Agribusiness Commons^™

Navigating Geopolitical Disruptions: Adaptive Strategies For The Agri-Food Sector, Barbara H. Skudrzyk

Dissertations

This study explores how Polish food supply chain stakeholders enhance global resilience in response to geopolitical disruptions. Focusing on the geopolitical conflict in Ukraine, this dissertation explores its effects on Poland’s agri-food supply chain and the adaptive strategies employed to foster resilience. The research aims to pinpoint and analyze the most significant operational risks within Polish agri-food supply chain stakeholders. This study explores how risks impact key areas of the supply chain, given their central role in food security and economic stability, and evaluates how well current strategies mitigate disruption and build resilience. Ultimately, this work develops a comprehensive framework …

Why Agtech Startups Fail? Evidence From Global Shutdown Patterns In 2025 And The Cost-Adoption Mismatch Effect, Ankit Chandra, Ishani Lal

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

Agricultural technologies are widely seen as a driver for sustainability, resilience, and food-system transformation. Yet in 2025, agtech startup across North America, Europe, Asia, and Africa experienced multiple shutdowns. Although each company closed for its own reasons, the failures highlight consistent underlying patterns. We analyze 18 publicly reported shutdowns across controlled-environment agriculture (CEA), robotics, insect protein, digital platforms, sensors, and ag-biotechnology. We find that most ventures struggled not with scientific feasibility but with economic and adoption dynamics at the farm level. We identify a Cost-Adoption Mismatch Effect, in which the capital and operational burden of a technology exceeds farmers’ capacity …

Brewing Resilience: Cooperatives, Micro-Mills, And The Quest For Survival In Costa Rica's Changing Coffee Landscape, Leila N. Iredell

Honors Theses

This thesis examines how different organizational models in Costa Rica's coffee sector shape producers’ ability to capture value, build resilience, and sustain rural livelihoods in a rapidly changing global market. In comparing traditional cooperatives and new micro-mills, I examine specifically how control over the value chain, access to markets, and social infrastructure differ across models and what these differences mean for the farmers who depend on them. This project analyzes how the collapse of international price agreements and decades of market volatility drove producers toward new strategies, from independent processing and direct trade to coffee tourism. Costa Rica stands as …

Between The Rails: Experiential Education And Its Impact On Compliance And Consistency In Racetrack Surface Management, Heather Mackenzie

Theses and Dissertations--Community & Leadership Development

Recent regulatory requirements within the Thoroughbred racing industry have increased expectations for consistent collection and reporting of racetrack surface data. Despite clear standards, implementation in daily operations remains inconsistent, highlighting a gap between regulation, knowledge, and practice. This study examined the impact of an experiential education curriculum on racetrack personnel’s self-efficacy and reporting consistency.

Using a quantitative design, data were collected through pre- and post-surveys measuring self-efficacy and records of the number of days surface data were entered. Descriptive statistics, paired-samples t-tests, and effect size analyses were used. Results showed a statistically significant increase in self-efficacy (p < .001) with large effect sizes, indicating meaningful gains in confidence and comfortability. Reporting consistency did not show a statistically significant change (p = .885).

Overall, experiential education …

Technical Skills And Their Roles In Agribusiness Supply Chain Management Education, Ryan Loy, Logan L. Britton, F. Bailey Norwood

Agricultural Economics and Agribusiness Faculty Publications and Presentations

The integration of advanced technical skills and supply chain management (SCM) tools is critical for the evolving demands of agribusiness. This study identifies the technical competencies, software proficiencies, and educational strategies essential for preparing students to excel in modern SCM roles. Through semi-structured interviews with 26 SCM professionals across US agribusiness sectors, the study highlights the demand for expertise in tools such as SAP, Power BI, and SQL alongside capabilities in data-driven decision-making and adaptability. Despite theoretical preparation, graduates often lack practical experience with industry-standard technologies, underscoring a gap in academic curricula. The findings suggest that agribusiness programs should emphasize …

The Impact Of A Kentucky Nutrition Education Program Social Marketing Campaign On Resident Health, Trinity Elizabeth Foster

Theses and Dissertations--Agricultural Economics

Poor diet quality and physical inactivity are common health issues in the United States. To remedy these issues among low-income households, the United States Department of Agriculture created the Supplemental Nutrition Assistance Program Education Program (SNAP-Ed), which promoted healthy eating and physically active lifestyles through multiple avenues. The social marketing approach of SNAP-Ed uses marketing strategies to relay information to the public. In Kentucky, a statewide billboard campaign was launched in 2018 encouraging residents to focus on nutrition and physical activity. This study investigates the impact of that campaign on health outcomes in counties throughout the state. Using billboard location …

Modelling Nature? The Digital Twinning And Untwinning Of Urban Farms, Prerona Das, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

Data-driven solutions and innovations have been extended to various industries, including agriculture, to increase efficiency. With the emergence of smart farming and agriculture 4.0, advanced technologies such as IoT, big data, machine learning, and cloud computing are increasingly integrated into farming. Among these, technologies such as digital models, digital twins and the metaverse are now used to control various farming activities remotely based on real-time data. However agricultural ecosystems, involving uncertain nature-based factors and complex human-nature interactions cannot always be accurately represented or predicted by digital models. Digital models aim to reduce natural environments into controllable game-like situations and undermine …

Energy Poverty, Economic Growth And Environmental Degradation In South Asia: Do Energy Resources Matter?, Memona Rasheed, Hooi Hooi Lean, Nam Foo

Research outputs 2022 to 2026

Developing countries can combat energy poverty by enhancing renewable energy and economic growth with minimal adverse environmental effects. In this paper, we present a comprehensive analysis of energy poverty, renewable energy, economic growth, carbon dioxide emissions, and urbanization (URB) in South Asian countries from 1990 to 2021, focusing on Pakistan, India, Bangladesh, and Sri Lanka. We employed econometric analysis techniques like Panel Pooled Mean Group (PMG)-Autoregressive Distributed Lag (ARDL), Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS) to provide empirical results, as they enable panel data and control for endogeneity. The findings suggested that the fight …

Urban Transportation And Marketing Efficiency Among Tomato Marketers In Oyo State, Nigeria, Chuks O. Idiaye, Isaac Busayo Oluwatayo, Nafisat O. Tijani

ASEAN Marketing Journal

The study examined the effect of urban transportation on tomato marketing efficiency using major markets in Ibadan metropolis in south-west Nigeria as case study. The data used were collected from a total of 170 tomato marketers using a structured questionnaire. The locations of the markets included Ibarapa Central, Ibarapa East, Ibarapa North, Ido, Lagelu, and Akinyele. Descriptive statistics, Shepherd’s measure of efficiency and Multinomial regression were used to analyze the data collected. Findings from the study revealed that transportation plays a crucial role in the marketing of tomato in Oyo state, Nigeria and that mini-cabs are the most preferred means …

Comparative Competitiveness Of Ugandan And Ethiopian Coffee In International Markets, Aaron Ecel, Robert Muwanga, Bob Ssekiziyivu, Oliver Nakanwagi

Business Management Review

Purpose: This study compares the global competitiveness of Ugandan and Ethiopian coffee exports, analyzing export performance, market dynamics, and structural determinants to inform policy interventions.

Design/Methodology/Approach: Using quantitative analysis of 2012-2023 trade data from UN Comtrade and ITC Trade Map, we apply Constant Market Share Analysis (CMSA) and Revealed Comparative Advantage (RCA) metrics.

Findings: Uganda demonstrated stronger growth in export value (156% from 2012–2023) and quantity (7% annual growth), driven by commodity composition effects (72.8%). However, its lower unit values ($2,578/unit) reflect reliance on bulk Robusta exports. Ethiopia, despite stagnant volume growth, commands premium prices ($5,186/unit) due to specialty Arabica …

Genetically Modified Crops In Africa: Evidence On Adoption, Economic Benefits, Environmental Effects, And Constraints, Aloyce Hepelwa, Innocensia John

Tanzanian Economic Review

Africa faces deep food insecurity with over 300 million undernourished people driven by, low agricultural productivity, and climate shocks. To enhance food production and sustainable development, there is potential seen in genetically modified (GM) crops. To explore the potential of GM crops, this paper examines their production, adoption, economic and environmental impacts, adoption barriers, and policy implications in Africa and globally. This is done using a structured narrative review of peer-reviewed literature, reports, and policy documents (2014–2024) sourced from different databases complemented by stakeholder consultations. The findings show that GM has expanded considerably worldwide driven by high productivity, reduced pesticide …

From Fruit To Nut: Revisiting Pili Nut (Canarium Ovatum Engl.) Production Capacities And Value-Adding Activities In Sorsogon, Philippines, Joey Richard V. Dio, Ryan V. Dio, Dulce Corazon F. Lacson

The Philippine Agricultural Scientist

The value chain of agricultural products significantly influences their profitability and socio-economic contribution. This study developed a descriptive model of the pili (Canarium ovatum Engl.) nut value chain in Sorsogon, the primary producer in the Philippines, and the only province with large-scale commercial operations. Using a descriptive research approach, data were collected through purposive interviews with 15 key informants—farmers, processors, and traders—guided by Porter’s value-chain framework. Results indicate that Sorsogon produces about 3 times the quantity required daily (< 2,233 kg) by Bicol-based processors, leading to underutilization and post-harvest losses attributed to limited storage facilities and market linkages. The processing stage, which converts pili fruits into nuts and kernels, demonstrates the highest operational efficiency, while the trading stage remains constrained by limited market access. Stakeholders often perform overlapping functions, and traditional sun-drying methods remain common. Furthermore, an aging farming population, limited succession planning, and inconsistent implementation of food safety standards continue to pose challenges to industry growth. These inefficiencies result in reduced profitability and restrict expansion. Strengthening the value chain through improved processing systems, broader market integration, and streamlined production activities is necessary to enhance economic returns and support the sustainable growth of Sorsogon’s pili nut industry.

Characterizing The Relationship Between Parturition In Beef Cattle And The Lunar Phase And Meteorological Factors., Caroline E. Chambers

Honors College Theses

For beef cattle, parturition is one of the most critical stages in the reproductive process. It is crucial that farmers understand the factors that may influence the timing of parturition. There is a persistent preconception that the onset of parturition is influenced by the lunar phase and weather factors. The objective of this study is to characterize the association between parturition in beef cattle, the lunar phase, and/or different weather factors such as barometric pressure and temperature. Cattle records were obtained from Chambers Family Farm in Cumberland Furnace, TN. Data was collected from 142 calvings from January 2017 to October …

National Halo And Culture Mixing: U.S. Consumer Acceptance Of Korean Cultivated Meat Made With Seaweed Components, Mark Chong, Angela K. Y. Leung, Tricia Marjorie Fernandez

Research Collection Lee Kong Chian School Of Business

The purpose of this qualitative study was to investigate U.S. consumers’ perception and acceptance of a “culturally mixed” product – i.e., cultivated meat (beef) made with Korean seaweed components – a product that involves the blending of a foreign cultural element (Korean seaweed) with a local cultural element (cultivated beef) to create a mixed cultural representation. Subsequently, it aimed to assess if the product’s country of origin (i.e., South Korea) would influence consumer perception and acceptance. Online in-depth interviews were conducted with 20 U.S. consumers recruited through two market research companies. The interview transcripts were analyzed by two trained coders …

Human Capital, Immigration, And Growth: A State-Level Dynamic Panel Study, William R. Cooper

Graduate Theses and Dissertations (2019 - present)

This study examines whether who immigrates, rather than how many, matters for state economic growth in the United States. It integrates a policy-relevant proxy for skill (H-1B approvals) into an augmented Solow framework that separates immigration's quantity channel from its human capital channel and estimates dynamic effects in a balanced quarterly panel of 50 states (2010 to 2023 ). The empirical strategy estimates a two-step difference GMM Arellano-Bond model that reinforces identification using a double/debiased machine learning (DML) variant that orthogonalizes high-dimensional nuisance components via cross-fitting. This design targets the distinct roles of immigrant headcount versus skill in per capita …

Economically Optimal Soil Sampling Density And Application Technology For Potassium Fertilizer For Soybean In The Mid-Southern Us, Bayarbat Badarch, Aurelie Poncet, Shelby Ridar, Nathan Slaton, Michael Popp

Agricultural Economics and Agribusiness Faculty Publications and Presentations

To maximize beneficial potassium (K) fertilizer use in irrigated soybean (Glycine max. (L.) Merr.) fields with spatially varying soil-test K (STK), the value of added information from more precise STK maps must be greater than the associated information collection costs. In eleven fields, we modeled the impact of soil sampling densities (SD) ranging from 2.2 samples ha-1 in the largest field (41.2 ha) to 13.59 samples ha-1 in the smallest field (7.4 ha) on STK maps with 0.4 ha grid size. The accuracy of profit-maximizing fertilizer rate prescription maps varied by SD and subsequent yield estimates using either uniform …

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

Western Australia’S Primary Industries: 2021-22 Economic Overview, D. Maharjan, S. Akbari, A K. Abadi Ghadim, P. Mattingley, I. Wilkinson, J. Tan, J. Van Staden, M. Radhakrishnan

All other publications

The Western Australia’s Primary Industries: 2021-22 Economic Overview (WAPIEO) is developed by DPIRD in partnership with the Forest Products Commission.

The WAPIEO has a trade focus and provides a single source for consistent statistics and insights on observed industry trends.

The WAPIEO is based primarily on 2021-22 economic indicators from the Department of Treasury, DPIRD data, and statistics from the Australian Bureau of Statistics (ABS), in line with the release cycle dates of final ABS data.

Biosecurity Investment Impacts On Highly Pathogenic Avian Influenza Control In United States Commercial Turkey Operations, Jada M. Thompson, Kelly Patyk, Victoria Fields, Matthew Branan, Amy Delgado, Kylie Roesler

Agricultural Economics and Agribusiness Faculty Publications and Presentations

Highly pathogenic avian influenza (HPAI) is an extremely transmissible virus that poses a significant threat to the U.S. turkey industry through contagion from migratory birds and results in whole-farm depopulation. To combat the disastrous economic impacts of HPAI, this study examined how biosecurity investments may have economic benefits to producers and the industry. Using data collected from a farm-focused survey of commercial turkey producers, the differences in biosecurity practices between farms affected by HPAI and unaffected farms in 2022 were analyzed. This evaluation aims to understand how effective biosecurity investments were towards reducing the susceptibility of a turkey farm to …

Utilizing Ensemble Learning Techniques To Enhance Corn Price Prediction: A Case Study On South Dakota, Youssef Harrath, Jihene Kaabi, Ethan Price

Research & Publications

Predicting crop prices is a complex challenge that farmers must navigate each year, but machine learning algorithms can provide valuable insights to support more informed decision making. In recent years, agricultural price prediction models have made significant advances, with architectures achieving varying degrees of success. However, ensuring the accuracy and reliability of these models remains an ongoing challenge. This research explores the use of stacking, an ensemble learning technique, to enhance the performance of base models in predicting corn prices in many regions of the state of South Dakota in the USA. We propose a hybrid architecture that combines Long …