Farm Revenue Research Articles

Exploring Diversification Strategies among Italian Farms

The multifunctionality model is receiving more and more attention from policymakers as a result of recent initiatives to build more resilient and sustainable food systems as well as the potential for increased farm revenue. This paper explores the role of multifunctional farming in the Italian agriculture viewed through the lens of an entrepreneurial strategy grounded on-farm diversification. Farm diversification strategies, which broaden the farm’s traditional boundaries to include additional activities at the farm level, help the evolution towards multifunctionality. A policy-driven transition towards multifunctional farming has been noticed in Italy during the past few decades, which has prompted a strategic reconfiguration of the farm’s business models. Drawing on the identified activity of portfolio diversification, this study provides an overview of the analyzed 49,429 Italian farms, by articulating diversification strategies into four entrepreneurial activities, which are related to on/off-farm/farm-related or farm-diverse diversification strategies. This article has attempted to verify the presence of farm types that responded to portfolio diversification management strategies through the use of a cluster analysis on data from the general census of Italian agriculture. Supporting new patterns in the adoption of business models focused on multifunctionality should be considered in European rural development policies.

A Current View on Strawberry Production Practices and Trends in the Northeastern United States and Canada

Strawberries (Fragaria ×ananassa) are an important crop for diversified fruit and vegetable farms in the northeastern United States as well as in Ontario and Québec, Canada. The industry in this cold climate region differs greatly from that in the major strawberry-producing states of Florida and California because strawberries typically represent a smaller share of total farm revenue and are sold primarily through retail markets. In recent years, strawberry production and marketing methods in the northeastern United States and Canada have diversified to meet the unique challenges of the region, including regional demand, extended seasons, and management of an increasingly challenging pest and disease complex. In 2020, we distributed an online survey to 163 commercial producers to obtain a snapshot of marketing and production practices used on strawberry-producing farms in this region and to assess research and outreach needs to better serve the industry. We conducted in-depth case study interviews with a small number of producers after the survey. We found that traditional June-bearing strawberry production continues to represent >50% of production, and that most fruit are grown conventionally. Day-neutral strawberry production was reported by an increased number of producers in New York as well as in Canada, and a higher percentage of day-neutral growers, compared to that of June-bearing producers, reported using protected culture. Botrytis (gray mold), weeds, and leaf spots were the top overall pest pressures indicated by growers. Survey respondents preferred written outreach materials and on-farm meetings to obtain information. Integrated pest management, organic production, and cultivar performance were the top priorities for subjects. The survey and interviews also provided information about the most common strategies for winter protection, frequency of pesticide applications, lifespan of plantings, and other current strawberry production practices in the region. Our survey results may be used by researchers and extension professionals to better serve this diversifying industry.

Understanding Inter-Farm Inequalities in Extreme Weather Event Impacts: Insights from the Dutch Agricultural Sector

As a result of global climate change, extreme weather events are becoming more frequent and intense. Susceptibility to extreme weather events (EWEs) is high in the agricultural sector, as these extremes can cause a decline in yields and revenue for farmers. To provide insight into ways to reduce the impacts of EWEs, this study assessed which factors explain the differences in the impacts of past weather extremes between Dutch arable farms. A survey was conducted among potato and onion farmers in the Netherlands to collect information on the past impacts of EWEs between 2018 and 2022 and the vulnerability of farmers (N=81). The survey results showed that EWEs have already had a strong effect on farm revenues, but the extent of the impacts varied among farms. By coupling the survey data to meteorological data on EWEs, it was found that dry summers, wet fields during harvest and plowing, and warm winters were the extremes that best explained the more detrimental impacts of extreme weather amongst respondents. Additionally, differences in the physical and social vulnerability of farmers played a significant role in the observed inter-farm inequalities in impacts. Farm practices that reduce physical vulnerability are frequently inaccessible to smaller-scale or younger farmers. Further research is needed to understand the access barriers faced by these farmers. Further, future research and policies targeting the Dutch agricultural sector should no longer ignore social vulnerability factors to avoid exacerbating inter-farm inequalities, as the impacts of EWEs increase due to climate change.

Special research on well-being and earning of rice farmers in Laos: Survey of Official Development Assistant (ODA) projects and economic analysis

Farmers in rural areas can only earn revenue from rice farming which rice farming supports their better lives. Agricultural knowledge is a potential incentive for promoting well-being. This paper was survey research, there were two sections: 1) the author utilized an econometric approach to analyze the earnings of farmers from 10 provinces from 2017–2021; there were 1120 farmers involved in the survey; 2) the author used an economic evaluation approach to analyze effectiveness and efficiency of ODA by using data from 1110 farmers in 2018; 1205 farmers in 2019; and 1330 farmers in 2020. ODA is Instrumental Variables (IV) in the mincer model, ODA promotes agricultural knowledge for farmers, and of course, agricultural knowledge promotes revenue for farmers. The 2SLS and maximum likelihood are essential for the quartic function of mincer. Evaluation approaches from OECD/DAC and PCAP/JICA were utilized to compare the results of well-being indicators called basic human needs (BHN). According to the results of this study, the earnings of farmers who joined ODA projects were higher than the earnings of farmers who did not join ODA projects. The result of the economic evaluation approach found ‘ineffectiveness’; on the other hand, the author could find the efficiency of ODA projects. Finally, the recommendation is that the government policy on BHN should be consistently linked to the ODA program made by both the government and donors. Certainly, BHN policy for farmers who are minorities is necessary such as providing rice fields to be utilized for free, this will lead to chances for farmers to enhance their well-being from rice production.

Examining the Intersection of Agricultural Production, Farm Revenue, Gender Dynamics and Adaptation Strategies in the Face of Climate Change

In recent times the context of climate change has become a complex and multifaceted issue as it affects agricultural production by altering weather patterns and by shifting the growing seasons of the crops, increasing pest and disease prevalence, thus reducing the yield, affecting the quality of the produce and threatening the food security in both the global and regional level. The farm revenues fluctuate significantly due to the unpredictable yields and the increased costs associated with the adaptation measures. Greater financial instability due to the changing climate scenario is faced by small and marginal farmers, as it affects market dynamics, potentially leading to price volatility. It also exacerbates the existing gender inequalities in agriculture by making them more vulnerable to the challenges of adopting climate-resilient practices, access to resources, education and decision-making opportunities which can hinder their ability to adapt to climate change. Thus the intersection of crop production, farm revenue and gender disparity under climate change highlights the need for integrated approaches to address the impacts of climate change.

Economic Assessment of Hybrid and Non-Hybrid Maize Crop in Sahiwal Division Under Changing Climate

It is a fine admissible verity all over the world that the changing climate exerts influence on all the kinds of survivals. As an agricultural based economy Pakistan rely on well-being of agriculture and it makes huge contribution in the gross domestic product (GDP) of Pakistan. Agriculture totally nature based and it is straight exaggerated by the exchange behavior of different climatic variables i.e. humidity, rainfall as well as temperature. Minor alter in one of these variables can cause extreme alter in the production of crops and the country’s economy damaged in the result of yield loss. This study will be focused on climate changing impact on hybrid as well as non- hybrid maize crop within Sahiwal division, in the province of Punjab, Pakistan. Sahiwal division is the well-known agricultural production location and on the other side, it is very sensitive to climate change. That is the reason behind the study of the economic assessment of hybrid and non-hybrid maize crop under the climate change in Sahiwal division. With the help of arranged set of questions, check the impact of crop production on net farm revenue and Ricardian analysis operated to quantify the supposed impact due to changing climate. After estimating net farm revenue, it is a regressed against climate, soil and socio-economic variables. Study helps out in assessing the climate changing impact on hybrid as well as non-hybrid maize crop and plus suggesting adoption practices to farmers and thus giving reasonable policy support in the end.

A Review on Medicinal Value of Silkworm Product and By-Products

Sericulture is an agro based industry that includes production of raw silk by breeding, rearing of silkworm and cultivation of their host plants. The manufacture of various types of silk was the only emphasis of the traditional sericulture industry, and leftovers were typically disposed away as trash. Byproducts and products from sericulture can be used medicinally in addition to generating silk. The silkworm is a valuable tool in laboratory research and has been utilised as a model organism in life sciences, environmental monitoring, antimicrobial drug screening, and other applications. Protein extract from silkworm eggs is used to improve memory and assist control weight. The silkworm's larvae are also beneficial medicinally; they include blood glucose-lowering agents and silkworm gut fibre, among other things. Similarly, silkworm pupae, a significant by-product of the silk reeling business, have great nutritional content and potential medical applications including hepatoprotection, anticancer, and anti-aging. They can be utilised as an alternative to conventional dietary supplements. As a result, functional sericulture under a new paradigm has replaced sericulture to produce solely silk fabric, greatly increasing farmer revenue while also relieving patient suffering.

Factors Influencing Access of Government Agricultural Extension Services Among Banana Farmers in Lyantonde District, Uganda

In Uganda, the agriculture extension program has been the main conduit for disseminating information on farm technologies, support rural adult learning, and assist farmers in developing their farm technical and managerial skills. It is expected that extension programs will help increase farm productivity, farm revenue, reduce poverty and minimize food insecurity. In this study, we estimate the effects of extension services on farm income with reference to Government Agricultural Extension Services (GAES) delivered by Ministry of Agriculture, animal husbandry and fisheries (MAAIF). The study used cross-section research design to randomly select and collect data from 165 banana farmers from Lyantonde subcounty. The collected data was entered and later analyzed using R software version 4.4.0. The results reveal that more than half of the banana farmers (58.2%) were accessing government agricultural extension services (GAESs), significantly higher than those not having access. Using binary logistic regression model, only two factors; - access to agricultural credit (p = 0.006) and membership to a farmer association (p<0.001) were found to significantly affect farmers’ access to GAES. The study findings point the critical role of farmer associations as well as access to agricultural credit to banana farmers in agricultural extension. It is, therefore, recommended that formation of farmer association be given a top priority as it helps in reducing the extension-to-farmer ratio for efficient and effective agricultural extension service delivery

Socio-economic Impact of Reducing Water Availability of Springs in Kandi Village, Devprayag, Uttarakhand: A People Perception Approach

Water is necessary for sustainable development, which includes safeguarding the environment and the reduction in hunger and poverty. Demand is rising quickly, which is posing issues for many countries due to population growth and economic expansion. The goal of the current study is to examine the state of spring and water resources in Kandi Village, Devprayag, Uttarakhand, India, and how they affect farmers’ agricultural productivity from a socioeconomic standpoint. The key data used in the study were gathered from farmers using questionnaires. Using a stratified random sampling technique, a sample of 100 farmers was chosen for the data collection. The conclusion of the study is that there is currently very little spring, and ground water available. It has been discovered that spring is sparse to fulfil the need of annual irrigation requirements for economic purposes like farming. Lack of springs resulted in a reduction in the amount of land used for farming, a decrease in farmer revenue, livestock losses, etc. According to the findings, some ways to lessen the strain on the water resources available to farmers include building new dams, rejuvenating springs, teaching them how to use highly efficient irrigation systems, and educating them about modern production techniques.

On-farm evaluation of a crop forecast-based approach for season-specific nitrogen application in winter wheat

Inadequate nitrogen (N)-fertilisation practices, that fail to consider seasonally variable weather conditions and their impacts on crop yield potential and N-requirements, cause reduced crop N-use efficiency. As a result, both the ecological and economic sustainability of crop production systems are put at risk. The aim of this study was to develop a season-specific crop forecasting approach that allows for a targeted application of N in winter wheat while maintaining farm revenue compared to empirical N-fertilisation practices. The crop forecasts of this study were generated using the process-based crop model SSM in combination with state-of-the-art seasonal ensemble weather forecasts (SEAS5) for the case study region of Eastern Austria. Results from three winter wheat on-farm experiments showed a significant reduction in applied N when implementing a crop forecast-based N-application approach (-43.33 kgN ha-1, -23.42%) compared to empirical N-application approaches, without compromising revenue from high-quality grain sales. The benefit of this reduced N-application approach was quantified through the economic return to applied N (ERAN). While maintaining revenue, the lower amounts of applied N led to significant benefits of + 30.22% (+ 2.20 € kgN-1) in ERAN.

Crop rotation as an economic strategy for small-scale farmers: evidence from Punjab, Pakistan

This study examined the economic feasibility of crop rotation as a farming technique for small-scale farmers in Punjab, Pakistan, in 2022. Employing a mixed-methods approach, the study integrated qualitative and quantitative data to comprehensively assess the financial impact of crop rotation. The research focused on two key regions in Punjab renowned for small-scale farming: Sargodha and Chakwal. These areas were selected due to their prevalent small-scale farming practices and diverse agricultural methods. The study included a control group of farms that did not practice crop rotation, alongside farms actively implementing this technique. Through surveys of farm owners, input costs (such as seeds, fertilizers, and labor), market prices, crop yields, and total farm revenues were quantified over a three-year period. Soil health indicators were evaluated through soil sample analyses. Qualitative insights into farmers' perspectives on the benefits, challenges, and financial decision-making processes related to crop-rotation were gathered via in-depth interviews and regional focus groups. The findings from 2022 demonstrated advantages for farms practicing crop-rotation, evidenced by consistently higher yields and reduced seed costs. These farms also reported significantly greater profitability. The qualitative analysis highlighted local dynamics influencing the adoption of crop rotation. The study underscored the need to address challenges such as weather fluctuations and market conditions. The insights from this 2022 research can greatly benefit policymakers and agricultural practitioners in promoting sustainable farming practices among small-scale farmers in Punjab, Pakistan. Crop rotation emerges as a strategy capable of enhancing agricultural productivity and bolstering the financial resilience of small-scale farming communities.

Examining the Effect of 2023 Cash Crunch on the Poultry Egg Industry in Ogun State, Nigeria

Abstract This study examines the effects of the 2023 cash crunch on the poultry egg industry in Ogun State, Nigeria. Data from 64 poultry egg farmers were collected and analyzed via structured e-questionnaires. Results show 83% of respondents were small-medium scale farmers and 73% used commercial feeds. Total egg production before (12,210 crates) and during the cash crunch (12,391 crates) did not significantly differ. Average feed cost per bag was ₦7,097 before and ₦7,151 during the crunch. However, average sales of 2,213,867 crates before and 199,437 crates during the cash crunch differed. A 36% cumulative decrease in egg price from ₦2,472 (December 2022) to ₦1,587 (March 2023) led to an 83% drop in daily farm revenue. The price fall did not boost egg demand. Coping strategies included increased delivery to customers (18%), gifting eggs (56%), and selling poultry birds (25%). The study recommends government grants and review of loan tenure for farmers while encouraging collaborative egg processing efforts. Additionally, it underscores the need for animal science research to explore methods for temporarily halting egg laying during economic challenges.

Cost and revenew analysis of arrowroot farming in Yogyakarta, Indonesia

Abstract Arrowroot is a commodity that has been cultivated for generations in Yogyakarta. Arrowroot can grow on land that is exposed to little sunlight that can be planted on yard or even developed on a large scale on land under crop stands so that it can increase land productivity and increase farmers’ income. Arrowroot can be used as raw material for flour. As a result, Garut is a viable local food source with economic potential that should be considered in future. This study aimed to determine the costs, revenues, incomes, profits, and efficiency of arrowroot farming in Yogyakarta, Indonesia. The basic research method used in this research is descriptive and analytical. This study used survey techniques to conduct door-to-door interviews with arrowroot farmers. The purposive sampling method was used to select the sample, with respondents being farmers who actively cultivated arrowroot every year and were registered in Department of Agriculture and Food Security of Yogyakarta. The total research sample was 92 farmers spread across 3 sub-districts in Yogyakarta. Cost analysis, revenue, income, farm profit, and the R/C ratio were all used in the analysis. The results showed that the average farming costs in one growing season consisted of explicit costs of IDR 1,634,728.07/ha and implicit costs of IDR 21,034,373.62/ha. The average farm revenue was IDR 13,491,298.19/ha. The average farm income was IDR 11,856,570.12/ha. The average farm profit was -IDR 9,177,803.50/ha. The average R/C ratio on explicit costs was 8.25, meaning the farm is efficient, and the average R/C ratio on total costs was 0.60, meaning the farm is inefficient.

Maintenance & failure data analysis of an offshore wind farm

Offshore Wind (OW) continues to grow globally at a rapid pace, with growth estimates of 630GW by 2050. To facilitate this rapid growth, costs must continue to be reduced. Reducing operations and maintenance (O&M) costs, which are estimated at 30% of the lifetime costs of wind farms, offers opportunity. This could be achieved by moving current maintenance strategies to a prescriptive strategy. Prescriptive strategies use the turbine monitoring data to determine component remaining useful lifetimes or predict failure windows and then provide an optimised maintenance plan. The first stage of a framework, that can be applied to operational assets, for improving maintenance schedules with failure predictions is presented. Analysis of the SCADA system and the maintenance logs, at an operational offshore wind farm (OWF), with the purpose of identifying turbine failure rates, availabilities and losses and costs from maintenance and failures has been performed. The analysis has revealed two types of maintenance actions, one is cost of maintenance driven and the other cost of downtime driven. It is proposed that, given different characteristics, they should be approached differently in the context of failure predictions. It is also revealed that electrical components are critical to the failure rate and energy losses due to maintenance at the OWF. Electrical components represent approximately 28% of all failures and nearly 40% of revenue loss due downtimes from failure for the period analysed. The power converters drive most electrical failures and are of key commercial interest to the farm. As a result, the power converters should be the target for future prognostic model development. The analysis also shows that with perfect prediction and maintenance scheduling, this OWF could generate an extra 0.26% revenue and a generic 1GW OWF could generate an extra 0.6% extra energy and approximately £1.4m in revenue. This analysis did not reveal the benefit of taking fewer maintenance actions, which should be assessed in future work. Producing a combined prognostic maintenance scheduling method will generate extra wind farm revenues, reduce the number of maintenance actions taken and facilitate the work of maintenance teams.

Analysis of garlic farming revenue in Karanganyar Regency, Indonesia

Abstract Garlic (Allium sativum L.) is consumed as a cooking seasoning, flavoring, culinary, and herbal medicine. In Indonesia, domestic production is only about 5% of national consumption needs, so 95% of the shortfall comes from imports. Garlic is a superior agricultural product that has the potential to generate income for farmers. The purpose of this research is to analyze the income of garlic farming. The research was conducted in Karanganyar Regency using a proportional systematic random sampling method, and 194 farmers were selected. This research compares 3 planting seasons, which are divided into planting in April-May, June-July and August-November. Production inputs consist of seeds, manure, chemical fertilizers, insecticides, fungicides, labor, dolomite, and others. The results obtained, the average production cost per hectare is Rp.87,779,449,-.The proportion of the cost of buying seeds is 34.72%. The average production is 4.78 tons per hectare with an average price of Rp.20,848 per kilogram. The average income per hectare is Rp.87,977,271,-. The value of the R/C ratio is 1.002 (> 1), and the value of the B/C ratio is 0.002 (> 0). Thus, garlic farming in Karanganyar Regency is profitable, because the income (revenue) is greater than the costs incurred and it is still feasible to continue because it provides positive benefits.

Technological Acceptance of Cattle Farmers in Mobile Applications for Livestock Digital Marketing

The farmers have encountered challenges in conducting livestock trade due to the absence of dealer activity caused by Anthrax and Foot Mouth Disease (FMD) epidemics. In this context, it is crucial to utilize technology in livestock marketing to obtain current market information from distant marketplaces and reduce the risk of contagion. To meet these purposes, a mobile phone application has been developed in order to be used by cattle farmers; after that, market testing has been conducted to gain feedback and determine the segmentation. Thus, the study aimed to examine the differences in the perceived ease of use, perceived usefulness, and social impact amongst farmers who are willing and unwilling to embrace a mobile phone application for digital marketing. A total of 968 cattle farmers were surveyed with stratified random sampling techniques in the Special Region of Yogyakarta. The data obtained were analyzed using mean difference inferential analysis. The result showed that farmers with various categories of age, education, farm revenue, farmers group, farmer experience, cattle ownership, and regions have significantly different (p<0.01) perceived usefulness (PU), perceived ease of use (PE), and social influence (SI) on mobile applications for livestock digital marketing. Furthermore, farmers willing to adopt mobile application have significantly higher (p<0.01) PU, PE, and SI factors. This study recommends mobile app developers evaluate potential user needs and background factors that may influence farmers' interest.

Social farming and educational needs: how kindergarten farms could fill a gap

Kindergarten farms are educational initiatives aiming to reinforce or even create relationships between nature and future generations involving them in agricultural settings. They take the form of Outdoor Education (OE), intending to enhance the outdoor environment in its various configurations, from an educational perspective. From the agricultural side, these activities are included in social farming (SF), represents a union between the educative sphere and the agriculture world and offering added farm revenue with a multifunctional view. In Italy, these educational services within the farms (‘Agrinidi’ and ‘Agriasili’) have grown recently, contributing to the educational system where services are marginally available or lacking. This study has focused on the families' needs concerning early childhood services in support of work–life balance; it also investigated their attitudes and interest in OE and in a structured educational service within a farm. To achieve such an aim, a literature study about OE and the educational initiatives within the farm in Italy was carried out. This was followed by an online questionnaire, carried out with 510 resident of a region of Italy (Umbria). The findings indicate high interest in educational services organized in both nature and farms. The statistical and econometric analysis of a subsample of 161 respondents having children under 6 years old has underlined that the attitudes towards OE are affected by specific socio-demographic variables: income and educational levels. In this respect, older participants having a high degree of education and benefiting from a high economic status showed the highest level of preference for OE services. In the conclusions, we underline that developing educational services "Agriasili" and "Agrinidi" can contribute to strengthening the synergy between agriculture and the education sector. They carry out social functions for the creation of collective well-being. They represent a diversification of farm business and a response to citizens' needs for early childhood education in nature; moreover, they push implementation of policies encouraging the birth of these services in rural and peri-urban areas where they are lacking or crowded.

Carrots rather than sticks: Governance of voluntary sustainability standards and farmer welfare in Peru

AbstractAligned with the 2030 Sustainable Development Agenda, voluntary sustainability standards (VSS) have gained prominence as market‐based tools for sustainability governance. However, whether VSS improve economic sustainability remains subject to vigorous debate. A major limitation of the evidence base is that it does not systematically examine which VSS design attributes affect their impact. In this study, we develop a conceptual framework disentangling three main governance mechanisms through which VSS may affect farmer welfare, which we operationalize using secondary data from a nationally representative farm household survey in Peru. Our results underscore the dominant role of market‐based incentives, followed by capacity‐building, while rule enforcement with good agricultural practices has no effect on farm revenue. Additionally, organizational membership is found to amplify the revenue effects of VSS through market‐based incentives. Our findings advocate VSS organizations to strengthen market‐based incentives and capacity‐building, while improving standard setting and enforcement to effectively improve economic sustainability.

Conventional or organic cattle farming? Trade-offs between crop yield, livestock capacity, organic premiums, and government payments

CONTEXTAn important question for farmers is whether to run their farm conventionally or organically. This choice can significantly affect the farm's financial performance and its impact on the environment. OBJECTIVEThe primary objective of this study is to compare the profitability of conventional and organic cattle systems and investigate how it is associated with individual farm characteristics, like forage production capacity, forage quality, milk quota, animal housing capacity, and their relative presences. METHODWe employ a whole farm optimization model, customized for Norwegian cattle farming. The primary goal of this model is to maximize the gross margin by optimizing decisions related to land usage and animal inventory while adhering to a set of constraints. We systematically solve more than 200,000 model instances, with varying farm characteristics. RESULTS AND CONCLUSIONSThe results can be distilled to the following key points: If forage of good quality is readily available, but the livestock operation cannot be expanded due to animal housing and milk quota restrictions, organic may outcompete conventional farming. Otherwise, gross margin is maximized with conventional farming. These findings emphasize the crucial role of forage production capacity and quality in relation to available milk quota and infrastructure when considering the transition from conventional to organic farming. Extensive sensitivity analyses affirm the robustness of these conclusions. Regional regulatory factors, such as government farm payments, also play a significant role, and influence the optimal farming approach. Additionally, we show that increases in organic price premiums can markedly impact the competitiveness of organic farming, even in a system where government payments make out a significant part of the farm revenue. SIGNIFICANCEThe model can support farmers to make informed decisions about converting to organic or conventional farming. It can also be used by policymakers to determine the level of support required to make it worthwhile for different types of farms to convert. We also show that existing government payment schemes give rise to regional differences in the incentives for organic farming in Norway. To ensure equal incentives for organic farming across the country, the organic payments would have to be regionally adjusted, in line with the other already regionally dependent government payments. This insight may be of significant interest to policymakers and other stakeholders.

Can Creating an Agro-Product Regional Public Brand Improve the Ability of Farmers to Sustainably Increase Their Revenue?

Through the analysis of various typical cases, this study examines whether the establishment of an agro-product regional public brand (ARPB) can effectively boost the revenue of farmers and increase their share in the supply chain. The findings suggest that an early-stage ARPB can command a price premium for products, yet its overall contribution to farmers’ revenue remains limited due to scale constraints. The premium ability of an ARPB is influenced by product characteristics and sales strategies, underscoring the need to enhance control over terminal sales. Although the revenue of all operators in an ARPB supply chain shows an increase compared to that of a non-ARPB supply chain, the ratios of revenue allocated to farmers diminish. The Shapley value method was utilized to optimize the revenue-sharing in the supply chain, indicating a need to increase the share of revenue for farmers. This optimization necessitates the formation of a community of interests between farmers, processing enterprises, and sellers to facilitate the upstream movement of brand premiums. Furthermore, enhancing the government’s mediation and regulatory functions can provide farmers with more opportunities to partake in brand benefits.