The impact of agricultural technology adoption on income inequality: a propensity score matching analysis for rural Ethiopia

Shita, Aynalem; Kumar, Nand; Singh, Seema

doi:10.1504/ijids.2020.105013

Cited by 12 publications

(6 citation statements)

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“…This implied that the adoption of CA requires more labor force. This finding in line with [31,38] and [39].…”

Section: Family Sizesupporting

confidence: 83%

“…There is also literature that focuses on the impacts of single technologies on households' poverty and income [36,37]. However, these studies used OLS and logit-based PSMs [37,38,39] for impact evaluation models that are criticized for selection bias, endogeneity, and heterogeneity problems. To reduce the problems of selection bias and endogeneity, a multinomial endogenous switching model was implemented in this study.…”

Section: Introductionmentioning

confidence: 99%

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Poverty and Resilience impacts of conservation agriculture adoption against Climatic-Shocks in Eastern Ethiopia

Mume,

Haji,

Jaleta

et al. 2024

Preprint

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The aims of this study is to analysis adoption and impacts of conservation agriculture on poverty and resilience to drought in Eastern Ethiopia. Multi-stage sampling method was employed and four districts were randomly selected from Eastern Hararghe Zone. Using cross-sectional survey data collected in 2023 from 430 households, multinomial endogenous switching regression was applied in impact evaluation. The result shows farm experience, education, climatic-socks experience, access to climate information, access to extension, number of oxen, farm size, labor force, livestock and distance to market are determinants of CA adoption in terms of inter-cropping, crop rotation and crop residue retention or mulch practices in its single and combination of practices. Poverty was evaluated based on cost-of-basic-need and resilience to drought is in its index. Results of average treatment effect on treated shows adoption is significantly reduced poverty and increased drought resilience index in the area. The study shows importance role of extension service in adoption of CA practices. Policy implication for these results is that there is a need to encourage extension facilities and awareness to promote better adoption of CA particularly, in its combination. Because, combination of practices increased consumption adopters by 73.3 percent compared to non-adopters, given its significant impact on households’ poverty and resilience to drought in moisture stress area of eastern Ethiopia.

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“…This implied that the adoption of CA requires more labor force. This finding in line with [31,38] and [39].…”

Section: Family Sizesupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Poverty and Resilience impacts of conservation agriculture adoption against Climatic-Shocks in Eastern Ethiopia

Mume,

Haji,

Jaleta

et al. 2024

Preprint

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“…Fertilizer consumption is found to boost agricultural productivity since it is expected to enhance natural soil nutrients, as confirmed in the literature by Azhar (1991), Nastis et al . (2012) and Shita et al. (2020).…”

Section: Empirical Results and Discussionmentioning

confidence: 98%

“…Fertilizer is believed to boost agricultural productivity by enhancing natural soil nutrients (Azhar, 1991; Nastis et al ., 2012; Shita et al. , 2020).…”

Section: Empirical Model Data and Econometric Methodologymentioning

confidence: 99%

“…Although being considered as one of the most important natural resources, arable land has inconclusive impacts on agricultural productivity. On the one hand, farmers with larger farm size are more productive than those with smaller one, because they can adopt agricultural technologies to a higher level and greater scale (Barker and Herdt, 1978; Rahman and Salim, 2013; Chandio et al ., 2016; Shita et al. , 2020).…”

Section: Empirical Model Data and Econometric Methodologymentioning

confidence: 99%

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Climate change and agricultural productivity in Asian and Pacific countries: how does research and development matter?

Huynh

2023

JES

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PurposeThis study empirically examines the impact of climate change and agricultural research and development (R&D) as well as their interaction on agricultural productivity in 12 selected Asian and Pacific countries over the period of 1990–2018.Design/methodology/approachVarious estimation methods for panel data, including Fixed Effects (FE), the Feasible Generalized Least Squares (FGLS) and two-step System Generalized Method of Moments (SGMM) were used.FindingsResults show that both proxies of climate change – temperature and precipitation – have negative impacts on agricultural productivity. Notably, agricultural R&D investments not only increase agricultural productivity but also mitigate the detrimental impact of climate change proxied by temperature on agricultural productivity. Interestingly, climate change proxied by precipitation initially reduces agricultural productivity until a threshold of agricultural R&D beyond which precipitation increases agricultural productivity.Practical implicationsThe findings imply useful policies to boost agricultural productivity by using R&D in the context of rising climate change in the vulnerable continent.Originality/valueThis study contributes to the literature in two ways. First, this study examines how climate change affects agricultural productivity in Asian and Pacific countries – those are most vulnerable to climate change. Second, this study assesses the role of R&D in improving agricultural productivity as well as its moderating effect in reducing the harmful impact of climate change on agricultural productivity.

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The ex‐post impact of agricultural technology adoption on poverty: Evidence from north Shewa zone of Amhara region, Ethiopia

Belay

Neway

2021

Int. J Fin Econ

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This study investigates the impact of agricultural technology adoption on poverty reduction in north Shewa zone of Amhara region of Ethiopia in 2020. Using the selection model, this study finds that farm household's decision to adopt agricultural technologies are mainly influenced by sex of the household head, credit access, saving, extension visit, farm cooperatives and distance from market. Using an endogenous switching regression model, this study finds that adopters of agricultural technologies have higher food consumption expenditure per adult. Moreover, the significant difference in food consumption expenditure per adult equivalent between the actual and counterfactual scenario is very high. The result of the study confirmed that adoption of agricultural technology has a direct and significant impact on increasing household's consumption expenditure while also reducing household poverty. The findings of the study suggest that increasing the access and adoptions of agricultural technologies significantly improves the welfare of farm households.

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The impact of agricultural technology adoption on income inequality: a propensity score matching analysis for rural Ethiopia

Cited by 12 publications

References 0 publications

Poverty and Resilience impacts of conservation agriculture adoption against Climatic-Shocks in Eastern Ethiopia

Poverty and Resilience impacts of conservation agriculture adoption against Climatic-Shocks in Eastern Ethiopia

Climate change and agricultural productivity in Asian and Pacific countries: how does research and development matter?

The ex‐post impact of agricultural technology adoption on poverty: Evidence from north Shewa zone of Amhara region, Ethiopia

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