Role of microfinance to support agricultural climate change adaptations in Indonesia: Encouraging private sector participation in climate finance

The demands of mitigation and adaptation policies are important to understanding a country’s climate change preparation by providing microfinance in the agricultural sector. This could be seen as a strategy to fight against the challenges of future food security. In 2014, Indonesia established climate change adaptation policies. This legislation aims to pave the way for making actions on climate change adaptation mainstream in national and local development planning. Public and private finance have supported the implementation of the climate actions. However, most funding is still used for mitigation. Adaptation finance needs support, especially in agriculture. This research paper studies opportunities for microfinance to play a role together with existing resources in supporting climate change adaptation in Indonesia. The data was acquired and analysed through a literature review, analysis of case studies and interviews with stakeholders in the climate change-related financial sector. The central findings regarding the opportunity for microfinance to contribute to the existing schemes in Indonesian climate change adaptation finance for agriculture are worthy of the result. This study found that adaptation finance is mostly used for indirect activities. Meanwhile, local communities, and farmers in particular, need directly targeted measures to adapt to climate change. An alternative approach is providing microfinance, insurance and capacity development for farmers to produce high quality agricultural products. This would contribute to optimizing the agri-food value chain, which supports socio-economic development of stakeholders, especially farmers. Hence, microfinance appears to be one potential solution to support direct climate change adaptation actions for the agricultural sector. However, this may not be strong enough to finance the entire needs for agricultural climate actions. Adaptation is contextual, so it has to be grounded in the needs of local communities. Microfinance needs public sectors support as well as other resources from the private sector. In the case of rapid response to disasters, which often destroy the agricultural sector, microfinance should be advantageous in supporting adaptation. However, in reality, it does not work, as it is prevented by regulations. So, this can be an area the public sector can support as a risk-taker as well as by providing initial funds and resources for scaling up efforts.

The Human in the Loop: User Participation in Self-Adaptive Software

Self-adaptive software provides a profound solution for adapting applications to changing contexts in dynamic and heterogeneous environments. Having emerged from Autonomic Computing, it incorporates fully autonomous decision making based on predefined structural and behavioural models. The most common approach for architectural runtime adaptation is the MAPE-K adaptation loop implementing an external adaptation manager without manual user control. However, it has turned out that adaptation behaviour lacks acceptance if it does not correspond to a user’s expectations – particularly for Ubiquitous Computing scenarios with user interaction. Adaptations can be irritating and distracting if they are not appropriate for a certain situation. In general, uncertainty during development and at run-time causes problems with users being outside the adaptation loop. In a literature study, we analyse publications about self-adaptive software research. The results show a discrepancy between the motivated application domains, the maturity of examples, and the quality of evaluations on the one hand and the provided solutions on the other hand. Only few publications analysed the impact of their work on the user, but many employ user-oriented examples for motivation and demonstration. To incorporate the user within the adaptation loop and to deal with uncertainty, our proposed solutions enable user participation for interactive selfadaptive software while at the same time maintaining the benefits of intelligent autonomous behaviour. We define three dimensions of user participation, namely temporal, behavioural, and structural user participation. This dissertation contributes solutions for user participation in the temporal and behavioural dimension. The temporal dimension addresses the moment of adaptation which is classically determined by the self-adaptive system. We provide mechanisms allowing users to influence or to define the moment of adaptation. With our solution, users can have full control over the moment of adaptation or the self-adaptive software considers the user’s situation more appropriately. The behavioural dimension addresses the actual adaptation logic and the resulting run-time behaviour. Application behaviour is established during development and does not necessarily match the run-time expectations. Our contributions are three distinct solutions which allow users to make changes to the application’s runtime behaviour: dynamic utility functions, fuzzy-based reasoning, and learning-based reasoning. The foundation of our work is a notification and feedback solution that improves intelligibility and controllability of self-adaptive applications by implementing a bi-directional communication between self-adaptive software and the user. The different mechanisms from the temporal and behavioural participation dimension require the notification and feedback solution to inform users on adaptation actions and to provide a mechanism to influence adaptations. Case studies show the feasibility of the developed solutions. Moreover, an extensive user study with 62 participants was conducted to evaluate the impact of notifications before and after adaptations. Although the study revealed that there is no preference for a particular notification design, participants clearly appreciated intelligibility and controllability over autonomous adaptations.