changing roles of beginning famers over time. The youngest cohort of beginning farmers increase the current and non-current assets on their balance sheets by a substantial amount, more than doubling both. Furthermore, the youngest cohort is the only group to take on more current liabilities, indicating increased financing of the production expenses.

Differences in the evolution of financial profiles of beginning farms may predict differences in future output, and it could be a predictor of the farm’s operational goals or intentions, as well as predictor of future financial needs and challenges.

Knowing and understanding likely trajectories of beginning farmers may provide an opportunity to better tailor farm programs, outreach, and support to beginning farmers.

US decoupled direct payments, paid to farm operators based on historic yields and base acreage under the 2002 Farm Bill, may alter a farmer's access to credit or his ability to meet debt servicing obligations. More specifically, direct payments might improve the farmer's liquidity position or repayment capacity enabling the farmer to obtain more favorable credit terms. In turn, more favorable credit terms might allow a farm to remain in business or expand production, leading to current production distortions. Since direct payments are based on historic production, beginning farmers tend to receive lower levels of direct payments and hence these payments might impact beginning farmers differently than more experienced farmers. The purpose of this paper is to investigate the effects of direct payments on liquidity and repayment capacity for experienced and beginning farmers.

Given the manner in which direct payments are calculated and administered, it is likely that direct payments affect beginning farmers and more experienced farmers differently; hence the authors analyze the impacts of direct payments on the current and term debt coverage ratios for these two groups separately. In the analysis, the authors control for farm financial characteristics, farm operator characteristics, and other factors. Data from the US Department of Agriculture (USDA) Agricultural Resource Management Survey (ARMS) for the years 2005, 2006, and 2007 were used in the weighted regression analysis and jackknifed standard errors computed.

A positive significant relationship was found between the level of direct payments (in dollars) and the term debt coverage ratio for experienced farmers, suggesting that direct payments improve repayment capacity. However, this relationship is not significant for beginning farmers. Also, a negative significant relationship was found between the number of base acres and the current ratio for experienced farmers, while this relationship lacks significance for beginning farmers.

The paper provides evidence that decoupled direct payments impact a farmer's liquidity and repayment capacity. Furthermore, direct payments impact beginning and experienced farmers differently. This paper also contributes to the growing body of research investigating the mechanisms by which decoupled payments have the potential to distort current production.

The purpose of this paper is to investigate the adoption of two categories of agricultural technologies among beginning farmers (10 years or less of experience) operating in the specialty crops industry. A secondary goal is to characterize the beginning farmers' population in the specialty crops industry and compare them to more experienced farmers (more than 10 years of farming experience).

Using a series of regressions, this paper tests the hypothesis that beginning farmers are more likely to adopt agricultural technologies such as growing technologies (i.e. hydroponics and hoop houses) and value-added (VA) technologies (drying and cutting produce into customer-ready portions) relative to counterparts. Using a unique primary collected dataset of specialty crops farmers, the dependent variable for each model is the binary decision to adopt each agricultural technology, while the main variables of interest are the dummy variables beginning farmers and the interaction terms created between beginning farmers and land farmed, percent of land rented, crop diversification, local sales, and part-time farming.

Farmers' characterization suggests that, on average, beginning farmers are more likely to adopt growing technologies than more experienced farmers. However, after controlling for other determinants of adoption, there is no significantly difference between the two groups. Lastly, results suggest that beginning farmers are more likely to adopt VA technologies relative to experienced farmers.

While the adoption of agricultural innovations can lead to increases in economic and environmental resilience, little is known about beginning farmers adopting agricultural technologies, and studies are even less common for specialty crops operations. As the world population continues to grow rapidly, the demand for agricultural food products is expected to increase up to 100% between 2010 and 2050. This growth places additional stress on the limited access to land and water for agricultural production. Farm profitability can be boosted by increasing economies of scope through the use of growing technologies that increase yield or by adding value to specialty crops. The increasing global demand for food makes it imperative to understand what influences the adoption of agricultural technologies among beginning farmers growing food crops.

The purpose of this paper is to examine the financial performance and stress of beginning farmers in the USA with emphasis on the agricultural downturn experienced since 2013.

Using the US Department of Agriculture’s Agricultural Resource Management Survey (ARMS) data, probit models are estimated to study the personal and farm characteristics that affect whether or not the financial ratios fall into critical zones as defined by the Farm Financial Standards Council. The financial ratios involve liquidity, solvency, profitability, efficiency, and repayment capacity.

Beginning farmers are at a greater risk of financial stress on average, with higher likelihood of financial stress in liquidity and efficiency. Further, the recent agricultural downturn has negatively affected liquidity, solvency, and profitability for farmers while repayment capacity does not appear to be affected. During the downturn, beginning farmers are better positioned than the general farming population with respect to liquidity and repayment capacity.

This paper applies current lending practices to a nationally representative sample of farms over a time of changing economic conditions for the agricultural sector.

Beginning farmers have unique challenges securing credit because they are less likely to have established sales and collateral for secured loans. This article explores US beginning farmers’ financing strategies relative to those of established operations, with a focus on the source of financing and debt structure (short- vs long-term usage). Agricultural operations commonly use nontraditional financing tools and strategies to start, build and/or sustain their businesses. This article provides a comparative overview of financing strategies comparing established operators to operations with only beginning operators, as well as those multigenerational operations with at least one beginning operator.

The study uses 2013–2016 USDA Agricultural Resource Management Survey data to explore how various financing patterns vary across US beginning farmers and ranchers with a particular focus on understanding differences where (1) all operators are beginning, (2) there is a mix of beginning and established operators and (3) all operators are established.

This article explores how the nature of beginning farmer status, human capital resources and alternative marketing strategies may influence financial management strategies and lead to differential use of nontraditional financing sources for beginning farmers and ranchers.

Though exploratory, the authors hope that attention to patterns among US beginning farmers and ranchers of reliance on human capital resources including off-farm income and type of beginning farm operation, nontraditional government support programs and alternative marketing strategies can provide important information as to the role of nontraditional credit in the US farm economy.

The Agriculture Improvement Act of 2018 directed the US Secretary of Agriculture to report on the profitability and viability of beginning farmers and ranchers. Many beginning operations use local food markets as they provide more control, or a premium over commodity prices, and beginning operations cannot yet take advantage of economies of scale and subsequently have higher costs of production. Little research assesses the relationship between beginning farmer profitability and sales through local food markets. In this paper, the profitability implications of sales through local food markets for beginning farmers and ranchers are explored.

The authors utilize 2013–2016 USDA agricultural resource management survey data to assess the financial performance of US beginning farmers and ranchers who generate sales through local food markets.

The results point to four important takeaways to support beginning operations. (1) Local food channels can be viable marketing opportunities for beginning operations. (2) There are differences when using short- and long-term financial performance indicators, which may indicate that there is benefit to promoting lean management strategies to support beginning operations. (3) Beginning operations with intermediated local food sales, on average, perform better than those operations with direct-to-consumer sales. (4) Diversification across local food market channel types does not appear to be an indicator of improved financial performance.

This article is the first to focus on the relationship beginning local food sales and beginning farmer financial performance. It incorporates short-term and long-term measures of financial performance and differentiates sales by four local food market type classifications: direct-to-consumer sales at farmers markets, other direct-to-consumer sales, direct-to-retail sales and direct-to-regional distributor or institution sales.

Beginning Farmer and Rancher programs are available for operators with ten years of experience or less on any farm. These programs support farmers who are starting operations, often without an initial asset allocation. However, some beginning farmers acquire operations that are already established, with substantial assets in place. The authors investigate whether a profitability gap exists between beginning farmers entering the industry ex novo and those operating a preexisting operation and if so, what factors contribute to the gap.

The authors utilize the Blinder-Oaxaca decomposition to determine what drives financial differences between first-generation beginning farmers, second-generation beginning farmers and established farmers using a unique farm-level panel dataset from 1997 to 2021.

Results indicate that first- and second-generation beginning farmers have similar operating profit margins, but first-generation beginning farmers have a statistically higher rate of return on assets than second-generation beginning farmers. Established farmers outperform second-generation beginning farmers on both the operating profit margin and rate of return on assets. These results suggest that economic viability for beginning farmers differs depending upon the initial status of their operation, suggesting that heterogenous policies may be more impactful in supporting various pathways to enter agriculture.

This analysis is the first to identify beginning farmers that enter the industry without an asset base and those that take over a principal operator role on an established farm through an assumed farm transition. The authors quantify differences in financial performance using detailed accrual-based financial data that tracks farms over time in one dataset.

The purpose of this paper is to assess the impacts of GM crop adoption on the profitability of farms operated by young and/or beginning farmers and ranchers (YBFR).

This research uses weighted quantile regression analysis in conjunction with 2004‐2006 Agricultural Resource Management Survey to evaluate the impact of GM crop adoption on financial performance of farms operated by YBFR. The methodology employed in this study corrects for the simultaneity of technology adoption and farm financial performance.

As expected, the impact of GM crop adoption on profitability is positively affected by the scale of operation and leverage. On the other hand, off‐farm employment by “beginning” farmers has a negative impact on farm's profitability if they choose to adopt GM crops. Finally, quantile regression results from a farm household study shows that the model performs better at the higher quantile of the distribution.

This study helps to determine whether the adoption of GM crops increases the profitability of farms operated by “beginning” farmers. In addition, it explores the impact of other factors (such as farm, operator, demographic, and financial characteristics) on the profitability of farms operated by “beginning” farmers.

Computing the profitability of adoption decisions for YBFR will provide significant information to YBFR that they can use in constructing their farm operations strategic business plan and future decisions regarding farming operations.

Existing research does not examine the impact of GM crops adoption on farm profitability of YBFR. Furthermore, YBFR operators face significant challenges in making their operations financially viable, owing to lack of access to capital and land.

The purpose of this paper is to examine credit usage by beginning farmers and ranchers (BFR). BFR credit usage is stratified by location (state) and by socially disadvantaged farmer and rancher (SDFR, also known as historically underserved) status. SDFR groups are defined to include women; individuals with Hispanic, Latino or Spanish Origin; individuals who identify as American Indian or Alaskan Native, Black or African American, Asian, Native Hawaiian or other Pacific Islander. Non-SDFR is defined as individuals who identify as non-Hispanic, White men.

The US Department of Agriculture’s Census of Agriculture, Agricultural Resource Management Survey (ARMS) is linked with Farm Service Agency (FSA) loan program administrative data to estimate shares of BFR operations using FSA credit. Census data provided information on population changes in total farms and BFR operations from 2012 to 2017 which are compared by SDFR status.

Results reveal differences among BFR operations active in agricultural credit markets by SDFR status and state. BFR were more common among SDFR groups as well as in regions where farms tend to be smaller, such as the Northeast, compared to a more highly agricultural upper Midwest. Among BFR, non-SDFR are more likely to utilize credit than SDFR, however, FSA appeared to be crucial in enabling BFR and especially beginning SDFR groups to access loans.

The results are timely and of keen interest to researchers, industry and policymakers and are expected to assist in developing and adjusting policies to effectively promote and improve BFR success in general and for beginning SDFR groups.

The purpose of this article is to investigate how land tenure correlates with measures of profitability among young farmers and ranchers in the United States. The authors hypothesize that young producers who own a larger proportion of their operation face different incentives between short- and long-run returns than young producers who primarily rent their land. The authors analyze whether these differing incentives result in observable differences in various measures of profitability.

The authors use state-level data from the Agricultural Resource Management Survey (ARMS) from 2003 to 2018 to estimate fixed-effects panel models correlating land tenure with the value of farm production, expenditures on repairs and maintenance, net farm income, total operator household income from farming, rate of return on assets (ROA) and rate of return on equity (ROE).

The authors find different correlations for crop farms and livestock farms, as well as different correlations for farms with the lowest and highest gross sales. For crop farms, renting land is associated with higher production, higher income, higher ROA and higher ROE. For livestock farms, renting land is associated with lower production.

This study rigorously investigates the role of land tenure specifically among young farmers and ranchers in the United States. By better understanding how land ownership affects profitability among beginning farmers and ranchers, policymakers will be able to better target public resources to support the next generation of producers.