Browsing by Author "Kassie, Menale"

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Adoption of Organic Farming Technologies: Evidence from Semi-Arid Regions of Ethiopia
(2008-12-16T10:05:56Z) Kassie, Menale; Zikhali, Precious; Manjur, Kebede; Edwards, Sue
In the wake of resource constraints faced by farmers in developing countries in using external farm inputs, sustainable agricultural production practices that rely on local or farm renewable resources present desirable options for enhancing agricultural productivity. In this paper we use plot-level data from the semi-arid region of Ethiopia, Tigray, to investigate the factors influencing farmers' decisions to adopt sustainable agricultural production practices, with a particular focus on conservation tillage and compost. While there is heterogeneity with regards to factors influencing the choice to use either practice, results from a multinomial logit analysis underscore the importance of both plot and household characteristics on adoption decisions. In particular we find that poverty, and access to information, among other factors, impact the choice of farming practices significantly. We also find evidence that the impact of gender on technology adoption is technology specific while the significance of plot characteristics indicate the decision to adopt specific technologies is location-specific. Furthermore the use of stochastic dominance analysis supports the contention that sustainable farming practices enhance productivity -they even prove to be superior to the use of chemical fertilizers- justifying the need to investigate factors that influence adoption of these practices and use this knowledge to formulate policies that encourage adoption.
Determinants of Adoption and Impacts of Sustainable Land Management and Climate Smart Agricultural Practices (SLM-CSA) :Panel Data Evidence from the Ethiopian Highlands
(2017-08) Beyene, Abebe D; Mekonnen, Alemu; Kassie, Menale; Di Falco, Salvatore; Bezabih, Mintewab; Abebe D. Beyene, corresponding author, Environment and Climate Research Center, Ethiopian Development Research Institute, email: abebed2002@yahoo.co.uk. Alemu Mekonnen, Department of Economics, Addis Ababa University, email: alemu_m2004@yahoo.com. Menale Kassie, International Center of Insect Physiology and Ecology (ICIPE), P.O. Box 1041, 00621 Village, Market, Nairobi, Kenya, email: mkassie@icipe.org. Salvatore Di Falco, University of Geneva, Switzerland, email: Salvatore.DiFalco@unige.ch. Mintewab Bezabih Ayele, Environment and Climate Research Center, Ethiopian Development Research Institute. email: mintewab.ayele@gmail.com.
This paper analyzes the factors affecting adoption of sustainable land management and climate smart agricultural (SLM-CSA) practices (in particular tree planting, soil conservation and intercropping) and the effects of adoption on crop net revenue. We use two rounds of household and parcel level survey data collected from the East Gojjam and South Wollo Zones in the Amhara region of Ethiopia, in combination with spatially explicit climate data (rainfall and temperature). We use a multinomial endogenous switching regression model to understand the impacts of SLM-CSA practices on crop net revenue and we conduct a counterfactual analysis to compare the returns from various adaptation strategies. The results show the importance of household characteristics, physical characteristics of the farm, and climate-related factors in farm households’ decisions to adopt adaptation strategies. We also find that the adoption of SLM-CSA practices, either in isolation or in combination, can result in both positive and negative returns in crop net revenue. Tree planting has the best payoff among the practices considered in this study, either in isolation or in combination. The study also suggests that adoption of all three SLM-CSA practices does not necessarily result in better returns compared to other strategies considered in this study.
Does Fertilizer Use Respond to Rainfall Variability? Panel Data Evidence from Ethiopia
(2009-01-05T07:24:53Z) Alem, Yonas; Bezabih, Mintewab; Kassie, Menale; Zikhali, Precious
In this paper we use farmers' actual experiences with changes in rainfall levels and their responses to these changes to assess if patterns of fertilizer use are responsive to changes in rainfall patterns. Using plot and farm level panel data from the central Highlands of Ethiopia matched with corresponding village level rainfall data; results show that both the current year’s decision to adopt and the intensity of fertilizer adoption is positively associated with higher rainfall levels experienced in the previous year. Furthermore, we find a concave relationship between previous season rainfall levels and fertilizer adoption, indicating that too much rainfall discourages adoption. Abundant rainfall in the previous year could depict relaxed liquidity constraints and increased affordability of fertilizer, which makes rainfall availability critical in severely credit constrained environments. In light of similar existing literature, the major contribution of the study is its use of plot level panel data, which permits us to investigate the importance of plot characteristics in fertilizer adoption decisions.
Economics of Soil Conservation Adoption in High-Rainfall Areas of the Ethiopian Highlands
(2009-11-30T10:37:09Z) Kassie, Menale; Holden, Stein; Köhlin, Gunnar; Bluffstone, Randy
This study measures the impact of fanya juu bunds (an important soil and water conservation technology and the most popular type of contour bund in east Africa) on the value of crop production in a high-rainfall area in the Ethiopian highlands using cross-sectional multiple plot observations. We applied switching regression, stochastic dominance analysis (SDA), and decomposition and propensity score matching methods to ensure robustness. The switching regression, SDA, and decomposition analyses relied on matched observations, which was important because regression and SDA often do not ensure that comparable plots with conservation technology (conserved) and plots without (unconserved) actually exist in the distribution of covariates. All models told a consistent story that the value of crop production for plots with bunds was lower than for plots without bunds. In addition, the yield decomposition results showed that, although there was little difference in endowments between conserved and unconserved plots, the returns to endowments were substantially higher for unconserved plots. Based on these findings, it was hard to avoid the conclusion that these technologies might reduce soil erosion and associated off-site effects, but they did so at the expense of poor farmers in the Ethiopian highlands. We concluded that unless productivity was increased—for example by increasing fodder grass production on bunds—fanya juu bunds reduced on-farm production and therefore could not be characterized as a “win-win” measure to reduce soil erosion.
Household Tree Planting in Tigrai, Northern Ethiopia: Tree Species, Purposes, and Determinants
(2010-02-18T09:10:21Z) Gebreegziabher, Zenebe; Mekonnen, Alemu; Kassie, Menale; Köhlin, Gunnar
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. In this paper, 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 takes into account the two decisions of tree growers (whether or not to plant tree and how many) to analyze the determinants of tree planting. We used logistic regression to analyze the most important tree attributes contributing 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 decision to plant trees. These results can be used by policymakers to promote tree planting in the study area by strengthening tenure security and considering households’ selection of specific tree species for their attributes (criteria).
Organic Farming Technologies and Agricultural Productivity: The case of Semi-Arid Ethiopia
(2008-12-16T09:50:58Z) Kassie, Menale; Zikhali, Precious; Pender, John; Köhlin, Gunnar
Organic farming practices, in as far as they rely on local or farm renewable resources, present desirable options for enhancing agricultural productivity for resource-constrained farmers in developing countries. In this paper we use plot-level data from semi-arid area of Ethiopia to investigate the impact of organic farming practices on crop productivity, with a particular focus on conservation tillage. Specifically we seek to investigate whether conservation tillage results in more or less productivity gains than chemical fertilizer. Our results reveal a clear superiority of organic farming practices over chemical fertilizers in enhancing crop productivity. Thus our results underscore the importance of encouraging resource-constrained farmers in developing countries to adopt organic farming practices, especially since they enable farmers to reduce production costs, provide environmental benefits, and as our results confirm, enhance crop productivity.
Risk Implications of Farm Technology Adoption in the Ethiopian Highlands
(2009-11-30T12:41:52Z) Yesuf, Mahmud; Kassie, Menale; Köhlin, Gunnar
In countries where insurance and credit markets are thin or missing, production and consumption risks play a critical role in the choice and use of production inputs and adoption of new farm technologies. In this paper, we investigated impacts of chemical fertilizer and soil and water conservation technologies adoption on production risks, using a moment-based approach and two years of cross-sectional data. A pseudo-fixed-effect model was estimated to generate first, second, and third moments of farm production. Our results revealed that fertilizer adoption reduces yield variability, but increases the risk of crop failure. However, adopting soil and water conservation technology has no impact on yield variability, but reduces the downside risk of crop failure. The results underscore that the risk implications of farm technology adoption vary by technology type. Furthermore, policies that promote adoption of fertilizers should be complemented by desirable instruments that hedge against downside risk. In that respect, if properly implemented, the safety net program and the weather insurance programs currently piloted in some parts of Ethiopia are actions in the right direction.
The Role of Production Risk in Sustainable Land-Management Technology Adoption in the Ethiopian Highlands
(2009-11-30T14:06:40Z) Kassie, Menale; Yesuf, Mahmud; Köhlin, Gunnar
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.
The Role of Soil Conservation on Mean Crop Yield and Variance of Yield - Evidence from the Ethiopian Highlands
(2009-11-30T14:20:02Z) Kassie, Menale; Pender, John; Yesuf, Mahmud; Köhlin, Gunnar; Mulugeta, Elias
Land degradation has been one of the major areas of concern in Ethiopia. Governments and development agencies have invested substantial resources to promote land management technologies and reduce land degradation. However, there is little understanding of the impacts that land management technologies have on yield and yield variability. This paper investigates the impact of stone bunds on mean yield and variance of yield, using multiple plot observations per household in low- and highrainfall areas of the Ethiopian highlands. Our analysis incorporated the propensity score matching method, stochastic dominance analysis, and exogenous and endogenous switching regression methods. We found statistically significant and positive impact of stone bunds on yield in low-rainfall areas. This did not hold in high-rainfall areas. We did not find a statistically significant stone-bund impact on production risk in either high- or low-rainfall areas. The results were robust to both parametric and nonparametric analysis. The overall conclusion from the analysis is that the performance of stone bunds varies by agro-ecology type. This implies the need for designing and implementing appropriate technologies that enhance productivity and are better adapted to local conditions.
Sustainable Agricultural Practices and Agricultural Productivity in Ethiopia: Does Agroecology Matter?
(2009-11-30T13:58:10Z) Kassie, Menale; Zikhali, Precious; Pender, John; Köhlin, Gunnar
Sustainable agricultural practices, in as far as they rely on renewable local or farm resources, present desirable options for enhancing agricultural productivity for resource-constrained farmers in developing countries. In this paper, we used two sets of plot-level data—from a low-rainfall area and from a high-rainfall area of Ethiopia—to investigate the impact of sustainable agricultural practices on crop productivity, with a particular focus on reduced tillage. Specifically, we sought to investigate whether reduced tillage results in more or less productivity gain than chemical fertilizer. The nature of the two sets of data allows us to examine whether the productivity of these technologies is conditioned by agroecology. Interestingly, our results revealed a clear superiority of reduced tillage over chemical fertilizers in enhancing crop productivity in the low-rainfall region. In the high-rainfall region, however, chemical fertilizer is overwhelmingly superior and reduced tillage potentially results in productivity losses. Thus, our results underscore the need to understand the role of agroecology in determining the profitability (in terms of productivity gains) of farm technologies. This has particular importance in formulating policies that promote technology adoption. In this particular case, our results support encouraging resource-constrained farmers in semi-arid areas to adopt sustainable agricultural practices, especially since they enable farmers to reduce production costs, provide environmental benefits, and—as our results confirm—enhance crop productivity.