The impact of climate change coping and adaptation strategies on livestock farmers’ technical efficiency: the case of rural Ghana

Twumasi, Martinson Ankrah; Jiang, Yuansheng

doi:10.1007/s11356-020-11525-1

Cited by 23 publications

(10 citation statements)

References 49 publications

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“…Few studies employed a direct quantitative assessment of the resilience levels of agriculturalists including crop farmers and livestock-dependent populations in sub-Saharan Africa. Previous studies either target vulnerabilities or adaptive strategies of farmers to climate-induced adversities [25,[66][67][68][69][70]. Our study provides an approach to directly assess the resilience levels of farmers, especially vulnerable livestock-dependent populations.…”

Section: Discussionmentioning

confidence: 99%

Coping with Adversity: Resilience Dynamics of Livestock Farmers in Two Agroecological Zones of Ghana

Nuvey

Addo-Lartey

Nortey

et al. 2021

IJERPH

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Despite the increasing occurrence of adverse events including droughts and conflicts, livestock farmers in Ghana continue to raise animals to support their livelihoods and the national economy. We assessed the resilience of cattle farmers (CF) to adverse events they faced using a cross-sectional survey of 287 CF in two agroecological zones in Ghana. Resilience to adversities was assessed using the Resilience Scale (RS-14). Resilience scores and categories were computed and factors that explained variations in resilience categories assessed. The farmers kept, on average, 31 cattle per household, with a majority (91%) also growing crops. Key adverse events confronting them in both districts were animal disease outbreaks, pasture shortages, and theft, with 85% (240/287) losing, on average, seven cattle (15% of the herd size) over a one-year period. The mean resilience score was 71 (SD = 8) out of 98; 52% were highly resilient. Resilience was higher in the southern district (72 versus 70), albeit not statistically significant (p = 0.06). The resilience significantly improved with age, each unit increase in cattle in the herd, and having experience raising livestock (p < 0.001). The CF have relatively high resilience to adverse events affecting their productivity. The findings provide relevant information for implementing mitigation measures to improve production by reducing animal mortalities through high-quality veterinary services.

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Section: Discussionmentioning

confidence: 99%

Coping with Adversity: Resilience Dynamics of Livestock Farmers in Two Agroecological Zones of Ghana

Nuvey

Addo-Lartey

Nortey

et al. 2021

IJERPH

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“…Additionally, other studies addressed the bias issue by combining sample selectivity bias-corrected SPF and endogenous switching regression (Aravindakshan et al, 2018;Fu & Zhu, 2023). Some studies (Mwalupaso et al, 2019;Mzyece & Ng'ombe, 2020;Ankrah Twumasi & Jiang, 2021;Olagunju et al, 2021;Zhu et al, 2021) have employed TE by comparing two groups in order to adjust the efficiency of adopting the technology. Comparing the TE between two groups of farmers is a crucial matter that frequently arises in these studies (Khanal et al, 2021).…”

Section: Background and Purposementioning

confidence: 99%

Impact of Microdosing Practices on Technical Efficiency: An Analysis Accounting for Selection Bias Among Smallholder Maize Farmers in Burkina Faso

Sawadogo,

Matsumura,

Esham

et al. 2024

JAS

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Smallholder maize farmers are currently confronted with the arduous challenge of managing limited financial resources while incessantly facing the issue of land degradation. To address this issue, an alternative solution has been implemented to optimize the use of chemical fertilizer by adopting microdosing. This innovative system not only helps them enhance their agricultural productivity but also allows them to protect the environment. However, it is unclear how microdosing adoption could increase the technical efficiency (TE) of maize production. Therefore, this research aims to assess how the adoption of microdosing affects the technical efficiency of maize production as well as identify the key factors that influence the technical efficiency of maize production in Burkina Faso. To achieve this goal, farm household survey data was conducted with 210 randomly selected farmers from the Plateau Central and northern regions of Burkina Faso. To account for potential selection biases that could result from both observable and unobservable factors, we used a sample selection stochastic production frontier model and a propensity score matching approach. A stochastic meta-frontier approach was applied to estimate TE differences and the technology gap between adopters and non-adopters. The findings showed that adopters of microdosing have an average efficiency of 68 percent, which is higher than the 53 percent estimated for non-adopters. Adopters of microdosing have been found to have high TE and better agricultural technology than non-adopters. The meta-frontier estimation revealed that the adoption of improved maize varieties would yield better returns. This study contributes significantly to the literature on how fertilizer microdosing affects maize productivity, as well as the policy implications of targeting and encouraging smallholder maize farmers in Burkina Faso to optimize the use of productive inputs and improve maize output by using microdosing.

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“…Notwithstanding these efforts, scientific evidence suggests that the productive performance of beef cattle farms in developing countries (e.g., Botswana, Ghana, Kenya, and Zambia) is declining, with negative consequences on income and gross domestic products (Temoso et al, 2015b(Temoso et al, , 2018Manyeki, 2020;Ankrah and Jiang, 2021;Odubote, 2022). For example, in Botswana, over the previous years, both off-take and birth rates remained below 10% except in 2013 and 2014, when the birth rate rose to 12.9 and 12.4%, respectively (Statistics Botswana, 2019).…”

Section: Introductionmentioning

confidence: 99%

Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis

Bahta

Temoso

Ng’ombe

et al. 2023

Front. Sustain. Food Syst.

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IntroductionEfficiency in food production is crucial for sustainable agriculture in developing countries. This paper contributes to the existing literature by presenting an innovative approach to modeling productive efficiency in beef cattle production. Treating farm performance across regions as unobserved heterogeneity, we determine technical efficiency of beef cattle production in Botswana. We aim to shed light on the factors influencing efficiency in this sector.MethodsThe study utilized block-level data from various annual agricultural surveys (2006–2014) covering 26 agricultural districts and six agro-ecological regions in Botswana. We employed a latent class stochastic frontier model complemented with the stochastic meta-frontier analysis.ResultsResults show that the best performing farming systems in terms of efficiency are districts with well-developed infrastructure and better access to output and input markets. In contrast, the farming systems that perform poorly consist of agricultural districts without access to livestock advisory centers, with higher average temperatures and foot and mouth disease, limiting access to export markets. The mean technical efficiency scores for beef production for agricultural districts in class one and two were 62 and 59%, respectively, implying high potential to improve beef production using the same level of agricultural inputs through efficiency-enhancing investments.DiscussionBased on our results, it is crucial for agricultural policies to prioritize regionally specific investments that address the needs of the under-performing districts. By targeting the lagging districts, policymakers can help beef producers improve their input efficiency and bridge the technological gaps to the meta-frontier. This can be achieved through investments in infrastructure, access to livestock advisory services, and disease control measures. Such efforts will not only enhance the efficiency of beef production but also contribute to the overall sustainability of the agricultural sector in Botswana.

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The impact of climate change coping and adaptation strategies on livestock farmers’ technical efficiency: the case of rural Ghana

Cited by 23 publications

References 49 publications

Coping with Adversity: Resilience Dynamics of Livestock Farmers in Two Agroecological Zones of Ghana

Coping with Adversity: Resilience Dynamics of Livestock Farmers in Two Agroecological Zones of Ghana

Impact of Microdosing Practices on Technical Efficiency: An Analysis Accounting for Selection Bias Among Smallholder Maize Farmers in Burkina Faso

Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis

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