Environmental and Sustainability Indicators, Год журнала: 2024, Номер 24, С. 100527 - 100527
Опубликована: Ноя. 5, 2024
Язык: Английский
Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(2)
Опубликована: Фев. 1, 2024
Abstract This study investigates the factors affecting maize farmers’ decisions to adopt climate-smart agricultural (CSA) technologies and estimates impacts of CSA technology adoption on yields net farm income. Unlike most previous studies that analyze a single technology, we consider different combinations three (zero tillage, row planting, drought-resistant seed). A multinomial endogenous switching regression model addresses selection bias issues arising from observed unobserved analyses data collected 3197 smallholder farmers in Ghana regions (Brong-Ahafo, Northern, Ashanti). The findings show multiple are influenced by farmer-based organization membership, education, resource constraints such as lack land, access markets, production shocks perceived pest disease stress drought. We also find adopting all together has largest impact yields, while planting zero tillage combination Governments should collaborate with groups extension officers improve awareness understanding benefits associated help them generate higher benefits.
Язык: Английский
Процитировано
20
Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(5)
Опубликована: Апрель 8, 2024
Climate-induced increase in temperature and rainfall variability severely threaten the agricultural sector food security Indian state of Odisha. Climate-smart (CSA) practices, such as crop rotation integrated soil management, help farmers adapt to climate risk contribute a reduction greenhouse gas (GHG) emissions. Therefore, this paper examines impact CSA practices on yield income vulnerable semi-arid districts Odisha—Balangir, Kendrapara, Mayurbhanj. We use primary survey data from 494 households collected 2019–2020, using multi-stage stratified sampling approach structured questionnaire. Propensity score matching (PSM) two-stage least square method (2SLS) have been used analyze productivity. Two instrument variables, namely distance extension office percentage adopters village, are control self-selection bias endogeneity our model. Both models show positive significant adoption farmers' productivity income. The study sheds light contribution fostering sustainable growth amid environmental challenges. Overall, results suggest that small marginal Eastern India, highly environmentally area, can significantly improve their by adopting technology. Hence, policymakers should scale technology through effective programs.
Язык: Английский
Процитировано
11
Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(3)
Опубликована: Март 1, 2024
Abstract Although policy and advisory communities have promoted the use of digital services (DAS) to stimulate technology adoption among smallholder farmers, little is known about whether DAS encourages farmers adopt climate-smart agricultural (CSA) technologies. This study addresses gap by estimating data collected from 3197 maize-producing households in rural Ghana considering three CSA technologies: row planting, zero tillage, drought-tolerant seeds. A recursive bivariate probit model utilized mitigate selection bias issues. The results show that significantly increases probabilities adopting seeds 12.4%, 4.2%, 4.6%, respectively. Maize farmers’ decisions are influenced their age, gender, education, family size, asset value, distance farm, perceived incidence pest disease, drought stress, membership farmer-based organizations (FBO). Furthermore, disaggregated analysis reveals has a larger impact on planting female than males.
Язык: Английский
Процитировано
10
Cogent Food & Agriculture, Год журнала: 2025, Номер 11(1)
Опубликована: Янв. 20, 2025
Global food security is seriously threatened by climate change, which calls for creative agricultural solutions. However, little known about how different smart technologies are integrated to enhance security. As a strategic reaction these difficulties, this review investigates the incorporation of remote sensing (RS) as well artificial intelligence (AI) into climate-smart agriculture (CSA). This demonstrates advances can improve resilience, productivity, and sustainability utilizing AI's capacity predictive analytics, crop modelling, precision agriculture, along with RS's strengths in projections, land management, continuous surveillance. Several important tactics were covered, such combining AI RS regulate risks, maximize resource utilization, practice choices. The also discusses issues like policy frameworks, building, accessibility that prevent from being widely adopted. highlights further CSA offers insights they help ensure systems remain secure changing climates.
Язык: Английский
Процитировано
2
PLOS Climate, Год журнала: 2025, Номер 4(1), С. e0000551 - e0000551
Опубликована: Янв. 10, 2025
Climate-smart agriculture (CSA) addresses food security issues under climate change. The research examined the effect of adopting CSA practices on and nutrition by small-scale urban crop (SSUC) farmers in eThekwini (ETH) Municipalityusing purposive sampling from 412 SSUC farmers. Results suggest that socio-demographic institutional factors influence household consumption patterns dietary status probit selection model show farmer’s age, education, size, off-farm income, monthly expenditure food, agricultural training, group membership, credit access significantly influenced adoption decisions. endogenous switching regression using marginal treatment effects shows farm hired labour distance to farming site affected patterns. Gender, marital status, employment number part-time labourers households diversity findings confirm heterogeneity practices. Unobserved benefits are prevalent through a positive depicted Household Food Consumption Score (HFCS) Dietary Diversity (HDDS). Adopting enhanced SSCU farmers, shown average (ATT) when adopt correlated positively with adopters being 16 31 percent more secure concerning HFCS HDDS, respectively. Hence, ETH Municipality were likely better off regarding diversity. In light this, nexus between researchers, extension services must consider suitable sets relevant scale chosen directed toward welfare localised contexts.
Язык: Английский
Процитировано
1
Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(2)
Опубликована: Фев. 1, 2024
Язык: Английский
Процитировано
5
Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(2)
Опубликована: Фев. 1, 2024
Abstract International civil society and non-government organisations (NGOs) play a role in implementing agricultural projects, which contribute to the mitigation, adaptation, food security dimensions of climate-smart agriculture (CSA). Despite growth CSA, it remains unclear how CSA is designed, conceptualised, embedded into development projects led implemented by NGOs, creating lack clarity as direction future interventions. This paper examines extent programmes from NGO sector actively incorporate principles benefit smallholder farmers under major pillars CSA. Drawing six projects’ documentation since 2009, we conducted thematic analysis reveal alignment with discuss allows for localised adaptability given diverse contexts NGOs work. We find that despite definition focus, practices make heterogenous contributions adoption principles. illustrate diversity ways ‘done’ global across areas: greening forests, knowledge exchange, markets, policy institutions, nutrition, carbon climate, gender. need balance contextual three explicit consideration trade-offs reduce unintended outcomes initiatives. conclude reflections on boundary agents sector.
Язык: Английский
Процитировано
4
Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(3)
Опубликована: Март 1, 2024
Abstract Climate change threatens the livelihoods of Sub-Saharan African farmers through increased droughts. Livestock donation programs offer a potential solution, but their effectiveness under climate stress remains unclear. This study assesses economic viability integrating climate-smart technologies (cowsheds and biogas plants) into these in Rwanda. Using stochastic benefit–cost analysis from beneficiary perspective, we evaluate net gains for households receiving heifers compared to current program. Our findings reveal that significantly enhances viability. Households with cows can possibly realise benefits 3.5 times higher than program, ratios reaching 5:1. Beyond benefits, adopting reduces deforestation, greenhouse gas emissions, respiratory illness risks. demonstrates livestock generate positive economic, environmental, health leading more resilient sustainable smallholder systems. However, overcoming implementation challenges requires tailored policy packages addressing local barriers.
Язык: Английский
Процитировано
4
Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(4)
Опубликована: Март 26, 2024
Язык: Английский
Процитировано
4
Mitigation and Adaptation Strategies for Global Change, Год журнала: 2024, Номер 29(5)
Опубликована: Апрель 3, 2024
Язык: Английский
Процитировано
4