Browsing by Subject "Diffusion"
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Publication Conversion of subsistence farming to sustainable agroforestry in the Midhills of Nepal : participatory action research in system development(2015) Schick, Alina; Hoffmann, VolkerIn the Midhills of Nepal, agriculture is practiced mostly as subsistence farming on often small-sized terraces. Nowadays there are often only a few trees left in cultivated areas, which leaves the soil bare for several months of the year, mostly in winter. Degeneration processes by environmental influences on bare terraces, and a deficiency of organic material lead to poor soils and consequently to a reduced harvest. A rising population leads to a fragmentation of farms by spreading estates, thus leading to ever smaller-sized cultivated land areas. These often and increasingly do not produce enough food to feed farmers and their families. The possibilities of work in other income sectors are limited. Consequently, some farmers leave their land and move to Kathmandu. To break this chain it is necessary to develop new survival strategies. One solution is to ensure that existing farms can produce enough food to feed themselves and sell to make a living. This can theoretically be achieved by alternative farming methods and the introduction of new techniques. Agroforestry with its mixed farming styles and aspects of permaculture can eventually help to ameliorate the soils and provide extra nutrition and income through a perennially mixed plant production system that also includes several cash crops. The objective of the present study is to evaluate the actual situation of farmers in the region of Kaule, Nepal, and to assess the system change from subsistence farming to agroforestry. An existing agroforestry farm established in Kaule about 15 years ago will serve as a reference. For the system change to agroforestry several hypotheses were put forward on the assumption of the stated problems. These hypotheses have been tested by several methods such as socioeconomic and ecological field surveys, in combination with qualitative social research methods like interviews, questionnaires, protocols and direct observations. The results were then ordered in case studies per household and later accumulated into comparative group observations. The system change was then contextualised to a situation-based functional theory of adoption and diffusion of innovations in social systems. This study report is the written monitoring result of the three initial project years from 2009 to 2011 in Kaule, and in some cases supplemented by additional data from earlier and later years. Data on income and expenses, work distribution within the families, soil quality and biodiversity have been selected. General descriptions of farming methods and reports on several training sessions are also included, as well as the assessment of terrace sizes and meteorological data. After comparing single household situations in the case studies with those of accumulative group observations, two different livelihood strategies were found that seemed to be sustainable for the current situation in Kaule. One strategy is where several parts of families merge together to create bigger social structures and combine their land in bigger scales to produce their livelihood. Alternatively, like the case of the agroforestry farm, the other strategy is part-time farming with enhanced cultivation methods for nutrition and income production, in addition to external work based on higher education. When agroforestry was compared to a situation-based functional approach to describe its potential for adaption and diffusion, it was found that agroforestry in its complexity is difficult to establish and places high expectations on adopters. For households that cultivate only a few plants for personal consumption, agroforestry is not suitable, although they can adopt single elements of the package. The introduction of new plants and methods into farming systems needs to be preferentially planned by marketing prospects. The potential of diffusion of the innovation depends on the necessary support. Even though agroforestry, in the form it has been promoted by the project, is relatively complex, it allows farmers to choose out of its multitude of elements which ones to adopt. The adoption of further farming methods and plants and also additional components like composting or beekeeping can be further developed over time. The potential of agroforestry to enhance soil quality and to contribute to better crop production became apparent when it was compared to other project farms. The potential of diffusion of agroforestry to other farms in the area is possible, as long as suitable local structures like demonstration farms and locally organized project structures are established and continual trainings are organized. A mixture of self-help and external support is therefore favorable.Publication United we stand, divided we fall : essays on knowledge and its diffusion in innovation networks(2019) Bogner, Kristina; Pyka, AndreasKnowledge is a key resource, allowing firms to innovate and keep pace with national and international competitors. Therefore, the management of this resource within firms and innovation networks is of utmost importance. As the collection and generation of (new) knowledge gives such competitive advantage, there is a strong interest of firms and policy makers on how to foster the creation and diffusion of new knowledge. Within four studies, this doctoral thesis aims at extending the literature on knowledge diffusion performance by focussing on the effect of different network structures on diffusion performance as well as on knowledge types besides mere techno-economic knowledge. Study 1 analyses the effect of different structural disparities on knowledge diffusion by using an agent-based simulation model. It focuses on how different network structures influence knowledge diffusion performance. This study especially emphasizes the effect of an asymmetric degree distribution on knowledge diffusion performance. Study 1 complements previous research on knowledge diffusion by showing that (i) besides or even instead of the average path length and the average clustering coefficient, the (symmetry of) degree distribution influences knowledge diffusion. In addition, (ii) especially small, inadequately embedded agents seem to be a bottleneck for knowledge diffusion in this setting, and iii) the identified rather negative network structures on the macro level seem to result from the myopic linking strategies of the actors at the micro level, indicating a trade-off between ‘optimal’ structures at the network and at the actor level. Study 2 uses an agent-based simulation model to analyse the effect of different network properties on knowledge diffusion performance. In contrast to study 1, this study analyses this relationship in a setting in which knowledge is diffusing freely throughout an empirical formal R&D network as well as through four benchmark networks. In addition, the concept of cognitive distance and differences in learning between agents in the network are taken into account. Study 2 complements study 1 and further previous research on knowledge diffusion by showing that (i) the (asymmetry of) degree distribution and the distribution of links between actors in the network indeed influence knowledge diffusion performance to a large extend. In addition, (ii) the extent to which a skewed degree distribution dominates other network characteristics varies depending on the respective cognitive distance between agents. Study 3 analyses how so called dedicated knowledge can contribute to the transformation towards a sustainable, knowledge-based Bioeconomy. In this study, the concept of dedicated knowledge, i.e. besides mere-techno economic knowledge also systems knowledge, normative knowledge and transformative knowledge, is first introduced. Moreover, the characteristics of dedicated knowledge which are influencing knowledge diffusion performance are analysed and evaluated according to their importance and potential role for knowledge diffusion. In addition, it is analysed if and how current Bioeconomy innovation policies actually account for dedicated knowledge. This study complements previous research by taking a strong focus on different types of knowledge besides techno-economic knowledge (often overemphasized in policy approaches). It shows, that i) different types of knowledge necessarily need to be taken into account when creating policies for knowledge creation and diffusion, and ii) that especially systems knowledge so far has been insufficiently considered by current Bioeconomy policy approaches. Study 4 analyses the effect of different structural disparities on knowledge diffusion by deducing from theoretical considerations on network structures and diffusion performance. The study tries to answer whether the artificially generated network structures seem favourable for the diffusion of both mere techno-economic knowledge as well as dedicated knowledge. Study 4 especially complements previous research on knowledge diffusion by (i) analysing an empirical network over a long period of time, and (ii) by indicating a potential trade-off between structures favourable for the diffusion of mere techno-economic knowledge and those for the diffusion of other types of dedicated knowledge. Summing up, it is impossible to make general statements that allow for valid policy recommendations on network structures ‘optimal’ for knowledge diffusion. Without knowing the exact structures and context, politicians will hardly be able to influence network structures. Especially if we call for knowledge enabling transformations as the transformation towards a sustainable knowledge-based Bioeconomy, creating structures for the creation and diffusion of this knowledge is quite challenging and needs for the inclusion and close cooperation of many different actors on multiple levels.Publication Die Verbreitung neuer Technologien am Beispiel von Biokraftstoffen in Deutschland(2010) Benignus, Isabell; Ahlheim, MichaelBy now, Biofuels became an inherent part of the German strategy to fulfil the climate targets of the Kyoto protocol as well as the reduction of the high dependency of power supply from foreign countries. However, Biofuels will only be able to deploy a material effect if their market share increases significantly over the next few years. In Germany, the market share of biofuels is still below ten percent. From a global view the market share is even smaller. The diffusion of biofuels is a problem of the diffusion of new technologies, which covers both the demand side and the production technologies of the supply side. The intention of the work is the analysis of the diffusion of biofuels from a political-economical point of view. The substantial theoretical results of the economic diffusion research are clarified using a neoclassical model and illustrated using the example of the German biofuels market. The work shall contribute to the ongoing discussion on the promotion of biofuels. Accordingly, the focus of the work is application-oriented. The three focal points of the work are: 1. Identification of relevant diffusion constraints of biofuels and analysis of their effects by means of a neoclassical diffusion model. 2. Analysis of the eligibility for support of biofuels. A special focus lies on the question of suitability of different promotion instruments. 3. Empirical examination of the diffusion effect of selected national promotion instruments on the German biodiesel market. A special focus lies on the most important instrument for the promotion of biodiesel: (partial) the energy tax exemption for biodiesel in Germany.