2020
DOI: 10.3390/su12229425
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Assessing Private Investment in African Renewable Energy Infrastructure: A Multi-Criteria Decision Analysis Approach

Abstract: Energy poverty remains prevalent in many African countries, hindering economic development and exacerbating social inequalities. Simultaneously, population growth throughout the continent is expected to perpetuate the already high demand for basic energy services into the coming decades. Private sector finance is increasingly regarded as a necessary ingredient to remedy Africa’s energy challenges and to stimulate the adoption of renewable energy. However, investments remain insufficient for the burgeoning infr… Show more

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Cited by 19 publications
(7 citation statements)
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“…In the beginning, SF was created to assist social ventures with their financial needs. Even though SF can create both social and financial value, social ventures sometimes face difficulties accessing different financial markets due to their nature and high risk [23][24][25][26][27]. Secondly, most European governments have recognised the potential and possibile of growth of SF.…”
Section: Introductionmentioning
confidence: 99%
“…In the beginning, SF was created to assist social ventures with their financial needs. Even though SF can create both social and financial value, social ventures sometimes face difficulties accessing different financial markets due to their nature and high risk [23][24][25][26][27]. Secondly, most European governments have recognised the potential and possibile of growth of SF.…”
Section: Introductionmentioning
confidence: 99%
“…Ref. [213] studied the decision-making between financing and not financing renewable energy matrices on the African continent and concluded that investor confidence in regulatory effectiveness is the main concern, besides local construction capacity and political instruments [213]. In non-quantitative approaches, there are also studies without a sample directed to country/continent, such as [214][215][216][217][218][219].…”
Section: Discussionmentioning
confidence: 99%
“…Thus, this method is widely used in several fields of study including the food supply chain. For instance, fuzzy TOPSIS was used in several fields in the literature such as financial performance evaluation [36], supplier selection [5,37,38], optimal site selection [39,40], renewable energy infrastructure [41], quality management [42], construction and infrastructure [43,44], and maintenance planning [45], etc.…”
Section: Fuzzy Topsis Methodsmentioning
confidence: 99%