Planning with justice: Using spatial modelling to incorporate justice in electricity pricing – The case of Tanzania. (15th April 2020)

• Record Type: Journal Article
• Authors: Menghwani, Vikas; Zerriffi, Hisham; Korkovelos, Alexandros; Khavari, Babak; Sahlberg, Andreas; Howells, Mark; Mentis, Dimitris
• Is Part Of: Applied energy. Volume 264(2020)
• Publication Date: 2020-04-15
• Subjects: Energy systems modelling -- Energy access -- Energy justice -- Tanzania -- OnSSET -- GIS; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2020.114749
• Languages: English
• ISSNs: 0306-2619

Abstract

Graphical abstract: Highlights: A methodology to incorporate just pricing in Tanzania's electrification planning. Equality pricing means a constant price throughout, considering only technology cost. Equity pricing takes into account the spatial distribution of poverty in the country. Grid customers bear the burden of price increase in both justice scenarios. Based on prices, capex and tariff subsidies values are calculated. Abstract: Universal electrification by 2030 is an important goal of Sustainable Development Goal (SDG) 7. Electricity provision no longer relies only on centralized grid expansion, but also on off-grid and mini-grid systems. Although this technological diversity holds promise, the technologies differ both physically and institutionally in electricity delivery. These differences raise equity and justice concerns around how they are implemented. For example, how can electricity be kept affordable for all consumers when access is provided by various technologies operated under different business models? This paper addresses this aspect of affordability and sheds light on how the SDG7 target could be met more equitably and fairly. We use a novel analytical methodology to apply two different principles of justice – equality and equity – to incorporate affordability into electricity pricing. Using a geospatial electrification model and Tanzania as a case study, we first arrive at price levels based on the principle(s) of justice. Then, we produce location-specific recommendations for subsidy levels needed to ensure those price levels. We find that the equity approach benefits a bigger section of the population than the equality approach. Moreover, the former costs significantly less per capita than the latter. Having said that, the equity approach is complex and therefore harder to implement. The methodological framework proposed in this study acts as a proof-of-concept for examining concerns around distributive justice using quantitative energy modelling tools and drawing policy relevant insights for energy planning in developing countries. Additionally, by focusing on the spatial aspects of energy access and the issue of fairness, the study also contributes to the growing conceptualizations of energy justice.