Reflecting on the role of dynamic capabilities in digital government with a focus on developing countries

The ability to reconfigure organisational resources dynamically in order to adapt to changing environments is an important organisational capability. Developing countries in particular have a greater need to reconfigure their government resources. The aim of this study was therefore to conduct a systematic literature review of research into the dynamic capabilities of digital government. The findings suggest that most researchers have focused on the innovative capability compared with adaptive and absorptive capabilities. This means the focus is primarily on new services and infrastructure using ICT, but rarely on scanning the environment to identify new ways to provide existing services, nor on finding new ways to provide new services using ICT. The findings further highlight the absence of research in developing countries, specifically in Africa and Latin America. This research contributes to ICT4D literature in identifying research gaps on how to reconfigure government resources using ICT in developing countries

Energy and emissions modelling in ethiopia’s transport sector

Papers presented virtually at the 41st International Southern African Transport Conference on 10-13 July 2062This paper discusses emissions and energy modelling in Ethiopia’s transport sector as a component of the development of a wider cross-sectoral Long-term Low Emissions Development Strategy (LT-LEDS) for the country. The LT-LEDS is a key requirement of the Paris Agreement 2015 to which Ethiopia is a signatory. It aims to support growth of key economic sectors while ensuring the alignment of developmental goals with climate commitments and environmental sustainability. The transport sector is identified as a key part of this effort given its significant contribution to GHG emissions and climate change globally. The main activities involved in developing the low emissions pathways are the modelling of baseline and mitigation scenarios which capture historic emission and energy trends in the transport sector and estimates future emissions linked with the growth of the sector respectively. A bottom-up modelling technique is employed for the study. This involves collecting and analysing disaggregate transport activity data to provide a fundamental understanding of transport sector energy consumption and how it affects the long-term transitions. The results of the scenario building highlight the road sector as the main contributor to transport sector emissions in the country. This calls for the implementation of strategies and interventions to reduce emissions and guarantee a climate friendly and environmentally sustainable growth

Baseline scenario modelling for low emissions development in Ethiopia's energy sector

This paper discusses the development of Business-as-usual (BAU) and low-emission scenarios for the energy sector in Ethiopia. This is done as part of efforts by the government to develop a Long-term Low Emissions Development Strategy (LT-LEDS) for the country. The process is conducted in consultation with key public and private sectors and civil society stakeholders. The overarching aim of the government is to reduce greenhouse gas emissions in the country in line with its commitment to the goals of the 2015 Paris Agreement. Keeping the global average temperature increases well below 2° Celsius is essential for a country like Ethiopia, given its vulnerability to the effects of climate change. Other actions taken in this regard are the development and update of the Country's National Determined Contribution (NDC), which sets the ambitious goal of tackling the effects of climate change by achieving a 68% emissions reduction by 2030. The BAU scenario is expected to inform the development of mitigation scenarios backed by policy actions that will ultimately lead to a decrease in emissions in the energy sector, looking towards the target year of 2050. The result of the LT-LEDS BAU scenario points to a pathway that will lead to the increase of emissions to 31 MtCO2e by 2050, while the proposed mitigation scenarios decrease emissions to 2.9 Mt by 2050