Olena Palyvoda

The interrelation between the innovation activity of enterprises and various types of network cooperation is of practical importance for the effective strategic management of network structures. In the present study, on the basis of indicators that measure innovation and technological effects and are adapted to the standards of statistics of the EU countries, the weighted aggregate innovation index of light industry companies in Ukraine and the EU countries is justified and calculated. On the basis of correlation and regression analysis, the relationships of varying strength are established between the integrated innovation index and different types of network innovative cooperation of light industry companies of the EU countries. The high-strength relationship is revealed between the innovation index of light industry and the indicators of the share of companies that had partners within their group of companies; that were involved in any type of network innovation partnership; that had partners in innovative cooperation among universities; that were involved in any type of partnership with a foreign partner from the EU countries, the EFTA countries or the candidate countries for accession to the EU. The construction of a correlation-regression model of the dependence of the innovation index of light industry on the share of innovation-active companies involved in any type of network innovation partnership and the share of innovation-active companies involved in network cooperation with a foreign partner from the EU countries, the EFTA countries or the candidate countries for accession to the EU given the possibility to predict the level of innovation of domestic companies of light industry depending on the level of their involvement in different types of network innovative cooperation.

Ukraine’s European integration requires the involvement of seaports in the international TEN-T network, so it is extremely important to create favorable investment conditions to develop port infrastructure. This study aims to make a comprehensive assessment of the seaports’ investment attractiveness to use it for increasing the efficiency of attracting investment in the development of Ukrainian seaports, which are part of the European transport network. The study was conducted using the Saati method and the method of calculating the integrated indicator of seaports’ investment attractiveness. The integrated indicator includes assessing indicators of business activity in the region and consolidated indicators of financial and property status, logistical attractiveness, and prospects for port development. According to the results of calculations, the seaports of Ukraine were divided into three groups. The ports of Yuzhne, Odesa, Illichivsk, and Mykolaiv have a high level of investment attractiveness. The ratio of investment attractiveness ranges from 3 to 2.6. The ports of Izmail, Mariupol, Oktyabrsk, and Kherson have an average level (ratio from 2.2 to 1), and other ports have a low investment attractiveness (coefficient from 0.9 to 0.7).