Agricultural Economics Research Articles

Comparing Apples and Oranges: Advances in Disease Resistance Breeding of Woody Perennial Fruit Crops.

Apple and citrus are perennial tree fruit crops that are vital for nutritional security and agricultural economy and to achieve the Sustainable Development Goals of the United Nations. Apple scab and fire blight, along with Huanglongbing, canker, and tristeza virus, stand out as their most notorious diseases and annually destabilize fruit supply. An environmentally sound approach to managing these diseases is improving tree resistance through breeding and biotechnology. Perennial fruit tree germplasm collections are distributed globally and offer untapped potential as sources of resistance. However, long juvenility, specific pollination and flowering habits, and extensive outcrossing hinder apple and citrus breeding. Advances in breeding approaches include trans- and cis-genesis, genome editing, and rapid-cycle breeding, which, in addition to conventional crossbreeding, can all facilitate accelerated integration of resistance into elite germplasm. In addition, the global pool of available sources of resistance can be characterized by the existing genetic mapping and gene expression studies for accurate discovery of associated loci, genes, and markers to efficiently include these sources in breeding efforts. We discuss and propose a multitude of approaches to overcome the challenges of breeding for resistance in woody perennials and outline a technical path to reduce the time required for the ultimate deployment of disease-resistant cultivars.

Regional differences in beef cattle trade and movements associated with the COVID-19 pandemic in Australia

Context The COVID-19 pandemic caused mandated restrictions on movements and distancing of people with implications for meat supply chains. Despite the COVID restrictions, agricultural activities were permitted to continue as essential services in Australia. However, there were reported shortages of meat on the shelves of supermarkets and a general increase in the price of meat in Australia during the COVID period. Hence, there is a need to establish whether the restrictions affected upstream activities in Australia’s beef supply chain. Aim This study aims to examine the impact of the COVID-19 pandemic and confounding factors including rainfall and export bans on beef cattle trade and movement in Australia. Methods Using annual data on beef cattle sold, purchased, transferred off-farm and transferred onto farms sourced from the database of the Australian Bureau of Agricultural and Resource Economics and Sciences, a t-test analysis was conducted to establish the significant changes in cattle movement and trade for the pre-COVID (2014–2019) and COVID (2020–2022) periods. Additionally, a flexible least squares model augmented with a flexible generalised least squares model was used to assess the impact of confounding factors on cattle trade and movement. Key results The results indicate no significant change in the proportion of beef cattle sold nationwide. Tasmania, New South Wales, and Western Australia (WA) recorded significant changes (1.4% increase, 3.6% increase, and 3.8% decrease, respectively) in the proportion of beef cattle purchased. For WA, these changes were localised to changes that occurred in WA Central and Southern Wheat Belt and WA Southwest Coastal regions. Moreover, rainfall did not significantly impact cattle trade but did affect cattle movements. The export ban only significantly impacted beef cattle sold in Queensland. Conclusions Overall, the findings suggest that most regions in Australia did not experience significant changes in farm-level decisions regarding beef cattle movement and trade during the COVID period. Instead, minor adjustments were made to address the demand changes. Implications The findings imply that adopted policies that facilitated the implementation of biosecurity bubbles and the movements of animal transport workers for breeding facilities and abattoirs during the COVID period were effective in normalising farm-level operations.

An experimental study of acoustic bird repellents for reducing bird encroachment in pear orchards.

Bird invasion will reduce the yield of high-value crops, which threatens the healthy development of agricultural economy. Sonic bird repellent has the advantages of large range, no time and geographical restrictions, and low cost, which has attracted people's attention in the field of agriculture. At present, there are few studies on the application of sonic bird repellents in pear orchards to minimize economic losses and prolong the adaptive capacity of birds. In this paper, a sound wave bird repellent system based on computer vision is designed, which combines deep learning target recognition technology to accurately identify birds and drive them away. The neural network model that can recognize birds is first trained and deployed to the server. Live video is captured by an installed webcam, and the sonic bird repellent is powered by an ESP-8266 relay switch. In a pear orchard, two experimental areas were divided into two experimental areas to test the designed sonic bird repellent device, and the number of bad fruits pecked by birds was used as an indicator to evaluate the bird repelling effect. The results showed that the pear pecked fruit rate was 6.03% in the pear orchard area that used the acoustic bird repeller based on computer recognition, 7.29% in the pear orchard area of the control group that used the acoustic bird repeller with continuous operation, and 13.07% in the pear orchard area that did not use any bird repellent device. While acoustic bird repellers based on computer vision can be more effective at repelling birds, they can be used in combination with methods such as fruit bags to reduce the economic damage caused by birds.

Differentiated In-Row Soil Management in a High-Density Olive Orchard: Effects on Weed Control, Tree Growth and Yield, and Economic and Environmental Sustainability

Two different in-row soil management techniques were compared in the Olive Orchard Innovation Long-term experiment of the Council for Agricultural Research and Economics, Research Centre for Olive, Fruit, and Citrus Crops in Rome, Italy. Rows were managed with an in-row rotary tiller and with synthetic mulching using permeable polypropylene placed after cultivar Maurino olive trees planting. The effects of the two treatments were assessed through weed soil coverage and the growth of the olive trees. Results showed better agronomic performance associated with synthetic mulching. The weed control effect along the row of a young high-density olive orchard was higher with the synthetic mulching compared to hoeing. The effect of the synthetic mulching seemed to disappear when removed from the ground (spring 2023) since no significant differences were found for tree size and yield in the two tested in-row soil management systems at the end of 2023. Finally, the growth of the young olive trees (Trunk Cross Sectional Area, Height, and Canopy expansion) measured across the three years, was higher for the synthetic mulched row than the hoed one. The use of synthetic mulching along the row positively forced the vegetative growth of the young olive trees and anticipated the onset of fruit production compared to periodical hoeing: a significantly higher fruit production was registered three years after planting. Root diameter was higher under synthetic mulching one year after planting, and no differences were observed in the following sampling dates showing similar fluctuations linked to the seasonal growth pattern. The life cycle assessment and costing highlighted that the application of mulching had a higher eco- and economic-efficiency than the periodical in-row soil hoeing.

Evaluation of the Biostimulant Activity and Verticillium Wilt Protection of an Onion Extract in Olive Crops (Olea europaea).

The olive tree is crucial to the Mediterranean agricultural economy but faces significant threats from climate change and soil-borne pathogens like Verticillium dahliae. This study assesses the dual role of an onion extract formulation, rich in organosulfur compounds, as both biostimulant and antifungal agent. Research was conducted across three settings: a controlled climatic chamber with non-stressed olive trees; an experimental farm with olive trees under abiotic stress; and two commercial olive orchards affected by V. dahliae. Results showed that in the climatic chamber, onion extract significantly reduced MDA levels in olive leaves, with a more pronounced reduction observed when the extract was applied by irrigation compared to foliar spray. The treatment also increased root length by up to 37.1% compared to controls. In field trials, irrigation with onion extract increased the number of new shoots by 148% and the length of shoots by 53.5%. In commercial orchards, treated trees exhibited reduced MDA levels, lower V. dahliae density, and a 26.7% increase in fruit fat content. These findings suggest that the onion extract effectively reduces oxidative stress and pathogen colonization, while enhancing plant development and fruit fat content. This supports the use of the onion extract formulation as a promising, sustainable alternative to chemical treatments for improving olive crop resilience.

Rural infrastructure development in the context of seasonal employment in agriculture of the Russian Federation

The article examines the little-studied issue of seasonal employment in the agricultural economy as a vector of the employment category, the importance of which increases every year. In this regard, the purpose of the study is to develop proposals for improving state regulation of social protection issues for seasonal workers in agriculture. The long-overdue issues of regulating the labor relations of Russian agricultural producers with workers employed for seasonal work in terms of social guarantees require timely solutions. Also on the agenda are the acute problems of providing basic living conditions for the employees involved, especially with regard to housing conditions, transport and telecommunications infrastructure. As of the end of 2022, only 72 % of rural settlements have paved roads connected to the public road network, and the proportion of households in rural settlements with Internet access amounted to 81.2 %. The scientific novelty of the research consists in the development of specific measures of state participation in the development of basic rural infrastructure and the creation of favorable living conditions for seasonal workers in agricultural production. In particular, measures are proposed to stimulate the involvement of seasonal workers with the prospect of improving housing conditions. The use of the mechanism of concession agreements in terms of the development of transport infrastructure and the application of proven foreign practices in the development of telecommunications infrastructure, taking into account the consolidation at the legislative level, will allow the most effective use of the workforce of seasonal workers in the agricultural sector.

Building Resilient Food Security Against Global Crisis: New Evidence From China

ABSTRACTThe existing literature addresses the importance of food system disruptions and the risk of the global food crisis. However, there is insufficient understanding of response strategies and their effectiveness evaluations. This study offers a comprehensive introduction to China's food security policies and evaluates their effectiveness in enhancing the nation's risk resistance capability. Utilizing the Entropy Weight Method (EWM) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), we evaluated China's provincial food security resilience (FSR) from 2003 to 2020 and adopted the ArcGIS platform to map spatiotemporal trends. Our findings reveal significant improvements in FSR nationwide, with a notable average annual growth rate of 1%–5%. However, regional disparities persist, with higher resilience observed in eastern provinces compared to the west. The study emphasizes the effectiveness of China's food security policies, which have synergistically enhanced grain production, agricultural mechanization, and farmers’ economic conditions. The article offers policy recommendations aimed at bolstering China's FSR and challenges with global implications. Our study contributes to the broader discourse on global food security by offering a nuanced understanding of the effectiveness of policy interventions in a major agricultural economy.

Understanding the farm economics of farmers under different stages of transition from conventional farming toward agroecological farming in Madhya Pradesh

Understanding the farm economics of farmers under different stages of transition from conventional farming toward agroecological farming in Madhya Pradesh

The Impact of Domestic Public Debt on Agricultural Government Investment and Economic Growth: Evidence from Iraqi between 2004 and 2022

The study aims to assess the impact of domestic public debt (DPD) on agricultural government investment (AGI) and economic growth in Iraq from 2004 to 2022 using the Autoregressive Distributed Lag (ARDL) model. The results demonstrate a significant cointegration relationship between DPD and economic growth, as indicated by the negative error correction coefficient (–0.0622), which is statistically significant at the 5% level. The study finds that DPD has a considerable positive effect on economic growth in the short term (2.5695) and long run (7.7793), with statistical significance at the 1% and 5% levels, respectively. Conversely, DPD did not have any discernible impact on AGI. The DPD and AGI were not cointegrated during the research period. Based on these findings, it is recommended that the Iraqi government formulate a clear strategy to manage DPD and establish precise criteria for the principles and conditions governing the use of domestic loans to optimize their effectiveness in agricultural economic development.

Стратегічні засади переформатування логістичних ланцюгів агропродовольчої продукції в систему замкнених циклів у парадигмі циркулярної економіки

The article reveals the features of transforming the logistics chains of agri-food supply into a system of closed cycles. Also, it suggests strategies for reformatting the logistics chains of agri-food products into a system of closed cycles. In particular, a scheme for the operational implementation of the transformational processes of reformatting the logistics chains of agro-food products into a system of closed cycles is proposed. It has been established that one of the critical aspects of the circular agricultural economy is the return of nutrients to the soil through the processing of bio-waste and renewable fertilizers, which contributes to the preservation of fertility and natural capital. This is critical to prevent nutrient deficiencies in agriculture and reduce pollution. Organic and food waste management is at the heart of the transition to circular agriculture, which minimizes dependence on external resources, mitigates environmental impact, and uses waste to create bioenergy and biofertilizers. The number of fines imposed on business entities for violating the legislation in the field of household waste management in Ukraine has been determined. It is substantiated that the experience of foreign countries indicates the critical direction for developing a national strategy for the transition to a circular agro-food economy of Ukraine based on the principles of sustainable development. Among the main development strategies, the following stand out: the strategy of clean, sustainable growth, focused on minimizing climate change and stimulating eco-innovations; bioeconomy strategy, which involves the use of biological resources for sustainable development and preservation of biodiversity; as well as a national waste management strategy that emphasizes the minimization of agricultural waste and the support of closed production cycles. Keywords: circular economy, sustainable development, agrarian sector of the economy, supply chains, disposal of food waste, development strategies.

Selection of Suitable Organic Amendments to Balance Agricultural Economic Benefits and Carbon Sequestration.

Long-term excessive use of fertilizers and intensive cultivation not only decreases soil organic carbon (SOC) and productivity, but also increases greenhouse gas emissions, which is detrimental to sustainable agricultural development. The purpose of this paper is to identify organic amendments suitable for winter wheat growth in the North China Plain by studying the effects of organic amendments on the economic benefits, carbon emissions, and carbon sequestration for winter wheat fields and to provide a theoretical basis for the wide application of organic amendments in agricultural fields. The two nitrogen rates were N0 (0 kg ha-1) and N240 (240 kg ha-1), and the four organic amendments were straw, manure, mushroom residue (M R), and biochar. The results showed that, compared to N0, N240 significantly increased the yield by 244.1-318.4% and the organic carbon storage by 16.7-30.5%, respectively, but increased the carbon emissions by 29.3-45.5%. In addition, soil carbon stocks increased with all three types of organic amendments compared to the straw amendment, with the biochar treatment being the largest, increasing carbon storage by 13.3-33.6%. In terms of yield and economic benefits, compared to the straw amendment, the manure and biochar amendments increased winter wheat yields by 0.0-1.5% and 4.0-13.3%, respectively, and M R slightly decreased wheat yield; only the economic benefit of the M R amendment was greater than that of the straw amendment, with an increase in economic benefit of 1.3% and 8.2% in the 2021-2022 and 2022-2023 seasons, respectively. Furthermore, according to the net ecosystem productivity (NEP), N0 was the source of CO2, while N240 was a sink of CO2. The TOPSIS results showed that N240 with a mushroom residue amendment could be recommended for increasing soil carbon stocks and economic benefits for winter wheat in the NCP and similar regions. Low-cost M R can increase farmer motivation and improve soil organic carbon, making a big step forward in the spread of organic materials on farmland.

Understanding Market Dynamics and Profitability in Small Ruminant Marketing: An Economic Analysis in Southern Karnataka, India

Small ruminants, particularly sheep and goats, play a crucial role in India's agricultural economy, serving as a significant source of income and livelihood for millions of small and marginalized farmers. In regions like Southern Karnataka, where livestock farming is integral part of rural households as they are not only a source of meat, wool, and milk but also provide financial security during times of economic distress. Despite their importance, the marketing of small ruminants remains largely unorganized, posing significant challenges for farmers. The marketing of small ruminants such as sheep and goat involves the procurement of animals at primary markets from farmers, selling these animals at local markets, and further distribution to terminal markets through wholesalers or commission agents. For sheep and goat farmers, selecting the appropriate marketing channel is crucial, as the benefits they receive are largely dependent on this choice. The chosen channel must minimize marketing costs while maximizing the farmer's share of the consumer's rupee. So, this study was undertaken focusing on analysing the existing marketing channels for small ruminants in Karnataka, particularly sheep and goats, and to evaluate the cost structure of different marketing channels, understand the role of middlemen, and propose measures to reduce marketing costs and improve the farmers' share of profits. In the study area, four primary marketing channels were identified: (1) Farmer → Village Trader → Wholesaler/Butcher, (2) Farmer → Local Trader → Wholesaler/Butcher, (3) Farmer → Local Trader → Farmer, and (4) Farmer → Wholesaler → Distant Trader. The cost of marketing is a significant concern for sheep and goat farmers, encompassing expenses such as transportation, feeding, market fees, middlemen charges, personnel expenses, and loading/unloading fees. The average marketing cost per animal across various channels was ₹91.71, with transportation costs making up the largest portion (49.61%), followed by feeding costs (14.72%) and middlemen charges (17.01%).This highlights the challenges related to high transportation costs and inadequate market facilities, particularly for sheep and goat marketing. So, to improve the marketing efficiency and reduce costs for sheep and goat farmers, there is a need for the establishment of regulated markets for livestock and enhancing the transportation facilities in the rural areas to help farmers realize better prices for their small ruminants.

Regional analysis of agricultural bank liquidity

PurposeThe purpose of this article is to determine the regional economic factors and bank characteristics that significantly contribute to changes in bank liquidity. We also seek to identify regions that may be most susceptible to liquidity tightening.Design/methodology/approachFor this article we use data on deposits from commercial banks, Federal Reserve survey data and indicators of regional and agricultural economic conditions. We specify a panel regression with fixed effects to model how liquidity at agricultural banks has changed and to identify the most significant drivers.FindingsOur results suggest that small banks and banks with branch networks located in areas more concentrated in agricultural production bear the greatest risk of reduced liquidity.Practical implicationsPrior to the pandemic and more recently, lower deposit growth, combined with strong demand for agricultural loans, has led to reductions in liquidity at agricultural banks. Lower liquidity could reduce credit availability for farm borrowers and increase risks for banks that must rely on alternative sources of funding to meet loan demand.Originality/valuePrevious research has shown that exogenous shocks from other economic sectors, such as energy, can significantly affect bank liquidity, but research is limited on how agricultural bank liquidity is affected by downturns in the agricultural economy and other regional economic factors. Another contribution is this paper’s analysis of regional disparities in bank liquidity.

Digital Economy Development, Agricultural Technology Innovation and Agricultural Economy Resilience

Based on the provincial data of 2013-2022, this paper discusses the mechanism of agricultural economy resilience affected by the development of digital economy. The results are obtained by using fixed effect, intermediary effect and threshold effect as follows: (1) the development of digital economy can improve the resilience of agricultural economy, and the conclusion passes the robustness test. (2) Mechanism test shows that agricultural technology innovation indirectly acts between the digital economy and the resilience of the agricultural economy. (3) Through the threshold model, it is found that the non-linear characteristics of agricultural technology innovation appear. Therefore, in order to improve the resilience of agricultural economy, the paper puts forward suggestions on strengthening regional infrastructure construction and enhancing the support for agricultural technology innovation.

Research on a Trellis Grape Stem Recognition Method Based on YOLOv8n-GP

Grapes are an important cash crop that contributes to the rapid development of the agricultural economy. The harvesting of ripe fruits is one of the crucial steps in the grape production process. However, at present, the picking methods are mainly manual, resulting in wasted time and high costs. Therefore, it is particularly important to implement intelligent grape picking, in which the accurate detection of grape stems is a key step to achieve intelligent harvesting. In this study, a trellis grape stem detection model, YOLOv8n-GP, was proposed by combining the SENetV2 attention module and CARAFE upsampling operator with YOLOv8n-pose. Specifically, this study first embedded the SENetV2 attention module at the bottom of the backbone network to enhance the model’s ability to extract key feature information. Then, we utilized the CARAFE upsampling operator to replace the upsampling modules in the neck network, expanding the sensory field of the model without increasing its parameters. Finally, to validate the detection performance of YOLOv8n-GP, we examined the effectiveness of the various keypoint detection models constructed with YOLOv8n-pose, YOLOv5-pose, YOLOv7-pose, and YOLOv7-Tiny-pose. Experimental results show that the precision, recall, mAP, and mAP-kp of YOLOv8n-GP reached 91.6%, 91.3%, 97.1%, and 95.4%, which improved by 3.7%, 3.6%, 4.6%, and 4.0%, respectively, compared to YOLOv8n-pose. Furthermore, YOLOv8n-GP exhibits superior detection performance compared with the other keypoint detection models in terms of each evaluation indicator. The experimental results demonstrate that YOLOv8n-GP can detect trellis grape stems efficiently and accurately, providing technical support for advancing intelligent grape harvesting.

Research on food security issues considering changes in rainfall

Ensuring food security is not only vital to the adequate supply of food in the world, but also the key to the economic development and social stability of various countries. Based on the panel data of 29 provinces in China from 2016 to 2020, this paper selects the number of foodborne diseases patients and iodine deficiency disease patients as reference objects, uses stunting rate of children under 5 years old, malnutrition rate of children under 5 years old, obesity rate of children under 5 years old, and newborn visit rate to measure improving nutrition, proposes Meta Entropy Two-Stage Dynamic Direction Distance Function (DDF) Under an exogenous Data Envelopment Analysis (DEA) model to measure the efficiency of hunger eradication, food security, and improving nutrition under the influence of exogenous variable rainfall. The research results indicate that the sustainability of China’s agricultural economy is insufficient, and the focus of attention should be different in different stages. In addition, the average efficiency of the three regions generally shows a decreasing level in the eastern, western, and central regions. In order to improve China's ability to guarantee food security, we must continue to strengthen the construction of agricultural infrastructure, increase policy support for green agricultural production, promote the diversification of agricultural production, and enrich people’s agricultural product consumption varieties.

Role of Women in Paddy Cultivation - A Study in Pakala Mandal, Tirupati District, Andhra Pradesh

Women make essential contributions to the agricultural and rural economies in all developing countries. Their roles vary considerably between and within regions and are changing rapidly in many parts of the world, where economic and social forces are transforming the agricultural sector. Rural women often manage complex households and pursue multiple livelihood strategies. Their activities typically include producing agricultural crops, tending animals, processing and preparing food, working for wages in agricultural or other rural enterprises, collecting fuel and water, engaging in trade and marketing, caring for family members and maintaining their homes. Many of these activities are not defined as economically active employment in national accounts but they are essential to the well-being of rural households. The paper presents the role of women in paddy cultivation in Pakala Mandal of Tirupati District of Andhra Pradesh.

Revolutionising agriculture and rural economy through digital transformation: Bridging theory with practice

Revolutionising agriculture and rural economy through digital transformation: Bridging theory with practice

The role of reskilling programmes on the digital transformation at a large financial services organisation

The primary goal of this study was to examine the role of reskilling programmes on digital transformation at a Large Financial Services Organisation. The business climate and the world of work are going through an unprecedented large-scale transition - such as the transition from the agricultural economy to the industrial revolution. The era of digitisation, automation and acceleration is upon us. The society is in an economy where new critical skills have emerged and these new emerging skills have become necessary for individuals, businesses, and the economy to succeed. However, very little research has been done on the role of reskilling programmes on the digital transformation at a Large Financial Services Organisation. The study employed quantitative research and a structured closed questionnaire was used to collect field data from a selected sample of 88 respondents drawn from a target population in the study area. The field data were analysed using the Statistical Package for Social Sciences (SPSS), version 29. Statistical tools, including frequency tables, pie charts, and graphs, were used to analyse data. The study findings indicate that jobs have been significantly affected by digital transformation and new emerging job functions in large financial services organisations. A digital transformation programme had a direct relationship with the implementation of reskilling programmes. The study recommended that designing technology-focused training programmes appropriately and selecting or creating technology-focused training programmes with essential elements are necessary for successful outcomes.

Agricultural Economic Water Productivity Differences across Counties in the Colorado River Basin

This study estimates the relative contribution of different factors to the wide variation in agricultural economic water productivity (EWP) across Colorado River Basin counties. It updates EWP measures for Basin counties using more detailed, localized data for the Colorado River mainstem. Using the Schwarz Bayesian Information Criterion for variable selection, regression analysis and productivity accounting methods identified factors contributing to EWP differences. The EWP was USD 1033 (USD 2023)/acre foot (af) for Lower Basin Counties on the U.S.–Mexico Border, USD 729 (USD 2023)/af for other Lower Basin Counties, and USD 168 (USD 2023)/af for Upper Basin Counties. Adoption rates for improved irrigation technologies showed little inter-county variation and so did not have a statistically significant impact on EWP. Counties with the lowest EWP consumed 25% of the Basin’s agricultural water (>2.3 million af) to generate 3% of the Basin’s crop revenue. Low populations/remoteness and more irrigated acreage per farm were negatively associated with EWP. Warmer winter temperatures and greater July humidity were positively associated with EWP. When controlling for other factors, being on the Border increased a county’s EWP by USD 570 (2023 USD)/af. Border Counties have greater access to labor from Mexico, enabling greater production of high-value, labor-intensive specialty crops.