scholarly journals Are Economic Distance and Geographic Remoteness Important in Sustainable Trade? Evidence from the Bilateral Trade between China and Kazakhstan

2019 ◽  
Vol 11 (21) ◽  
pp. 6068 ◽  
Author(s):  
Daeheon Choi ◽  
Chune Young Chung ◽  
Jason Young

In this study, we investigate sustainable trade between China and Kazakhstan using the gravity model. We find that the distance between the importer and exporter relative to the distance to other trading partners, rather than the absolute distance, significantly negatively impacts trade volumes. Other factors, such as the structure and availability of free trade zones and unobservable factors related to the characteristics of the checkpoints, also affect trade volumes. To obtain these results, we derive an extended gravity model that considers spatial effects and specific features of the trade between China and Kazakhstan. Thus, we contribute to the fundamental foundations of gravity models.

2021 ◽  
Vol Volume II (December 2021) ◽  
pp. 128-142
Author(s):  
Le Khuong Ninh ◽  
Phan Anh Tu ◽  
Pham Thi Nhu Hao

This study uses the gravity model to investigate the bilateral trade flows between Vietnam and 52 countries from 2001 through 2011. The data are collected from International Trade Centre (ITC), International Monetary Fund (IMF), and the World Bank (WB). The results show that economic size, geographical distance, economic distance, technological innovation, trade openness, free trade agreement, population, exchange rate, and common border affect the bilateral trade flows between Vietnam and these 52 countries. More importantly, this study uses the speed-of-convergence method to find new potential trading partners for Vietnam, such as those in Africa and Southwest Asia.


2016 ◽  
Vol 3 (2) ◽  
pp. 39-46
Author(s):  
Moussa Keita

This study attempts to bring new perspectives on the death of distance hypothesis by examining to what extent the intensification of ICT has contributed to attenuate the effect of distance on international trade issues. Our analysis is based on an extended gravity model constituted of 2827 country pairs observed from 2002 to 2012. The model is estimated by using the Hausman-Taylor instrumental variable approach to deal with specificities of the panel gravity models that cannot be treated in classical fixed-effect or random-effect models. The estimations confirm significant beneficial effects of ICT regarding trade costs reduction. We found that bilateral trade costs are significantly low between countries that have a more densified communication network. And this effect appears to be strongly heterogeneous regarding the distance. In particular, we found that the impact of ICT on trade costs is greater when the distance between the trading partners is more important. We also found that the elasticity of trade costs to distance decreases as the level of ICT increases. These results appear robust to various sensitivity and robustness checks and are consistent with other studies. Finally, the results obtained in this study suggest the existence of strong distance-neutralizing effect of ICT. JEL Classifications Code: F14 ; O33


2012 ◽  
Vol 60 (2) ◽  
pp. 153-157 ◽  
Author(s):  
Mili Roy ◽  
Md. Israt Rayhan

In counterpoint to export growth, Bangladesh import growth has remained much less strong, despite impressive progress in import liberalization. This study gives an overview of different methodologies related to gravity model analysis in Bangladesh’s import flow. A pooled cross section and time series data were analyzed to incorporate the country specific heterogeneity in country pair trading partners. The import flows are justified by the basic gravity model since Bangladesh’s imports are positively significant by the economy size and inversely related to trade barrier. Accordingly, we have analyzed pooled ordinary least square, fixed effect, random effect. This study also explores extended gravity model using several variables in the light of gravity model panel data approach. Bangladesh’s import is determined by the home and foreign country’s gross domestic product and exchange rate. In addition, Cross section results show that regional trade arrangement which is South Asian Association for Regional Co-operation and border are significant for Bangladesh’s importimplies that Bangladesh should import more from intra regional country and also should import from India.DOI: http://dx.doi.org/10.3329/dujs.v60i2.11485 Dhaka Univ. J. Sci. 60(2): 153-157, 2012 (July)  


2019 ◽  
Vol 69 (4) ◽  
pp. 337-344
Author(s):  
Li Huang ◽  
Ke Chen ◽  
Mi Zhou ◽  
Brendan Nuse

Abstract Using export panel data for China and 24 bamboo and rattan trading partners from 2007 to 2017, this study simulates the export trade of Chinese bamboo and rattan products using a gravity model. Our results showed that economic size has a significant positive impact on the bilateral trade of bamboo and rattan products, while absolute distance between two major economic centers and population size have a significant negative impact. Furthermore, relevant Asia-Pacific Economic Cooperation (APEC) trade arrangements have an impact on bamboo and rattan product trade flows from China. Meanwhile, trade of bamboo and rattan between China and APEC countries such as South Korea, Canada, Russia, and Thailand shows much room for growth.


2006 ◽  
Vol 5 (4) ◽  
pp. 351-366 ◽  
Author(s):  
Tan Chuie Hong ◽  
A. Solucis Santhapparaj

AbstractThis paper attempts to further the immigrant-link literature by applying, for the first time, gravity models to Malaysia. Specifically the paper seeks to quantify the impact upon Malaysia's bilateral trade flows of ASEAN and non-ASEAN skilled immigration, and to identify the underlying mechanisms underpinning this relationship. The results indicate that skilled immigration positively affects both the imports and exports of Malaysia. Immigrant-link is stronger between Malaysia and ASEAN countries than to non-ASEAN countries. The magnitude of the elasticity with respect to trade is larger for imports than for exports. Skilled immigrants' demand for native products outweighs the business-links formed between Malaysian trading partners.


2013 ◽  
Vol 1 (1) ◽  
pp. 95-118 ◽  
Author(s):  
MICHAEL D. WARD ◽  
JOHN S. AHLQUIST ◽  
ARTURAS ROZENAS

AbstractThe gravity model, long the empirical workhorse for modeling international trade, ignores network dependencies in bilateral trade data, instead assuming that dyadic trade is independent, conditional on a hierarchy of covariates over country, time, and dyad. We argue that there are theoretical as well as empirical reasons to expect network dependencies in international trade. Consequently, standard gravity models are empirically inadequate. We combine a gravity model specification with “latent space” networks to develop a dynamic mixture model for real-valued directed graphs. The model simultaneously incorporates network dependencies in both trade incidence and trade volumes. We estimate this model using bilateral trade data from 1990 to 2008. The model substantially outperforms standard accounts in terms of both in- and out-of-sample predictive heuristics. We illustrate the model's usefulness by tracking trading propensities between the USA and China.


2019 ◽  
Vol 7 (1) ◽  
pp. 11-19
Author(s):  
Sana Ullah ◽  
◽  
Adiqa Kausar Kiani ◽  
Muhammad Imran ◽  

This paper examines Pakistans trade flows using a gravity model for the period 2002-2015. We have selected the following major trade partners: China, UAE, Saudi Arab, United States, Kuwait, Malaysia, Japan, India, Singapore, Afghanistan and Iran. In this research, we employed static and dynamic econometric approaches. The results from the two approaches are similar, which showed economic size and distance have played a crucial role in bilateral trade. Furthermore, political globalization was found to be significant and played a vital role during the study period. These variables confirm that the theoretical models, Pakistan and Pakistan trade partner with economic masses, political globalization, and distance strongly effect trade liaison


Agriculture ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 338 ◽  
Author(s):  
João Gilberto Mendes dos Reis ◽  
Pedro Sanches Amorim ◽  
José António Sarsfield Pereira Cabral ◽  
Rodrigo Carlo Toloi

Soybean is one of the main sources of protein directly and indirectly in human nutrition, and it is highly dependent on logistics to connect country growers and international markets. Although recent studies deal with the impact of logistics on international trade, this impact in agricultural commodities is still an open research question. Moreover, these studies usually do not consider the influence of all components of the logistics on trade. This paper, therefore, aims at identifying the role of logistics performance in soybean exports among Argentina, Brazil, the US and their trading partners from 2012 to 2018. Using an extended gravity model, we examine whether the indicators of the World Bank Logistics Performance Index (LPI), adopted as a proxy of logistics efficiency, are an important determinant of bilateral soybean trade facilitation. The results lead to the conclusion that it is necessary to analyze the LPI throughout its indicators because they may affect trade differently. The novelty of this article is to provide an analysis of the impact of different logistics aspects on commodity trade, more specifically in the soybean case. Finally, regarding the model results, logistics infrastructure has a positive and significant correlation with soybean trade as supposed in most of the literature.


2021 ◽  
Vol 56 (2) ◽  
pp. 249-256
Author(s):  
Colin Koh-King Wong ◽  
Venus Khim-Sen Liew ◽  
Mohammad Affendy Arip

This article adopts the augmented versions of the Gravity Model to examine the effects of the signing of the ASEAN-China Free Trade Agreement (ACFTA) on the bilateral aggregate trades. Specifically, ACFTA dummy variables are incorporated in the basic model is to estimate the direction and magnitude of the ACFTA effects. A total of 79 trading partners of ASEAN member countries plus China were examined in this article. The study finds that the Gross Domestic Product, population, natural endowment, distance, and common language are the main determining factors of the bilateral trade for ASEAN member countries and their trading partners. Estimated results from this Augmented Gravity Model showed that ACFTA had increased the bilateral aggregate trades not only between intra-bloc member countries but also intra-bloc and extra-bloc countries. With this positive finding, ASEAN and China could consider expanding their free trade area to a broader regional perspective, enhancing economic growth and reducing regional inequality.


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