Laura Diaz Anadon’s research while affiliated with University of Cambridge and other places

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Publications (3)


Fig. 2. Data treatment process followed in the construction of the PV-DEI index at country-level.
Fig. 3. (a) Mapping unelectrified rural locations suitable for decentralised energy solutions (1 km 2 resolution) (b) Domestic electricity demand (kWh) (1 km 2 resolution).
Fig. 4. (a) Sub-Saharan Africa map with the PV-DEI index score for each country computed for the private sector approach: From highest performance (in dark green) to lowest performance (in dark red). The colour scheme is divided in five ranges, separated at the values of the 20 th , 40 th , 60 th , and 80 th percentiles. (b) Country-level ranking and breakdown of index with share of the four main dimensions (Environmental, Social, Political and Financial).
Fig. 5. A‫|‬ ‫|‬ Effect of the ranking of countries depending on the three stakeholder approaches. B ‫|‬ Spatial distribution of the PV-DEI index for private sector, civil society and international donor approach. White background indicates countries in which composite indicator function is not statistically robust.
Fig. 9. The PV-DEI open source and open-access analytical web-tool.
A multidimensional high-resolution assessment approach to boost decentralised energy investments in Sub-Saharan Africa
  • Article
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September 2021

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680 Reads

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22 Citations

Renewable and Sustainable Energy Reviews

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A. Bender

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L.D. Anadon

There are over 650 million people in Africa who have no access to electricity; this is in sharp contrast to the continent's vast untapped renewable energy potential and due largely to the historical lack of investments in energy infrastructure. New investments in decentralised power generation within Sub-Saharan Africa play a progressively important role in increasing energy access and addressing the continent's electricity supply shortages. Tracking the performance of Sub-Saharan African countries along various socio-political and economic axes can spur the mobilisation of private, public and international sectors in investing in decentralised energy technologies. An increasing amount of high-resolution global spatial data are available, and used for various assessments. However, key multidimensional indicators are mainly still provided only at the national level. To this end, we present a comprehensive and consistent analysis of the attractiveness for decentralised photovoltaic technologies at an unprecedented level of detail using both high-resolution spatial data and national reports. We develop and build a new composite indicator that considers the interplay between social, political, environmental and financial factors at a granular regional level for Sub-Saharan Africa and embeds within it the importance of the local production costs at high-spatial resolution.

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Dataset for Multidimensional Assessment to Incentivise Decentralised Energy Investments in Sub-Saharan Africa

July 2021

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142 Reads

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9 Citations

Data in Brief

In this data article, we present datasets from the construction of a composite indicator, the Photovoltaic Decentralised Energy Investment (PV-DEI) index, presented in detail in [1]. This article consists of the comprehensive energy-related data collected in practice from several sources, and from the outputs of the methodology described in [1]. The PV-DEI index includes 52 indicators and was designed and developed to measure the multidimensional factors that currently direct decentralised renewable energy investments. The PV-DEI composite indicator was constructed because factors stimulating investment cannot be captured by a single indicator, e.g. competitiveness, affordability, governance [1]. The PV-DEI was built in alignment with a theoretical framework guided by an extensive review of the literature surrounding investment in decentralised Photovoltaic (PV), which led to the selection of its indicators. The structure of the PV-DEI was evaluated for its soundness using correlational assessments and principal component analyses (PCA). The raw data provided in this article can enable stakeholders to focus on specific country indicators, and how scores on these indicators contributed to a countries overall rank within the PV-DEI. The data can be used to weight indicators depending on the specifications of several different stakeholders (such as NGO, private sector or international institutions).


Citations (2)


... Additionally, greenwashing practices within financial institutions may misrepresent certain products or investments as environmentally friendly despite their adverse impacts (Markandya et al., 2017). Furthermore, financial inclusion efforts may not always reach the most vulnerable populations, who might face socio-economic barriers to benefiting from green growth opportunities (Bender et al., 2021). Importantly, knowledge diffusion approaches can sometimes overlook traditional and indigenous knowledge on sustainable resource management, limiting the effectiveness and scope of interventions aimed at supporting green growth (Valente, 2010). ...

Reference:

Financial inclusion and knowledge diffusion for green growth in Sub-Saharan African countries
Dataset for Multidimensional Assessment to Incentivise Decentralised Energy Investments in Sub-Saharan Africa

Data in Brief

... Reliability of supply is an additional factor that should be taken into account when considering electrification approaches 26 . The reliability of supply is a key determinant of the value of access; with higher reliability enabling time-sensitive demands to be met 27 . ...

A multidimensional high-resolution assessment approach to boost decentralised energy investments in Sub-Saharan Africa

Renewable and Sustainable Energy Reviews