Impact of mulching technology adoption on output and net return to yam farmers in Osun State, Nigeria

Akinola, A. A.; Sofoluwe, Nurudeen Afolabi

doi:10.1080/03031853.2012.695144

Cited by 7 publications

(6 citation statements)

References 17 publications

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“…The direct effect of farmers' disposable income (PIC) on the progress of agricultural green technology is −0.632, and the indirect effect is 0.508, which reflects that farmers' disposable income (PIC) has a significant negative effect on the progress of local agricultural green technology, while it has a significant positive effect on the progress of agricultural green technology in other places. This result different from the existing literature (Such as Chiputwa et al [99], Anastasios et al [100], and Akinola and Sofoluwe [101]). The study suggests that, when the economic level of a place is high, the surrounding area will be dominated by the local market demand, and there should be innovations in green technology.…”

Section: Discussioncontrasting

confidence: 94%

An Integrated Assessment of Different Types of Environment-Friendly Technological Progress and Their Spatial Spillover Effects in the Chinese Agriculture Sector

et al. 2022

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The progress of environment-friendly technology is an important means and fundamental way to achieve high-quality agricultural development. Based on the panel data of 30 provinces of China from 2000 to 2010, the study used the slack-based models (SBM) to measure the progress of China’s environment-based technology and its different types and discusses its dynamic evolution characteristics over time. First, the study adopted MATLAB software and used a slack-based models (SBM) method to split the environment-friendly technology progress (AGTP) into agricultural emission-reduction environment-friendly technology progress (AEGTP) and the agricultural re-source-saving environment-friendly technology progress (ARGTP). Then, global and local spatial autocorrelation analysis, spatial model testing, and Spatial Durbin Model (SDM) were performed on different types of environment-friendly technology progress using STATA15. Moreover, OpenGeoDa and ArcGIS software was used for visualization. The empirical results showed that: (i) from the perspective of time and space, the AGTP showed a slightly higher level in technological regression trend from 2000 to 2012, and rebounded rapidly from 2012 to 2019. In the spatial dimension, the spatial autocorrelation test results of environment-friendly technology progress at the global Moran I level showed a significant positive correlation; however, the phenomenon of the regional level showed a negative correlation. (ii) From the perspective of the type of heterogeneity, only the spatial distribution has a high degree of chance, and the aggregation area is more concentrated. Various influencing factors have a very significant impact on ACGTP but are less significant on agricultural resource-saving environment-friendly technology progress. However, various influencing factors have a more significant impact on the ACGTP than AEGTP. (iii) From the perspective of the spatial spillover effect, labor level, per capita agricultural gross product, and agricultural internal structure are positively and significantly related to environment-friendly technology progress and its different types. Agricultural price policy, financial support policy, economic environmental regulation, and administrative environmental regulation have significant negative effects on the progress of environment-friendly technology and its different types.

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Section: Discussioncontrasting

confidence: 94%

An Integrated Assessment of Different Types of Environment-Friendly Technological Progress and Their Spatial Spillover Effects in the Chinese Agriculture Sector

et al. 2022

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“…Concerning livestock production and management technologies, [15] in Tanzania and [16] in Rwanda showed the positive causal effects of dairy and sericulture technologies on household income, respectively. Finally, soil fertility management interventions (i.e., mulching) in Nigeria [17] and improved fallow techniques in Zambia [18] were associated with improved farm income of adopters. The abovementioned are some recent examples illustrating the causal relationship between adopting a single agricultural technology and household income.…”

Section: Introductionmentioning

confidence: 94%

Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

et al. 2021

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Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.

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“…This observation implies that the outcomes for adopters and non-adopters might be systematically different (Smith & Todd, 2005). As highlighted in Mapila et al (2012) and Akinola and Sofoluwe (2012), the observed differences between the two groups in the absence of randomization might be mistaken for the impacts of DTM.…”

Section: Empirical Modelmentioning

confidence: 99%

“…ATT has been shown to be a better indicator for measuring the appropriateness of intervention strategies on smaller groups of interest such as smallholder farmers than the population-wide average treatment effects calculated via probit models (Rosenbaum andRubin, 1983, 1985;Heckman, 1995;Rosenbaum, 2002). Numerous studies in the agriculture economics literature have relied on PSM to control for self-selection bias (Faltermeier and Abdulai, 2009;Akinola and Sofoluwe, 2012;Amare et al, 2012;Mapila et al, 2012;Matchaya and Perotin, 2013). In essence, the PSM technique assumes that each farmer belongs to either the group of DTM adopters (treatment) or group on non-DTM adopters (control/comparison group) but not both.…”

Section: Empirical Modelmentioning

confidence: 99%

Impact of drought tolerant maize adoption on maize productivity, sales and consumption in rural Zimbabwe

Makate

Wang

Makate

et al. 2017

Agrekon

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The International Center for Tropical Agriculture (CIAT) believes that open access contributes to its mission of reducing hunger and poverty, and improving human nutrition in the tropics through research aimed at increasing the eco-efficiency of agriculture.CIAT is committed to creating and sharing knowledge and information openly and globally. We do this through collaborative research as well as through the open sharing of our data, tools, and publications. Citation:Makate, Clifton; Wang, Rongchang; Makate, Marshall; Mango, Nelson. 2017. Impact of drought tolerant maize adoption on maize productivity, sales and consumption in rural Zimbabwe. Agrekon 1-15 p.Publisher's DOI: http://dx. ABSTRACTIncreased frequency of droughts (especially mid-season dry spells), higher than normal temperatures and altered patterns of precipitation and intensity are some of the extreme weather events evident in southern Africa. These extreme weather events present a threat to livelihoods and sustainability of agricultural production in the region. However, several climate-smart agricultural technologies (including drought-tolerant maize) believed to offer adaptation to climate variability in maize-based farming systems have been widely adopted. Moreover, empirical work on these technologies is limited. This paper demonstrates how by adopting drought-tolerant maize, a climate-smart agricultural technology impacts on the quantities of maize produced, sold and consumed in Zimbabwe. Using primary data on smallholder farmers collected in 2011 in Zimbabwe's four districts, we employed propensity score matching techniques to construct a suitable comparison group and calculate the average treatment effect on the treated sample. We find that, the adoption of drought-tolerant maize (DTM) in rural Zimbabwe significantly enhances overall maize productivity and consequently the quantities set aside for sale and personal household consumption. Our study therefore suggests that, systematic expansion of climate-smart agricultural technologies such as adoption of drought-tolerant maize can significantly improve maize yields, sales and consumption in rural Zimbabwe. Our empirical results, robust to sensitivity checks, strongly point to the overall importance of DTM adoption in Zimbabwe. The findings from this paper also have very important implications for overall efforts on the promotion of climate-smart agriculture technologies in Africa and other developing countries. ARTICLE HISTORY

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Impact of mulching technology adoption on output and net return to yam farmers in Osun State, Nigeria

Cited by 7 publications

References 17 publications

An Integrated Assessment of Different Types of Environment-Friendly Technological Progress and Their Spatial Spillover Effects in the Chinese Agriculture Sector

An Integrated Assessment of Different Types of Environment-Friendly Technological Progress and Their Spatial Spillover Effects in the Chinese Agriculture Sector

Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

Impact of drought tolerant maize adoption on maize productivity, sales and consumption in rural Zimbabwe

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