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.

There is no consensus regarding the effect of foreign direct investment on market concentration in the literature of foreign direct investment and the theory of industrial organization. The aim of the research is to empirically investigate this impact in the context of the manufacturing sector of Bosnia and Herzegovina. To achieve this aim we estimate the econometric model by applying ordinary least square method. The sample of 21 industries comprising manufacturing sector of Bosnia and Herzegovina was used for model estimation. Cross-sectional sample data was obtained from the Central Bank of Bosnia and Herzegovina and the financial reports of 4924 companies registered in the aforementioned industries for the year 2016. The results suggest that the impact of foreign direct investment on market concentration can best be described with a convex function.

The paper aims to identify patterns and country-specific determinants of intra-industry trade (IIT) in agri-food products between Bosnia and Herzegovina (BiH) and other CEFTA 2006 parties in the period 2008-2018. The purpose of the paper is to contribute to filling the gap in the empirical literature on IIT of the South East European countries, especially in regard to non-manufacturing sectors. To investigate IIT intensity and structure the analysis employed Grubel- Lloyd indices and GHM methodology based on relative unit values. In order to examine the impact of various determinants on IIT in agri-food products, a random-effects Heckman selection model was estimated, following a sector-level approach in the analysis. The analysis indicates a lower level of IIT than expected and a strong dominance of its vertical type in all BiH bilateral relations within CEFTA 2006. The empirical results also suggest that the major determinants positively affecting IIT in agri-food products include the size of the trading economies, the similarity in their ethnic structure, membership in the common regional trade agreement, and common borders. By contrast, the results indicate that IIT is negatively affected by differences between the trading economies in terms of productivity and gross domestic product per capita.

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