Risk Preferences as Determinants of Soil Conservation Decisions in Ethiopia

Soil degradation is one of the most serious environmental problems in the highlands of Ethiopia. The prevalence of traditional agricultural land use and the absence of appropriate resource management often result in the degradation of natural soil fertility. This has important implications for soil productivity, household food security, and poverty. Given the extreme vulnerability of farmers in this area, we hypothesized that farmers’ risk preferences might affect the sustainability of resource use. This study presents experimental results on the willingness of farmers to take risks and relates the subjective risk preferences to actual soil conservation decisions. The study looks at a random sample of 143 households with 597 farming plots. We found that a high degree of risk aversion significantly decreases the probability of adopting soil conservation. This implies that reducing farmers’ risk exposure could promote soil conservation practices and thus more sustainable natural resource management. This might be achieved by improving tenure security, promoting access to extension services and education, and developing off-farm activities that generate income.adoption, Ethiopia, risk preference, soil conservation

The Role of Production Risk in Sustainable Land-Management Technology Adoption in the Ethiopian Highlands

This paper provides empirical evidence of production risk impact on sustainable land- management technology adoption, using two years of cross-sectional plot-level data collected in the Ethiopian highlands. We used a moment-based approach, which allowed a flexible representation of the production risk (Antle 1983, 1987). Mundlak’s approach was used to capture the unobserved heterogeneity along with other regressors in the estimation of fertilizer and conservation adoption. The empirical results revealed that impact of production risk varied by technology type. Production risks (variance and crop failure as measured by second and third central moments, respectively) had significant impact on fertilizer adoption and extent of adoption. However, this impact was not observed in adoption of conservation technology. On the other hand, expected return (as measured by the first central moment) had a positive significant impact on both fertilizer (adoption and intensity) and conservation adoption. Economic instruments that hedge against risk exposure, including downside risk and increase productivity, are important to promote adoption of improved technology and reduce poverty in Ethiopia.Production risk, sustainable land management technology adoption, moment based estimation, Ethiopia

Participation in Off-Farm Employment, Rainfall Patterns, and Rate of Time Preferences: The Case of Ethiopia

Devoting time to off-farm activities, while complementing agricultural incomes, may be constrained by labor availability and financial capacity. This paper assesses the importance of rainfall patterns, which condition the availability of agricultural labor, and financial constraints on off-farm employment decisions. Using panel data from Ethiopia, which include experimental rate-of-time preference measures, we found that these and rainfall are significant determinants off-farm employment. Rural development policies should take into account the financial capacity of households and the role of off-farm opportunities as safety nets in the face of weather uncertainty.off-farm employment, rainfall variability, reduced availability of water, rate-of time-preferences, multinomial logit, Ethiopia

Household Tree Planting in Tigrai, Northern Ethiopia: Tree Species, Purposes, and Determinants

Trees have multiple purposes in rural Ethiopia, providing significant economic and ecological benefits. Planting trees supplies rural households with wood products for their own consumption, as well for sale, and decreases soil degradation. We used cross-sectional household-level data to analyze the determinants of household tree planting and explored the most important tree attributes or purpose(s) that enhance the propensity to plant trees. We set up a sample selection framework that simultaneously took into account the two decisions of tree growers (whether or not to plant trees and how many) to analyze the determinants of tree planting. We used logistic regression to analyze the most important tree attributes that contribute to households’ tree-planting decisions. We found that land size, age, gender, tenure security, education, exogenous income, and agro-ecology increased both the propensity to plant trees and the amount of tree planting, while increased livestock holding impacted both decisions negatively. Our findings also suggested that households consider a number of attributes in making the decision to plant trees. These results can be used by policymakers to promote tree planting in the study area by trengthening tenure security and considering households’ selection of specific tree species for their attributes.tree plantin, tree species, tree attributes or purposes, sample selection, Tigrai, Ethiopia

Sustainable Agricultural Practices and Agricultural Productivity in Ethiopia: Does Agroecology Matter?

This paper uses data from household- and plot-level surveys conducted in the highlands of the Tigray and Amhara regions of Ethiopia to examine the contribution of sustainable land-management practices to net values of agricultural production in areas with low- and high-agricultural potential. A combination of parametric and nonparametric estimation techniques is used to check result robustness. Both techniques consistently predict that minimum tillage is superior to commercial fertilizers—as are farmers’ traditional practices without use of commercial fertilizers—in enhancing crop productivity in the low-agricultural potential areas. In the high-agricultural potential areas, by contrast, use of commercial fertilizers is superior to both minimum tillage and farmers’ traditional practices without commercial fertilizers. The results are found to be insensitive to hidden bias. Our findings imply a need for careful agroecological targeting when developing, promoting, and scaling up sustainable land-management practices.agricultural productivity, commercial fertilizer, Ethiopia, low and high agricultural potential, minimum tillage, propensity score matching, switching regression

Urban Energy Transition and Technology Adoption: The Case of Tigrai, Northern Ethiopia

Dependency of urban Ethiopian households on rural areas for about 85 percent of their fuel needs is a significant cause of deforestation and forest degradation, resulting in growing fuel scarcity and higher firewood prices. One response to reducing the pressure on rural lands is for urban households to switch fuel sources (from fuelwood to electricity, for example) to slow deforestation and forest degradation and reduce indoor air pollution. However, such an energy transition is conditioned on the adoption of appropriate cooking appliances or stove technologies by the majority of users. This paper investigates urban energy transition and technology adoption conditions using a dataset of 350 urban households in Tigrai, in northern Ethiopia. Results suggest that the transition to electricity is affected by households adopting the electric mitad cooking appliance, which in turn is influenced by the level of education and income, among other things.urban energy transition, electric mitad cooking appliance, technology adoption, bivariate probit, Tigrai, Ethiopia

Renewable Technology Transfer to Developing Countries: One Size Does Not Fit All

Developing countries are experiencing unprecedented levels of economic growth. As a result, they will be responsible for most of the future growth in energy demand and greenhouse gas emissions. The development, transfer and use of renewable energy technologies are promising ways towards low-carbon development in these countries. However, the UNFCCC processes have had a limited success in promoting them. This is mainly due to their disconnection with national enabling factors and to their homogeneous approach for all developing countries. This paper addresses these pitfalls by analysing the differentiated performance of developing countries with regards to several indicators of enabling factors for technology transfer. Three quantitative analysis methodologies – principal component analysis, multiple regression analysis and cluster analysis – are used to identify the most important enabling factors of technology transfer and to create groups of developing countries according to their performance in these. Policy recommendations are then adapted to the specific needs of each of the defined groups.DfI

Perceptions of the seriousness of major public health problems during the COVID-19 pandemic in seven middle-income countries

INTRODUCTION: Public perception of the seriousness of the COVID-19 pandemic compared to six other major public health problems (alcoholism and drug use, HIV/AIDS, malaria, tuberculosis, lung cancer and respiratory diseases caused by air pollution and smoking, and water-borne diseases like diarrhea) is unclear. We designed a survey to examine this issue using YouGov's internet panels in seven middle-income countries in Africa, Asia, and Latin America in early 2022. METHODS: Respondents rank ordered the seriousness of the seven health problems using a repeated best-worst question format. Rank-ordered logit models allow comparisons within and across countries and assessment of covariates. RESULTS: In six of the seven countries, respondents perceived other respiratory illnesses to be a more serious problem than COVID-19. Only in Vietnam was COVID-19 ranked above other respiratory illnesses. Alcoholism and drug use was ranked the second most serious problem in the African countries. HIV/AIDS ranked relatively high in all countries. Covariates, particularly a COVID-19 knowledge scale, explained differences within countries; statistics about the pandemic were highly correlated with differences in COVID-19's perceived seriousness. CONCLUSIONS: People in the seven middle-income countries perceived COVID-19 to be serious (on par with HIV/AIDS) but not as serious as other respiratory illnesses. In the African countries, respondents perceived alcoholism and drug use as more serious than COVID-19. Our survey-based approach can be used to quickly understand how the threat of a newly emergent disease, like COVID-19, fits into the larger context of public perceptions of the seriousness of health problems

Connecting the sustainable development goals by their energy inter-linkages

The United Nations' Sustainable Development Goals (SDGs) provide guide-posts to society as it attempts to respond to an array of pressing challenges. One of these challenges is energy; thus, the SDGs have become paramount for energy policy-making. Yet, while governments throughout the world have already declared the SDGs to be 'integrated and indivisible', there are still knowledge gaps surrounding how the interactions between the energy SDG targets and those of the non-energy-focused SDGs might play out in different contexts. In this review, we report on a large-scale assessment of the relevant energy literature, which we conducted to better our understanding of key energy-related interactions between SDGs, as well as their context-dependencies (relating to time, geography, governance, technology, and directionality). By (i) evaluating the nature and strength of the interactions identified, (ii) indicating the robustness of the evidence base, the agreement of that evidence, and our confidence in it, and (iii) highlighting critical areas where better understanding is needed or context dependencies should be considered, our review points to potential ways forward for both the policy making and scientific communities. First, we find that positive interactions between the SDGs outweigh the negative ones, both in number and magnitude. Second, of relevance for the scientific community, in order to fill knowledge gaps in critical areas, there is an urgent need for interdisciplinary research geared toward developing new data, scientific tools, and fresh perspectives. Third, of relevance for policy-making, wider efforts to promote policy coherence and integrated assessments are required to address potential policy spillovers across sectors, sustainability domains, and geographic and temporal boundaries. The task of conducting comprehensive science-to-policy assessments covering all SDGs, such as for the UN's Global Sustainable Development Report, remains manageable pending the availability of systematic reviews focusing on a limited number of SDG dimensions in each case

The Dynamics of Electric Cookstove Adoption: Panel data evidence from Ethiopia

Previous studies on improved cookstove adoption in developing countries use cross-sectional data, which makes it difficult to control for unobserved heterogeneity and investigate what happens to adoption over time. We use robust non-linear panel data and hazard models on three rounds of panel data from urban Ethiopia to investigate the determinants and dynamics of electric cookstove adoption. We find the price of electricity and firewood, and access to credit as major determinants of adoption and transition. Our findings have important implications for policies aiming at promotion of energy transition and reduction of the pressure on forest resources in developing countries.JEL Classification: Q40; Q41; Q42; Q4