Применение новых методов оценки инновационных проектов: модель взвешенной полиномиальной стоимости реального опциона
The paper deals with the influence of the growth opportunities on the company‟ investment policy. The analysis is based on the real options concept. It is shown that in the presence of valuable growth opportunities traditional methods of investment analysis can lead to the bias in the estimate of the investment project efficiency if the risks of the project are assumed to be equal to the risks of company's assets-in-place.
The author investigates the overall evaluation method for APG recovery. The method implies their selection based on oil-and-gas fields parameters, economic assessment with environmental parameters considered as well as their ranking.
In the article the main features of state financing of innovative projects are examined. Major problems faced in defining of sources of financing are stated. Also suggestions on the main mechanisms of state financing of innovative projects are offered.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.