This research analyses the impact of foreign direct investment on greenhouse gas emissions in the agriculture sector of developing countries. Panel data from 63 developing countries for the period 2005 to 2014 was used to estimate a dynamic econometric model by applying a system‐generalised method of moments. The empirical results indicate a positive impact of foreign direct investment in agriculture on the carbon dioxide equivalent emission intensity in developing countries. The results provide weak support for the pollution havens hypothesis and imply the importance of coordination between foreign direct investment and environmental policies.

In this paper, we present a synthesis of the literature examining the impact of foreign direct investment on host country exports. We reviewed and summarised 37 theoretical papers, 27 micro‐level empirical studies and analysed 627 specifications from 117 macro‐level empirical studies. In exploring the reasons behind the variations of the reported effects in the empirical literature, we applied meta‐regression methodology. Our results indicate that the existing empirical literature generally reports a positive impact of foreign direct investment on exports, especially in developing countries. The reported effects are sensitive to research design, model specification and the context of the research. No publication bias was detected in the sampled studies. Based on our results, we provide some avenues and guidelines for future research on this topic. Our results could also have some important implications for policymakers.

Although research of intra-industry trade (IIT) has been intensive in the last several decades, the empirical literature focusing on this phenomenon in the Western Balkans countries remains limited, especially in agricultural sector. Aiming to contribute to the existing literature, the paper analyses patterns and country-specific determinants of IIT in agri-food products between Bosnia and Herzegovina (BiH) and the European Union (EU) during the period of their mutual trade liberalisation (2008-2018). The analysis employs Grubel-Lloyd indices and Greenaway-Hine-Milner methodology for measurement of IIT, and applies an econometric panel data model using a Poisson Pseudo-maximum likelihood approach in order to estimate effects of IIT determinants. The findings suggest that intra-industry agri-food trade of BiH with the EU is of low intensity and mainly of vertical nature, viewed totally and bilaterally. We found significant positive effects of trading countries’ sizes, common border and history on IIT, and negative effects of the geographic distance and differences in agricultural productivity.

The impact of market concentration on profitability is a controversial question in industrial organization without a clear answer. The aim of the research is to investigate this prospective impact in the context of Serbian manufacturing industry. The main hypothesis of the research is that the increase in market concentration increases the profitability in the markets, due to the collusion of the dominant companies. We test this hypothesis by defining, estimating and testing the model describing the impact of structural and other control variables on market profitability by using secondary panel data for 122 markets, observed in 2015 and 2017. We obtained the data from 30 037 financial reports of the manufacturing industry companies. The model was estimated by using an error component two stage least squares estimator (EC2SLS). The results indicate a statistically significant positive impact of market concentration on profitability, empirically supporting the traditional market power hypothesis.

Foreign direct investments have gained prominence in the world during the past several decades. This article explores the factors which have influenced the attraction of foreign direct investments, and the influence of foreign direct investments on economic and social development and the international integration of the Republic of Serbia. Foreign direct investments' flows, structure and effects have been analyzed, by using secondary sources of data and by applying a number of methods, such as historical, descriptive, mathematical-statistical and comparative method.