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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.

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 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 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.

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 investigate the factors (farm, operator and household characteristics, along with farm type and regional location of the farm) affecting financial performance of new and beginning farmers and ranchers.

Returns on assets (ROA), a measure of financial performance widely used in the farm management literature, is the ratio of net farm income plus interest payment to total assets. This measure has been used by Gloy and LaDue and Gloy et al. to measure financial performance of farmers in New York. ROA is hypothesized to be a function of operator/farm characteristics and management strategies used to manage the farm. The independent variables hypothesized to affect the farm's financial performance encompass the following three areas: farm operator characteristics, farm characteristics such as production and marketing efficiency measures, and management strategies. All standard errors were adjusted for heteroscedasticity using the Huber–White sandwich robust variance estimator based on algorithms contained in STATA.

Results from this study show that although there is an inverted U‐shaped relationship between age of the operator and financial performance, management strategies such as increasing the number of decision makers, engaging in value‐added farming, and having a written business plan can lead to higher financial performance.

More than 50 percent of current farmers are likely to retire in the next five years. US farmers over age 55 control more than half the farmland, while the number of new farmers replacing them has fallen since the Farm Crisis period, 1982‐1987. Paralleling this shift in production, agriculture is in a decline in overall farm numbers. Concern in many states arises because the loss adversely affects the future of family farms, the farm economy and healthy rural communities. Additionally, the rapid decline in the entry of new and young farmers is an indication of rising barriers to entry, resulting in calls from within the farming community for public policy measures designed to aid new and beginning farmers.

This paper identifies factors that affect entry and exit of beginning, young and women farmers and ranchers.

The empirical framework is fixed effects regression analysis that uses county level data to evaluate how barriers to entry, access to and use of credit, local economic environment, and climate affect entry and exit of Beginning Farmers and Ranchers (BFRs). The dataset is assembled from several sources matching the Census of Agriculture years for the period of 1997–2017.

Results show that new farmers are more likely to enter in counties with more and smaller farms and with lower farm productivity, indicating that BFRs have the potential to improve the overall productivity in such counties if able to grow and succeed. The results also indicate that the high capital intensity nature of farming is an effective barrier to entry. BFRs are more likely to do better in counties where agriculture is more important to the economy and with more off-farm work opportunities. The net entry is positively associated with higher input/output price index and the use of insurance but is unaffected by government payments and farm and off-farm income. The authors observe substitutability between farming and alternative self-employment for more entrepreneurial young people. Net entry increases with availability of non-real-estate loans but decreases with real estate credit. Thus, for BFRs to acquire the assets needed to reach optimal scale, access to credit remains essential.

The authors are not aware of other work that estimates how barriers to entry and other economic factors including access to credit affect entry and exit of BFRs of various ages and young and women farmers using the Census of Agriculture data up to 2017.

Beginning farmers and ranchers (BFRs) are more likely to access land through an unrelated landowner than through family. Thus, farm and ranch owners who might transfer their land or businesses out of family are potential sources of land access for BFRs and are the most frequent participants in incentive programs to facilitate land transfer to BFRs. To assist in identifying landowners who might transfer out of family, the paper aims to explore similarities and differences between landowners according to their expectations for intra-familial versus extra-familial farm transfer.

Pairwise and regression analysis of USA Midwestern and Plains landowners' responses to an online survey (n = 322).

Landowners who might transfer out of family were likely to need the proceeds from a land sale to finance their retirement. Landowners' financial needs interacted with their widespread interest in transferring to a BFR such that 97% of owners who expected extra-familial transfer wanted to transfer to a BFR. There were also statistical patterns around the size of owners' landholdings in relation to their transfer plans.

This exploratory inquiry suggests patterns for future research to examine, especially around landowners' juxtaposition of their retirement income and their interest in transferring to a BFR and how to align these priorities and values.

By exploring the characteristics of landowners who are the most likely to provide land access to BFRs, the authors begin to examine how to target these owners in program outreach. Patterns for further exploration point to landowners' financial needs in relation to their interest in helping a BFR to get started in agriculture.