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Developing a suitable mechanism to stimulate the effective redeployment of capital to social activities can be designed using the corporate social responsibility (CSR) concept. Informational asymmetry about the real state of social risks influences the effectiveness of allocations in social protection. Reducing information asymmetries can be achieved by providing the corporations with socially determined risk profiles based on predetermined patterns. Offering concrete lines of action following the risk profiles approach which to base investment decisions of companies in CSR can maximize the results of such a mechanism. In a previous study the authors have developed a theoretical model for determining the poverty risk profile. This study aims to present the practical application of the theoretical model and to provide comments on some errors. Hence, the authors analyzed Buzau county municipalities in presenting the highest risk level determined by the theoretical model and related causes and performed an impact assessment of an investment in CSR based on a model. Specifically, the authors evaluated the impact of reducing the risk of poverty for a suitable investment in CSR. In the second part of the study, the authors analyzed the types of errors that can be found in the municipalities risk profile model due to the granularity of the data. Thus, for the error of over-inclusion, the authors assessed social allocative efficiency at the community level using benchmarking analysis, Data Envelopment respectively and analyzed the data of the under-inclusion error in Buzau county villages. The paper aims to analyze the relative limits on quantitative models and risk of poverty and the practical implementation of these types of models in the development of corporate social responsibility. The study provides also a useful tool which can be made available to companies in order to increase the vulnerable groups’ life quality and the satisfaction of shareholders, stakeholders and related parties following redeployments according to specific CSR mechanisms.

eISSN:
2558-9652
Language:
English