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Survey data on factors that constrain the adoption of soil carbon enhancing technologies in Ethiopia.

ABSTRACT: The data described in this paper were collected in two watersheds - Azuga-suba watershed in Angacha woreda (district) of Southern Nations, Nationalities and Peoples (SNNP) region and Yesir watershed of Bure woreda (district) of the Amhara region - in Ethiopia. The data were collected from 379 households with the main objective being to assess the factors constraining the adoption of sustainable land management technologies (SLMT) that enhance soil organic carbon sequestration. The data were collected using a structured questionnaire that was designed in SurveyCTO. The data cleaning and analysis was done using STATA SE version 14. This data can be used by researchers to assess the extent of adoption of SLMTs in Ethiopia by, for example, comparing the North and the South regions of Ethiopia. It can also be used to assess the probability of adoption as well as the benefit and costs of adopting SLMTs in Ethiopia both at farm and plot level.

SUBMITTER: Nguru WM

PROVIDER: S-EPMC7078251 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Survey data on factors that constrain the adoption of soil carbon enhancing technologies in Ethiopia.

Nguru Wilson M WM Ng'ang'a Stanley K SK Gelaw Fekadu F Kanyenji George M GM Girvetz Evan H EH

Scientific data 20200317 1

The data described in this paper were collected in two watersheds - Azuga-suba watershed in Angacha woreda (district) of Southern Nations, Nationalities and Peoples (SNNP) region and Yesir watershed of Bure woreda (district) of the Amhara region - in Ethiopia. The data were collected from 379 households with the main objective being to assess the factors constraining the adoption of sustainable land management technologies (SLMT) that enhance soil organic carbon sequestration. The data were coll ...[more]

PMID: 32184396

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Project description:Declining soil fertility is one of the major causes of food insecurity and high levels of poverty, both of which tend to hamper economic development in sub-Saharan Africa (SSA). To improve soil fertility, the implementation of soil organic carbon (SOC) enhancement technologies has become crucial to slowing land degradation, through increasing SOC, which is the basis of soil fertility. Using data from 381 households from Azuga-Suba and Yesir watersheds in Ethiopia, this study explores the extent of the adoption of technologies that enhance SOC. Soil organic carbon enhancing technologies include the use of manure, fertilizer, and crop residue management. The Probit model was used to assess what constrains the adoption of these technologies. The results indicate that fertilizer is the most adopted technology having over 90% adoption in both watersheds. Manure at 28% and 56% adoption while crop residue management at 37% and 26% adoption in Azuga-Suba and Yesir respectively. Technology adoption is highly constrained by lack of education, access to extension services, and access to credit services. Institutions and local farmer groups influence these constraints through training, provision of information, offering incentives, and credit services. Large plots hinder the use of manure and fertilizer due to the bulky nature of manure and the high costs of fertilizers. Insecurity in land tenure limits the adoption of manure and residue management. Perception of soil erosion and soil fertility tends to constrain the adoption of SOC technologies, as farmers are afraid that all improvements through soil amendment will be diminished through soil erosion. At the same time, farmers do not perceive the importance of SOC enhancing technologies in plots that were fertile. These results imply that strengthening institutions that enhance farmers' knowledge and provide credit as well as strengthening social protection schemes and farmer groups is crucial in promoting the adoption of these technologies.

Project description:BACKGROUND:The benefits from the combination of 4 clinical information systems (CISs)-electronic health records (EHRs), health information exchange (HIE), personal health records (PHRs), and telehealth-in primary care depend on the configuration of their functional capabilities available to clinicians. However, our empirical knowledge of these configurations and their associated performance implications is very limited because they have mostly been studied in isolation. OBJECTIVE:This study aims to pursue 3 objectives: (1) characterize general practitioners (GPs) by uncovering the typical profiles of combinations of 4 major CIS capabilities, (2) identify physician and practice characteristics that predict cluster membership, and (3) assess the variation in the levels of performance associated with each configuration. METHODS:We used data from a survey of GPs conducted throughout the European Union (N=5793). First, 4 factors, that is, EHRs, HIE, PHRs, and Telehealth, were created. Second, a cluster analysis helps uncover clusters of GPs based on the 4 factors. Third, we compared the clusters according to five performance outcomes using an analysis of variance (ANOVA) and a Tamhane T2 post hoc test. Fourth, univariate and multivariate multinomial logistic regressions were used to identify predictors of the clusters. Finally, with a multivariate multinomial logistic regression, among the clusters, we compared performance in terms of the number of patients treated (3 levels) over the last 2 years. RESULTS:We unveiled 3 clusters of GPs with different levels of CIS capability profiles: strong (1956/5793, 37.36%), medium (2764/5793, 47.71%), and weak (524/5793, 9.04%). The logistic regression analysis indicates that physicians (younger, female, and less experienced) and practice (solo) characteristics are significantly associated with a weak profile. The ANOVAs revealed a strong cluster associated with significantly high practice performance outcomes in terms of the quality of care, efficiency, productivity, and improvement of working processes, and two noncomprehensive medium and weak profiles associated with medium (equifinal) practice performance outcomes. The logistic regression analysis also revealed that physicians in the weak profile are associated with a decrease in the number of patients treated over the last 2 years. CONCLUSIONS:Different CIS capability profiles may lead to similar equifinal performance outcomes. This underlines the importance of looking beyond the adoption of 1 CIS capability versus a cluster of capabilities when studying CISs. GPs in the strong cluster exhibit a comprehensive CIS capability profile and outperform the other two clusters with noncomprehensive profiles, leading to significantly high performance in terms of the quality of care provided to patients, efficiency of the practice, productivity of the practice, and improvement of working processes. Our findings indicate that medical practices should develop high capabilities in all 4 CISs if they have to maximize their performance outcomes because efforts to develop high capabilities selectively may only be in vain.

Dataset Information

Survey data on factors that constrain the adoption of soil carbon enhancing technologies in Ethiopia.

Publications

Survey data on factors that constrain the adoption of soil carbon enhancing technologies in Ethiopia.

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