Farmers’ adoption of multiple climate-smart agricultural technologies in Ghana: determinants and impacts on maize yields and net farm income

Mitigation and Adaptation Strategies for Global Change, Journal Year: 2024, Volume and Issue: 29(2)

Published: Feb. 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.

Language: Английский

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Promoting the adoption of climate-smart agricultural technologies among maize farmers in Ghana: using digital advisory services

Mitigation and Adaptation Strategies for Global Change, Journal Year: 2024, Volume and Issue: 29(3)

Published: March 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.

Language: Английский

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Enhancing crop yields and farm income through climate-smart agricultural practices in Eastern India

Mitigation and Adaptation Strategies for Global Change, Journal Year: 2024, Volume and Issue: 29(5)

Published: April 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.

Language: Английский

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The effect of heterogeneous adoption of climate-smart agriculture practices on household food and nutrition security of small-scale urban crop farmers in eThekwini Municipality

PLOS Climate, Journal Year: 2025, Volume and Issue: 4(1), P. e0000551 - e0000551

Published: Jan. 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.

Language: Английский

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Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security

Cogent Food & Agriculture, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 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.

Language: Английский

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Developing a composite weighted indicator-based index for monitoring and evaluating climate-smart agriculture in India

Mitigation and Adaptation Strategies for Global Change, Journal Year: 2024, Volume and Issue: 29(2)

Published: Feb. 1, 2024

Language: Английский

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Finding climate smart agriculture in civil-society initiatives

Mitigation and Adaptation Strategies for Global Change, Journal Year: 2024, Volume and Issue: 29(2)

Published: Feb. 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.

Language: Английский

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Climate-Smart Agriculture in South Asia: exploring practices, determinants, and contribution to Sustainable Development Goals

Mitigation and Adaptation Strategies for Global Change, Journal Year: 2024, Volume and Issue: 29(4)

Published: March 26, 2024

Language: Английский

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Drivers and impacts of mobile phone-mediated scaling of agricultural technologies: a meta-analysis

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 8

Published: Jan. 6, 2025

Mobile phone-mediated scaling of agricultural technologies (MPSATs) attracts attention as an effective approach for promoting development and sustainability. Despite the growing interest, a comprehensive understanding drivers MPSAT at farm level evidence base their impacts remains limited. To fill this gap, we conducted systematic literature review meta-analysis 18 relevant empirical studies covering 10,757 farmers across 12 countries. Meta-analyses reveal that farmers’ innovativeness full-time farming increase odds adopting technologies. Age, gender, digital skills, mobile phone device ownership, membership in farmer groups also influence but display heterogeneity. Moderation analysis reveals status countries plays moderating role variables such asset ownership size. Moreover, results show using phones standalone method increases by 2%. In combination with traditional extension methods, figure rises significantly to 17%. Additionally, yields 2%, profits 5%, contributes 3% improvement learning outcomes. This study sheds light on potential multifaceted nature MPSAT, providing insights policymakers practitioners sustainable agriculture through

Language: Английский

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Climate change and urban forests: generational differences in women’s perceptions and willingness to participate in conservation efforts

Frontiers in Forests and Global Change, Journal Year: 2025, Volume and Issue: 7

Published: Jan. 17, 2025

Introduction Climate change represents one of the most pressing challenges confronting contemporary societies. Despite occupying a relatively small proportion Earth’s surface, cities contribute disproportionately to greenhouse gas emissions. Urban forests, as vital form natural infrastructure, play critical role in mitigating adverse impacts climate change. Effective management and conservation these resources necessitate active engagement from diverse stakeholder groups, with women being particularly important demographic. However, generational differences women’s perceptions their willingness participate urban forest have received limited investigation. This study seeks address this gap by comparing participation intentions two groups women: those belonging Generation Z earlier generations. Methods The sample comprised 401 395 other Data for were collected using questionnaire administered through multi-stage cluster sampling method. data encompassed participants’ awareness change, its causes, dual engage management, demographic characteristics such age, educational level, family size, income, highest education family, levels fathers mothers. analysis was conducted both descriptive inferential statistical methods. Results results revealed significant understanding recognizing forests effects, demonstrating conservation. Across all measures, exhibited higher compared older Furthermore, increased issues positively associated greater management. Socio-economic factors also influenced differently between highlighting nuanced effects variables on intentions. Discussion showed althought observed consistently led heightened among These findings underscore importance adopting intergenerational perspectives emphasizing that promotional programs must be tailored account effectively maximize foster widespread efforts.

Language: Английский

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