CS29: Energy Finance and Investments

The global shift away from fossil fuels is accelerating. For coal-dependent economies, this presents not an environmental imperative but a profound economic and social challenge. South Africa is a prominent case. It is among the world's most carbon-intensive electricity systems, with energy infrastructure and livelihoods concentrated in the Mpumalanga coal belt.
Transitioning these regions requires large-scale private investment in renewable energy. Yet private capital does not flow uniformly across space. Investors perceive certain regions as riskier, driving up financing costs where investment is most needed. Current national energy planning tools assume capital costs are geographically uniform, an assumption this paper shows to be empirically false. 
This paper introduces the bankability-equity paradox, whereby regions most central to a socially just transition face endogenous risk premiums that structurally exclude them from the private capital flows they require. Drawing on documentary analysis of South Africa's Renewable Energy Independent Power Producer Procurement Programme (REIPPPP) bid windows 1–6 and the Just Energy Transition Investment Plan (JET-IP), and examining how formal procurement rules and informal investor risk perceptions jointly shape financing outcomes, a Socio-Spatial Risk Framework is developed. It traces how limited grid hosting capacity, labor vulnerability, and weak municipal creditworthiness compound into a self-reinforcing spatial financing trap.
The analysis demonstrates that uniform cost of capital assumptions produce geographic stranding, in which renewable investment concentrates in low-risk regions while transition-dependent communities are bypassed. Existing Just Energy Transition Partnership (JETP) de-risking instruments lack mechanisms to correct this spatial inequity.
To address these gaps, an equity audit protocol is proposed comprising technical-grid assessment (hosting capacity, transmission availability); geospatial risk indexing (fiscal health, labor market risk); and locational-justice metrics in procurement design. This offers a transferable approach for emerging economies where fiscal fragmentation and spatial inequality jointly shape energy futures.

The global transition toward renewable and sustainable energy systems has become a central pillar of climate mitigation and development strategies. Despite declining technology costs and growing policy commitments, renewable energy deployment remains uneven across countries, especially in emerging economies. These disparities reflect differences not only in income levels and resource endowments, but also in institutional quality, regulatory stability, and access to finance.
This paper investigates how public and private investments contribute to the expansion of renewable energy in emerging markets and whether this relationship is conditioned by institutional quality. The study is motivated by the recognition that the global energy transition requires large-scale investment and that emerging economies face particular financial and institutional constraints that can hinder renewable deployment.


The authors construct an annual country-level panel for 15 emerging economies over the period 2002–2023. Renewable energy expansion is proxied by installed renewable electricity capacity, while financing is captured by two distinct measures: public investments specifically directed to renewable energy and private investment commitments in energy infrastructure projects. Institutional conditions are measured using three governance indicators from the Worldwide Governance Indicators: regulatory quality, political stability, and rule of law. The empirical strategy relies on log-linear panel regressions with country and year fixed effects, estimated with Driscoll–Kraay standard errors to address heteroskedasticity, serial correlation, and cross-sectional dependence.


The results show that increases in GDP per capita are strongly associated with within-country expansion of renewable capacity. Public investment displays a positive and statistically significant relationship with renewable deployment, particularly in specifications that include regulatory quality and rule of law. In contrast, private investment does not exhibit robust direct effects, which likely reflects the fact that the private investment measure captures energy infrastructure broadly rather than renewable-specific flows.

The transition to renewable energy requires substantial capital to support infrastructure, technology deployment, and grid integration, yet financing constraints remain a major barrier, particularly in developing economies. To address this, governments, development partners, and private investors have introduced diverse financing frameworks, including project finance, blended finance, green bonds, PPPs, concessional funding, fiscal incentives, and results-based mechanisms to mobilize capital, allocate risk, and enhance project viability. Despite growing scholarship, existing literature is fragmented across disciplines, limiting a comprehensive understanding of how these models are conceptualized, classified, and evaluated. This systematic literature review synthesizes scholarly evidence on financing frameworks for renewable energy investments, examining their typologies, strengths, limitations, and contextual effectiveness, while identifying methodological and theoretical gaps.
The review applies a rigorous, transparent methodology guided by established systematic review protocols. Searches will be conducted across major academic databases, including Scopus, Web of Science, ScienceDirect, and Google Scholar, using structured keyword combinations related to renewable energy finance and investment models. Eligible studies will include peer-reviewed and policy-relevant research focused on financing structures, while purely technical or methodologically unclear works will be excluded. Extracted data will cover financing types, theoretical approaches, geographic focus, analytical methods, and outcomes, and will be synthesized thematically to develop comparative classifications such as public, private, hybrid, and market-based models.
Expected findings are that dominant financing approaches will vary according to institutional quality, regulatory stability, market maturity, and risk environment. Project finance and blended finance are anticipated to prevail in large-scale projects, while instruments like fiscal incentives, green bonds and climate funds may be more prominent in policy-driven contexts. By consolidating dispersed evidence, this review will provide a structured analytical framework useful to scholars, policymakers, and investors, offering insights into effective financing strategies and highlighting priority areas for future research on financing for renewable energy investment.

Este estudo estima os efeitos locais do financiamento do Banco Nacional de Desenvolvimento Econômico e Social (BNDES) para atividades relacionadas à energia eólica na estrutura industrial e econômica brasileira, considerando indicadores de emprego e valor adicionado em nível municipal no período de 2002 a 2021. O método de Diferença em Diferenças (DiD) foi aplicado, incorporando abordagens para efeitos de tratamento dinâmicos e heterogêneos. Entre 2010 e 2020, o Brasil experimentou um crescimento exponencial na capacidade de energia eólica, o que pode ser atribuído à disponibilidade de recursos naturais, à maturidade tecnológica e ao desenvolvimento de políticas e instrumentos específicos para o setor. Com o apoio do BNDES, a energia eólica representou mais da metade do financiamento do setor energético em 2017, com a geração concentrada no Nordeste e a produção de equipamentos no Sul-Sudeste. Os resultados mostram que o financiamento aumentou o valor adicionado industrial nos municípios beneficiados em aproximadamente 74% e gerou efeitos indiretos espaciais positivos para a agricultura em áreas vizinhas. De modo geral, as atividades apresentam um efeito dinâmico que persiste mesmo após o recebimento do financiamento. Esses resultados destacam a importância do financiamento direcionado para o setor como forma de fomentar atividades de maior valor agregado em regiões historicamente desiguais. Além disso, uma das características definidoras da construção de parques eólicos é o alto custo de capital e os longos períodos de amortização, o que ressalta o papel crucial desempenhado pelo BNDES. O estudo contribui para a literatura sobre os impactos locais do financiamento de energia limpa, destacando as trajetórias de desenvolvimento regional e seus efeitos duradouros na estrutura econômica.

Abstract _ Banks Climate Stress Testing Based on Energy Sectors.docx
To meet climate targets, production shifts in climate policy–relevant sectors (hereafter, CPRS) can weaken the credit quality of banks' loan portfolios, elevate bank-level risk, and ultimately amplify systemic risk in the banking system. Quantifying such transition-risk exposure therefore requires an integrated climate stress-testing framework that captures both balance-sheet impacts and network-based contagion. This paper investigates China's 20 systemically important banks (SIBs) and estimates the direct and indirect losses arising from climate transition risk using industrial loan exposures and interbank lending relationships. We combine AR6-based scenario information with asset valuation approaches to translate sectoral transition shocks into bank losses, and apply network analysis to assess how distress can propagate through interbank linkages. This design enables a consistent comparison of banks' risk profiles across Representative Concentration Pathway (RCP) scenarios while distinguishing direct risks from amplification effects (indirect) driven by the interbank network. Empirically, the electricity production (EL) sector is identified as the most exposed to transition risk. Carbon-intensive (brown) lending exhibits a higher average equity impairment ratio than clean (green) lending (4.58% versus 1.77%). Across all SIBs and RCP scenarios, the mean climate Value-at-Risk (Climate VaR) is 9.19%, with risk peaking under the RCP6.0 scenario (12.36% on average). Moreover, indirect losses transmitted through the interbank network exceed direct losses by roughly a factor of three on average, underscoring the importance of contagion channels. These results imply that regulators should strengthen differentiated supervision for higher-ranked SIBs and enhance monitoring of exposures to highly vulnerable sectors, while banks should proactively rebalance loan portfolios toward lower-transition-risk activities. Finally, the analysis indicates that more stringent climate targets can reduce transition risks relative to more lenient pathways.