The Role of Regional Economic Integrations for Trade Margins: A Case of Croatia

Kejžar, Katja Zajc; Kostevc, Črt; Zaninović, Vinko

doi:10.18045/zbefri.2016.1.11

Cited by 4 publications

(3 citation statements)

References 40 publications

(37 reference statements)

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“…In our research, the theoretical framework to investigate the effects of logistics service performance on international trade is based on the gravity model theory of international trade. Since the pioneer work of Tinbergen (1962), the gravity equations have been frequently used in many trade related research papers during decades (Anderson & van Wincoop, 2004;Behar & Manners, 2008;Bergstrand, 1985Bergstrand, , 1989Frede & Yetkiner, 2017;Host et al, 2019;Krugman, 1991;Zajc Kej zar et al, 2016). We develop the following structural gravity model to estimate the effects of logistics performance differences between trading partners on bilateral trade:…”

Section: Methodsmentioning

confidence: 99%

The effects of logistics performance on international trade: EU15 vs CEMS

Zaninović

Skender

2020

Economic Research-Ekonomska Istraživanja

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Section: Methodsmentioning

confidence: 99%

The effects of logistics performance on international trade: EU15 vs CEMS

Zaninović

Skender

2020

Economic Research-Ekonomska Istraživanja

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“…The estimation of the models was performed with the (2 and 3) Poisson Pseudo-Maximum Likelihood Estimator (PPML), originally introduced by [36] for gravity models. PPML is often used as an estimator in trade-related estimations [10, 37,38] because it solves the problem of zero values in trade between trading partners by allowing zeros, thus avoiding the potential bias in research results. The dataset consisted of 11.96% observations at the country pair level with zero exports and 41% observations at the country pair level with zero imports.…”

Section: Methodsmentioning

confidence: 99%

Assessing the Effects of Logistics Performance on Energy Trade

2021

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Logistics has become one of the most important economic sectors. It significantly affects the transport infrastructure and many other sectors that are crucial for the country’s development. It is the factor that also influences trade efficiency. However, the question arises if logistics performance is significant for the trade of critical goods which are energy raw products. The aim of the paper is primarily to investigate the EU energy trade flows in general and to estimate the effect of logistics performance on the international trade of energy raw products. The energy raw products are grouped into solid, liquid, and gaseous products, and separate estimates are made for their export and import. The analysis also differentiates between the trade flows, that is export and import within the EU and trade flows between EU member states and third countries. The empirical model is based on the theory of gravity model extended to include the six subcomponents of the Logistics Performance Index (LPI). The results present that: (1) the standard gravity model variables, such as GDPs of reporter and partner countries and contiguity, are successful in explaining the trade flows of solid and liquid raw energy but in case of gas products, are insignificant; (2) the results indicate that all logistics’ performance subcomponents are highly significant and show positive effects on the export of liquid energy products, while for the solid and gas products, it seems to be insignificant when the energy commodities are more complex and costly to transport and store, and therefore, contiguity, i.e., when countries share a common border, positively affects energy trade.; (3) the EU imports most liquid energy products, but is generally very dependent on energy imports. EU policymakers should strive to either make more use of domestic resources or switch more to renewable energy sources

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“…We use difference in sales and lagged values of sales as variables for GMM style instruments, while we us age of the firm and time fixed effects as standard instruments. More about theoretical aspects of system GMM estimator and application of the estimator in Stata statistical software can be found in Roodman (2009), while empirical application can be found in Zajc Kejžar et al (2016).…”

Section: Methodsmentioning

confidence: 99%