Skip to main content
Login | Suomeksi | På svenska | In English

Browsing by Subject "finance"

Sort by: Order: Results:

  • Kilpi, Joonas (2019)
    This study explores a recently emerged financing innovation, social impact bonds (SIBs). The model of social impact bonds is essentially a financing mechanism with an objective to gather private capital to fund prevention-focused social programs. The model functions by connecting multiple actors into an arrangement, in which each counterparty is incentivized to pursue successfully intervening a social problem. The objective of this study was to synthesize the economic evidence documented in the literature in order to gain a realistic into the feasibility of the SIB model for targeting social welfare issues. The primary research question was: What is the cost-effectiveness and feasibility of SIBs compared to alternative social sector expenditure of public funds? Answers to the research question were sought through a systematic literature review. The search was restricted to English-language papers published between 1 January and 31 March 2019. Both academic papers and grey literature reports were included. A defined set of databases was searched using the search terms social impact bonds AND (cost OR effectiveness OR finance). The titles and abstracts of the identified papers were screened. A paper was excluded from further review, if it did not refer to SIBs or address the primary research question. Of the 520 papers screened, 27 fulfilled the criteria for full-text review. In the full-text review, a paper was excluded, if it was not considered to address the primary research question by providing a systematic approach to the economic aspects of SIBs. A qualitative systematic narrative was created of the finally selected 3 studies. The three selected studies approach from somewhat different angles. Liebman (2011) views SIBs as a potential tool to improve performance of the government agencies and to increase social sector innovation. Goldberg (2017) sees SIBs as a channel to gather financing for evidence-based social programs. Pauly and Swanson (2017) are slightly sceptical about the additional value created by the SIB model and consider the feasibility of SIBs as a financing mechanism strongly context-dependent. These qualitative results indicate that the application of the SIB model has the potential to result in improved social sector performance. While the feasibility of SIBs is viewed to be context-dependent, they are evaluated to lead to improved overall social outcomes by introducing an approach to manage with social problems from the perspective of a longer time horizon.
  • Kuitunen, Petri Viljami (2021)
    The supervisory expectations directed towards banks and other financial institutions to integrate, identify and manage climate-related risks has increased substantially during the past decade. The transition towards a de-carbonized economy creates risks and opportunities for financial institutions. The European Central Bank (ECB) has identified climate-related risks as one of the key drivers in the euro area requiring a forward-looking approach to be taken into consideration while dealing with these risks. One of the main ongoing tasks in the area is the identification and classification of environmentally sustainable activities. The objective of this Master’s thesis is to examine the effect that the reported greenhouse gas (GHG) emissions and the implementation of an emission reduction strategy have on corporate repayment capacity, calculated through external credit ratings. Previous literature has found a relationship between companies’ creditworthiness and environmental factors, but the results vary depending on the applied variables. The typical approach used in prior studies is the application of aggregated values of environmental, social and governance (ESG) factors or limiting the analysis to specific industries or countries. The theoretical framework for this thesis rests mainly on previous academic research on the topic and publications by supervisory bodies. The data comprises 593 corporations from 37 countries operating in different industries over the years 2015-2019. The value of the probability of default (PD) is deployed as a measure of corporate repayment capacity. The climate-related variables and financial ratios were provided by the Carbon Disclosure Project (CDP) and Standard and Poor’s (S&P). The relationship between corporate repayment capacity and the climate-related variables was analysed using a panel data multivariate regression model, specifically the ordinary least squares (OLS) method. The results of this study indicate that emission intensity levels contribute statistically in a negative and significant way to corporate credit ratings, implying that higher levels of emissions lead to a higher PD. On the other hand, having an emission reduction target contributes positively and significantly to corporate repayment capacity, indicating that having this target leads to a lower PD. The analysed climate-related variables were statistically more significant in industries considered to consist of high emitting companies, as opposed to low emitting ones.