Farm Households Research Articles

Food insecurity in the community: a cross-sectional study in the Portuguese and immigrant population of Amadora

Introduction: Food insecurity, defined as limited or uncertain access to adequate food, is recognized as a public health problem linked to poor eating habits, chronic diseases, and social inequalities. This study aims to characterize and compare food insecurity status among immigrant and Portuguese populations receiving primary health care in Amadora. Methods: A cross-sectional study was conducted based on interviews with individuals aged 18 and above, living in Amadora for at least one year. Sociodemographic and health status variables were collected, and food insecurity was assessed using a Portuguese adapted version of the US Department of Agriculture Household Food Security Survey Module. Data analysis included binary logistic regression to explore the predictive capacity of variables, with food insecurity as the outcome. Results: The estimated prevalence of household food insecurity was 29.7%, with 10.5% classified as severely food insecure. Single individuals (OR 3.090; IC 1.353-7.059), those with basic education (OR 3.296; IC 1.175-9.247); immigrants (OR 4.358; IC 2.206-8.611), households with three or more members (OR 2.686; IC 1.019-7.079), and incomes below €1100 (OR 7.359; IC 2.613-20.726) were more likely to belong to food insecure households. When Portuguese households were analysed, low income (OR 8.730; IC 2.607-29.232) and smoking habits (OR 3.375; IC 1.345-8.469) were found to be potential determinants of food insecurity. As for immigrant households, being single (OR 6.002; IC 1.404-25.659), having a household with three or more members (OR 13.953; IC 2.119-91.887), and low income (OR 7.110; IC 1.257-40.226) increased the risk of food insecurity. Conclusion: The results of this study show that food insecurity is significantly associated with sociodemographic and health factors, with differences between Portuguese and immigrant populations. Awareness of this problem and the need for monitoring should therefore be raised to prioritize community interventions.

Empowering Forestry Management and Farmers’ Income Growth Through the Digital Economy—Empirical Evidence from Guizhou Province, China

Facilitating the sustained and stable growth of farmers’ income is crucial for achieving sustainable development in forest regions. As an emerging driving force, the digital economy has demonstrated substantial potential in enhancing farmers’ income and promoting regional economic prosperity in forest areas. Based on survey data from 1043 households across 10 counties in Guizhou Province, China, this study empirically examined the direct and indirect effects of digital economy participation on income growth among farmers in forest regions. The findings revealed that, first, participation in the digital economy significantly contributed to income growth for these households. This effect remained robust across various estimation methods, restricted sample tests, and when replacing dependent variables. Second, forestry management and its diversification played a mediating role in the relationship between digital economy participation and farmers’ income. Participation in the digital economy indirectly influenced income growth by fostering forestry management activities and their diversification. Third, the heterogeneity analysis indicated that digital economy participation had a significant positive impact on the income growth of pure farming households, part-time farming households, and households that had previously escaped poverty. This discovery underscored the unique role of the digital economy in alleviating poverty and preventing its recurrence. The conclusions of this study provide essential theoretical and practical guidance for empowering forestry development through the digital economy and advancing the digital transformation of the forestry industry. More critically, this research presents a novel pathway for the deep integration of the digital economy with forestry, jointly fostering income growth for farmers in forest regions, which holds significant implications for achieving rural sustainable development.

Improving dietary diversity and food security among low-income families during financial crisis using cash transfers and mHealth: experience from two selected districts in Sri Lanka.

The economic crisis in Sri Lanka worsened food insecurity, with millions facing moderate-to-severe food shortages. This study evaluates the effectiveness of cash transfers combined with mobile health education in enhancing dietary diversity and food security among Sri Lankan households during the crisis. This quasi-experimental single-group pre-post study involved 1040 eligible individuals selected through stratified random sampling from eligible households of Samurdhi beneficiaries and smallholder farmers. The intervention included a cash transfer of LKR 22,500 and weekly nutrition awareness messages via WhatsApp and SMS complemented by a one-time awareness session. Dietary diversity and food security were assessed using standard validated tools such as the Diet Quality Questionnaire and Food Security Questionnaire. Food insecurity decreased significantly from 89.3% (n = 681) in the pre-test to 76.9% (n = 533) in the post-test, with a 12.4% reduction (95% CI, 8.57 to 16.24, p < 0.05). The Minimum Dietary Diversity for Women improved from 44.5 to 67.8% [23.3% increase (95% CI, 15.89 to 30.63; p < 0.05)]. The mean NCD-Protect and GDR scores increased significantly, indicating a higher adherence to global dietary recommendations, whereas the NCD-risk scores remained unchanged. This study demonstrated that cash transfers combined with mobile phone-based nutritional education significantly improved dietary diversity and food security among low-income families in Sri Lanka during the financial crisis. Not applicable.

Analyzing the adoption of nutrition-sensitive carp-SIS polyculture technology: evidence from a case study in Bangladesh

IntroductionSmall indigenous species (SIS) of fish are rich in micronutrients that are essential to combat the existing malnutrition in Bangladesh. However, their availability is constantly decreasing due to gradual environmental degradation making their availability irregular and hence expensive in the market. Integrating SIS with carps in homestead ponds is being promoted as a form of nutrition-sensitive aquaculture to enhance both production and consumption of these nutrient-rich species. Various improved pond management techniques (IPMTs) are suggested to boost the nutrition-sensitive carp-SIS polyculture.ObjectivesThis study examines the trends and factors influencing the adoption of IPMTs using the sustainable livelihood framework (SLF) approach. We address the following three key questions: (i) What are the trends in production and consumption of fish, in particular SIS from homestead ponds? (ii) Have farm households adopted or disadopted IPMTs over time? (iii) What are the determinants of adoption and disadoption of IPMTs?MethodsBased on primary data of 234 households from Barishal district from 2014 and 2022, we perform significance tests to compare project and non-project households in 2014 versus 2022 and apply fixed effects Poisson regression and fixed effects negative binomial regression models to identify household decisions to adopt the IPMTs.Results and conclusionQuantitative survey results indicate a significant increase in the production and consumption of SIS over time. In 2014, the project households exhibited adoption rates of 60% or more for various IPMTs such as stocking of fast-growing species, pre-stocking liming, pond dike construction, fertilizer application, stocking of high quality fish seeds, aquatic weed control, and turbidity management. However, by 2022, some of these IPMTs were disadopted by project households and only a few techniques, including providing sunlight exposure to ponds, pre-stocking liming, and supplementary feeding, were more widely used. Additionally, many non-project households also increased their adoption rates of IPMTs significantly. The fixed effects regression model shows that adoption is positively influenced by the number of household members participating in aquaculture, size of the pond, sole ownership of the pond and the number of years household has been involved in aquaculture. Follow-up activities such as monitoring and training of the project beneficiaries and government support are recommended to support long-term adoption of the IPMTs.

Culture-Independent Quantitative PCR Detected Mobilized Colistin Resistance Genes (mcr-1, mcr-2, mcr-3, mcr-4, and mcr-5) in Chicken Gut Contents in Bangladesh

Inappropriate antimicrobial use in food animal farming propels antimicrobial resistance (AMR) that affects all health domains. Colistin is a ‘Reserve’ antibiotic for human treatment to be conserved for multidrug-resistant pathogens; however, it is being used as an animal growth promoter in many developing countries. The evolution of mobilized colistin resistance (mcr) gene-mediated colistin resistance has been reported to be associated with rampant colistin use. This study investigated the current variants of the mcr gene in chicken gut contents in Bangladesh. A cross-sectional study was designed to assess the mcr-1 to mcr-5 genes in 80 fresh poultry droppings from commercial poultry farms and 40 poultry droppings from household farms. DNA was extracted from each poultry dropping using commercial kits (Qiagen GmbH, Hilden, Germany). Real-time quantitative polymerase chain reaction (RT-qPCR) was employed using the qTOWER3 thermal cycler (Analytik Jena GmbH, Jena, Germany) to analyze the mcr gene variants in the extracted DNA. This study observed that 47.5% (57/120) of the samples exhibited the presence of at least one mcr gene out of the five variants investigated. The individual detection rates of the mcr-1, mcr-2, mcr-3, mcr-4, and mcr-5 genes were 42.5% (51/120), 2.5% (3/120), 1.7% (2/120), 5% (6/120), and 9.2% (11/120), respectively. The co-carriage of two or more genes was found in over 10% (10/57) of the samples. The triple occurrence of mcr genes was identified in three samples with the combination of mcr-1+mcr-2+mcr-4, mcr-1+mcr-3+mcr-5, and mcr-1+mcr-4+mcr-5. Overall, a significantly higher number of mcr genes were identified in the commercial farm chicken droppings compared to the household chicken droppings (p = 0.007). The existence of mcr genes in poultry feces in Bangladesh emphasizes the importance of proper poultry waste disposal and good hygiene practices in poultry livestock and its value chain. The potential impact of environmental ARGs should be considered in national and global policy documents. An integrated and combined approach to the One Health concept should be applied in all domains to understand and control the environment’s role in the evolution and transmission of AMR.

Effects of vegetable commercialization on household food security: a generalized propensity score matching approach

ABSTRACT The commercialization of smallholder farmers is seen as the most significant driver of improved food security and household welfare in most countries with low-agricultural economies. This study used a Generalized Propensity Score Matching (GPSM) approach to evaluate the average causal effects of vegetable commercialization levels on the food security status of households in Sabbata Hawas Woreda, Oromia Region, Ethiopia. Data were collected through surveys of 385 farm households, key informant interviews, focus group discussions, and observations. The results revealed that vegetable commercialization had both positive and negative effects on households’ food security. The MAHFP increased steadily as the levels of commercialization increased. However, the lower levels of commercialization are associated with negative outcomes for calorie intake, food consumption scores, and household dietary diversity scores. The caloric intake, HDDS, and FCS were improved after commercialization levels reached 50%, 40%, and 25% respectively. The findings indicate that an increase in commercialization may not always lead to consistent increases across all indicators of food security and it has heterogeneous effects on households with different levels of commercialization. The subsequent policy recommendations of the study results are that, even though smallholder commercialization strategies are crucial for ensuring increased food production, productivity, and incomes for food security, it still requires taking into account the heterogeneous food security effects of vegetable commercialization levels.

Perception of smallholder farmers about climate change and its impacts on crop production across agroecological zones of the Gassera District, Southeastern Ethiopia.

Climate change and variability have threatened rainfed agriculture by affecting the livelihoods of rural communities in Ethiopia. The study area, Gassera District, is among the high-potential crop production areas of the Bale Zone and is severely impacted by recurrent droughts resulting from climate change. This study evaluated smallholder farmers' perceptions of significant climate change and its effects on food crop production across the agroecological zones of the Gassera District. A cross-sectional survey design was employed to collect data from 444 farm households via multistage random sampling techniques. Multiple linear regression (MLR) models were used for the data analysis. The results revealed that 98.5% of the interviewed farmers were aware of climate variability and that 51.6% understood its impact to a reasonable extent. However, over half of the farmers did not perceive climate change as the greatest threat to their livelihood. Most farmers experienced rain becoming more erratic, starting late, and ending early as medium climatic factors (60.4%, 68.1%, and 66.2%, respectively), affecting their crop production. The results revealed that rainfall had a negative and insignificant decreasing trend (2.92mm/year). The annual mean temperature exhibited a positive and statistically significant increasing trend (Ρ < 0.01). Crop production is positively and linearly correlated with the amount of annual rainfall at the Ρ ≤ 0.05 level of significance. The findings revealed that the greatest crop yield loss was associated with lowland agroecology. The MLR results revealed that farmer agroecology, age, sex, and chemical use had substantial impacts on crop yield loss. We urge farmers to understand the long-term effects of climate change on their livelihoods.

Quantifying farmers' Livelihood Efficiency, Regional Indicators and Its Influencing Factors: Implementing an Improved Sustainable Livelihood Framework

ABSTRACTResearch on sustainable livelihoods tend to emphasis on objective and macroregional aspects. However, there is space to expand research on the farmers' livelihoods in the context of poverty alleviation and rural revitalization development. This paper uses a field survey on farmers' livelihood efficiency, influencing factors and mechanisms of farmers' livelihood efficiency in the Qinba mountainous areas of southern Shaanxi China. Based on DEA and Tobit approaches, the authors investigate farmer livelihood efficiency and analyze the disparities according to the farm households' socio‐demographics descriptions. Findings of this study show that, livelihood efficiency is a new entry point of sustainable livelihoods for farmers, and currently, the overall livelihood efficiency of farmers in the study area is low, which needs to be further improved. The results also show that the willingness of environmental protection activities, village busses and government financial expenditure have a significant positive impact on the livelihood efficiency, while the abandonment has a significant negative impact on the livelihood efficiency of farmers. These factors have significant differences in the impact of farmers' technical efficiency and scale efficiency. The results further indicate that, utilization and conversion rate of the existing livelihood capital of farmers is low. Livelihood diversification should be stimulated to enhance “livelihood export” and its operation ability of livelihood capital accumulation. The study findings also propose that, there is a need of reform of dual paths to improve the efficiency of farmers' livelihood, and promote farmers' livelihood development with “wide path” and “wide choice.”

The association between food production, food security, household consumer behaviour and waist-hip ratio amongst women in smallholder farming households in Kilifi County, Kenya.

Food insecurity disproportionately affects smallholder farming households and within them women, who bear primary caregiving responsibilities and contend with time and resource constraints that heighten their vulnerability to adverse nutrition-related health outcomes. This study cross-sectionally investigates the association between food production practices, household consumer behaviour, and the experience of food insecurity with women's waist-hip ratio (WHR), a key indicator of abdominal obesity, in a coastal community in Kenya. In total, 394 households were randomly selected from a list of farming households in Kaloleni and Rabai sub-counties of Kilifi. Trained enumerators administered questionnaires to adult female family members who play a pivotal role in household management. Household dietary diversity scores (HDDS) were computed from 16 food groups consumed in the 7 days preceding the survey. Waist-hip measurements focused on these females, representing vulnerable populations. Pathway-based regression models were constructed using STATA version 13 (p < 0.05). Most households practised mixed farming (59.9%) and monocropping (73.2%) and most female respondents were widowed (75.1%) with limited education (73.1% had no formal education) and over 20 years of farming experience. Food insecurity was prevalent, affecting 80.7% of households. Limited dietary diversity was noted with an average HDDS of 9. The most commonly consumed foods were cereals, spices, condiments and beverages, while meat, eggs and fruits were infrequently eaten. An inverse association was observed between HDDS and WHR (standardised regression coefficient = -0.1328; p = 0.026) but while food insecurity was inversely associated with both HDD and WHR, these associations did not reach statistical significance (HDDS-standardised regression coefficient -0.0294; p = 0.592: WHR-standardised regression coefficient -0.0155; p = 0.791). Existing research has primarily addressed the undernutrition and hunger-related impacts of food insecurity. The findings underscore the need to better understand the complex interplay between food insecurity and nutritional health, including markers of adiposity, to effectively promote health.

Determinants of Microfinance Demand (Evidence from Chiredzi Smallholder Resettled Sugarcane Farmers in Zimbabwe)

Despite the MFI insurgency, agricultural financing remains critically low, even though microcredit is widely accepted as both a substitute and compliment to formal credit. Zimbabwe is an agro-based economy and very little is known about the determinants of microcredit demand and microcredit size in smallholder resettled sugarcane farmers. Research is concentrated in short-term agriculture activities. Thus, this study aims to fill the unattended gap in lagged returns agriculture activities such as sugarcane production which takes at least a year to mature, hence, the greater need for agriculture financing alternatives such as microfinance. The study examined the determinants of both microcredit demand and loan size (magnitude of microcredit participation) by smallholder resettled A2 sugarcane farmers in Chiredzi. Primary data from 370 smallholder resettled sugarcane farmers (214 borrower participants and 156 non-borrower participants) were used. Probit and Tobit regression models were used for data analysis in STATA. Operational costs, interest rate, grace period, and land size significantly affect both the demand for microcredit and microcredit size, while education, household farming assets, extension services, and payback period significantly affect microfinance demand, and risk attitude/perception additionally determine microcredit size. Special microfinance schemes best suitable for the agriculture sector and crop/plant-specific agriculture financing schemes, currency, and macroeconomic stability are the major policy recommendations.

Modeling the Predictors of Poverty in Agricultural Households in Uganda: Application of Multilevel and Interaction Methods

This study aimed to model the predictors of poverty in agricultural households in Uganda. The study's specific objectives were to examine the effect of individual predictors of poverty and analyze the contribution of community predictors of poverty in agricultural households. The study utilized data from the Uganda National Household Survey (UNHS, 2019/20) obtained from the Uganda Bureau of Statistics. A sample of 13,732 households was randomly selected from the total weighted sample representation of 11.3 million households involved in agricultural activities. A logit model was used in the analysis and estimates were provided using multilevel and interaction methods. Key findings suggest that poverty in agricultural households was positively and significantly influenced by the gender of the household head, marital status of the household head, income stability of the household, age of the household head and livestock ownership. Additionally, regional differences accounted for 17.9 % of the variations in poverty levels in Uganda and understanding such regional differences and their influence on poverty levels can assist policymakers and organizations in designing targeted interventions and policies to reduce poverty levels among households. Such measures can address the specific challenges faced by different regions and promote more equitable development across the country. However, poverty in agricultural households was negatively and significantly influenced by residence status, savings account ownership and household size. Based on the study's findings, the key policy recommendations were that; the government should continue implementing gender-focused interventions to address gender disparities among women empowerment programs that involve access to resources including land, equal access to employment opportunities and equal access to education to reduce poverty among women. Regarding income instabilities in agricultural households due to price fluctuations, the government should empower farmers to form farmer groups where they can collectively increase their bargaining power to avoid price fluctuations.

Analisis Tingkat Kesejahteraan Rumah Tangga Petani Padi di Desa Cadaskertajaya Kecamatan Telagasari Kabupaten Karawang

Agricultural development in rural areas not only increases production, but also increases people's income, opens up more job opportunities, and improves welfare. This research aims to analyze farmer household income, farmer household expenditure, and the level of welfare of rice farmer households in Cadaskertajaya Village, Telagasari District, Karawang Regency. The research method used is Mix Method, with primary and secondary data types. Primary data was collected through interviews using questionnaires from 47 rice farmers. Secondary data was obtained from the Central Statistics Agency, Karawang Regency Agricultural Service, Cadaskertajaya Village, and other institutions. Samples were taken using the proportional random sampling method, with the criteria being farmer owners and farm workers. Data analysis uses the Directorate of Land Use's criteria poverty line for household income, the Sayogyo criteria poverty line for household expenditure, and welfare indicators from BPS. The research results show that the average household income of rice farmers in Cadaskertajaya Village is IDR 34,582,351.69 per year and IDR 8,124,446.81 per capita per year. The household expenditure of rice farmers is IDR 25,380,255.32 per year and IDR 8,413,937.59 per capita per year. Based on the poverty line criteria of the Directorate of Land Use, 53.19% of farmers are not poor, and according to the Sayogyo criteria, 82.61% are not poor. The welfare level is calculated using 11 indicators from BPS, with the highest score being 33 and the lowest score being 27, which is still included in the high welfare category.

Adaptation to climate variability and household welfare outcomes in Uganda

Over the last one decade, most of the empirical studies on climate variability have largely concentrated on assessing the effect of climate variability on agriculture. Little attention has been given to the analysis of what factors determine the decision to adapt to climate variability and what impact does it has on welfare of the adapting households. This paper therefore, assesses the determinants of adaptation to climate variability and how it influences welfare of the farming households in Uganda. To achieve this, the study utilizes six waves of Uganda National Panel survey collected by Uganda Bureau of Statistics spanning over a period of 10 years from 2009 to 2019 and the switching regression model for empirical analysis. The findings indicate that adapting to climate variability is beneficial to adaptors as it safeguards welfare deterioration. On the other hand, presence of climate variability, age of the household head, the value of household assets, location, formal land ownership, having main occupation as agriculture and availability of extension services were identified as key determinants of the decision to adapt to climate variability among farming households in Uganda. These findings thus highlight the importance to have measures to improve adaptation process at the same time enhancing household welfare.

Effects of Sustainable Agricultural Practices on Income and Environmental Sustainability of Small Farm Households in Rural Pakistan

Effects of Sustainable Agricultural Practices on Income and Environmental Sustainability of Small Farm Households in Rural Pakistan

Value Chain Analysis of Haricot Bean in East Shewa Zone, Oromia Regional State, Ethiopia

The key objectives of the study were identifying haricot bean value chain actors, their functions and relationship among them, examining actor’s performance along the chain and analyzing factors affecting supply to the market and factors affecting market outlet choice in the study area. Both primary and secondary sources were used for data collection. The primary data was collected through interviewing 180 sample household farmers and 40 traders using semi-structured questionnaires. STATA version 15 Software was used for data analyzing. As the descriptive result indicate that, on average farmers allocate 0.72ha of land for haricot bean production, from which 21.72qt/ha of output gained. In the value chain of haricot bean input suppliers, farmers, collectors, traders, transporters and consumers are the major value chain actors who perform various value chain. From the study result, six marketing channels of haricot bean are exhibited in the study areas. Estimates of the multiple linear regression models indicate that the level of haricot bean supplied to the market is determined by educational level of household, haricot bean farming experience, land allocated for haricot bean, market price of haricot bean, TLU, access to credit, and access to market information. Therefore, policy makers should focus more on the abovementioned variables in the future intervention to increase volume of haricot bean supplied to the market. As the multivariate probit model result indicated that the market outlet choice of rural assemblers was positively and significantly influenced by distance to the nearest market center, distance to all weather road, and educational level whereas it’s negatively and significantly influenced by output level where as selling direct to consumers outlet choice was negatively and significantly affected by sex of household, educational level, farm experience of household in haricot bean, and output level. Urban traders/wholesalers market outlet was positively and significantly affected by sex of household, educational level, haricot bean farm experience, access to credit, access to market information, membership of cooperative, and output level whereas it’s negatively influenced by distance to the nearest market center, distance to all weather road and extension service. Based on the findings of this study, some relevant implications can be drawn that can assist to design appropriate intervention mechanisms to improve market outlets choice of haricot bean farmers in the study area.

A Farming System Approach to Exploring Drivers of Food Insecurity Among Farm Households in Developing Countries: The Case Study of Mozambique

Farm households, especially in developing countries, are among the most vulnerable to food insecurity and poverty. A farming system approach is largely recognized to play an important role in supporting strategies to improve food security and alleviate poverty among farm households. This paper aims at exploring the drivers of food insecurity among farm households in developing countries, using a farming system approach. It also aims to explore farm households’ perceptions regarding the causes of food shortages and the adopted coping strategies, and how these vary across farming systems. This analysis was based on data extracted from an agricultural census, which were analyzed through scatter plots and plot means with 95% confidence intervals. The results indicate that the factors analyzed (level of specialization, market integration, use of yield-raising and labor-saving inputs, farm size, population density, and rainfall) are important drivers explaining food insecurity among farm households, highlighting important differences across farming systems. The analysis also showed that farm households’ perceptions regarding the causes of food shortages are related with the abovementioned drivers of food insecurity. Our findings suggest that less specialized farming systems with better access to markets, using yield-raising and/or labor-saving inputs, are more likely to be food secure. The farming system approach proved to be a useful approach to explore food insecurity drivers and coping strategies as well as to support policymaking. Moreover, the use of an agricultural census data provides an easily attainable tool to access and analyze farm-level data for policy analysis and to explore and understand a range of issues affecting farm households in developing countries.

Assessment of Socio-Economic Determinants of Maize Production among Smallholder Farmers in Nassarawa State, Nigeria

The study focused on assessment of socioeconomic determinants of maize production among smallholder farmers in Nasarawa State. A multistage sampling technique was used for the selection of 171 small holder farmers for the study. A well-structured questionnaire containing both open and closed ended questions was used to collect the data for the study descriptive statistics such as percentage and frequencies and multiple regression analysis were used to achieve the objectives of the study. The socioeconomic result of the smallholder maize farmers in showed that the majority (36.3%) of the farmers were within the age range of 31-40 years of age and were mostly 76.6%) male farmers with the majority married and literate. Also, a greater number (66.1%) were members of association, 71.3% had farming experience between the range of 16-20 years with household size of 4-6, cultivating average farm size of 2-3 acres, had good contact with extension agents though only 4.1% had access to credit facility. The result of the multiple regression analysis showed that farm size, educational status and household size have positive significant effect on the output of maize at 1% and 10% level of significance respectively. The maize production technologies adopted by the majority (88.4%) of the farmers were herbicides and improved variety while the major constraints were high cost of labour, high cost of inputs and poor credit facility. The federal Government should create an enabling environment that guarantees available farmland to farmers since farm size is a critical determinant to maize production.

Determinants of Access to Bank Credit by Smallholder Agricultural Households in Uganda: Evidence from UNHS 2019/2020

Agricultural credit plays a significant role in boosting cash and food crop production for household consumption, domestic and foreign markets. The purpose of this study was to investigate the determinants that affect smallholder farmer’s access to bank credit in Uganda. The study used data from the Uganda National Household Survey 2019/2020 (UNHS). The study utilized a logit regression model for the analysis of data. The findings from the model showed that farmer’s access to bank credit in Uganda was positively and significantly influenced by sex of the household head, income level of the household head, marital status of the household head, age of the household head and ownership of a bank savings account. The study’s conclusions led to the development of key policy recommendations. These include promoting a savings culture through various initiatives, providing incentives such as special savings accounts or matching deposit programs, creating customized banking products to carter to farmers needs and offering free tertiary education to graduates of Universal Primary Education, Universal Secondary Education, and Universal Post O Level Education and Training

Inequality in agricultural greenhouse gas emissions intensity has risen in rural China from 1993 to 2020.

Reducing greenhouse gas (GHG) emissions in crop production while ensuring emission equity is crucial for sustainable agriculture in China, yet long-term large-scale data on GHG emissions intensity (GEI) are limited. Using an extensive dataset based on surveyed farm households (n > 430,000 households) from 1993 to 2020, we reveal that 2015 was a turning point for GEI levels, which dropped 16% in 2020, while inequality-measured as average GHG emissions per unit planted area-increased 13%. The key driving forces behind such trends included farmland input, all other inputs, agricultural labour input and total factor productivity but not capital input. Notably, farmland input and all other inputs contributed to 80% of the inequality, while contribution of total factor productivity gradually declined and was replaced by migration-induced agricultural labour input differences. Reducing GEI levels and guarding against widening inequality require optimizing production factor inputs.

Livelihood diversification and household welfare among farm households in the Philippines

AbstractDiversification of income sources is one of the most common strategies households employ to minimize household income variability and to ensure a minimum level of income that guarantee their food security. This study examines the impact of livelihood diversification on farm profits among smallholder rice farmers in the Central Luzon Region (CLR) of the Philippines using long‐term farm‐level panel data spanning from 1966 to 2016. We employed a random‐effects ordered probit model to investigate the drivers of livelihood diversification and then used the mixed Markov chain model to analyze the transition of households from less to more diversified livelihoods and its impact on farm profits over time. Our findings reveal substantial diversification among households over time. In particular, the elevation of the farm location is a key driver of rice farm households’ probability to diversify. The estimates show that an increase in the latitude of the farm location increases the probability of rice farmers in the CLR to diversify. We find that 64% of the rice farm households constitute farmers for whom diversification can be a strategy for survival. For medium‐ to high‐profit farm categories, diversification tends to protect farmers against farm profit losses arising from adverse climatic and weather variability.