Nothing Special   »   [go: up one dir, main page]

You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (1,135)

Search Parameters:
Keywords = farming households

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
25 pages, 907 KiB  
Article
The Impact of Digital Infrastructure on Rural Household Financial Vulnerability: A Quasi-Natural Experiment from the Broadband China Strategy
by Yunke Deng, Haixin Tao, Bolun Yao and Xuezhu Shi
Sustainability 2025, 17(5), 1856; https://doi.org/10.3390/su17051856 - 21 Feb 2025
Viewed by 276
Abstract
A digital infrastructure has the potential to mitigate the digital exclusion in rural areas, offering a pathway to alleviate the financial vulnerability of rural households. This paper investigates the impact of the Broadband China pilot policy—an important government initiative—on rural household financial vulnerability, [...] Read more.
A digital infrastructure has the potential to mitigate the digital exclusion in rural areas, offering a pathway to alleviate the financial vulnerability of rural households. This paper investigates the impact of the Broadband China pilot policy—an important government initiative—on rural household financial vulnerability, utilizing data from five waves of the China family panel studies (CFPS) spanning from 2012 to 2020. By leveraging the quasi-natural experiment provided by the Broadband China initiative, this study makes a novel contribution to understanding how a digital infrastructure affects financial sustainability in rural households. The findings show that the Broadband China pilot policy significantly reduces rural household financial vulnerability, with particularly strong effects on female-headed households, spousal-headed households, and those in regions with a limited traditional or advanced digital finance infrastructure. Further analysis reveals that a digital infrastructure enhances rural household financial resilience by increasing land transfer opportunities through an ‘income effect’ and by fostering non-farm employment and financial literacy through a ‘security effect’. This paper contributes to the literature by shedding light on the specific mechanisms through which a digital infrastructure enhances the financial sustainability of rural households and offers valuable insights into policies aimed at bridging the rural–urban divide. Full article
Show Figures

Figure 1

Figure 1
<p>Relationship between digital infrastructure and rural household financial vulnerability.</p>
Full article ">Figure 2
<p>Pre-event parallel trend tests.</p>
Full article ">Figure 3
<p>Placebo test. (<b>A</b>) In-space placebo test; (<b>B</b>) In-time placebo test.</p>
Full article ">
14 pages, 1541 KiB  
Article
Social and Environmental Trade-Offs and Synergies in Cocoa Production: Does the Farming System Matter?
by Joseph Bandanaa, Isaac K. Asante, Ted Y. Annang, Johan Blockeel, Anja Heidenreich, Irene Kadzere, Christian Schader and Irene S. Egyir
Sustainability 2025, 17(4), 1674; https://doi.org/10.3390/su17041674 - 18 Feb 2025
Viewed by 181
Abstract
Although cocoa production addresses the livelihoods of several rural households, there is a global concern about its negative impact on the physical environment. How does this trade-off play out in different farming systems? This paper examined the social and environmental trade-offs and synergies [...] Read more.
Although cocoa production addresses the livelihoods of several rural households, there is a global concern about its negative impact on the physical environment. How does this trade-off play out in different farming systems? This paper examined the social and environmental trade-offs and synergies of organic and conventional cocoa farming systems. Using the ‘SMART Farm-tool’ and principal component analysis approach, data collected from 398 cocoa farmers in five communities in the Atwima Mponua District of Ghana were analysed. We found that social and environmental trade-offs in the organic cocoa farming system are labour-related (EV = −0.38). The social and environmental trade-offs in the conventional cocoa farming system are health and safety and biodiversity-related (EV = −0.64). The organic farming system recognises indigenous knowledge in promoting biodiversity conservation and land degradation reduction (EV = −0.57). There can be more synergy than trade-off in both systems if support for capacity building and credit is provided and indigenous knowledge sharing is prioritised among low-income and vulnerable farmers. In this way, the labour conditions, biodiversity conservation, and health and safety-related concerns will be addressed. Addressing labour concerns in organic cocoa farming involves improving efficiency and working conditions. Strategies include training programs for organic techniques, introducing technology for tasks, and adhering to fair labour standards. This ensures labour concerns are addressed across the supply chain. Full article
(This article belongs to the Section Sustainable Agriculture)
Show Figures

Figure 1

Figure 1
<p>Production Volume for 2022/2023 crop year.</p>
Full article ">Figure 2
<p>Map of the case study area.</p>
Full article ">Figure 3
<p>Principal component analysis biplot for the organic farming system.</p>
Full article ">Figure 4
<p>Principal component analysis biplot for the conventional farming system.</p>
Full article ">
32 pages, 3036 KiB  
Article
Agricultural Productivity of Solar Pump and Water Harvesting Irrigation Technologies and Their Impacts on Smallholder Farmers’ Income and Food Security: Evidence from Ethiopia
by Mebratu Negera, Zeleke Agide Dejen, Dagmawi Melaku, Desalegn Tegegne, Muluken Elias Adamseged and Amare Haileslassie
Sustainability 2025, 17(4), 1486; https://doi.org/10.3390/su17041486 - 11 Feb 2025
Viewed by 811
Abstract
Irrigation plays a crucial role in enhancing food production, increasing land productivity, and improving the livelihoods of smallholder farmers in Sub-Saharan Africa (SSA). Solar pumps and water harvesting ponds have emerged as promising technologies for sustainable agriculture for smallholders in SSA and beyond. [...] Read more.
Irrigation plays a crucial role in enhancing food production, increasing land productivity, and improving the livelihoods of smallholder farmers in Sub-Saharan Africa (SSA). Solar pumps and water harvesting ponds have emerged as promising technologies for sustainable agriculture for smallholders in SSA and beyond. The socio-economic impacts of these systems are less studied in the existing literature. This study examined the agricultural productivity of solar pump and water harvesting irrigation technologies and their impacts on income and food security among smallholder farmers in the Central Rift Valley, Lake Hawassa, and Upper Awash sub-basin areas in Ethiopia. Data were collected from 161 farming households that were selected randomly from woredas where solar pump and water harvesting pond irrigation systems had been implemented. The sample size was determined using the power calculation method. Bio-physical observation and measurements were also conducted at field levels. The benefit–cost ratio (BCR) and net water value (NWV) from the use of solar pump and water harvesting pond irrigations were analyzed to assess the viability of these systems. The household food consumption score (HFCS) and household dietary diversity score (HDDS) were calculated to measure food security, while the revenue from crop production was used to measure crop income. An endogenous switching regression model was applied to address the endogeneity nature of the adoption of the irrigation technologies. The counterfactual analysis, specifically the Average Treatment Effect on the Treated (ATT), was used to evaluate the impacts of the irrigation technologies on income and food security. Results indicate that the ATT of crop income, HFCS, and HDDS are positive and statistically significant, illustrating the role of these irrigation systems in enhancing smallholder farmers’ welfare. Moreover, smallholder farmers’ solar pump irrigation systems were found to be economically viable for few crops, with a BCR greater than 1.0 and an NWV ranging from 0.21 to 1.53 USD/m³. It was also found that bundling agricultural technologies with solar pump irrigation systems leads to enhanced agricultural outputs and welfare. The sustainable adoption and scale-up of these irrigation systems demand addressing technical and financial constraints, as well as input and output market challenges. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
Show Figures

Figure 1

Figure 1
<p>Location of the study area and six target woredas (districts).</p>
Full article ">Figure 2
<p>Sample size determination using the power calculation analysis.</p>
Full article ">Figure 3
<p>(<b>a</b>) Typical shallow hand-dug well as a water source, (<b>b</b>) solar panel and elevated tank for water storage.</p>
Full article ">Figure 4
<p>Area proportion of crops irrigated by solar pumps in the study area.</p>
Full article ">Figure 5
<p>BCR for solar pumped irrigation by financing scheme.</p>
Full article ">Figure 6
<p>Agricultural technology bundles and their impacts on BCR and net water value. Note: C = intercropping, P = row planting, R = crop rotation, I = improved seed/seedlings, F = chemical fertilizer, O = organic fertilizer, and A = agrochemicals.</p>
Full article ">Figure 7
<p>Overall adequacy of irrigation water by irrigated crops.</p>
Full article ">Figure 8
<p>Overall adequacy of irrigation water supply under solar pumps by financing scheme.</p>
Full article ">Figure 9
<p>Typical water harvesting ponds: (<b>a</b>) large and unlined, (<b>b</b>) small and lined.</p>
Full article ">
21 pages, 1740 KiB  
Article
The Capacity of a Household Farming System with Women’s Decision and Action-Making Power: Rural Marginal Areas in Morocco
by Veronique Alary, Bruno Romagny, Dina Najjar, Mohammed Aderghal and Jean-Yves Moisseron
Agriculture 2025, 15(3), 319; https://doi.org/10.3390/agriculture15030319 - 31 Jan 2025
Viewed by 657
Abstract
Nowadays, women’s contribution to society through their social and human involvement at the household level in terms of education, care, and nutrition, as well as their added value to economic functioning, is increasingly recognized. However, most of the related research highlights the relative [...] Read more.
Nowadays, women’s contribution to society through their social and human involvement at the household level in terms of education, care, and nutrition, as well as their added value to economic functioning, is increasingly recognized. However, most of the related research highlights the relative contributions of women and men. This paper proposes to analyze the link between women’s contribution to social, economic, and financial activities and the rural livelihood of the whole household farm. Based on a household survey that included a respondent section for women from over 285 families in the least rurally developed regions of Morocco, descriptive statistics and systemic analysis successively based on multiple factorial and clustering analyses were used to analyze the links between household adaptative capacity and women’s material and immaterial contributions. The results revealed that women play a crucial role in intergenerational knowledge transfer, which constitutes a critical factor in household capacities and reproduction, especially in the least endowed households. However, the women’s farm or off-farm activities did not guarantee their autonomy. So, the contribution of women to household farm livelihood through their know-how opens alternative pathways to reconsider their contribution to the overall goal of livelihood improvement. Full article
Show Figures

Figure 1

Figure 1
<p>Presentation of the five selected zones of the study in Morocco (in the top left corner) chosen from the multi-dimensional local development mapping extracted from RGPH (2014) and ONDH (2017) [<a href="#B23-agriculture-15-00319" class="html-bibr">23</a>,<a href="#B24-agriculture-15-00319" class="html-bibr">24</a>].</p>
Full article ">Figure 2
<p>Projection of partial groups on the first factorial plan (F1*F2) (F1 and F2 representing 12.8% of the variance; in bold the active themes and in no bold the supplemental themes in the Multiple Factorial Analysis).</p>
Full article ">Figure 3
<p>Classification of women groups through a hierarchical clustering analysis using XLSTAT Software, Addinsoft, version 3.0) (Legend: the contour of each cluster is the confidence ellipse with an interval of 90%; each cluster is represented by one color).</p>
Full article ">Figure 4
<p>The link between women’s capacities and household capacity and monetary livelihood (based on the Lg coefficient, see <a href="#agriculture-15-00319-t009" class="html-table">Table 9</a>).</p>
Full article ">
21 pages, 813 KiB  
Article
Factors Influencing the Adoption of Agroecological Vegetable Cropping Systems by Smallholder Farmers in Tanzania
by Essy C. Kirui, Michael M. Kidoido, Komivi S. Akutse, Rosina Wanyama, Simon B. Boni, Thomas Dubois, Fekadu F. Dinssa and Daniel M. Mutyambai
Sustainability 2025, 17(3), 1148; https://doi.org/10.3390/su17031148 - 30 Jan 2025
Viewed by 682
Abstract
Vegetable production is vital to smallholder farmers, who often struggle to overcome pests, diseases, and extreme weather. Agroecological cropping systems offer sustainable solutions to these issues but their adoption rates in Tanzania remain low. This study examines the factors influencing smallholder farmers’ adoption [...] Read more.
Vegetable production is vital to smallholder farmers, who often struggle to overcome pests, diseases, and extreme weather. Agroecological cropping systems offer sustainable solutions to these issues but their adoption rates in Tanzania remain low. This study examines the factors influencing smallholder farmers’ adoption of selected agroecological cropping systems for vegetable production in Tanzania, which remains underexplored. Using a multistage sampling technique, cross-sectional data were gathered from 525 crucifer and traditional African vegetable farming households within the Arusha and Kilimanjaro regions. Multivariate probit regression analysis, which accounts for the simultaneous adoption of multiple systems, revealed several significant variables influencing adoption. The number of training sessions attended and access to market information positively influenced adoption (p < 0.01), while gross income from vegetable production also had a positive influence (p < 0.05). Conversely, the age of the household head and the region where the farm was located showed negative effects on adoption (p < 0.05). These findings highlight the need for targeted extension services and training sessions focusing on the benefits, methods, and management techniques of agroecological cropping systems. Gender-sensitive policies and interventions should also be developed to address the factors influencing the adoption of agroecological cropping systems. Full article
(This article belongs to the Section Sustainable Agriculture)
Show Figures

Figure 1

Figure 1
<p>Study area map.</p>
Full article ">
21 pages, 2228 KiB  
Article
The Influence of Rural Land Transfer on Rural Households’ Income: A Case Study in Anhui Province, China
by Yuting Xu, Yitian Lin, Hong Yang, Guoliang Xu and Chao Cheng
Land 2025, 14(2), 294; https://doi.org/10.3390/land14020294 - 30 Jan 2025
Viewed by 465
Abstract
This paper looks into the impact of China’s new rural land reform, the three rights separation policy (TRSP), on Chinese farmers’ income. Based on data collected from 360 rural households in Anhui Province, China, 2021, this paper constructed the influence pathways of the [...] Read more.
This paper looks into the impact of China’s new rural land reform, the three rights separation policy (TRSP), on Chinese farmers’ income. Based on data collected from 360 rural households in Anhui Province, China, 2021, this paper constructed the influence pathways of the TRSP on household income and estimated the effects along different pathways using the structural equation model (SEM) model. It showed that through expanding the planting scale and promoting resource-use efficiency, the new land tenure system can indirectly increase transfer-in household income. However, the TRSP has a significant negative direct effect on transfer-out households’ income, and only a slight impact on transferring rural labor to other industries or relaxing the liquidity constraint. In short, the TRSP’s effect on income gains is more prominent in transfer-in households than transfer-out ones, which in the long run would lead to an increased income gap, more so if transfer-out households lack easy access to non-farm employment. Our findings suggest that public authorities should respect farmers’ autonomy in land transfer decisions and pay special attention to labor transfer in poverty alleviation. Meanwhile, widening income disparities among different groups should be heeded while implementing local governments’ service roles. Full article
(This article belongs to the Special Issue Connections Between Land Use, Land Policies, and Food Systems)
Show Figures

Figure 1

Figure 1
<p>The evolution of the farmland property rights system. Note: Modified from Liu [<a href="#B24-land-14-00294" class="html-bibr">24</a>] and Xu et al. [<a href="#B25-land-14-00294" class="html-bibr">25</a>].</p>
Full article ">Figure 2
<p>The mechanism of how land transfer affects household income.</p>
Full article ">Figure 3
<p>Map of the study area.</p>
Full article ">Figure 4
<p>Theoretical framework and research hypotheses as to the influence of the TRSP on households’ income.</p>
Full article ">Figure 5
<p>The impacts of TRSP on households.</p>
Full article ">
26 pages, 10692 KiB  
Article
Six Decades of Rural Landscape Transformation in Five Lebanese Villages
by Abed Al Kareem Yehya, Thanh Thi Nguyen, Martin Wiehle, Rami Zurayk and Andreas Buerkert
Land 2025, 14(2), 262; https://doi.org/10.3390/land14020262 - 26 Jan 2025
Viewed by 640
Abstract
During the last six decades, Lebanon’s landscapes have undergone significant regime shifts whose causes are under-investigated. Using land cover maps from 1962 and satellite imagery from 2014 and 2023 in five randomly selected villages across Lebanon’s major agroecological zones (AEZs), we identified salient [...] Read more.
During the last six decades, Lebanon’s landscapes have undergone significant regime shifts whose causes are under-investigated. Using land cover maps from 1962 and satellite imagery from 2014 and 2023 in five randomly selected villages across Lebanon’s major agroecological zones (AEZs), we identified salient trends in the urbanization-driven transformation of land use and land cover (LULC). Household socio-economic characteristics and environmental pressures were analyzed as independent variables influencing land use decisions. Logistic regression (LR) was employed to assess the significance of these variables in shaping farmers’ choices to transition toward “perennialization”—namely fruit tree monocropping or protected agriculture. The LR results indicate that education reduced the likelihood of “perennialization” by 45% (p < 0.001). Farm size positively influenced “perennialization” (p < 0.01), suggesting that land availability encourages this agricultural practice. In contrast, water availability negatively affects “perennialization” (p < 0.01), though farmers may still opt to irrigate by purchasing water during shortages. Our findings underline the complex interplay of socio-economic and environmental dynamics and historical events in shaping Lebanon’s rural landscapes and they offer insights into similar transformations across the Middle East and North Africa (MENA) region. Full article
Show Figures

Figure 1

Figure 1
<p>Methodological approach to combine primary and secondary data collection for this study.</p>
Full article ">Figure 2
<p>Map of selected villages from five agroecological zones in Lebanon. (<b>a</b>) Tal Abbass (El Gharbi) in the northern zone; (<b>b</b>) El Abde in the coastal zone; (<b>c</b>) Mikrak in the Bekaa zone; (<b>d</b>) Batloun in the Mount Lebanon zone; (<b>e</b>) Sinay in the southern zone. Sources: Global Administrative Areas Database (GADM), Environmental Systems Research Institute (ESRI), and United States Geological Survey (USGS) assessed in August 2024 using ArcGIS Pro 3.2.0.</p>
Full article ">Figure 3
<p>LULC class variations in the five villages from 1962 to 2023 (percentage out of 100) in five agroecological zones of Lebanon.</p>
Full article ">Figure 4
<p>Spatial LULC change in Sinay village (Lebanon) based on high-resolution landscape maps (1962 and 2014) and 2023 Sentinel-2A satellite data: (<b>a</b>) 1962; (<b>b</b>) 2014; and (<b>c</b>) 2023.</p>
Full article ">Figure 5
<p>Urbanization rate in the five Lebanese villages studied.</p>
Full article ">Figure 6
<p>Sanky diagram showing the change in the number of patches in Tal Abbass, Lebanon (manual input via <a href="http://sankeymatic.com" target="_blank">sankeymatic.com</a>).</p>
Full article ">Figure 7
<p>LULC change in Mikrak village (Lebanon) derived from high-resolution landscape maps (1962 and 2014) and 2023 Sentinel-2A satellite data: (<b>a</b>) 1962; (<b>b</b>) 2014; and (<b>c</b>) 2023.</p>
Full article ">Figure 8
<p>Variation in farmers’ perceptions of the availability and accessibility of water resources across villages in Lebanon The box plot shows vertical lines (whiskers) representing the data range, horizontal lines for the median, and “x” marks for the mean of farmer perceptions.</p>
Full article ">Figure 9
<p>Predicted variation in land use change versus education in five villages of Lebanon. The blue line indicates the fitted regression line and the gray distances from the regression line show the respective confidence intervals.</p>
Full article ">Figure 10
<p>The variation in the logistic regression coefficients (n = 151) in five villages of Lebanon. The blue points represent the coefficient estimates for variables, while the horizontal lines indicate the confidence intervals around these estimates.</p>
Full article ">Figure 11
<p>Trends in the export value of fruits from Lebanon to global markets (source: Ministry of Economy and Trade (Lebanon) and the International Trade Center (ITC)).</p>
Full article ">Figure A1
<p>Spatial LULC change in Tal Abbass (Lebanon): (<b>a</b>) 1962; (<b>b</b>) 2014; and (<b>c</b>) 2023.</p>
Full article ">Figure A2
<p>Spatial LULC change in El Abde (Lebanon): (<b>a</b>) 1962; (<b>b</b>) 2014; and (<b>c</b>) 2023.</p>
Full article ">Figure A3
<p>Spatial LULC change in Batloun (Lebanon): (<b>a</b>) 1962; (<b>b</b>) 2014; and (<b>c</b>) 2023.</p>
Full article ">Figure A4
<p>Variation in the landscape metrics of five villages in Lebanon using Fragstat 4.0 (1962–2023): (<b>a</b>) number of patches (NP); (<b>b</b>) mean patch size (MPS).</p>
Full article ">
14 pages, 457 KiB  
Article
Factors Influencing the Willingness and Ability of Farmers to Adopt TELA Maize Seed in Alfred Nzo District, Eastern Cape, South Africa
by Kwakhanya Gcaba, Mzuyanda Christian, Simon Letsoalo and Dhanya Jagadeesh
Sustainability 2025, 17(3), 973; https://doi.org/10.3390/su17030973 - 24 Jan 2025
Viewed by 348
Abstract
In developing countries, drought is a major climatic challenge that has driven the development of drought-tolerant seed varieties aimed at improving yields and farm incomes; however, the adoption of drought-tolerant seeds, such as the TELA maize hybrid, remains low. This study explored the [...] Read more.
In developing countries, drought is a major climatic challenge that has driven the development of drought-tolerant seed varieties aimed at improving yields and farm incomes; however, the adoption of drought-tolerant seeds, such as the TELA maize hybrid, remains low. This study explored the factors influencing the willingness and ability to adopt TELA maize seed and its potential production implications in Alfred Nzo District, Eastern Cape, South Africa. This study employed a multistage random sampling method to gather data from 120 smallholder maize farmers through a semi-structured questionnaire. Data were collected and analyzed using descriptive statistics and a probit regression model. The results showed that 65% of respondents were male, and 53% were married. Notably, 77% had low educational attainment, with the majority having completed only secondary school or less. Furthermore, 65% of respondents indicated that farming was primarily for livelihood purposes. This study found that limited access to credit and extension services were major obstacles to adopting TELA maize seed technology, compounded by skepticism towards innovation. The findings suggest that addressing these challenges requires the implementation of targeted gender equity programs, improving educational access, and enhancing financial support mechanisms. Additionally, strengthening cooperative engagement and extension services is crucial for promoting technology adoption. By fostering collaboration among stakeholders and providing adequate resources, this study highlights the potential for increased adoption of TELA maize seed, contributing to improved food security in rural households. Full article
Show Figures

Figure 1

Figure 1
<p>Conceptual Framework for adoption of Tela seeds by smallholder farmers. Source: Author’s compilation, 2022.</p>
Full article ">
16 pages, 2883 KiB  
Article
Implications of Land Ownership Heterogeneity on Household Food Security: A Case Study of Urban Farming in Pietermaritzburg, KwaZulu-Natal Province
by Joyce M. Thamaga-Chitja, Nthabeleng Tamako and Temitope O. Ojo
Land 2025, 14(2), 236; https://doi.org/10.3390/land14020236 - 23 Jan 2025
Viewed by 291
Abstract
Understanding the impact of land ownership on household food security is crucial for achieving sustainable rural and agricultural development in developing countries through improved farm performance. Using a multistage sampling technique to collect data from 156 urban farmers, this study analysed the impact [...] Read more.
Understanding the impact of land ownership on household food security is crucial for achieving sustainable rural and agricultural development in developing countries through improved farm performance. Using a multistage sampling technique to collect data from 156 urban farmers, this study analysed the impact of land ownership on household food security of urban farmers in Pietermaritzburg, KwaZulu-Natal Province of South Africa. This study employed the probit model to evaluate the drivers of land ownership among urban farmers, while the marginal treatment effects model was employed to address selection bias attributed to observed and unobserved characteristics. The analysis of food security status reveals varying degrees of food insecurity, with the majority of households experiencing mild food insecurity and a smaller proportion facing moderate food insecurity. Our results show that land ownership likelihood is positively and significantly influenced by monthly income, age, and membership to a cooperative, while gender and distance to market have negative and significant impacts. The empirical results also show that land ownership significantly reduces household food insecurity by 50%. In conclusion, the interplay of educational level, household size, access to water, access to credit, and distance to a market with land ownership significantly shapes food security outcomes. A comprehensive understanding of these relationships is essential for developing effective policies aimed at enhancing food security, particularly in regions where land ownership is a critical determinant of agricultural productivity and food availability. Full article
Show Figures

Figure 1

Figure 1
<p>The study areas in KwaZulu-Natal Province, Pietermaritzburg.</p>
Full article ">Figure 2
<p>The urban household food insecurity status of urban farmers in food gardens.</p>
Full article ">Figure 3
<p>Common support showing the frequency distribution of the propensity score by land ownership of urban farmers in Pietermaritzburg.</p>
Full article ">Figure 4
<p>MTE curve for household food insecurity access scale (HFIAS).</p>
Full article ">
19 pages, 526 KiB  
Article
Nutritional Vulnerability of Displaced Persons: A Study of Food Security and Access in Kumba Municipality, Cameroon
by Kevin N. Metuge, Betrand A. Tambe, Fabrice Tonfack Djikeng, Aduni Ufuan Achidi, Given Chipili and Xikombiso G. Mbhenyane
Challenges 2025, 16(1), 7; https://doi.org/10.3390/challe16010007 - 20 Jan 2025
Viewed by 455
Abstract
Concerns about global food insecurity have been growing, particularly in low- and middle-income countries. This study aimed to assess the determinants of food security among internally displaced persons (IDPs)—people who have been forced to flee their homes due to conflict, natural disasters, or [...] Read more.
Concerns about global food insecurity have been growing, particularly in low- and middle-income countries. This study aimed to assess the determinants of food security among internally displaced persons (IDPs)—people who have been forced to flee their homes due to conflict, natural disasters, or other crises—and their children under five, as well as the influence on their nutritional status. Using random sampling, the caregivers of IDPs and children under five in households were included in the study. The caregivers were interviewed using a validated structured questionnaire, while nutritional assessments of both children and adults were conducted through anthropometric and clinical evaluation methods. The findings revealed a high prevalence of food insecurity, with 97.6% of IDP households experiencing some degree of insecurity. Additionally, 28.3% of the surveyed households had high dietary diversity. Among the children, 50.6% were stunted, over a third were underweight, and 15.8% were wasted, indicating severe nutritional deficiencies. Among adults, 28.4% were overweight or obese, while a significant number were underweight. Multiple linear regression analysis showed that the caregivers’ monthly salary and the average amount spent on food were associated with a decrease in food insecurity. Conversely, large household sizes and coping strategies employed to mitigate food insecurity were linked to increased food insecurity. In conclusion, the study highlights a high prevalence of food insecurity among IDP households, forcing families to adopt coping strategies, mainly through dietary modifications. This, in turn, contributes to low dietary diversity and poor nutritional status, with children suffering from underweight, wasting, and stunting. These findings underscore the urgent need for comprehensive interventions, including the distribution of food vouchers, cash transfers, food banks, and support for home gardening and small-scale farming, as well as education on meal rationing, meal planning, and family planning services. Addressing the root causes of food insecurity—namely low household income and large family sizes—can improve access to nutritious food and ensure the health and well-being of IDPs. Furthermore, addressing food insecurity within this vulnerable group is critical to the broader goals of planetary health, as it highlights the intersection of human health, social equity, and environmental sustainability. By promoting sustainable food systems and supporting vulnerable populations, these interventions can contribute to the resilience of both communities and eco-systems in the face of ongoing global challenges. Full article
(This article belongs to the Section Food Solutions for Health and Sustainability)
Show Figures

Figure 1

Figure 1
<p>Household food security of surveyed IDP households in the Kumba Municipality (<span class="html-italic">n</span> = 270).</p>
Full article ">
20 pages, 2008 KiB  
Article
Land Tenure Security and Sustainable Land Investment: Evidence from National Plot-Level Data in Rural China
by Xiaolong Sun, Jinmin Wang and Fangping Rao
Land 2025, 14(1), 191; https://doi.org/10.3390/land14010191 - 18 Jan 2025
Viewed by 311
Abstract
The linkage between land tenure security and land quality improvement investment is crucial given that the land tenure security system is a widely applied policy tool for the protection of cultivation land in developing countries. Drawing on the triple land tenure security framework, [...] Read more.
The linkage between land tenure security and land quality improvement investment is crucial given that the land tenure security system is a widely applied policy tool for the protection of cultivation land in developing countries. Drawing on the triple land tenure security framework, this paper examines the impact of the de jure and the de facto land tenure security on farming households’ decisions about using organic fertilizer on their plots in China, based on a national survey dataset covering 2308 plots matched with 962 farming households across 8 provinces in China (Shangdong, Shangxi, Jilin, Zhejiang, Henan, Gansu, Hunan, and Sichuan) from January to July 2013. The empirical results show that the de facto land tenure security affected the use of organic fertilizer by the farming households positively. In comparison, the impact of the de jure land tenure security on the use of organic fertilizer by farming households was modest. It is suggested that the government should implement the policies effectively to promote de jure land tenure security and encourage farming households to make sustainable land investment. Full article
Show Figures

Figure 1

Figure 1
<p>The plot distribution of the eight provinces in China.</p>
Full article ">
18 pages, 1064 KiB  
Article
The Impact of Agricultural Digitization on Land Productivity: An Empirical Test Based on Micro Panel Data
by Hongming Zhang and Haihua Zhu
Land 2025, 14(1), 187; https://doi.org/10.3390/land14010187 - 17 Jan 2025
Viewed by 417
Abstract
Digital technology has transformed agriculture by changing traditional production methods and resource allocation. This paper investigates how agricultural digitization affects land productivity, based on farm household data. Findings indicate that agricultural digitization significantly enhances land productivity, with results remaining robust under sensitivity and [...] Read more.
Digital technology has transformed agriculture by changing traditional production methods and resource allocation. This paper investigates how agricultural digitization affects land productivity, based on farm household data. Findings indicate that agricultural digitization significantly enhances land productivity, with results remaining robust under sensitivity and endogeneity tests. Heterogeneity analysis reveals that the positive effects are more pronounced for larger landholdings, lower levels of human capital, and older farming populations. Mechanism analysis indicates that agricultural digitization improves land productivity by optimizing resource allocation, reducing pollution, enhancing risk resilience, and facilitating the adoption of new technologies. These findings provide valuable insights for developing countries pursuing agricultural digital transformation. Full article
(This article belongs to the Section Land Socio-Economic and Political Issues)
Show Figures

Figure 1

Figure 1
<p>Theoretical analysis framework.</p>
Full article ">Figure 2
<p>Staterate_total Estimated Coefficients.</p>
Full article ">Figure 3
<p>Staterate_total Estimated Coefficient T-statistic.</p>
Full article ">Figure 4
<p>Worst-case Estimation for Overturning Staterate_total Estimation Results.</p>
Full article ">
32 pages, 4016 KiB  
Review
Animal Brucellosis in Egypt: Review on Evolution, Epidemiological Situation, Prevalent Brucella Strains, Genetic Diversity, and Assessment of Implemented National Control Measures
by Ahmed M. S. Menshawy, Acacia Ferreira Vicente, Yamen M. Hegazy, Vitomir Djokic, Mahmoud E. R. Hamdy, Luca Freddi, Essam M. Elbauomy, Ashraf E. Sayour, Claire Ponsart and Nour H. Abdel-Hamid
Microorganisms 2025, 13(1), 170; https://doi.org/10.3390/microorganisms13010170 - 15 Jan 2025
Viewed by 644
Abstract
Brucellosis is a neglected zoonotic disease that has a significant economic and public health impact, especially in endemic countries. This review delves deeply into brucellosis’s current epidemiological situation and potential sources of livestock infection in Egypt during the last two decades. MLVA-16 and [...] Read more.
Brucellosis is a neglected zoonotic disease that has a significant economic and public health impact, especially in endemic countries. This review delves deeply into brucellosis’s current epidemiological situation and potential sources of livestock infection in Egypt during the last two decades. MLVA-16 and Whole Genome Sequencing based on core-genome SNP analyses confirm the presence of different B. abortus and B. melitensis outbreak strains, both older widely disseminated Brucella strains and newly introduced ones. Despite implementing the test-and-slaughter control strategy over forty years, the disease is still endemic, and different Brucella species circulate among several animal species. The raising of mixed animal species in the same households or farms, exposure to aborted animals, and lack of public awareness about brucellosis transmission are among the main risk factors for increasing livestock brucellosis prevalence in Egypt. Young animals’ voluntary vaccination, lack of a nationwide animal identification system, and uncontrolled animal movement stand beyond the ineffectively applied control strategy and may be subdued by applying mass vaccination to decrease disease prevalence dramatically and target imported camels, domestic pigs, and dogs (housed and stray) in the national control surveillance. Increasing awareness through educational campaigns is compulsory to reduce brucellosis transmission risk to livestock/humans. Full article
(This article belongs to the Section Veterinary Microbiology)
Show Figures

Figure 1

Figure 1
<p>The prevalence estimates of brucellosis among different ruminant species in different governorates of Egypt in the period 2000–2010 were carried out by several authors.</p>
Full article ">Figure 2
<p>The prevalence estimates of brucellosis among different ruminant species in different governorates of Egypt in the period of 2011–2021 were carried out by various authors.</p>
Full article ">Figure 3
<p>The prevalence estimates of brucellosis among camels in different governorates of Egypt from 2011 to 2023 were carried out by different authors.</p>
Full article ">Figure 4
<p>A proposed summary of the actual status of brucellosis prevalence among different animal species in Egypt in the last 30 years.</p>
Full article ">Figure 5
<p>The time series graph represents brucellosis cases among ruminants in Egypt during the period from 2005 to 2023.</p>
Full article ">Figure 6
<p>Prevalent <span class="html-italic">Brucella</span> species recovered from bovines (cattle and buffaloes) and small ruminants in different Egyptian governorates during 2000–2023.</p>
Full article ">Figure 7
<p>MLVA-16 minimum spanning tree of the Egyptian <span class="html-italic">B. abortus</span> biovar 1 strains. Circles represent MLVA-16 genotypes, colored according to host isolation, and the size of the circle indicates the number of strains sharing the same genotype. Egyptian <span class="html-italic">B. abortus</span> bv1 strains (n = 62) were analyzed, including the reference strain 544. Each host is represented by a different color: buffaloes (n = 6) in brown, cattle (n = 48) in green, a cat (n = 1) in pink, a dog (n = 1) in yellow, humans (n = 2) in purple, sheep (n = 4) in blue and the reference strain 544 in gray.</p>
Full article ">Figure 8
<p>Global distribution of MLVA-16 genotypes of the worldwide <span class="html-italic">B. abortus</span> biovar 1 isolates. MLVA-16 minimum spanning tree describing the relationships of 527 <span class="html-italic">B. abortus</span> biovar 1 isolates (Africa other than Egypt, n = 3; Asia, n = 236; Central America, n = 1; Europe, n = 148; Egypt, n = 62; North America, n = 4; South America, n = 71; origin not reported sample—N/A, n = 1). Circles represent MLVA-16 genotypes, colored according to the continent of origin, and the size of the circle indicates the number of strains per genotype.</p>
Full article ">Figure 9
<p>(<b>a</b>) MLVA-16 minimum spanning tree of 62 <span class="html-italic">B. abortus</span> recovered from different Egyptian governorates. MLVA profiles are colored according to the Egypt region origin: Alexandria region (n = 11), Delta region (n = 33), Greater Cairo (n = 3), North Upper (n = 5), South Upper (n = 1), Suez Canal region (n = 8), N/A (n = 1) and the reference strain 544. (<b>b</b>) MLVA-16 minimum spanning tree of <span class="html-italic">B. abortus</span> biovar 1 and <span class="html-italic">B. abortus</span> rough strains from Egypt. Circles represent MLVA-16 genotypes, colored according to the <span class="html-italic">Brucella</span> species, and the size of the circle indicates the number of strains with that genotype.</p>
Full article ">Figure 9 Cont.
<p>(<b>a</b>) MLVA-16 minimum spanning tree of 62 <span class="html-italic">B. abortus</span> recovered from different Egyptian governorates. MLVA profiles are colored according to the Egypt region origin: Alexandria region (n = 11), Delta region (n = 33), Greater Cairo (n = 3), North Upper (n = 5), South Upper (n = 1), Suez Canal region (n = 8), N/A (n = 1) and the reference strain 544. (<b>b</b>) MLVA-16 minimum spanning tree of <span class="html-italic">B. abortus</span> biovar 1 and <span class="html-italic">B. abortus</span> rough strains from Egypt. Circles represent MLVA-16 genotypes, colored according to the <span class="html-italic">Brucella</span> species, and the size of the circle indicates the number of strains with that genotype.</p>
Full article ">Figure 10
<p>MLVA-16 minimum spanning tree of worldwide <span class="html-italic">B. abortus</span> rough strains (Rb51) isolates in Costa Rica (n = 11), Egypt (n = 12), India (n = 1), Italy (n = 1), Portugal (n = 2), and the USA (n = 7). A minimum spanning tree was created using a categorical coefficient with a categorical coefficient. The size of the circles reflects the number of isolates with a particular MLVA genotype. The length of the line reflects the genetic distance between genotypes.</p>
Full article ">Figure 11
<p>Egyptian distribution of MLVA-16 genotypes of the <span class="html-italic">B. melitensis</span> biovar 3 isolates colored by host. A total of 324 Egyptian <span class="html-italic">B. melitensis</span> bv 3 strains were analyzed, including the reference strain Ether. Each host is represented by a different color: buffalo (n = 47) in brown, camel (n = 4) in orange, cattle (n = 154) in green, goat (n = 25) in yellow, human (n = 19) in purple, sheep (n = 72) in blue, origin not reported (N/A) sample (n = 3) in white and the reference strain Ether in gray.</p>
Full article ">Figure 12
<p>MLVA-16 MST of Egyptian <span class="html-italic">B. melitensis</span> biovar 3 was divided into 35 clusters including the reference strain Ether. MLVA profiles are colored according to the Egypt region origin: Alexandria region (n = 7), Delta region (n = 114), Greater Cairo (n = 32), Middle-Upper (n = 14), North Upper (n = 42), South Upper (n = 1), Suez Canal region (n = 36), N/A (n = 78) and the reference strain Ether. For the portioning clustering analysis, nodes closer than 1 have been put into the same partition. Every partition contains at least 1 entry. Every partition contains at least 1 node. Letter (A) corresponds to the strains from the rose lineage in <a href="#microorganisms-13-00170-f012" class="html-fig">Figure 12</a>; (B) corresponds to the strains from the green lineage in <a href="#microorganisms-13-00170-f012" class="html-fig">Figure 12</a>; (C) corresponds to the strain in the yellow lineage in <a href="#microorganisms-13-00170-f012" class="html-fig">Figure 12</a>.</p>
Full article ">Figure 13
<p>MLVA-16 minimum spanning tree describing the relationships of 2077 worldwide <span class="html-italic">B. melitensis</span> biovar 3 isolates. Circles represent MLVA-16 genotypes, colored according to the continent of origin, and the size of the circle indicates the number of strains with that genotype. For the partitioning lineage analysis, nodes closer than 5 have been put into the same partition. Every partition contains at least 1 entry. Every partition contains at least 1 node.</p>
Full article ">
20 pages, 1230 KiB  
Article
Factors Affecting the Choice and Level of Adaptation Strategies Among Smallholder Farmers in KwaZulu Natal Province
by Merishca Naicker, Denver Naidoo, Simphiwe Innocentia Hlatshwayo and Mjabuliseni Simon Ngidi
Sustainability 2025, 17(2), 488; https://doi.org/10.3390/su17020488 - 10 Jan 2025
Viewed by 583
Abstract
Smallholder vegetable farmers grow diverse crops for family use and surplus sales. These farming activities contribute to enhancing local food security and the economy, but the farmers face challenges like limited resources and climate vulnerability. These smallholder farmers are more susceptible to climate [...] Read more.
Smallholder vegetable farmers grow diverse crops for family use and surplus sales. These farming activities contribute to enhancing local food security and the economy, but the farmers face challenges like limited resources and climate vulnerability. These smallholder farmers are more susceptible to climate variability and therefore need effective adaptation strategies to mitigate the challenges. This study sought to determine the factors that influence the choice and level of adaptation strategies among smallholder vegetable farmers in KwaZulu Natal Province. Primary data utilized in this study were obtained from 200 participants that were selected through random sampling. The descriptive results indicated that the majority of the farmers experienced climate variability and employed carbon and water-smart agricultural practices. The study employed the Multivariate Probit Model and Count Data Model/GLM Correlation Test to analyze the adaptation strategies and the level of their implementation by the selected vegetable farmers. The first hurdle of the probit model results showed that education level and land size positively and significantly influence smallholder farmers’ adaptation strategies, while marital status, household size, income source, soil type, membership of the association, and supply chain involvement had a significant and negative effect on adoption of adaptation strategies. The results from the second hurdle showed that household size, the total size of land used for vegetable production, sandy, silt, and loam soil had a significant and negative effect on the level of adaptation strategy used, whilst the total size of land owned had a positive and significant impact on the level of adaptation strategy used by the smallholder vegetable farmers. The study concludes that education level and total land size are associated with improved farmers’ climate variability adaptative capacity. The vegetable farmers’ ability to adapt to climate variability challenges was negatively influenced by factors like marital status, household size, and soil type negatively impacted these strategies. The study recommends that the government considerably supports the Climate Smart Agriculture initiatives, such as alternatives like hot houses, training, credit access, and sustainable practices to enhance farmers’ resilience and national food security. These may include but are not limited to alternatives like hot houses, as well as addressing barriers through training, credit access, and sustainable practices to enhance farmers’ resilience and national food security. Full article
Show Figures

Figure 1

Figure 1
<p>Map of the study area—KwaZulu Natal Province, South Africa (accessed from DAFF: <a href="https://www.researchgate.net/publication/346937802/figure/fig1/AS:972334794018817@1608834088348/Map-of-KwaZulu-Natal-district-municipalities-DAFF-nd_Q320.jpg" target="_blank">https://www.researchgate.net/publication/346937802/figure/fig1/AS:972334794018817@1608834088348/Map-of-KwaZulu-Natal-district-municipalities-DAFF-nd_Q320.jpg</a>, accessed on 8 July 2024).</p>
Full article ">Figure 2
<p>Smart agriculture practices used by smallholder farmers.</p>
Full article ">Figure 3
<p>Reasons why the sampled population did not use certain adaptation strategies.</p>
Full article ">
33 pages, 1251 KiB  
Article
Psychological Poverty Traps in Rural Farm Households: Implications for Sustainable Agricultural Development and Rural Revitalization in China
by Dong Zhang, Hongfeng Zhang, Ziran Meng and Jianxu Liu
Agriculture 2025, 15(1), 53; https://doi.org/10.3390/agriculture15010053 - 28 Dec 2024
Viewed by 490
Abstract
In the context of sustainable agricultural development and rural revitalization in China, understanding and addressing psychological poverty traps among rural farm households is crucial. The poverty mindset represents a crucial factor affecting rural poverty. This study focuses on two key questions: first, whether [...] Read more.
In the context of sustainable agricultural development and rural revitalization in China, understanding and addressing psychological poverty traps among rural farm households is crucial. The poverty mindset represents a crucial factor affecting rural poverty. This study focuses on two key questions: first, whether and how material poverty influences the poverty mindset; and second, whether this psychological state affects economic behavior, potentially intensifying material poverty. Using data from the China Family Panel Studies (CFPS) spanning 2014–2018, the data collection employed a multi-stage stratified sampling approach. Multiple methods, including questionnaire surveys and in-depth interviews, were utilized to gather information. Through matching and merging processes based on personal questionnaire IDs, a total of 30,143 observations were obtained over a three-year period. We employ Causal Mediation Analysis (CMA) to examine the micro-level mechanisms between material and psychological poverty among rural farm households. Our findings reveal three key insights. First, material poverty significantly reduces aspiration levels and behavioral capabilities of rural farm households, with impoverished groups scoring approximately 10% lower than non-poor groups. Second, this negative impact operates through two primary channels: stigma effects (self-stigmatization 11.29%, social stigma 4.71%) and psychological resource depletion (negative emotions 1.5%, psychological stress 1.27%). Third, psychological poverty reinforces material poverty through aspiration failure (72.3%) and capability deficiency (75.68%), creating a self-perpetuating “psychological poverty trap” that particularly affects agricultural production efficiency. These findings suggest that sustainable agricultural development requires addressing both material and psychological dimensions of rural poverty. Policy recommendations include strengthening psychological support for farm households, enhancing agricultural capacity building, mitigating stigma effects in rural communities, and reconstructing psychological resources for sustainable development. This integrated approach can help break psychological poverty traps, improve agricultural productivity, and support rural revitalization in China. Full article
Show Figures

Figure 1

Figure 1
<p>Research framework.</p>
Full article ">Figure 2
<p>PSM matching test of the treatment effects of poverty on aspirational levels and ability levels.</p>
Full article ">Figure 3
<p>Sensitivity test for causal mediating effects. Note: The solid line is the axis, the horizontal axis is the sensitivity coefficient ρ, the vertical axis is the corresponding ACME value, and the shaded area is the ACME 95% confidence interval.</p>
Full article ">
Back to TopTop