Increasing the Efficiency of State Institutional Aid to Small Innovative Enterprises
Bibliographic Data
| ID | 12968009 |
|---|---|
| Authors | Sergey Vasin (0000-0002-0371-5517, Penza State University, corresponding author), Leyla Gamidullaeva (0000-0003-3042-7550, Penza State University) |
| Year | 2015 |
| Volume | 7 |
| Issue | 11 |
| Publication date | 2015-06-26 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Review of European Studies (JOURNAL) |
| Journal identifiers | ISSN: 1918-7173 • E-ISSN: 1918-7181 |
| Publisher | Canadian Center of Science and Education (PUBLISHER) |
| DOI | 10.5539/res.v7n11p77 |
| OpenAlex | W2125398271 |
| Language | EN |
| References cited | 2 |
This article is devoted to solving the urgent problem of low efficiency of state support system for small innovative enterprises. The development of this sector is essential for the future of Russian economy. The recent economic crisis has only reinvigorated the debate. In generally our paper is concerned with studying the specific factors that influenced a SE’s behavior to be involved in innovation process. This paper elaborates a methodological approach for systematically identifying and estimating institutional factors in the system of small innovative business. The authors have developed a method of assessing the effectiveness of the state support system at the regional level, which makes it possible to evaluate the actual level of performance management in a particular region and to identify existing reserves. Correlation and regression analysis, which allows identifying the most important factors that have the greatest influence on the efficiency of the system of state support in the sector. In addition, proposed correlation and regression models are developed. Application of this method in the practice of public administration of SMEs will take into account the influence of qualitative factors in evaluating the effectiveness of the system as a whole
Business · Economic system · Economics · Environmental economics · Industrial organization · Process (computing · Process management · Regression analysis · State (computer science · Computer Science · EU Law and Policy Analysis · Innovation Policy and RD · Regional Development and Policy
| Highly cited | No |
|---|