Climate-smart Agricultural Practices Research Articles

Effects of using climate-smart agricultural practices on factor demand and input substitution among smallholder rice farmers in Nigeria

Effects of using climate-smart agricultural practices on factor demand and input substitution among smallholder rice farmers in Nigeria

Enhancing dietary diversity and food security through the adoption of climate-smart agricultural practices in Nigeria: a micro level evidence

AbstractThe paranoid belief that climate change will gradually reduce the ability of the world to meet the demand for food serves as the rationale for Nigerian smallholder farmers’ advocacy of climate-smart agriculture (CSA) techniques. The study investigates the effects of CSA practice on the food security status of rural farming households in Nigeria. A multi-stage sampling technique was employed in selecting 480 rural farming households across three selected states from Southwest, Nigeria. Data were analyzed using descriptive and inferential statistics. Obtained results showed that 59.79% of the respondents were food insecure while severe and depth of food insecure among the farming households were 0.0711 and 0.1913 respectively. The result of the household dietary diversity score revealed the diverse consumption-ability of the respondents and the contributions of CSA practice in their farming system. This implies that households engaged in climate-smart farming are more likely to achieve higher levels of food consumption score, dietary diversity, and food security. The probit regression revealed that the food security status among rural farming households was significantly influenced by household heads’ gender, farm size, and contact with extension agents as well as adopted CSA practices such as crop diversification, agroforestry, and use of Fadama land for agricultural activities. This research concludes that CSA lowered the probability of food insecurity among rural farming households in Nigeria. Accordingly, the study suggests that the government and the key players should encourage the use of CSA practices in order to ensure agricultural sustainability and food security in agrarian communities by reducing the impact of climate change.

Knowledge, Attitude, and Practices on Climate Change Among Rice Farmers in Central Luzon, Philippines

The Philippines has been listed as the topmost affected country by climate change. One of the sectors affected by this climatic change is the agricultural sector. This study aimed to document the knowledge, attitude, and practices (KAPs) on climate change among rice farmers as a baseline study in disseminating the practices on disaster risk reduction management to rice farmers in Central Luzon to reduce risks and improve the rice yield and income of rice farmers. A total of 969 respondents were randomly sampled from the seven provinces of Central Luzon. A survey questionnaire and an unstructured questionnaire were used as instruments in gathering the needed data. Descriptive and thematic analysis were used in analyzing the data. Results revealed that rice farmers are knowledgeable and have favorable attitudes toward the impact of climate change on farming. They sometimes practice climate-smart agricultural practices. Generally, the farmers are affected by weather and climatic conditions as well as the hazards that cause a reduction in rice yield. Climate change has affected farmers in their social well-being, economic aspect, and rice production. In terms of climate change disaster adaptation measures, the farmers sometimes adopt measures in terms of flood and drought and seldom adopt measures in typhoons, erosion, and volcanic eruptions. The study recommends the conduct of capability training on disaster risk reduction in rice production (such as early planting and planting of high-yielding varieties) based on the specific needs of each province.

Using Data Mining Techniques to Develop Climate Change Mitigation and Adaptation Strategies in Nigeria

Climate change is a severe and growing challenge facing Nigeria, with significant impacts on the country's economy, environment, and society. To cope with this challenge, there is a need for climate change mitigation and adaptation strategies that are evidence-based and tailored to the country's unique vulnerabilities and opportunities. This study aimed to develop such strategies using data mining techniques. A range of climate and non-climate data sources were explored to identify key drivers of climate change in Nigeria and their associated impacts on different sectors, such as agriculture, water resources, and energy. Subsequently, data mining algorithms, including decision trees, clustering, and association rule mining, were applied to model and analyze the complex relationships between these drivers and their impacts on the sectors. The study found that a combination of mitigation and adaptation measures could be effective in reducing the severity of climate change impacts in Nigeria. These measures include promoting the use of renewable energy sources, improving water-use efficiency, and developing climate-smart agricultural practices. The data mining techniques used in this study proved useful for identifying these measures and for predicting their effectiveness under different scenarios. The results of this study provide important insights to policymakers and practitioners in Nigeria and other countries facing similar climate change challenges. It also highlights the potential of data mining techniques for developing climate change mitigation and adaptation strategies that are evidence-based, effective, and tailored to specific local contexts. Overall, this study contributes to the growing body of literature on leveraging data mining and machine learning techniques for addressing complex environmental and societal challenges.

Implications of a Climate-Smart Approach to Food and Income Security for Urban Sub-Saharan Africa: A Systematic Review

Climate change presents a significant threat to humanity. It affects agriculture, food supply, and economic development. Urban agriculture (UA) is an alternate climate-smart approach to enhancing food and income security. The climate-smart agriculture (CSA) concept promises to lessen the effects of climate change. Nuanced research is critical to warrant food and income security. This review paper synthesises evidence through a systematic literature search to analyse the implications of CSA practices and climate adaptation strategies for food and income prospects. We also employed bibliometric analysis to show emerging trends and identify knowledge gaps in the ongoing topical discourse. The review elucidates insights into how CSA practices boost urban food production, accessibility, and dietary diversity, ultimately enhancing urban farmers’ food security. The economic benefits of CSA and climate adaptation strategies highlight that UA is vital for improving urban farmers’ income. Despite the opportunities created by UA, the review recognises the critical challenges and trade-offs that call for transforming UA to safeguard food and income security in the face of increasing climate change. The review calls for an all-round UA transformation encompassing urban community-based efforts, capacity building, and policy support mechanisms aimed at advancing climate-resilient UA and ensuring food and income security in an ever-changing environment.

Lower soil nitrogen-oxide emissions associated with enhanced denitrification under replacing mineral fertilizer with manure in orchard soils

Emerging evidence suggests that replacing mineral fertilizers with organic livestock manure can effectively suppress reactive gaseous nitrogen (N) emissions from soils. However, the extent of this mitigation potential and the underlying microbial mechanisms in orchards remain unclear. To address this knowledge gap, we measured nitrous and nitric oxide (N2O and NO) emissions, microbial N cycling gene abundance, and N2O isotopomer ratios in pear and citrus orchards under three different fertilization regimes: no fertilization, mineral fertilizer, and manure plus mineral fertilizer. The results showed that although manure application caused large transient peaks of N2O, it reduced cumulative emissions of N2O and NO by an average of 20 % and 17 %, respectively, compared to the mineral fertilizer treatment. Partial replacement of mineral fertilizers with manure enhanced the contribution of AOA to nitrification and reduced the contribution of AOB, thus reducing N2O emissions from nitrification. Isotope analysis suggested that the pathway for N2O production in the soils of both orchards was dominated by bacterial denitrification and nitrifier denitrification. The manure treatment reduced the ratio of denitrification products. Additionally, the dual isotope mixing model results indicated that partially replacing mineral fertilizers with manure could promote soil denitrification, resulting in more N2O being reduced. N-oxide emissions were on average 67 % higher in the pear orchard than in the citrus orchard, probably due to the differences in soil physicochemical properties and growth habits between the two orchards. These findings underscore the potential of partially replacing mineral fertilizers with organic manure in orchards to reduce gaseous N emissions, contributing to the transition towards environmentally sustainable and climate-smart agricultural practices.

Constructing A Climate-Smart readiness index for smallholder farmers: The case of prioritized bundles of climate information services and climate smart agriculture in Ghana

Issues around bundling of climate smart agriculture (CSA) and climate information services (CIS) have been kept relatively distinct whereas in reality, they are more impactful when integrated. Using the case of the Accelerating Impacts of CGIAR Climate Change Research in Africa (AICCRA) Project that emphasizes bundling as a critical component of research in development, six regions of Ghana were purposively selected based on the identified value chain crops for implementation. 120 respondents including practicing farmers and advisors as reference, rated contributions of 21 innovations to 25 climate smartness indicators. These include gender, youth and social inclusion (GSI), enabling environment (EE), ability to enhance soil, water, crop and animal health (One-Health Achievement) (OHA), end-user friendliness (EUF) and climate smart agriculture (CS) for prioritization, bundling and ultimately to construct a Climate Smart Readiness Index (CSRI). There was a high level of concordance between the ratings of farmers and advisors on the Climate Smartness; moderate concordance on OHA and a lower concordance on GSI. The CS and EUF had a significant and same agreement among farmers while EE had a substantial same agreement among advisors. These elements (CS, GSI, OHA, EUF, EE) formed an integral part of the CSRI construct confirmed by the Fornell-Larcker and the Heterotrait-Monotrait criteria. While OHA was the fundamental factor in determining CSRI for farmers, EE was considered more important by the advisors. CSRI informs policy makers and agricultural practitioners on appropriate bundling of CSA and CIS practices to generate evidence for farmer preparedness in the context of resilience, productivity, adaptation, and mitigation.

The status of implemented climate smart agriculture practices preferred by farmers of haor area as a climate resilient approach

Bangladesh's Haor regions are famous for their natural resources and are unable to escape climate vulnerability. Triggered by climate vulnerabilities farmers are heading towards climate-resilient approaches. Hence, research was done in the haor area of Sunamganj district to analyze the status of adopted Climate-Smart Agriculture (CSA) techniques in Chhatak, Sunamganj, and Jagannathpur which are prone to severe flooding and climate conditions. Around 450 farmers were randomly selected and CSA adopters were contacted. A structured questionnaire was prepared with open-ended and closed-ended questions. The final questionnaire contained demographic questions and a list of adopted cropland and homestead CSA practices, and the survey proceeded with 115 finalized CSA adopters. MS Excel and SPSS were used to analyze the data. The data were expressed using frequency, percent, mean, and standard deviation. A t-test, analysis of variance, multiple linear regression, Pearson correlation, boxplot, and normal P–P plots were employed to test data normality. The analysis revealed that 30 CSA practices were identified to be practiced in cropland where major preferences were found for appropriate seed storage (100%), USG application (100%), IPM (98%), and good quality seed (95%) in cropland, whereas agroforestry (71%), organic fertilizer application (63%), perching (63%) and IPM (59%) were major CSA practices among the 18 identified practices in homesteads. The adoption level of CSA practices was found in the score category of 11–23 for cropland (90%) and up to 10 for homestead (68%). The results showed that the adoption status of CSA practices was inefficient for quick flood occurrence. CSA practices are not applied enough in haor areas' homesteads due to lack of knowledge, information access, and technical and financial resources. Thus, CSA should be implemented which necessitates working on barriers restricting CSA adoption through strengthening the infrastructure of technologies, supportive policies, and institutional framework.

The Contribution of Climate-Smart Agriculture to Reducing Climate-Related Risks to Rain-Fed Maize Production: Insights from Tanzania’s Semi-Arid and Sub-Humid Regions

Adaptation responses of rain-fed smallholder farming systems to climate change and variability have become more unpredictable. Semi-arid and sub-humid regions are most affected by knowledge gaps on climate change adaptation strategies. Climate-smart agriculture (CSA) practices are crucial because they ensure predictable and effective adaptation responses that reduce crop failures. To determine potential new strategies for farm-level climate change adaptation, this study examined the implications of three CSA practices on rain-fed maize production: crop diversification, intercropping, and planting date adjustment. Plot-level data were obtained from the Tanzania National Panel Survey (TNPS) throughout waves 1 (2008/2009) and 2 (2010/2011). The consistency of the adaptation responses was evaluated using test-retest reliability. The findings showed that intercropping and splitting plots to plant crops other than maize was an analogue for crop diversification and reduced variability of maize grain yields. The panel linear regression model revealed that the yields of maize grains were positively correlated with intercropping and crop diversification (plot division). Moreover, the results of the meta-analysis showed that intercropping, crop diversification, and planting date adjustments could greatly increase smallholder rain-fed maize farmers’ resistance to the effects of climate variability and change. The government and non-governmentalorganizations should be encouraged to provide funding for agricultural extension education, which is a major factor in the implementation of CSA techniques.

Climate-smart agricultural practices among rural farmers in Masvingo district of Zimbabwe: perspectives on the mitigation strategies to drought and water scarcity for improved crop production

Climate change is one of the most significant challenges many rural farmers face in sub-Saharan Africa, as most agricultural practices are rainfed dependent. Many of these rural farmers are small-scale farmers with limited access to financial assets, agricultural equipment, and inputs. With a rapidly changing climate and limited access to agricultural resources, many rural farmers in Zimbabwe have found it extremely difficult to engage in meaningful crop production activities and secure their livelihoods and incomes. This paper employs participatory research methods to examine adaptive strategies adopted by rural farmers. The strategies include optimal water resource utilisation, early maturing seed adoption, soil and water conservation (SWM), and nutrient management techniques (NMT). Cost-effective integration of labour and post-harvest storage facilities is also considered. Rural farmers, despite constraints, actively engage in these adaptive practices. The study assesses the effectiveness of initiatives to enhance crop production and build resilience against climate variability. Discussion centers on the comprehensiveness of these adaptive techniques within the broader framework of sustainable development goals, focusing on goals 1 (No Poverty) and 2 (Zero Hunger). The findings contribute to understanding and promoting resilience among vulnerable households facing climate-related challenges.

Impact of specialized agricultural services on climate-smart agricultural practices: Evidence from biopesticide application in Jiangsu Province, China

Global climate change is aggravating the occurrence of pests and diseases, however, pesticide residue caused by the abuse of chemical pesticides is emerging as a worldwide issue with a great threat to the ecological environment, human health, and food security. Biopesticide application, a component of climate-smart agricultural practices, is viewed as a vital alternative for agricultural sustainable development. Due to the additional cost attached to externalities and information insufficiency, the adoption rates of biopesticide are still quite low in most developing countries. By using panel data of 3143 rural households from 2020 to 2021 in Jiangsu Province, this paper builds a theoretical framework of whether and how specialized agricultural service (SAS) for specialized pest control affects farmers' biopesticide application, and then employs an Endogenous Switching Probit model to verify this effect and its channels empirically. The empirical results show that the SAS purchase can increase significantly the probability of smallholders' biopesticide adoption by 30.8%. Without consideration of the self-selection bias, this probability would drop to 16.2%. The potential channels of the SAS influencing farmers' biopesticide application are technology popularization (training) and machinery substitution resulting from SAS. Moreover, our findings also indicate that the effects of SAS on biopesticide adoption are heterogeneous, and vary with farmers' education level, cooperative members, and land size. This paper provides the first empirical evidence for the effect of SAS on biopesticide promotion, which is expected to contribute to agricultural sustainable development and food safety in most developing countries.

Using participatory videos in understanding farmers experiences with climate smart agricultural practices: reflections from Ghana

Climate-smart agriculture (CSA) has gained traction as one of the effective strategies in tackling the climate crisis. Many CSA practices have been promoted by development agencies to smallholder farmers based on the assumption that farmers would adopt these innovations for their potential benefits. However, the adoption of CSA practices in Ghana and much of Africa remains low and decision making and on-farm innovation processes are poorly understood. This study seeks to provide empirical and participatory insight into how smallholder farmers innovate. Based on a novel application of a participatory video methodology, in farming communities in the Upper West Region of Ghana, that have been exposed to multiple CSA intervention programmes, the paper analyses farmers’ own self-curated accounts of experiences with CSA innovation. The findings show that farmer’s motivation to adopt CSA innovations is driven by their concerns for food security, economic gains, and the environmental impact of climate change on their farming activities and livelihood. The study reveals a mismatch between the CSA technologies and practices advanced by the development agencies and what farmers perceive as relevant and important in addressing their farming challenges. In particular, the findings show that in a pool of more than 12 CSA technologies and practices that had been promoted through three donor-driven intervention programmes in the communities, farmers selected less labour intensive, less costly, and CSA technologies and practices that fitted to their current farming practices and the local context. Agricultural extension agents served as an important information source on the CSA innovation and their practical implementation and farmers’ social groups played a crucial role in facilitating learning about the CSA technologies and practices. There is the need to integrate farmers voices using innovative methodologies such as participatory videos to better understand farmers’ experiences in the innovation process which will help inform the design of effective interventions and promote adoption of innovations aimed at enhancing the productivity of smallholder farmers and reducing environmental impacts in African food systems. By focusing on the innovations that farmers perceive as beneficial and adaptable to their local contexts, development organizations can use their resources more efficiently and promote adoption of contextually appropriate CSA innovations.

Climate Smart Agriculture and its Implication on Climate Change Adaptation Measures within Smallholder Farming Systems in Gatundu South, Kenya

The impacts of climate change and the need for implementing adaptation and mitigation measures continues to dominate global environmental dialogue, with the Africa Climate Summit 2023 and Conference of Parties 28 being the most recent in this series. A hitherto marginalised aspect is the level of adoption of climate-smart agriculture practices in smallholder production systems. This study explored this dimension using Gatundu South as a case study. Rainfall data was obtained from the Climate Hazards Group Infrared Precipitation with Station data. Socio-economic data targeting 384 respondents was collected using questionnaires. Standard procedures were used to analyse these data. Results showed that farmers are generally aware of climatic variability especially as evidenced by changes in rainfall patterns. Farmers adapt and attempt to mitigate effects of climate change and variability by using practices that deliver direct economic benefits and not necessarily the climate-smartness of the practices. Farmers did not associate their adaptation measures with the need to reduce emission of greenhouse gasses. To smallholder farmers, direct economic benefits are the primary incentives for the adoption of climate-smart practices. Further, the link between climate change and the invisible greenhouse gases is a knowledge gap among smallholder farmers. Therefore, adoption of climate smart agriculture practices can be enhanced if the narrative shifts to emphasise the negative contribution of greenhouse gases to farmers’ health and the concomitant medical costs, through their role in exacerbating air pollution

Climate Smart Agriculture in Kenya's ASALS: Gaps and Barriers in Policy Development and Implementation

This paper presents an evaluation of the gaps and barriers in policy development and implementation with regard to Climate Change in Kenya's arid and semi-arid lands (ASALS). In spite of concerted efforts and considerable attention accorded to the climate change effects in the region, there is little improvement. Through a desktop review of previous studies and policy documents, this paper examines the mitigation measures proposed and interrogates the practicality of these measures as well as the gaps and challenges in formulation and implementation. The ASALS are the most hit by climate change, and they make up 89% of the country's landmass and are home to approximately 20 million people, which translates to 38% of the Kenyan population. The region is also home to 60% of the country's livestock, and the considerable contribution of livestock to global warming is justification enough to focus on Climate Smart Agriculture in the ASALS. The region is predominantly rural, and for their livelihoods, the farmers rely on rain, which has become unreliable due to climate, hence the persistent food insecurity. Policies have been formulated to address mitigation, adaptation, and food security with outcomes such as improving yields, growing net returns, lessening the emission of Green House Gases, boosting input use and efficiency, enhancing resilience, and improving gender and social inclusion. Understanding the constraints in the implementation of Climate Smart Agriculture (CSA) practices would be useful in improving policy formulation and intervention planning. The findings of this study reveal gaps and barriers in the formulation and implementation of CSA policies stemming from lack of awareness, which is responsible for the low adaptability levels, nature of land ownership in the ASALS, cultural factors, poor coordination between stakeholders and inadequate funding for CSA projects

Behavioural factors matter for the adoption of climate-smart agriculture

Increasing agricultural productivity while ensuring environmental sustainability are two important targets in achieving the sustainable development goals under climatic shocks. In this regard, different climate-smart agricultural (CSA) practices have been recommended and promoted to meet these goals and targets. However, the adoption of these practices remains low and variable. For the most part, low adoption has been attributed to external factors. Behavioural and psychological factors also matter but have received little empirical and policy attention. In this study, we examine the relationship between aspirations, aspiration gaps, and the adoption of CSA practices such as crop rotation, intercropping, fallowing, and organic soil amendments. Employing parametric and non-parametric estimation techniques on a pooled farm household survey from Cameroon and Kenya, we show that aspirations are associated with the use of crop rotation and organic soil amendments. We also investigate the theorized non-monotonic inverse U-shaped relationship between aspiration gaps and investments. We find evidence of this relationship for the adoption of these CSA practices, suggesting an aspiration failure for smallholder farmers. These results imply that aspirations that are ahead but not too far ahead of the current state serve as the best incentives for stimulating the adoption of CSA practices. Employing the multivariate probit model, we further highlight interdependencies in the use of these CSA practices. Specifically, we underscore significant complementarities, suggesting the bundled use of these practices. Overall, the analysis demonstrates that aspirations matter for farmer decision-making with many implications for agricultural, food, and environmental policies.

Small-scale Farmers’ Adoptions of Climate-smart Agricultural Practices in the Guinean Savanna’s Agroecological Zones

Purpose: Guinean Savanna is the largest agro-productive area in Guinea and the most vulnerable to climate-induced hazards that challenge farming practices and cause crop failures. Subsequently, small-scale farmers have recently lent themselves to climate-smart agricultural practices (CSAPs) as alternatives to maintain food security. Developing such practices has led this study to identify farmers’ know-how of CSAPs and factors motivating these practices. Research Method: Methods including household surveys, focus group discussions, key informant interviews and field observations were used to collect data from a purposive random sample of 1,500 small-scale farmers in nine agroecological zones susceptible to drought and flood. Multivariate probit model was used to determine factors influencing small-scale farmers’ adoption of CSAPs. Findings: Results show that adoptions of CSAPs were influenced by farmers’ socio-economic characteristics including access to income sources from non-farm activities, holding of livestock and/or a plantation, perceived impacts of climate change, and membership to a farm-based organisation. Other factors such as farming experience, educational level, gender and age were also motivating farmers to adopt CSAPs. On the contrary, household size was not significant in adopting CSAPs in the Guinean Savanna. Limitation: This study only covers 9 of the 17 agroecological zones that make up the Guinea Savanna.Originality/Value: Being the first study that showed an interest in CSAPs in the study area, it provides information that could enhance food security and communities’ resilience.

Analysis of the effect of climate-smart agricultural practices (CSAPs) on food security of maize production in Southeast, Nigeria

This study examines the effect of Climate-Smart Agricultural Practices (CSAPs) on the food security dimensions of availability, accessibility, affordability, stability, and usability of maize production in Southeast Nigeria. A multi-stage random sampling method was adopted to select 375 farmers. Censored and OLS regression analyses were conducted using R software to analyze the data. Results indicate that certain CSAPs significantly influence the availability and accessibility dimensions of food security. Water management, residue management, mulching, crop rotation, adopting early planting, and obtaining credit were associated with higher levels of availability and accessibility, while practices like minimum tillage and improving access to information were associated with lower levels. Practices such as water management, minimum tillage, and adopting early planting positively influence affordability and stability. Furthermore, the study explores the influence of constraints on the practice of CSA in Southeast Nigeria. Farmers’ illiteracy (50.6)***, high production costs (4.00)***, lack of equipment and inputs, limited awareness of CSA practices (5.24)***, and resistance to change (13.70)*** were identified as key constraints. However, the study recommends that promoting awareness and incentivizing sustainable agricultural practices can encourage farmers to overcome resistance to change and embrace CSA initiatives, thus enhancing food security and economic development in Southeast Nigeria.

Impacts of selected Climate Smart Agricultural Practices on African Indigenous Vegetables in Kenyan drylands

Climate change has had significant impacts on the cultivation of African Indigenous Vegetables (AIVs) resulting in insufficient yields and food insecurity. African indigenous vegetables are important food crops used in combating malnutrition and food insecurity. The AIVs have the potential to provide nutrition and sustain smallholder farmers’ livelihoods. However, little is known about the impacts of Climate-Smart Agriculture Practices (CSAPs) on the yield levels in AIVs. This study was therefore conducted to evaluate the impacts of selected CSAPs on the yield levels in cowpeas (Vigna unguiculata. L) and black nightshade (Solanum nigrum. L) in Kenyan drylands. Six treatments consisting of organic manure, commercial organic fertilizers, irrigation, mulching, inorganic fertilizers and controls were used. Research plots measuring 3m by 3m were set out in a randomized complete block design and sowed with certified cowpeas seeds and well-established black nightshade seedlings. Treatments were applied at land preparation and at 7 days after crop germination. Data was collected on plant height at vegetative stage and the overall primary yield at crop maturity. Analysis of variance (ANOVA) was conducted on the quantitative data collected and analyzed using Genstat software. Post hoc analysis was carried out for significant means using Tukey’s Honest Significant Difference (HSD) test at p≤0.05. The results revealed significant differences in both the plant height and primary yield across all treatments (p≤0.05). The AIV yield levels were significantly influenced by the CSAPs products used. Plots treated with organic manure, mulching and commercial organic fertilizers had significantly higher yields. Control plots had the least amount of yields. Key words: ANOVA, Climate change, food security, malnutrition and soil degradation.

A Stochastic Frontier Analysis of Maize Production Efficiency and Its Climate-Smart Agricultural Practice Determinants in Southeast, Nigeria

Efficient maize production and resource allocation are crucial for agricultural sustainability, particularly in climate-vulnerable areas like Southeast Nigeria. This study employs stochastic frontier analysis (SFA) to investigate the efficiency of maize production and the determinants of allocative efficiency under climate-smart agricultural practices (CSAPs). The study includes 375 maize farmers selected randomly for the research sample. The analysis begins with estimating the efficiency parameter of maize production, revealing a relatively low Sigma-square value (0.029) and a moderate Gamma value (0.786). The study found a positive association between various inputs such as landholding, seed quality, and organic manure application. The mean TE and AE are 0.894 and 0.747 respectively. Allocative efficiency analysis reveals that while water management practices significantly affect technical efficiency positively, they unexpectedly lead to lower AE. Access to information and adoption of early planting positively influence allocative efficiency. Further examination of socioeconomic determinants indicates the role of extension services (3.07)*** in enhancing AE, while cooperative membership negatively impacts it, possibly due to information asymmetry. These findings emphasize the need for tailored interventions to optimize resource allocation strategies and enhance agricultural productivity and sustainability in Southeast Nigeria, particularly amidst the challenges posed by climate change. Comprehending the complex dynamics of resource allocation and efficiency in agriculture is crucial for crafting efficient policies and interventions aimed at improving productivity and resilience amidst changing climate conditions.

Economic benefits of climate-smart agricultural practices: empirical investigations and policy implications

Adopting climate-smart agricultural practices (CAPs) has the potential to mitigate the adverse effects of climate change and directly influence the well-being of households. Therefore, this research investigates the impact of CAP adoption intensity on household income, net farm income, and income diversity, using the 2020 China Rural Revitalization Survey data. We utilize the approach of two-stage residual inclusion (2SRI) to mitigate the endogeneity of CAP adoption intensity. The results show that CAP adoption intensity positively and significantly affects household income, net farm income, and income diversity. Heterogeneous analysis indicates that the impacts of CAP adoption intensity on household income increase across the selected quantiles, but the impacts on net farm income decrease across the same. In addition, CAP adoption intensity significantly improves income diversity only at the 20th quantile. Our findings suggest that enhancing farmers’ CAP adoption intensity improves rural household welfare.