Browsing by Subject "Resilience"

Now showing 1 - 4 of 4
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    Bildung und Forschung im Kontext der digitalen und ökologischen Transformation des Agrarbereichs im Banat und Baden-Württemberg - auf dem Weg zu Ressourceneffizienz und Resilienz
    (2023) Weinmann, Markus; Landtag und Staatsministerium Baden-Württemberg , Universität für Lebenswissenschaften " König Michael I " in Timisoara; Raupp, Manfred G.; Ludewig, Uwe; Flad, Angelika
    The Banat Green Deal project "GreenERDE" (Education and Research in the context of the digital and ecological transformation of agriculture in the Banat Region and Baden-Württemberg - towards resource efficiency and resilience) aimed to strengthen the the competitiveness of the agricultural sector in the Romanian Banat, Baden-Württemberg and neighboring regions with innovative technical and at the same time socio-cultural connect interesting content. The advanced training program “Farming in Responsibility for Our Common World” carried out as part of this project aims at the transfer of knowledge and experience among farmers and other interested persons. Current and future challenges, such as ecological conversion and the digital transformation of agricultural production, but also social, economic and cultural aspects were addressed. Innovative and relevant knowledge from practice, research or development projects throughout Europe and other continents is presented.
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    Enhancing individual animal resilience to environmental disturbances to address low productivity in dairy cattle performing in sub-Saharan Africa
    (2023) Oloo, Richard D.; Ojango, Julie M. K.; Ekine-Dzivenu, Chinyere C.; Gebreyohanes, Gebregziabher; Mrode, Raphael; Mwai, Okeyo A.; Chagunda, Mizeck G. G.
    The current review examines potential solutions to enhance the sustainability and productivity of the dairy sector in sub-Saharan Africa (SSA) with an emphasis on breeding for resilience. Additionally, the paper explores various indicators for measuring resilience and provides insights into the data that can be utilized to quantify resilience in SSA’s dairy production systems. Dairy production contributes significantly to food and nutritional security and employment in SSA. However, besides the general lack of enabling policy and institutional environments, production is negatively affected by environmental challenges such as high temperatures and heat stress, diseases and parasites, unreliable rainfall patterns, shortages of feeds and forages and undue preference for taurine cattle breeds regardless of their poor adaptability to prevailing local conditions. Fostering the resilience capacity of dairy animals is imperative to combat climate-related adversities and maintain productivity. This can only be achieved if reliable and practical methods for quantifying and analyzing resilience in SSA are described and undertaken. This study has reviewed variance of deviations, root mean square of deviations, autocorrelation of deviations, skewness of deviations, slope of the reaction norm and its absolute value as possible indicators of resilience in SSA. While previous research has reported genetic variation and favorable correlations of these indicators with health, fitness, and fertility traits, their potential in SSA environments requires further investigation. Besides, labor- and cost-effective phenotypic data collection is essential for characterization of resilience using these indicators. Through this study, we propose frequently collected data on milk production traits, body fat-related traits, and activity patterns as suitable in the sub-Saharan Africa context. The African Asian Dairy Genetic Gains Project by the International Livestock Research Institute (ILRI) offers a valuable opportunity to collate data from diverse dairy systems in SSA for testing the potential of these indicators. Insights from this study are helpful in improving resilience of dairy animals in SSA, which would contribute to poverty alleviation, animal welfare improvement, and better preparedness in lieu of climate change in SSA.
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    The impact of agricultural innovations on poverty, vulnerability and resilience to food insecurity of smallholders in Ethiopia
    (2022) Biru, Wubneshe Dessalegn; Zeller, Manfred
    Ethiopia has adopted agriculture centered growth strategies over the last three decades that give more emphasis on improving agricultural production and productivity with the ultimate goal to transform the country’s economy. The strategies have mainly aimed at improving smallholder agriculture through introducing improved technologies intended to boost agricultural production and thus alleviate poverty and food insecurity. Although agriculture centered growth strategies contributed to sustained growth in the country over the last two decades, the benefits of growth have not been evenly distributed with observed rising income inequality and a still significant proportion of smallholders remaining under the poverty line. Similarly, despite considerable yield progress over the last three decades due to the introduction of improved inputs Ethiopian farmers’ yield gap compared with other developing countries is quite high. Moreover, the frequent occurrences of shocks such as drought and flooding adversely affect smallholders substantially and thereby exacerbate the existing poverty and food insecurity problems in the country. This thesis applied different econometric techniques to analyze the impact of the adoption of multiple agricultural technologies on crop yield, poverty, vulnerability, and resilience to food insecurity in Ethiopia. The study uses four rounds of household level panel data collected between 2012 and 2019 to assess the link between the adoption of the different combinations of five productivity-enhancing technologies: chemical fertilizer, improved seed, pesticide, and soil and water conservation practices: terracing and contour ploughing on consumption, poverty, vulnerability, and yields of smallholders. To solve the endogeneity problem in the regression models, we applied two-stage multinomial endogenous switching regression model combined with the Mundlak approach. Additionally, the thesis examines the role of the adoption of chemical fertilizer and improved seeds on household resilience to food insecurity amid the occurrence of adverse shocks. The findings are presented in three chapters of the cumulative thesis (Chapters two to four). Chapter two analyses the effect of productivity enhancing technologies and soil and water conservation measures and their possible combinations on consumption, poverty, and vulnerability to poverty. Per capita consumption expenditure for food and other essential non-food items, such as clothing and footwear, is used as a proxy variable to measure poverty. Using the national poverty line in 2011 prices, sample households are grouped into poor and non-poor households and the movement of sample households in and out of poverty between 2012 and 2016 is analyzed using a poverty transition matrix. By employing the ordered logit model, the study additionally examined the dynamics of poverty and vulnerability as well as their drivers. The results show that the adoption of the different combinations of agricultural technology sets including single technology adoption has considerable impacts on consumption expenditure and the greatest impact is attained when farmers combine multiple complementary inputs. Similarly, we find that the likelihood of households remaining poor or vulnerable decreased with adoption. In addition, the study revealed that poorer households are the least adopters of the technology combinations considered in the study, thereby being the least to benefit from adoption. We, therefore, conclude that the adoption of multiple complementary technologies has substantial dynamic benefits that improve the poverty and vulnerability status of households, and given the observed low level of adoption rates, we suggest that much more intervention is warranted, with a special focus on poorer and vulnerable households, to ensure smallholders get support to improve their input use. Chapter three assesses the impacts of multiple technology adoption on the yield of Ethiopia’s four staple crops, namely teff, wheat, maize and barley. Regarding the empirical estimation, we specified yield equations for each of the four crops and five to six possible input combinations that are included in the analysis indicating the presence of slope effect of technology choice other than the intercept of the outcome equations. The findings suggest that the application of two or more complementary inputs is considerably linked with higher maize, teff, barley, and wheat yield. Specifically, barley yield is highest for farmers who have adopted a combination of at least three of the technologies. Maize producers are the largest beneficiaries of the technologies. The impact of the technology choice sets tends to have an inconclusive effect on wheat and teff yields. However, a significant yield gap in all of the four crops was observed. Socio-economic characteristics of the household head such as age and gender as well as the household’s access to infrastructure and spatial characteristics of the household are other important determinants of crop yield. The implications are that more publicly funded efforts could be worthwhile for easing adoption constraints, which would in turn help smallholders to increase their crop yields that indirectly improve their livelihood. Chapter four aims to identify the determinants of household resilience to food insecurity which is the household’s ability to absorb or cope with the negative effects of shocks and bounce back to at least their initial livelihood status and assess its role on future household food security when hit by adverse shocks. Furthermore, the study analyzes the role of single or joint adoption of chemical fertilizer and improved seed on household food security. The household food security indicators used in the analysis are dietary diversity and per capita food consumption and uses data from the last three waves out of our four survey rounds. In terms of empirical estimation, the household resilience capacity index is estimated by combining factor analysis and structural equation modeling. Then different regression models are executed to assess the causal link between technology adoption and resilience capacity and household food security indicators in the face of adverse shocks. Our findings reveal that the most important pillars contributing to the building of household resilience capacity are assets followed by access to basic services. We find that the initial level of the household resilience score is significantly and positively associated with future household food security status. Moreover, the results reveal that the adoption of chemical fertilizer and improved seed is significantly and positively associated with household resilience capacity index, dietary diversity, and food consumption over time. Shocks such as drought appear to be significant contributors to the loss of household food security. Overall, it is revealed that the adoption of improved inputs significantly and positively increases household food security. However, the results show no evidence that supports the current level of adoption that helps households to shield themselves from the adverse effects of shocks. Finally, this study gives insights on examining the impacts and impact pathways of adoption of improved technologies on smallholder welfare which guide decision-makers for intervention as well as pave a way for future research that contributes to the fight against rural poverty and food insecurity. This thesis also concludes that public intervention in terms of investment in providing improved agricultural practices is crucial in improving rural livelihood, but it has to be inclusive and provide opportunities for the poor and vulnerable.
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    The return of happiness : resilience in times of pandemic
    (2022) Ahlheim, Michael; Kim, In Woo; Vuong, Duy Thanh
    Many papers have been written about peoples loss of life satisfaction during the first wave of the COVID-19 pandemic in 2020, but not much has been said about their resilience after the first shock had passed. Were people able to return, at least in part, to their original level of life satisfaction? This amounts to the question to which degree people had shown psychological resilience during the first wave of the COVID-19 crisis. In this context, it is also of interest which internal and external factors supported a persons tendency to prove resilient during the crisis. Based on an online survey conducted in August / September 2020 in Germany we try to answer these questions. We find that after a loss of average life satisfaction during the first three months after the outbreak of the pandemic in Germany many peoples life satisfaction increased again. Roughly 60% of the respondents proved resilient in the sense that eight months after the outbreak of the pandemic they had regained the same or an even higher level of life satisfaction as compared to the situation before the COVID-19 crisis. Our results show that besides socioeconomic characteristics like age and income and certain character traits, peoples personal experience during the crisis and their approval or disapproval of government policy during the crisis had an important influence on their chance to prove resilient. Therefore, a consistent and competent crisis communication building up trust in governments crisis management capacity is essential for peoples resilience in a crisis.