The article quantifies the sources of manufacturing export growth in Croatia. The research objectives are achieved by applying the constant market share method (C.M.S.) and input–output model. While the C.M.S. method quantifies the factors which explain trends in manufacturing exports, the input–output method quantifies the impacts of manufacturing exports on other domestic sectors. The obtained results show that after the E.U. accession export performance of the Croatian manufacturing industry have substantially improved. The results indicate that a gain in competitiveness in the Croatian manufacturing industry was the most important factor which determined the increasing share of national companies in a period from 2013 to 2015. Besides the manufacturing industry, export growth indirectly contributes to better performance of all domestic producers included in the value added chain of exporters. Indirect effects are the most pronounced for agriculture, trade, transport and business services.

The aim of this paper was to determine the economic impact of the transportation sector on the Croatian economy by using input–output analysis. According to the input–output tables for the Croatian economy for 2004, 2010, 2013, and 2015, output and gross value-added multipliers were calculated. The results of the conducted analysis indicated that the multiplicative effects of the transportation sector in Croatia were significant in the observed period, especially for the air transport sector. Furthermore, comparative multiplier analysis with selected European Union countries was performed to assess the Croatian transportation industry position from an international perspective. Lower output and gross value-added multipliers for the Croatian transportation sector imply that old European Union member states capitalized the transportation sector more for growth and development. The Croatian transportation sector recorded lower imported intermediate inputs, average domestic inputs, and higher value-added multipliers similar to new European Union members. Simulations based on multiplicative effects show that restrictions on movements and human contacts, imposed due to the COVID-19 pandemic, could induce a strong reduction in the economic activity of transport and other sectors that are included in the value-added chain of the transport industry.

This paper tests the hypothesis that incentives for renewable energy sources contribute to economic development in Croatia. The aim of the paper is to quantify the total effects of wind power plant deployment on the Croatian economy in terms of employment and gross value. Indirect and induced effects are spread over the value added chain of producers of investment and intermediate goods and services required for wind power plant deployment and operation. The open input-output model is used for quantifying indirect effects. The closed input output model, which assumes endogenous personal consumption, is applied for quantifying total effects, which includes the effects of induced personal consumption. The gross value added and employment type I and type II multipliers related to wind power plants in Croatia were calculated separately for the investment and intermediate consumption channel. The results show positive indirect and induced effects relating to the deployment of wind power plants in Croatia. They are less pronounced in comparison to previous studies due to the undeveloped domestic production of equipment required for wind power plant deployment. Apart from the manufacturing sector, which produces equipment incorporated into wind power plants, the total effects were significant for construction, transport, and other supporting industries.

Over the past two decades, the issue of regional convergence in the European Union has been the subject of a wide range of empirical research. This paper aims to provide more information on the differences in regional growth patterns of new member states (NMS), as well as Croatia, in addition to the factors influencing regional disparities within each country. This research provides an analysis of regional convergence in the period 2001-2008 at the NUTS II and NUTS III level. The most widely used model for testing convergence hypotheses is beta-convergence analysis. Other factors commonly included in the econometric modelling of convergence are demographic variables, labour market conditions, industrial structure, institutional factors and overall government policy. The main hypothesis is that the process of regional convergence in NMS and Croatia is not strong enough to dominate over other factors, influencing regional potential growth (mainly industry structure and quality of human capital). Absolute β-convergence can be found at the national level for EU countries. Convergence also can be found for NMS regions, but the pace of convergence on the regional level is lower in comparison to the national level and the estimated β-convergence parameter is less significant.