Emerging Markets for Renewable Energy

2000 ◽  
Vol 13 (1) ◽  
pp. 13-24 ◽  
Author(s):  
Ryan Wiser ◽  
Kevin Porter ◽  
Steve Clemmer
2021 ◽  
Vol 250 ◽  
pp. 01006
Author(s):  
Anna Tarasova

A number of countries in the emerging markets are becoming leaders in manufacturing solar photovoltaic products. Thus, global companies are urged to compete in all stages of the supply chain for producing most of the installed solar modules around the world. Meanwhile, production costs are at record lows. The decisions made in the emerging markets will affect the course for the solar and wind industry and their role towards de-carbonization of global energy systems in the near future. Renewable energy is set of miscellaneous natural resources, which preserves non-renewable sources for further use in other sectors of the economy, and saves green energy for future eras. The way a country employs its potential in renewables will safeguard the country’s energy security and the stability of electricity prices. Renewable energy is eco-friendly, as its operation does not produce any waste, or discharge pollutants into the atmosphere or water bodies. Our paper discusses the latest achievements of various scientific areas and industries, as well as it lists specific recommendations for national sustainable actions plans. These recommendations might be useful for policy-makers, working in adopting the transformation of their country’s energy systems.


2021 ◽  
Vol 1 (4) ◽  
Author(s):  
N. Packham

AbstractRecently, a number of structured funds have emerged as public-private partnerships with the intent of promoting investment in renewable energy in emerging markets. These funds seek to attract institutional investors by tranching the asset pool and issuing senior notes with a high credit quality. Financing of renewable energy (RE) projects is achieved via two channels: small RE projects are financed indirectly through local banks that draw loans from the fund’s assets, whereas large RE projects are directly financed from the fund. In a bottom-up Gaussian copula framework, we examine the diversification properties and RE exposure of the senior tranche. To this end, we introduce the LH++ model, which combines a homogeneous infinitely granular loan portfolio with a finite number of large loans. Using expected tranche percentage notional (which takes a similar role as the default probability of a loan), tranche prices and tranche sensitivities in RE loans, we analyse the risk profile of the senior tranche. We show how the mix of indirect and direct RE investments in the asset pool affects the sensitivity of the senior tranche to RE investments and how to balance a desired sensitivity with a target credit quality and target tranche size.


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