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The Crop Profitability Analysis (CPA) computer program is designed to help agricultural producers make long‐run cropping decisions. CPA uses previously generated enterprise budgets to establish a base from which producers can analyze the potential profitability of perennial crops with establishment periods, such as orchard, berry, and vineyard crops, or the feasibility of long‐term crop rotations. CPA permits up to a 20‐year planning horizon and uses the economic concepts of net present value, annual equivalence, and internal rate of return to analyze the potential profitability of a given enterprise. CPA also analyzes the financial feasibility of potential investments by generating annual net cash flows.

The purpose of this paper is to develop a dynamic, stochastic, mechanistic simulation model of a dairy business to evaluate the cost and benefit streams coinciding with technology investments. The model was constructed to embody the biological and economical complexities of a dairy farm system within a partial budgeting framework. A primary objective was to establish a flexible, user‐friendly, farm‐specific, decision‐making tool for dairy producers or their advisers and technology manufacturers.

The basic deterministic model was created in Microsoft Excel (Microsoft, Seattle, Washington). The @Risk add‐in (Palisade Corporation, Ithaca, New York) for Excel was employed to account for the stochastic nature of key variables within a Monte Carlo simulation. Net present value was the primary metric used to assess the economic profitability of investments. The model was composed of a series of modules, which synergistically provide the necessary inputs for profitability analysis. Estimates of biological relationships within the model were obtained from the literature in an attempt to represent an average or typical US dairy. Technology benefits were appraised from the resulting impact on disease incidence, disease impact, and reproductive performance. In this paper, the model structure and methodology were described in detail.

Examples of the utility of examining the influence of stochastic input and output prices on the costs of culling, days open, and disease were examined. Each of these parameters was highly sensitive to stochastic prices and deterministic inputs.

Decision support tools, such as this one, that are designed to investigate dairy business decisions may benefit dairy producers.

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 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.

This research investigated the economic feasibility of using maize as feedstock to produce bioethanol in South Africa. The purpose of the study was to generate economic data from a maize-fed bioethanol plant and use it to perform a comparative analysis between the profitability that is generated by the maize exports to Southern African Development Community (SADC) countries and the profitability generated by the bioethanol plant in South Africa.

This study used a combination of qualitative and quantitative methods to gather data. The mixed method approach was chosen owing to the nature of the study which required an analysis of qualitative and quantitative data in order to achieve its objectives.

The findings from a qualitative instrument indicated that a majority of respondents were in favour of the decision of excluding maize for bioethanol production made by the South African Government. Findings from quantitative analysis revealed that the profitability of the bioethanol plant was largely influenced by the prices of feedstock and bioethanol.

This research was a deterministic feasibility study which ignores the risk associated with price fluctuation of raw materials and products. A probabilistic feasibility study was recommended (Monte Carlo simulation). Such economic data can also help policymakers and investors to make informed decisions.

The study recommended the need to produce bioethanol from the maize cultivated in available arable soils in South Africa, thus alleviating the cost burden of importing oil and obnoxious environmental effects.

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 crop sector in Malawi faces a number of constraints which must be overcome before agriculture can reach its full potential. This paper uses the policy analysis matrix (PAM) to assess efficiency in the crop sector and financial analysis to explore the potential of investing in a fruit juice extraction plant in Malawi. The PAM revealed that farmers in Malawi are efficient producers but they face negative incentives in the production and marketing of their products. The nominal protection coefficients (NPCs) for both maize and beans were less than 1 while those of inputs were more than 1. Similarly, the effective protection coefficients (EPCs) were less than 1, implying that the combined effect of transfers and tradable inputs is reducing the private profitability of the systems. On the other hand, the financial analysis demonstrated that Malawi can sustain a fruit juice extraction plant. The project had a positive net present value and a benefit/cost ratio greater than 1 (1.16). Recommendations made from the study relate to the need for diversification into fruits that can sustain a fruit juice extraction plant, encouraging private sector participation and reducing disincentives to crop production.

Small farmers, being the primary producers of crops, are the key players in the food supply chain. Yet, they remain the most marginalized in the value chain. The marginalization of small farmers can affect food sustainability. The purpose of this paper is to identify opportunities for bringing more value to small farmers in an agricultural value chain.

This paper makes use of action research, studying the potato value chain, in a developing agricultural country Pakistan. The authors conducted an in-depth study of 37 farmers in four regions, each being a large potato growing ecosystem. The study examined the end-to-end decision-making processes, sources of input (both physical and information), cultivation and sales practices, cost structure, productivity and profitability of the farmers in potato farming.

Large variations exist in the crop yield, cost structure and profitability of farmers within each of and among the four regions due to differences in cultivation practices and approach to sales. There is a significant potential to lower costs, increase yield and enhance overall profitability by using the existing better processes. By addressing the issues faced by small farmers their profits can be potentially doubled. The paper also discusses potential means of recrafting and streamlining the value chain to bring more value to small farmers.

The paper provides a detailed account of how different interventions can increase the value for small farmers. Since the current food supply chain and sustainability are under stress, worldwide, the findings of this study have implications for farmers as well as policy makers.

The literature on streamlining the agricultural value chain and enhancing the share of small farmers is scarce. Improving the value chain and reducing the marginalization of small farmers is an essential step toward increasing food sustainability.

The purpose of this study is to estimate and analyze the production and export viability of organic cape gooseberry to Spain, cultivated by indigenous communities in post-conflict areas.

Based on interviews with indigenous people who grow organic cape gooseberry in post-conflict areas and information from official platforms, the data are systematized, and a matrix of costs, expenses, productivity and income from the production and export of Cape gooseberry is calculated. Financial indicators of profitability are calculated: net profit, net present value (NPV) and internal rate of return (IRR). Finally, with a regression model, the trend of the behavior of the quantity and cost of Cape gooseberry exports from Colombia to Europe and Spain is estimated.

The production and export of organic cape gooseberry is profitable for indigenous communities in post-conflict areas, favored by a special price on the European market and by the use of family labor in cultivation, which improves the profitability of the product. Because of these factors, it is likely to become an alternative to partially replace illicit crops in post-conflict areas.

This research was carried out in conflict areas, so conducting interviews in that territory put the integrity of the researchers at risk.

Studies known about organic cape gooseberry production reveal the benefits of the fruit for human health, but not the viability of production and export to Spain. This study demonstrates the financial viability of the production and export of cape gooseberry grown by indigenous people and therefore constitutes an alternative for substituting illicit crops.

Commercialization of cassava is increasing because of increased urban demand for processed products and increased recognition of the industrial potential of the crop. This study aims to examine the cassava value chain in Ghana and its implications for upgrading.

A combination of purposive, simple random and snowball sampling methods was adopted to select key actors in the cassava value chain. A semi-structured questionnaire was used to collect primary data. Analysis of the data was largely descriptive, except for profitability of cassava production in selected regions, which was examined by employing gross and net marketing margin analysis. A comprehensive value chain map was generated to show the different product pathways for cassava from the farm gate to the final consumer, and roles of key value chain actors and their relationships were summarized through simple narrations.

Evidence has shown chains of more than four different channels through which fresh cassava roots move from the farm gate to final consumers. Production of cassava in Ghana is profitable, generating positive net marketing margins across major producing centres. Processing of cassava has both dry and wet/fresh value chains depending on the derived products for the final consumer. There is weak governance system in the cassava value chain in Ghana as majority of actors use spot market transactions in dealing with trading partners. The use of standardized grading and weighing system is very limited in the chain, and limited access to credit is a critical constraint to value chain upgrading.

With the exception of results from the profitability analysis of producers, the findings on marketing margins of other value chain actors may not be generalizable. Future studies could determine the profitability associated with cassava value-adding activities like processing into various forms and explore the possibility of converting waste from processing into energy.

The study includes implications that focus on product and process upgrading efforts by smallholders in the cassava value chain. This paper recommends innovative financing models for smallholders to improve access to microcredit via internal and external funding sources.

This paper reveals specific intervention areas in which smallholders can direct efforts in an attempt to improve the cassava value chain through product, process and functional upgrading.