The Food Water Energy Nexus in Agriculture: Understanding Regional Challenges and Practices to Sustainability
Abstract
:1. Introduction
2. Materials and Methods
- (1)
- Trend analysis focused on understanding global research patterns and the evolution of FWE nexus studies in agriculture by examining annual publication trends and the distribution of publications across journals;
- (2)
- Network analysis mapped international collaboration by examining country-specific publication counts and co-authorship relations, derived from authors’ institutional affiliations. To analyze co-authorship patterns, the Spinglass clustering algorithm was employed due to its demonstrated effectiveness in detecting research communities within large-scale networks, particularly those formed by shared academic interests [21,22]. For robustness, an association normalization technique was applied to adjust co-occurrence frequencies, mitigating biases and providing a more accurate measure of collaborative ties [23]. This approach visualized global research dynamics and regional disparities, offering insights into international collaboration patterns and variations in the focus of FWE nexus studies across countries and regions;
- (3)
- Knowledge production analysis examined the evolution of research topics and methodologies in articles published between 2000 and 2024 through two main approaches: (1) topic trend analysis using authors’ keywords and (2) thematic development analysis through abstracts. For topic trend analysis, the authors’ keywords were analyzed using a standardized list of synonyms, including terms such as FEW, FWE, food–water–energy nexus, water–food–energy nexus, sustainability, and sustainable development, to ensure uniformity and clarity in identifying key research topics. For thematic development analysis, a synonym list and bigram analysis were used to capture co-occurring and recurring themes in the abstracts. To assess thematic evolution over time, the abstracts were classified into distinct timeframes, allowing for the identification of trends and shifts in research focus across different periods;
- (4)
- Agricultural context analysis used a systematic text mining approach to identify and analyze the FWE nexus challenges and methods in agricultural sustainability across different regions. The analysis was conducted using RStudio, where several custom functions were developed to categorize the articles, identify regional challenges, and assess common methodologies. Below is a detailed outline of the steps involved in the analysis:
- Categorization of articles: The 929 selected articles were categorized into nine major geographical regions (East Asia, Southeast Asia, South Asia, Middle East, Africa, Europe, Oceania, North America, and South America) using text-mining techniques in RStudio. A custom R function, “classify_region()”, was developed to detect country names within the text by applying a predefined list of countries mapped to their respective regions through case-insensitive exact matching. To create a comprehensive text corpus, multiple fields from each article were extracted and combined, including the title (TI), descriptors (author’ keywords) (DE), identifiers (ID), abstracts (AB), and author addresses (C1). Articles without any country-related terms are categorized as “others” and excluded from further analysis.
- Limitation: This method may miss regionally relevant papers that use general terms (e.g., “Mekong region”, “Sub-Saharan Africa”) without specifying country names. Additionally, misclassification could occur due to country names used in non-geographical contexts.
- Identification of regional challenges: After classifying the articles by region, a keyword-based text mining approach was employed to identify key challenges related to the FWE nexus in agriculture. This analysis was conducted in RStudio using a custom function, “analyze_challenges()”, designed to detect a predefined vocabulary of challenge-related terms (e.g., scarcity, pollution, irrigation, innovation, climate change, and health impacts). These terms were mapped to broader challenge categories, including water scarcity, water quality, infrastructure, management issues, climate impacts, agricultural challenges, technology gaps, social and economic constraints, environmental degradation, urban water issues, energy-related concerns, data limitations, governance challenges, and health-related impacts. The vocabulary and categories were informed by the comprehensive overview of FWE nexus challenges outlined by the World Business Council for Sustainable Development (WBCSD, 2014) [24]. The function systematically extracted relevant terms from the text corpus and matched them to the corresponding challenge categories, enabling a structured regional analysis of agricultural nexus issues.
- Limitation: Semantic ambiguity can affect accuracy; for example, the word “scarcity” may appear in different contexts not directly related to the challenge categories. Also, variations in terminology may cause under-detection. Manual validation of a sample or integration of contextual phrase analysis could help mitigate this limitation.
- Frequency calculation of challenges: The data were subjected to text standardization, and a region-challenge matrix was created to quantify the frequency of challenges for each region, providing statistical insights into their prevalence.
- Limitation: While frequencies highlight commonly discussed challenges, they may not fully reflect contextual depth or the relative severity of issues across regions. Additionally, high-frequency terms may be influenced by research trends rather than real-world urgency. Further qualitative review could complement the frequency analysis.
- Identification of common methods: To systematically identify common methodologies prevalent in FWE nexus research, text mining techniques were applied in RStudio, leveraging a predefined keyword-matching approach. This approach was structured based on a classification scheme adapted from key analytical methods identified in prior systematic reviews of nexus studies [25,26]. Based on this framework, a dictionary-based classification system is developed and divided into 12 key categories: system dynamics, life cycle assessment, multi-criteria decision analysis, resource modeling, remote sensing, optimization, crop modeling, hydro-economic analysis, integrated assessment, stakeholder analysis, scenario analysis, and input–output analysis. The classification function, “analyze_methods()”, was designed to detect occurrences of method-related keywords (e.g., “system dynamics”, “causal loop”, “LCA”, “multi-criteria”, “GIS”, “optimization”) within the text corpus. This function uses string pattern matching and case-insensitive keyword detection to assign each paper to one or more methodological categories based on the presence of relevant terms in the title, abstract, and keyword sections. The classification not only facilitates a systematic organization of methodological trends but also helps to simplify and standardize method-related terminology, which is often inconsistent across studies. Given the diverse ways in which FWE nexus methodologies have been described, grouping similar approaches under broader categories enhances clarity and comparability. This structured approach enables a more effective analysis of how different methods contribute to understanding and managing FWE nexus challenges. Additionally, a region-method matrix was constructed to assess the distribution of methodological approaches across geographical regions, providing insights into regional variations in FWE nexus research.
- Limitation: The diversity of terminology in methodological descriptions means that some methods might be misclassified or overlooked. For instance, papers using unique or less common terms for standard approaches may escape detection. Moreover, keyword detection cannot capture methodological depth or implementation rigor. Including a manual review of selected cases could enhance accuracy.
3. Results
3.1. Trends in Research on the FWE Nexus
3.1.1. Distribution of Scientific Publications
3.1.2. Number of Scientific Publications by Journals
3.2. Network Analysis
3.3. Knowledge Production Analysis
3.4. Agricultural Context Analysis
3.4.1. Regional Classification of Research Articles
3.4.2. Categorization of FWE Nexus Challenges in Agriculture
3.4.3. Regional Analysis of FWE Nexus Challenges
3.4.4. Categorization of Methodological Approaches
3.4.5. Regional Analysis of Research Methodologies
3.4.6. Interpreting Regional Variations Through a Comparative Framework
- Research Capacity: It is reflected in the volume of publications, and the diversity of methodologies used varies significantly across regions. Developed regions such as North America, Europe, and East Asia benefit from robust research infrastructures and institutional support, which contribute to a higher volume of publications and a broad array of methodological approaches. These regions focus on optimizing resource use, addressing sustainability, and integrating technological innovations. In contrast, regions such as Africa, South Asia, and Southeast Asia generally have lower research capacities. This is reflected in a more limited methodological diversity, with a stronger emphasis on addressing immediate, fundamental challenges such as resource management, climate impacts, and governance issues;
- Governance and Policy Structure: Governance and policy frameworks play a decisive role in shaping how regions address FWE nexus challenges. In developed regions such as North America, Europe, and East Asia, well-established institutional structures facilitate the integration of water, energy, and food security policies. This strong policy coordination enables the implementation of comprehensive management strategies, allowing these regions to prioritize challenges such as environmental sustainability, system optimization, and long-term resource planning. In contrast, developing regions, including Africa, South Asia, and Southeast Asia, often contend with fragmented governance systems and weak policy integration. These structural limitations exacerbate challenges related to resource allocation, equitable access to resources, and institutional capacity building. The prevalence of issues such as water scarcity, economic constraints, and social inequalities in these regions underscores the urgent need for strengthened governance mechanisms. Consequently, research and practice in developing regions tend to emphasize participatory governance approaches, stakeholder engagement, and strategies aimed at improving policy coherence. This comparison highlights a clear divergence: while strong governance systems in developed regions enable a shift toward proactive, integrative management, weaker governance structures in developing regions often necessitate a reactive focus on addressing immediate institutional and policy deficiencies to advance sustainable agricultural management;
- Infrastructure and Technological Context: Variations in infrastructure and technological development significantly influence how regions approach FWE nexus challenges. In regions such as East Asia, North America, and Europe, well-established technological systems enable the adoption of advanced methodologies focused on system optimization, integrated resource management, and sustainability innovation. Challenges in these areas tend to emphasize the modernization of aging infrastructure, the integration of emerging technologies, and the pursuit of high-efficiency, low-impact resource use. Conversely, regions with limited infrastructural development, including Africa, South Asia, and Southeast Asia, face challenges centered around basic resource provision, infrastructure reliability, and the management of vulnerability to environmental and socio-economic stresses. Methodological responses in these regions vary: in South Asia, remote sensing and geospatial technologies are widely applied to monitor and manage resources across dispersed and often underserved agricultural landscapes. In Africa and Southeast Asia, where access to advanced technologies may be even more constrained, strategies tend to focus on strengthening institutional frameworks, enhancing local monitoring systems, and promoting adaptive, community-based management practices.
4. Discussion
4.1. Global Research Trends in the FWE Nexus (2000–2024)
- Constrained funding: Limited funding, poor infrastructure, and unfavorable policies in low-income countries hinder research activities, often forcing researchers to self-fund and driving brain drain, which deepens underdevelopment [44];
- Insufficient institutional support: Interdisciplinary research in Africa is limited by rigid academic structures, disciplinary silos, fragmented data-sharing mechanisms, and inadequate funding, which hinder researchers’ ability to address complex challenges [45];
- Restricted access to comprehensive datasets: Developing countries often have limited access to datasets covering all three nexus dimensions, making it difficult for researchers to engage in cross-disciplinary work [46].
4.2. Regional Challenges in Agricultural FWE Nexus
4.3. Methodological Approaches and Their Effectiveness in FWE Nexus Research
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
FWE | Food–Water–Energy |
FAO | Food and Agriculture Organization |
PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
SCP | Single-Country Publications |
MCP | Multiple-Country Publications |
UK | United Kingdom |
UN | United Nations |
USA | United States of America |
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Regions | Countries | Number of Papers |
---|---|---|
North America | The USA, Canada, United Mexican States | 161 |
East Asia | China, Japan, Republic of Korea (South Korea), Taiwan (Republic of China), Hong Kong Special Administrative Region of China, Mongolia | 131 |
South Asia | Republic of India, Islamic Republic of Pakistan, People’s Republic of Bangladesh, Democratic Socialist Republic of Sri Lanka, Federal Democratic Republic of Nepal, Kingdom of Bhutan, Republic of Maldives | 69 |
Middle East | Islamic Republic of Iran, Republic of Iraq, Kingdom of Saudi Arabia, State of Qatar, United Arab Emirates, Republic of Yemen, Sultanate of Oman, Hashemite Kingdom of Jordan, Lebanese Republic, Syrian Arab Republic, State of Israel | 65 |
Europe | Republic of Austria, Kingdom of Belgium, Republic of Bulgaria, Republic of Croatia, Republic of Cyprus, Czech Republic (Czechia), Kingdom of Denmark, Republic of Estonia, Republic of Finland, French Republic, Federal Republic of Germany, Hellenic Republic (Greece), Hungary, Ireland, Italian Republic, Republic of Latvia, Republic of Lithuania, Grand Duchy of Luxembourg, Republic of Malta, Kingdom of Netherlands, Republic of Poland, Portuguese Republic, Romania, Slovak Republic, Republic of Slovenia, Kingdom of Spain, Kingdom of Sweden, United Kingdom of Great Britain and Northern Ireland, Kingdom of Norway, Russian Federation | 64 |
Africa | Arab Republic of Egypt, Federal Republic of Nigeria, Republic of Kenya, Republic of South Africa, Federal Democratic Republic of Ethiopia, Republic of Ghana, Kingdom of Morocco, Tunisian Republic, People’s Democratic Republic of Algeria, United Republic of Tanzania | 63 |
South America | Federative Republic of Brazil, Argentine Republic, Republic of Chile, Republic of Colombia, Republic of Peru, Bolivarian Republic of Venezuela, Republic of Ecuador | 42 |
Southeast Asia | Kingdom of Thailand, Socialist Republic of Vietnam, Republic of Indonesia, Federation of Malaysia, Republic of the Philippines, Republic of Singapore, Republic of the Union of Myanmar, Kingdom of Cambodia, Lao People’s Democratic Republic, Brunei Darussalam | 20 |
Oceania | Commonwealth of Australia, New Zealand, Republic of Fiji, Independent State of Papua New Guinea | 11 |
Other | Papers that do not mention the above countries’ names | 303 |
Total | 929 |
Challenges Category | Challenges |
---|---|
Agricultural challenges | Irrigation, farming, crop, agricultural, cultivation, food security, water use efficiency, agricultural productivity, sustainable agriculture, crop yield |
Climate impacts | Climate change, weather, drought, flood, precipitation, extreme event, temperature, variability, adaptation, resilience, vulnerability, climate risk |
Data limitations | Data, monitoring, measurement, assessment, evaluation, uncertainty, accuracy, reliability, gap, missing, quality control, validation, standardization |
Economic constraints | Economic, financial, cost, investment, pricing, funding, budget, economic viability, affordability, market, commercialization, revenue |
Energy nexus | Energy, power, electricity, hydropower, pumping, water–energy nexus, efficiency, renewable, consumption, carbon footprint, greenhouse gas |
Environmental impacts | Environmental, ecosystem, biodiversity, conservation, sustainability, ecological, habitat, environmental flow, watershed, river basin, aquifer |
Governance challenges | Governance, policy, regulation, compliance, enforcement, legal, institutional, transboundary, water rights, water law, corruption, transparency |
Health impacts | Health, disease, sanitation, hygiene, waterborne, public health, risk, exposure, contamination, pathogen, water quality standard, safety |
Infrastructure | Infrastructure, system, network, facility, maintenance, pipeline, distribution, storage, reservoir, dam, water supply, hydraulic, construction |
Management issues | Management, governance, policy, regulation, planning, institutional framework, strategy, decision making, coordination, implementation, enforcement |
Social challenges | Social, community, public, awareness, participation, stakeholder, behavior, perception, acceptance, cultural, equity, gender, education, communication |
Technology gaps | Technology, innovation, digital, smart, monitoring, automation, sensor, modeling, simulation, prediction, forecasting, optimization, remote sensing, data analysis |
Urban water issues | Urban, city, municipal, residential, industrial, commercial, urbanization, water demand, sewerage, stormwater, drainage, urban planning |
Water quality | Quality, pollution, contamination, treatment, purification, water safety, drinking water, groundwater quality, surface water, wastewater, salinity, toxicity |
Water scarcity | Scarcity, shortage, deficit, stress, demand, availability, water security, access to water, water crisis, limited resource |
Methodology Category | Methodology |
---|---|
Crop Modeling | crop model, yield prediction, crop simulation, agricultural model |
Hydro Economic | hydro economic, water allocation, economic analysis, cost–benefit |
Input–Output | input–output, material flow, resource efficiency, circular economy |
Integrated Assessment | integrated assessment, nexus approach, holistic approach, systems approach |
Life Cycle Assessment | life cycle assessment, environmental impact, footprint analysis |
Multi-Criteria | multi-criteria, analytic hierarchy, decision analysis, trade-off analysis |
Optimization | optimization, linear programming, genetic algorithm, multi-objective |
Remote Sensing | remote sensing, satellite, GIS, spatial analysis, land use |
Resource Modeling | water balance, energy balance, resource flow, mass balance, nutrient cycle |
Scenario Analysis | scenario, forecast, projection, future pathway, alternative scenario |
Stakeholder Analysis | stakeholder, participatory, focus group, interview, survey |
System Dynamics | system dynamics, causal loop, stock flow, feedback loop |
Region | Total Methods | Most Common Methods | Proportion of Most Common Method | Method Diversity |
---|---|---|---|---|
North America | 953 | scenario analysis | 23.1% | 12 |
East Asia | 660 | optimization | 28.6% | 12 |
Europe | 601 | scenario analysis | 24.5% | 12 |
Middle East | 381 | scenario analysis | 23.9% | 11 |
Africa | 266 | stakeholder analysis | 24.1% | 11 |
South Asia | 213 | remote sensing | 25.8% | 11 |
South America | 212 | stakeholder analysis | 25.5% | 10 |
Oceania | 117 | stakeholder analysis | 18.8% | 11 |
Southeast Asia | 88 | stakeholder analysis | 20.5% | 11 |
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Share and Cite
Mai, E.N.Z.; Inoue, N.; Uenishi, Y. The Food Water Energy Nexus in Agriculture: Understanding Regional Challenges and Practices to Sustainability. Sustainability 2025, 17, 4428. https://doi.org/10.3390/su17104428
Mai ENZ, Inoue N, Uenishi Y. The Food Water Energy Nexus in Agriculture: Understanding Regional Challenges and Practices to Sustainability. Sustainability. 2025; 17(10):4428. https://doi.org/10.3390/su17104428
Chicago/Turabian StyleMai, Ei Ngwe Zin, Norikazu Inoue, and Yoshihiro Uenishi. 2025. "The Food Water Energy Nexus in Agriculture: Understanding Regional Challenges and Practices to Sustainability" Sustainability 17, no. 10: 4428. https://doi.org/10.3390/su17104428
APA StyleMai, E. N. Z., Inoue, N., & Uenishi, Y. (2025). The Food Water Energy Nexus in Agriculture: Understanding Regional Challenges and Practices to Sustainability. Sustainability, 17(10), 4428. https://doi.org/10.3390/su17104428