scholarly journals Patterns and determinants of intra-industry trade in agri-food products between Bosnia and Herzegovina and CEFTA 2006

2021 ◽  
Vol 66 (229) ◽  
pp. 7-35
Author(s):  
Snjezana Brkic ◽  
Radovan Kastratovic ◽  
Mirela Abidovic-Salkica

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.

2021 ◽  
Vol 16 (2) ◽  
pp. 53-67
Author(s):  
Snježana Brkić ◽  
Radovan Kastratović ◽  
Mirela Abidović Salkica

Abstract 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.


Author(s):  
Oleh Bulka

The article is devoted to the particularity of Canada-Mexico bilateral relations in the period from their beginning to signing and entry into force the North American Free Trade Agreement (NAFTA). It is noted that from the time of first contacts bilateral relations between two countries have developed unevenly with periods of increase and periods of decline. It is determined that in the history of Canada-Mexico relations before signing NAFTA can be identified four main periods. The first one is a period of early contacts that lasted from the end of XIX century to the establishment of the official diplomatic relations between Canada and Mexico in 1944. In this period of time ties between the two countries were extremely weak. The second period lasted from 1944 to the end of the 1960s. This period clearly shows the limits of cooperation between Canada and Mexico after the establishment of the official diplomatic ties, but it is also possible to see a certain coincidence between the values and diplomatic strategies of these countries. The third period of Canada-Mexico relations lasted from the beginning of the 1970s to the end of the 1980s. During this period, both Canada and Mexico try to diversify their foreign policy and strengthen the organizational mechanism of mutual cooperation. But it is also shown that despite the warm political rhetoric, there was some distance in Canada-Mexico relations. The fourth period of the relations lasted from the late 1980s until the NAFTA treaty came into force in 1994. At that time Canadian and Mexican governments began to give priority to economic relations over political and diplomatic ones. It was revealed that the main influencing factors of bilateral relations between Mexico and Canada were the impact of third countries, especially the United Kingdom and the United States, regional and global economic conditions, and the attitude to the bilateral relations of the political elites of both countries.


2017 ◽  
Vol 3 (3) ◽  
pp. 154
Author(s):  
Vesna Mrdalj

This paper aims to contribute to a better understanding of the structure and determinants of intra –industry trade specialization in agro food sector of Bosnia and Herzegovina over the transition period. The empirical analysis based on calculation of the following indicators: Grubel – Lloyd index (GL), Revealed Comparative Advantages (RCA indicator) and Relative unit value (RUV indicator). In order to show the level of intra-industry trade specialisation and to examine comparative advantages at sectoral level, as well for individual product group, are calculated Grubel – Lloyd index and RCA indicator. RUV indicator is used for analysis of two components of total intra-industry trade (TIIT); horizontal intra – industry trade (HIIT) and vertical intra- industry trade (VIIT) of agro-food products in Bosnia and Hercegovina. The analysis and calculations of above mentioned indicators are conducted using the data about international trade of agro-food products in Bosnia and Hercegovina for period of time 2008-2015, as well data at 4 – digit level, classified according to HS (Harmonised System). The final analysis in this paper is finished through applying K - means cluster analysis. K - means method was used for identificiation of different clusters of agricultural and food commodity groups related to comparative advantages, level of specialization in intra – industry trade, as well as the ratio between unit value export and unit value import. The emprical results indicated that GL index for observed period at sectoral level is lower than 50 %. The values of RCA indicator for agro-food sector of Bosnia and Herzegovina in international trade and to important trade markets indicate lack of comaparative advantages. In the structure of intra – industry trade is dominated vertical specialization.


2018 ◽  
Vol 47 (6) ◽  
pp. 1201-1222 ◽  
Author(s):  
Zhongsheng Wu ◽  
Rong Zhao ◽  
Xiulan Zhang ◽  
Fengqin Liu

The impact of social capital on philanthropy has been studied extensively, but existing research fails to measure social capital consistently and completely. Using a representative data set from the 2013 Survey on Philanthropic Behaviors of Urban Citizens in China, this study first expanded existing social capital measurements to be more comprehensive, consisting of civic networks, norms of reciprocity, institutional trust, acquaintance trust, and stranger trust. Tobit regression and Heckman selection model were then used to explore the impact of social capital on philanthropy in China. Regression analyses indicate that civic network, norms of reciprocity, institutional trust, and stranger trust are positively associated with both volunteering and giving in the Chinese context. In addition, acquaintance trust is negatively correlated with giving, but has no significant association with volunteering. These findings provide insights to better understanding the complex relationship between social capital and philanthropy, especially in non-Western contexts.


2020 ◽  
Vol 15 (2) ◽  
pp. 124-139
Author(s):  
Amela Omerašević ◽  
Jasmina Selimović

AbstractThis paper investigates the impact of risk classification on life insurance ratemaking with particular reference to Bosnia and Herzegovina (BiH). The research is based on a sample of over eighteen thousand insurance policies for passenger vehicles collected over the period 2015-2020. In our empirical investigation we develop a standard risk model based on the application of Poisson Generalized linear models (GLM) for claims frequency estimate and Gamma GLM for claim severity estimate. The analysis reveals that GLM does not provide a reliable parameter estimates for Multi-level factor (MLF) categorical predictors. Although GLM is widely used method to deter insurance premiums, improvements of GLM by using the data mining methods identified in this paper may solve practical challenges for the risk models. The popularity of applying data mining methods in the actuarial community has been growing in recent years due to its efficiency and precision. These models are recommended to be considered in BiH and South East European region in general.


2017 ◽  
Vol 8 (1) ◽  
pp. 154
Author(s):  
Vesna Mrdalj

This paper aims to contribute to a better understanding of the structure and determinants of intra –industry trade specialization in agro food sector of Bosnia and Herzegovina over the transition period. The empirical analysis based on calculation of the following indicators: Grubel – Lloyd index (GL), Revealed Comparative Advantages (RCA indicator) and Relative unit value (RUV indicator). In order to show the level of intra-industry trade specialisation and to examine comparative advantages at sectoral level, as well for individual product group, are calculated Grubel – Lloyd index and RCA indicator. RUV indicator is used for analysis of two components of total intra-industry trade (TIIT); horizontal intra – industry trade (HIIT) and vertical intra- industry trade (VIIT) of agro-food products in Bosnia and Hercegovina. The analysis and calculations of above mentioned indicators are conducted using the data about international trade of agro-food products in Bosnia and Hercegovina for period of time 2008-2015, as well data at 4 – digit level, classified according to HS (Harmonised System). The final analysis in this paper is finished through applying K - means cluster analysis. K - means method was used for identificiation of different clusters of agricultural and food commodity groups related to comparative advantages, level of specialization in intra – industry trade, as well as the ratio between unit value export and unit value import. The emprical results indicated that GL index for observed period at sectoral level is lower than 50 %. The values of RCA indicator for agro-food sector of Bosnia and Herzegovina in international trade and to important trade markets indicate lack of comaparative advantages. In the structure of intra – industry trade is dominated vertical specialization.


Author(s):  
Kyujin Jung ◽  
Minsun Song

Abstract Natural and technical disasters are abrupt and have a huge impact on relatively broad regions, yet little research has examined how local organizations overcome institutional collective action dilemmas in collaborative emergency management. Since simply participating in collective agreements and adopting coordination plans are inadequate for achieving effective collaboration in emergency situations, this research aims to test whether organizations’ decisions to engage in joint emergency programs are sufficient for building resilient emergency response networks. We systemically design a Heckman selection model with two stages by utilizing data derived from the 2012 and 2013 emergency management surveys conducted before and after the 2012 Korean typhoons. The results demonstrate how a strong commitment though participation in joint exercises significantly influences disaster than formal planning and network affiliations. The findings imply that network interactions forged by such full-scale exercises reduce transaction costs of collaboration and improve community resilience.


CEPAL Review ◽  
2014 ◽  
Vol 2014 (114) ◽  
pp. 83-100 ◽  
Author(s):  
Jorge Alberto A. López ◽  
Óscar M. Rodil ◽  
Saúl G. Valdez

e-Finanse ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 67-76
Author(s):  
Piotr Bartkiewicz

AbstractThe article presents the results of the review of the empirical literature regarding the impact of quantitative easing (QE) on emerging markets (EMs). The subject is of interest to policymakers and researchers due to the increasingly larger role of EMs in the world economy and the large-scale capital flows occurring after 2009. The review is conducted in a systematic manner and takes into consideration different methodological choices, samples and measurement issues. The paper puts the summarized results in the context of transmission channels identified in the literature. There are few distinct methodological approaches present in the literature. While there is a consensus regarding the direction of the impact of QE on EMs, its size and durability have not yet been assessed with sufficient precision. In addition, there are clear gaps in the empirical findings, not least related to relative underrepresentation of the CEE region (in particular, Poland).


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