Famine Research Articles

Drivers and Barriers towards Circular Economy: A Systematic Review on Consumer Perspective in the Consumer Journey

Circular economy (CE) has received considerable attention from academia, practitioners and policymakers as a potential solution for the current context of social, food and economic crises, environmental pollution, the continuous decrease of non-renewable resources and continuous increase of the global population. Although the importance of consumer as an active agent to circular process success, studies that address consumer behavior in the context of CE are still limited. Thus, there are relevant gaps in the CE literature, as studies so far have largely neglected the unique customer perspective on the drivers and barriers to CE adoption, particularly in relation to each stage of the customer journey. In this context, through a systematic literature review, this study aims to identify drivers and barriers towards CE related to consumer and classify them in the consumer journey. As results, it was possible to analyze and classify the drivers and barriers towards CE related to consumer in the three phases in the consumer journey: pre-purchase, purchase and post-purchase. In the pre-purchase phase, it identified drivers and barriers related to consumer awareness, knowledge, perceptions, thrill, needs and interest, pressure from community, global climate and consumer’ environmental awareness. The drivers and barriers classified on purchase phase are in regard to consumer behavior, preferences, interest, acceptance and demand, and also consumer behavior in the buying process, price, customer pressure and customer himself. Finally, in the post-purchase phase, only drivers were found, involving customer loyalty and satisfaction, reusing and recycling.

Progress in the Study of the Drivers of the Transformation of Arable Land Use

The sustainable use of arable land is a necessity to ensure future global food security. Arable land provides most of the food and necessities of life for human beings, and is the key to achieving the "poverty-free" (Sustainable Development Goals 1, hereinafter referred to as SDG1), "zero hunger" (SDG2), "sustainable cities and communities" (hereinafter referred to as SDG2) and "sustainable cities and communities" (hereinafter referred to as SDG2) objectives of the United Nations Sustainable Development Programme. SDG1 (hereinafter referred to as "SDG1"), "Zero Hunger" (SDG2), "Sustainable Cities and Communities" (SDG11), and "Climate Action" (SDG13) of the United Nations Sustainable Development Programme (SDP), "terrestrial organisms" (SDG15), and other key resource-environmental elements of the Sustainable Development Goals (SDGs). Cropland expansion and cropland intensification have been important strategies for increasing food production, but with the global depletion of cropland reserves, increasing food production by expanding the area of cropland is no longer viable, and the pressure for food security has shifted to the existing cropland, which accounts for 38 per cent of the global terrestrial area. In the last 20 years, global food production has almost doubled, but the area of arable land has increased by only 9%. Demand for food is accelerating in tandem with rapid global economic and social development, population expansion and improved diets. The global demand for food is expected to increase by about 70 to 100 per cent by 2050, which not only puts enormous pressure on existing arable land but also poses a great challenge to the future food security of the world. The sustainable use of existing arable land is the only way to meet the growing demand for food and avoid a global food crisis.

Farklı Sürelerde Depolanan Maş Fasulyesi Tohumlarında Çimlenme Ve Kalite Özelliklerindeki Değişim

Maintaining seed quality during long-term storage of plant genetic resources is crucial to avert projected food crises linked to a changing climate and a growing world population. However, seed viability caused by senescence during storage remains an unavoidable process that jeopardizes productivity in some traditional seed crop species. Therefore, this study aimed to determine the change in germination and quality characteristics of mung bean seeds stored under the same storage conditions for different periods of time. In the study, mung bean seeds numbered 02G05, 07A05 and 07G04 were used as seed material and stored under the same temperature and humidity conditions for 36, 48, 60, 72 and 96 months. In the study, germination rate, germination index, moisture content, water absorption capacity and water absorption index of mung bean seeds decreased as the storage period increased, while mean germination time, electrical conductivity, cooking time and dry matter loss during cooking increased. In the study, seeds of mung bean genotypes stored for 36 months showed better germination rate and germination index, followed by seeds stored for 48 and 60 months and significant decreases were determined in the following months. 02G05 genotype stood out in terms of germination characteristics and some quality characteristics and was the least affected by the prolonged storage period. In the study, the highest and positive correlation was determined between cooking time and dry matter loss during cooking, while the lowest negative correlation was determined between moisture content and electrical conductivity and between water absorption capacity and cooking time. As a result, it can be suggested that mung bean seeds can be stored for 60 months for germination characteristics and 36 months for quality characteristics without causing any negativity, but after these months, storage can be terminated as negativity in germination and quality characteristics will begin

Impacts of the COVID-19 Pandemic on the Production Costs and Competitiveness of the Brazilian Chicken Meat Chain

Sanitary requirements, geopolitical crises, and other factors that increase price volatility have an impact on the organization of markets and changes in investment policies and business strategies. The COVID-19 pandemic interrupted the trade of chicken meat, due to the drastic reduction in the circulation of goods, interrupted the supply of production chains, changed consumption habits, and made it difficult to reorganize business due to the slow resumption of operations by suppliers of inputs and in distribution logistics. The magnitude of these impacts has not been studied despite the high relevance of this economic dimension and the managerial implications for sector governance and trade management. The purpose of this study was to evaluate the economic impact of the COVID-19 pandemic on the production costs and competitiveness of the Brazilian chicken meat production chain. The methodology consisted of the detailed collection of information and data on private and social prices carried out using the Policy Analysis Matrix (PAM) method. The competitiveness coefficients and policy effects in the Brazilian broiler production chain before (2015) and during (2022) the COVID-19 pandemic were quantified and compared. Generally, the significant increases in the production costs of chicken meat (30.49%) caused a decrease in total factor productivity (−19.54%), a reduction in gross revenue, and lower tax collection. The pandemic has reduced the profitability of the chicken production chain in Brazil by 32.31%, reduced the competitiveness of exports, and worsened other economic indicators of the production chain. To the best of our knowledge, no other study has investigated the impacts of the COVID-19 pandemic on the competitiveness of the Brazilian chicken meat production chain. The PAM method allows for prices paid and received to be updated in real terms in projects representative of Brazil, the world leader in exports. This information is important for both national and international stakeholders. Additionally, this model is applicable to other meats traded in the international market, as it provides greater precision in business management and can estimate the impacts of risks on the availability or quality of food and health crises with robust results.

Family Farming as a Contribution to Food Sovereignty, Case Guarainag Parish

The objective of this research is to analyze how family farming contributes to food sovereignty; the Guarainag parish of the Paute canton in the province of Azuay-Ecuador is taken as a case of study. This work responds to the necessity to explain the elements that impact food sovereignty in the existing food crisis in Latin America and specifically in Ecuador in search of self-sufficiency for healthy food products and people’s own local culture. For this purpose, a Food Sovereignty Index was constructed through ten quantitative and qualitative indicators. The research has a correlational and explanatory scope; quantitative methods were used to measure food sovereignty through a binary logit regression model, which provided an answer to the hypothesis of the research, which consisted of testing the influence of family farming on food sovereignty. Furthermore, to collect the information, a survey was applied to 372 small farmers with the support of digital mapping and the Kobol Tulboox software version 1.27.3. The result was a Food Sovereignty Index of 59.79%, which, according to the scale used, places the territory in a high average. In addition, the hypothesis was verified, concluding that there is a direct relationship among the following elements of family farming such as number of household members, family labor, group of products, type of animals, tillage technology, natural fertilizer, and altitudinal levels with food sovereignty. For future research, it is recommended that the variable of climate change has to be incorporated in order to observe its impact on food sovereignty.

Determinants of food insecurity and coping mechanisms in Offa district, Southern Ethiopia

Food is an essential requirement for human survival, growth, and health. Despite the fact that the right to be free from hunger is the most fundamental human right that can be achieved, a substantial number of people worldwide experience food insecurity. This study examined the factors that influence household food insecurity and the coping mechanisms adopted by households during food crises in the Offa district, southern Ethiopia. This study included 144 households from three kebeles, and the interview schedule method was used to collect data from the respondents. Descriptive statistics were used to describe the characteristics of households and coping techniques used during food scarcity. Statistical methods, such as the chi-square test and t-test, were used to compare food-secure and food-insecure sampling households in relation to the explanatory variables. The Food Consumption Score (FCS) method was used to determine the level of household caloric availability. Determinants of food insecurity were identified using a binary logit model. The empirical model consisted of 11 explanatory variables. Off-farm income, educational level of the family head, access to credit, livestock ownership, dependence ratio, cultivated farm size, extension services, and technology adoption were found to be statistically significant in determining food insecurity. Coping strategies used by households, such as limiting food intake, borrowing money, rationing money, and skipping meals have been discovered. Based on these findings, it is suggested that all pertinent bodies prioritize improving rural farmers' incomes, promoting extension services, encouraging access to basic education, promoting off-farm and non-farm employment opportunities, and introducing livestock development packages to improve food security for rural households.

LeafNet: A proficient convolutional neural network for detecting seven prominent mango leaf diseases

Fruit production plays a significant role in meeting nutritional needs and contributing to the lessening of the global food crisis. Plant diseases are quite a common phenomenon that hampers gross production and causes huge losses for farmers in tropical South Asian weather conditions. In context, early-stage detection of plant disease is essential for healthy production. This research develops LeafNet, a convolutional neural network (CNN)-based approach to detect seven of the most common diseases of mango using images of the leaves. This model is trained specially for the pattern of mango diseases in Bangladesh using a novel dataset of region-specific images and is classified for almost all highly available mango diseases. The performance of LeafNet is evaluated with an average accuracy, precision, recall, F-score, and specificity of 98.55%, 99.508%, 99.45%, 99.47%, and 99.878%, respectively, in a 5-fold cross-validation that is higher than the state-of-the-art models like AlexNet and VGG16. LeafNet can be helpful in the detection of early symptoms of diseases, ultimately leading to a higher production of mangoes and contributing to the national economy.

Res. 2664 (U.N.S.C.) and Res. 52/13 (U.N.H.R.C.)

Under Article 41 of the UN Charter, the Security Council has established 31 sanctions regimes since 1966. Sanctions measures encompass a broad range of enforcement actions not involving the use of armed force. The measures have ranged from comprehensive economic and trade sanctions to more targeted measures such as arms embargoes, travel bans, and financial or commodity restrictions. In recent years, there have been increasing numbers of complaints from humanitarian organizations that sanctions cause or exacerbate humanitarian crises. The UN Office for the Coordination of Humanitarian Affairs (OCHA) has estimated that at least 222 million people were experiencing acute food insecurity at the end of 2022, the largest global food crisis in modern history. At the same time, the countries that need the most assistance are often subject to international sanctions regimes. As of March 2023, UN sanctions applied in nine of the top ten operations of the International Committee of the Red Cross.

Extreme events, trophic chain reactions, and shifts in phenotypic selection

Demographic consequences of rapid environmental change and extreme climatic events (ECEs) can cascade across trophic levels with evolutionary implications that have rarely been explored. Here, we show how an ECE in high Arctic Svalbard triggered a trophic chain reaction, directly or indirectly affecting the demography of both overwintering and migratory vertebrates, ultimately inducing a shift in density-dependent phenotypic selection in migratory geese. A record-breaking rain-on-snow event and ice-locked pastures led to reindeer mass starvation and a population crash, followed by a period of low mortality and population recovery. This caused lagged, long-lasting reductions in reindeer carrion numbers and resultant low abundances of Arctic foxes, a scavenger on reindeer and predator of migratory birds. The associated decrease in Arctic fox predation of goose offspring allowed for a rapid increase in barnacle goose densities. As expected according to r- and K-selection theory, the goose body condition (affecting reproduction and post-fledging survival) maximising Malthusian fitness increased with this shift in population density. Thus, the winter ECE acting on reindeer and their scavenger, the Arctic fox, indirectly selected for higher body condition in migratory geese. This high Arctic study provides rare empirical evidence of links between ECEs, community dynamics and evolution, with implications for our understanding of indirect eco-evolutionary impacts of global change.

The Impact of the Russian-Ukrainian War on Global Food and Environmental Security

The global war has disrupted trade, production, and consumption, leading to increased commodity prices and a threat to global food security. The article examines the long-term consequences of the war on global food and environmental security, focusing on disruptions in food markets and infrastructure destruction. The study utilizes the FAOSTAT database and food security indicators to assess the state of food security in Russia and Ukraine from 2010 to 2021. The results reveal numerous negative direct and indirect effects on food and environmental security, with the Middle East and North Africa (MENA) being among the most affected regions. Prior to the Russian invasion in February 2022, Ukraine was a major grain exporter to the MENA region. However, the war caused extreme volatility in food insecurity. Among the key consequences of the war, it should be mentioned about the decrease in the volume of production of agricultural products in Ukraine due to the reduction of cultivated areas as a result of blockades and destruction, which led to export restrictions, and loss of producers’ income. The countries of the Global South are most vulnerable to the food crisis (Turkey, Egypt, Georgia, Tunisia, Morocco, Libya), given the significant import dependence on Ukraine and the significant increase in product prices. The war has also resulted in pollution of water and land resources, air contamination, supply and sewage problems, and deteriorating sanitary conditions.

Food Crisis and Competitive Analysis of Selected Agricultural Products in Turkey

Agriculture has an important place in the Turkish economy. It is known that Turkey is the leading country in foreign trade in some agricultural products. The main purpose of this study is to test whether Turkey is a competitive country in agricultural products. In the study, Revealed Comparative Advantages (RCA) index was used to measure Turkey's competition in agricultural products. The study period covers the years 2000-2021. According to RCA index calculations, it was found that Turkey has disadvantages in 19 of 46 agricultural products and advantages in 27 of 46 agricultural products. These 27 agricultural products are divided into three as weak, medium and strong advantage levels. Accordingly, Turkey was found to have a weak advantage in 5 agricultural products, medium advantage in 9 agricultural products and strong advantages in 13 agricultural products.

Cash for assets during acute food insecurity: an observational study in South Sudan

BackgroundCash-based assistance in humanitarian contexts has grown substantially in recent years, yet little is empirically known about differential impacts of cash for diverse beneficiaries, which could better inform assistance targeting. In the context of increasing food insecurity and extreme levels of famine in South Sudan despite significant scale-up of humanitarian assistance, this analysis examined food security and household economy outcomes to better understand the impact of cash assistance and characteristics associated with worsened household food security and coping strategies.MethodsIn 2019–2021, a prospective cohort study was conducted leveraging a program providing cash for work in community gardens. 1213 households receiving cash prior to the start of the study (Cohort A/B), 582 non-intervention households (Control), and 300 households that received cash after the start of the study (Cohort C) completed 2 interviews spaced one year apart to measure household food insecurity and coping mechanism adoption.ResultsThere were no significant differences in change over time in household hunger score (p = 0.074), livelihoods coping strategy index score (p = 0.104), or meal frequency (p = 0.113) between program participants and the comparison group. The comparison group had a significantly larger increase in dietary diversity over time (0.6 vs. 0.2 in Cohort A/B, p = 0.005); however, at endline there were no significant differences in dietary diversity between program participants and the non-intervention group (4.3 in both groups). There were few factors associated with increased likelihood of worsened food security and coping outcomes, the most noticeable being recent investment livestock, which was associated with 1.5 times greater odds of worsened hunger and 1.63 times greater odds of worsened coping strategy adoption.ConclusionCash transfers did not appear to have lasting benefits on food security and livelihoods coping strategy use. Larger transfer sizes may need to be considered in future programming to achieve more substantial improvements in household food security; however, maintaining rather than improving household food security may be sufficient in worsening food crises contexts.

ANALYSIS OF MARITIME TRANSPORT ACTIVITIES OF UKRAINE IN THE CONTEXT OF ENSURING GLOBAL SECURITY

Topicality. russia's aggression against Ukraine was the main factor behind the food crisis and the increase in food prices at the international level. Acceptable logistics routes were blocked. Domestic water transport, rail transport and road transportation of goods were not able to export enough crops to ensure global food security. All these pressing issues in the field of maritime transport in Ukraine prompt us to investigate the nature of the problem.Aim and tasks. The purpose of the article is to analyze the activities of Ukraine's maritime transport based on national and global security.Materials and methods. The study was based on the results of scientific works of leading scientists in the field of maritime transport development and ensuring national, economic and food security. In writing the article, the methods of synthesis, theoretical generalization, empirical and analytical models of scientific research were applied.Research results. The study analyzes the activities of the ports of Great Odesa under the Grain Agreement (for the year of the agreement's existence). A significant impact on the disruption of the systematic operation of the grain corridor is caused by the russian federation, which led to a complete blockade of the Pivdennyi port and significant damage to port infrastructure, grain terminals and elevators in Odesa and Odesa region. The ports of Great Odesa exported 32.8 million tons of agricultural food products. In total, 1006 vessels left the ports of Great Odesa. The most active exporting countries are: China (8.0 million tons), Spain (6.0 million tons), Turkey (3.2 million tons), Italy (2.1 million tons), the Netherlands (2.0 million tons), Egypt (1.6 million tons) and Bangladesh (1.1 million tons).Conclusion. The analysis shows that for the further smooth functioning of the Black Sea Initiative, it is necessary to involve more influential international organizations in its regulation; to improve the institutional and economic system of maritime transport and introduce mechanisms that will encourage it to compete at the international level; to optimize the logistics supply chains of cargoes, to improve the multimodal approach to the functioning of the transport system of cargo transportation.

Optimization of Some Fermentation Conditions for Bioethanol Production from Yam Peels (Dioscorea rotundata) Using Box-Behnken Design (BBD)

Aim: The aim of this research was to optimize the production of bioethanol from a select second generation feedstock (yam peels).
 Methodology: Bioethanol was produced from yam peels using Box Behnken Design (BBD). The independent variables selected for optimization of bioethanol yield were; fermentation temperature (˚C), fermentation time (hours) and yeast concentration (%w/v). A set of 17 experiments were considered by design expert software. All experiments were run in triplicates. Test for bioethanol was carried out using acidified potassium dichromate method and absorbance was taken using a spectrophotometer at 600nm.
 Results: From the experiments carried out above, the optimum conditions under which the highest bioethanol (yield%) was produced were a fermentation temperature of 30̊C, yeast concentration of 5.50%w/v and fermentation time of 96hours under which a bioethanol yield of 45.79% was produced.
 Conclusion: Yam peels may therefore have the potentials to serve as substrates for bioethanol production rather than using food crops such as sugarcane juice and cassava flesh which may lead to food shortages and crisis especially is developing countries such as Nigeria.

Modeling inflation rate factors on present consumption price index in Ethiopia: threshold autoregressive models approach

BackgroundInflation is the industrious and non-stop ascent in the overall prices of any given commodity in an economy. During the global food crisis, Ethiopia experienced an unprecedented increase in inflation ranked the highest in Africa. It is among the most macroeconomic variable described nonlinear behavior.ObjectiveThe main purpose of this study was intended to modeling inflation rate factors on present consumption price index (CPI) in Ethiopia: using the threshold autoregressive (TAR) models.MethodsThe study was utilized the secondary data collected from monthly data of CPI for inflation rate from January 1994 to December 2020 which was obtained from central statistical Agency. The forecast was applied between the nonlinear and linear ARMA models using different techniques. The unit root test of Dickey–Fuller test was made for each variables and applied lag length transformation for the variables that had unit root. A threshold autoregressive models was utilized for data handling technique using least square estimation.ResultsThe results showed that monthly rate of inflation was characterized a non-constant mean and an unstable variance. The outcome of Tsay tests was revealed that non linearity of CPI and SETAR(2,4,4) had the smallest value of AIC under this study. The forecasting performance comparison results were showed that the nonlinear SETAR model outperform the linear ARMA models. Moreover, the out-of-sample forecast indicates that the CPI of inflation has almost a constant trend. The in-sample forecast using the best-fit asymmetric for the SETAR(2,4,4) model the CPI series exhibits an upward trade until 2012; decreases until 2011; slightly increase up to 2018 and then decrease at the end of the study period.ConclusionThe superiority in performance of nonlinear models was attributed to their ability to capture the stochastic nature of the monthly rates as evident in the pattern of the forecast errors. The investigators are recommended that using TAR models policy makers can be able to capture the price volatility persistence and also forecasting can be made.

Beyond Policy: What Plants and Communities Can Teach us About Sustainable Changemaking

In this community insight paper, we share conversations that took place over the course of two years that we believe shed light on the informal and less-recognized ways that humans forge trust as they design communication to help each other survive as communities in times of scarcity. We hope that this paper will legitimize the communication pathways and resource exchange that we believe make for a sustainable food system centered around abundance rather than deficit. In doing so, we also hope to start a greater conversation on how communities build trust and communication nimbly and quickly in times of crisis as policymaking often lags behind the needs of the community. As we saw during the COVID-19 food crisis, ad hoc communities fill the gaps that policymakers (such as the United States Department of Agriculture (USDA)) can't when infrastructures fail. We take inspiration from the plants around us, farmers, scientists, community members, and the individuals and mutual aid groups that came together during the food crisis to build trust and dialogue as the first (and often most responsive) step towards sustainable food systems.

Financial feasibility of introduced rice cultivation technology on tidal type B (case of Belanti Siam Village, Pandih Batu District, Pulang Pisau Regency)

The Food Estate program in the tidal swampland of Central Kalimantan was implemented to anticipate the food crisis in Indonesia. To obtain information on the financial feasibility of introduced rice cultivation technology on tidal type B, dissemination was carried out in Belanti Siam Village, Pandih Batu District, Pulang Pisau Regency, Central Kalimantan Province, covering an area of 12 hectares in dry season 2021. The introduced rice cultivation technology package which called Panca Kelola consists of water management, land preparation, amelioration and fertilization, adaptive varieties, and management of plant-disturbing organisms. The results of the dissemination showed that the introduced cultivation technology increased the production of high yield inbred rice by 39.20% (1,044.3 kg ha−1) and 48.5% (1,782.6 kg ha−1) of high yield hybrid rice compared to farmer’s technology. Economically, rice cultivation technology using hybrid rice varieties with transplanting systems and inbred rice varieties with direct seed planting systems were profitable and efficient. Rice cultivation technology using hybrid rice varieties with transplanting systems can be developed on a wide scale. Farmer’s perception of introduced rice cultivation technology was positive.

A Review of Qualitative Investigation of Food Safety Based on Good Governance

Food safety agencies (FSAs) were formed across the globe as part of a series of food risk (FR) governance changes made in reaction to ongoing food crises in an endeavor to control increasingly industrialized, globalized, and hazardous food chains. Given such substantial changes in governance, little research has been done on how consumers react to, reject, and/or participate with the mentioned new governance systems in non-crisis situations. As a result, the current study looks at how FR is managed on a daily basis from the consumers’ perspective, whose voices are often ignored in food policies. Consumer lived experiences, priorities, and views pertaining to FR governance and the food safety (FS) authority, in particular, are investigated using empirical data from focus groups performed with the general public. This study is framed by a normative framework of multi-scalar governance and what makes it successful or good. As a result, the study promotes FR policy discussions via the lens of normative good FR governance, involving a consumer-perceived assessment of the perceived accountability, openness, and efficacy of FR governing mechanisms. The article closes by constructively considering the potential and constraints of adopting more adaptable forms of governance in the multi-scalar and changing the policy framework that defines FR.

The evolution and expansion of RWP-RK gene family improve the heat adaptability of elephant grass (Pennisetum purpureum Schum.)

BackgroundAlong with global warming, resulting in crop production, exacerbating the global food crisis. Therefore, it is urgent to study the mechanism of plant heat resistance. However, crop resistance genes were lost due to long-term artificial domestication. By analyzing the potential heat tolerance genes and molecular mechanisms in other wild materials, more genetic resources can be provided for improving the heat tolerance of crops. Elephant grass (Pennisetum purpureum Schum.) has strong adaptability to heat stress and contains abundant heat-resistant gene resources.ResultsThrough sequence structure analysis, a total of 36 RWP-RK members were identified in elephant grass. Functional analysis revealed their close association with heat stress. Four randomly selected RKDs (RKD1.1, RKD4.3, RKD6.6, and RKD8.1) were analyzed for expression, and the results showed upregulation under high temperature conditions, suggesting their active role in response to heat stress. The members of RWP-RK gene family (36 genes) in elephant grass were 2.4 times higher than that of related tropical crops, rice (15 genes) and sorghum (15 genes). The 36 RWPs of elephant grass contain 15 NLPs and 21 RKDs, and 73% of RWPs are related to WGD. Among them, combined with the DAP-seq results, it was found that RWP-RK gene family expansion could improve the heat adaptability of elephant grass by enhancing nitrogen use efficiency and peroxidase gene expression.ConclusionsRWP-RK gene family expansion in elephant grass is closely related to thermal adaptation evolution and speciation. The RKD subgroup showed a higher responsiveness than the NLP subgroup when exposed to high temperature stress. The promoter region of the RKD subgroup contains a significant number of MeJA and ABA responsive elements, which may contribute to their positive response to heat stress. These results provided a scientific basis for analyzing the heat adaptation mechanism of elephant grass and improving the heat tolerance of other crops.

A REVIEW OF FARMERS-HERDERS CONFLICT AND IMPLICATIONS ON FOOD SECURITY, ECOLOGICAL SYSTEMS AND ECONOMY OF IBARAPA, OYO STATE, NIGERIA

In Nigeria, thousands of people die in violent clashes between groups of farmers and nomadic pastoralists. Due to better access to weapons and communication tools, the war has been worse in recent years. The old and the well-established systems of negotiation between the groups have mostly broken down. Thus, those with superior tools try to acquire what they want without speaking to other parties. The lack of resources, however, did not suddenly appear in the region and is also a result of several other factors that were discussed in this study, such as ineffective state mechanisms, the Nigerian oil boom, late effects of colonialism, climate change, constantly rising non-state group armament, e. t. c. To demonstrate effects of the conflict, the socioeconomic implications will be discussed. This research focuses on the crisis between the farmers and the Fulani herdsmen in the Ibarapa community of Oyo State as a review case study. The Ibarapa community is made up of various socioeconomic groups who have lived together for a long time, even though this coexistence has both beneficial and negative effects. Yoruba people, that are primarily farmers, and Fulani herdsmen, who are primarily herders, make up the majority of those leaving the Ibarapa community. In recent years, tension and hostility between farmers and herdsmen have emerged due to the battle for land and other scarce resources. Insecurity and food crisis have also resulted from the conflict, which have escalated into fights between the two groups. The connection between the two groups has soured, though, and this is a serious matter that warrants attention on a worldwide scale. Hence this review is apt.