Welfare impacts of climate-smart agriculture in Ghana: Does row planting and drought-tolerant maize varieties matter?

Martey, Edward; Etwire, Prince Maxwell; Abdoulaye, Tahirou

doi:10.1016/j.landusepol.2020.104622

Cited by 27 publications

(34 citation statements)

References 42 publications

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“…In Ghana, the sector employs about 75% of the rural population of which majority are women (Ghana's Ministry of Food and Agriculture, 2017;MoFA). Despite the importance of the sector, agriculture in Ghana remains underinvested and coupled with several challenges such as poor soil health, climate variability and shocks, inadequate infrastructure and institutional bottlenecks, and land degradation (Issahaku & Abdulai, 2020;Martey, Etwire, & Abdoulaye, 2020). Climate simulation and empirical studies have shown that agricultural production will decline if climate-smart strategies are not employed (see Asfaw et al, 2016;Brown et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Ghana has witnessed several development intervention programmes aimed at promoting climate-smart technologies (Martey et al, 2019). Despite sustained efforts to promote climate-smart technologies, adoption remains low (Martey, Etwire, & Abdoulaye, 2020). At the same time, the downside risks associated with climate change and food insecurity are becoming severe.…”

Section: Introductionmentioning

confidence: 99%

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Farmers’ preferences for climate-smart cowpea varieties: implications for crop breeding programmes

Martey

Etwire

Adogoba

et al. 2021

Climate and Development

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Despite sustained efforts to promote climate-smart technologies in Sub-Saharan Africa (SSA), adoption remains low. At the same time, the downside risks associated with climate change and food insecurity are becoming acute. Improved cowpea varieties are climate-smart and contribute to food and nutrition security. Limited evidence exists, however, regarding how cowpea attributes influence adoption. We use a discrete choice experiment to investigate farmers' preferences and mean willingness to pay (WTP) for cowpea variety attributes. Our results show that farmers' decision to adopt improved cowpea varieties increases in response to the following attributes: higher yields, early maturity, and white seed coat colour. The results indicate that 86% of the sampled farmers prefer climate-smart cowpea. Secondly, while we observe a wide dispersion of WTP among female cowpea farmers relative to male cowpea farmers, participation in cowpea training reduces the dispersion of WTP for both men and women. Moreover, controlling for farmer risk aversion further decreases the dispersion of WTP for all respondents. Our experiment reemphasizes the need for crop breeding programmes to be participatory. Moreover, such programmes would do well to satisfy the demands of different segments of the population based on risk, gender, and geographical characteristics.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Farmers’ preferences for climate-smart cowpea varieties: implications for crop breeding programmes

Martey

Etwire

Adogoba

et al. 2021

Climate and Development

Self Cite

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“…When assessing adoption decisions, the multinomial endogenous treatment effects model allows the modelling of interdependence among different technologies. Compared with the multinomial endogenous switching regression (MESR) method adopted by many researchers (Di Falco & Veronesi, 2013;Martey et al, 2020), the multinomial endogenous treatment effects model is easier to implement and allows the distribution of endogenous treatments (adoption of MATs) and output outcomes (such as yield and income) to be specified using a latent factor structure, thereby distinguishing unobservable and observable choices (Deb & Trivedi, 2006b). The multinomial endogenous treatment effects model improves the estimation effect by reducing the endogenous impact.…”

Section: Methodsmentioning

confidence: 99%

Effects of the Adoption of Technology Combinations Beyond Standardized Systems on the Income of Chinese Tobacco Farmers

Yu¹,

Hua²,

Zhu³

2021

JAS

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Using the microdata for tobacco farmer households in Chongqing, China, this article analyses the determinants of adopting additional multiple agricultural technologies and their impact on income based on implementing a standardized technology system by a tobacco company. In this paper, selection bias from the observed and unobserved heterogeneity was corrected using a multinomial endogenous treatment effects model, and the endogenous properties were eliminated. The empirical results show that the adoption of a variety of additional agricultural technologies was determined by famer’s education level, years of tobacco planting, household size, number of technical training sessions, distance from farmer’s family to the nearest tobacco technology extension station, distance from farmer’s family to the nearest township, proportion of land suitable for machine farming, proportion of leased land. Different from empirical judgment, integrated pest management and balanced fertilization are the most effective additional technology combination strategies for increasing farmers’ income instead of combining all additional comprehensive technologies. The research results suggest that Chongqing Tobacco Company should further strengthen the training of tobacco farmers and guide tobacco farmers to take appropriate pesticide and fertilizer input beyond the standardized technical system, especially for those tobacco farmers far away from the tobacco technology extension station.

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“…practices in the past agricultural season. Access to information on sustainable agricultural practices and extension access is endogenous to the adoption of sustainable agricultural practices (Manda et al, 2016;Martey et al, 2020). In the second stage, the outcomes of the interest equation are specified and linked to the selection equation indicating factors influencing adoption while controlling for the potential endogeneity associated with the adoption of organic fertilizers.…”

Section: Empirical Strategymentioning

confidence: 99%

Welfare Impact of Organic Fertilizer Adoption: Empirical Evidence From Nigeria

Oyetunde-Usman

Ogunpaimo

Olagunju

et al. 2021

Front. Sustain. Food Syst.

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Soil fertility depletion is acknowledged to adversely influence agricultural productivity and welfare status of rural farming households. Studies have shown that organic fertilizer utilization tends to rejuvenate the soil, thereby enhancing its productive capacity. This study seeks to estimate the welfare impact of organic fertilizer adoption among agricultural households using the 2018/2019 Nigeria General Household Survey (GHS). The novelty of this study is in the use of propensity score matching (PSM) and endogenous treatment regression (ETR) to address biases that may arise from both observed and unobserved factors. Results show that the adoption of organic fertilizers positively and significantly impacts the welfare of farmers, particularly when sources of unobserved characteristics of agricultural households are accounted for. The heterogeneity impact results show that female household heads, agricultural households that had access to credit, and farm household residents in the southern region of Nigeria significantly gained more from the adoption of organic fertilizers. In addition, a check for time effect reveals that the adoption of organic fertilizers does not result in an immediate welfare effect; the effect is, however, positive and significant over time. This suggests that adoption does not only improve soil and mitigate against climate impact, but it also has a higher likelihood of providing long-term and sustainable welfare impact for agricultural households. The results point to the need for policies and programs to promote and sustain the adoption of organic fertilizers among agricultural households through addressing existing institutional barriers such as extension and credit facilities.

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Welfare impacts of climate-smart agriculture in Ghana: Does row planting and drought-tolerant maize varieties matter?

Cited by 27 publications

References 42 publications

Farmers’ preferences for climate-smart cowpea varieties: implications for crop breeding programmes

Farmers’ preferences for climate-smart cowpea varieties: implications for crop breeding programmes

Effects of the Adoption of Technology Combinations Beyond Standardized Systems on the Income of Chinese Tobacco Farmers

Welfare Impact of Organic Fertilizer Adoption: Empirical Evidence From Nigeria

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