Decomposition approach for examining effects of logistic performance on exports: A case study of Vietnam

Hien Thanh Hoang

Article ID: 3394
Vol 8, Issue 4, 2024

VIEWS - 507 (Abstract) 284 (PDF)

Abstract


The study evaluates to what extent logistics performance and its components impact Vietnam’s bilateral export value. The augmented Gravity model is applied on panel data in the period from 2010 to 2018. Logistics efficiency is measured by Logistic performance index (LPI) and its sub-indices developed by the World Bank. A variety of diagnostic tests and estimation methods are employed to ensure the stability of the results. The main findings confirm that all explanatory variables demonstrate the expected signs, and aggregate logistics performance and its sub-indices have positive impacts on Vietnam’s export flows, with the magnitude of logistics impacts is greater than other factors in the research model. Among LPI components of Vietnam, Ease of arranging shipments index is the most influential factor on exports, followed by Infrastructure, Timeliness, and Quality of logistics services. These export’s effects are also identified by partners’ LPI indicators namely Quality of logistics services, Customs, Infrastructure, and Tracking and tracing.


Keywords


logistics performance index (LPI); logistics component; exports; gravity model; Vietnam

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References


Ahn, S. C., & Schmidt, P. (1995). Efficient estimation of models for dynamic panel data. Journal of Econometrics, 68(1), 5–27. https://doi.org/10.1016/0304-4076(94)01641-c

Anderson, J. E., & van Wincoop, E. (2003). Gravity with Gravitas: A Solution to the Border Puzzle. American Economic Review, 93(1), 170–192. https://doi.org/10.1257/000282803321455214

Arellano, M., & Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. The Review of Economic Studies, 58(2), 277. https://doi.org/10.2307/2297968

Arvis, J.F., Alina Mustra, M., Ojala, L., Shepherd, B., & Saslavsky, D. (2010). Connecting to Compete 2010. https://doi.org/10.1596/24599

Baum, C. F., Schaffer, M. E., & Stillman, S. (2003). Instrumental Variables and GMM: Estimation and Testing. The Stata Journal: Promoting Communications on Statistics and Stata, 3(1), 1–31. https://doi.org/10.1177/1536867x0300300101

Behar A, Manners P. (2008). Logistics and Exports. Centre for the Study of African Economies. University of Oxford, CSAE Working Paper Series.

Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. https://doi.org/10.1016/s0304-4076(98)00009-8

Çelebi, D. (2017). The role of logistics performance in promoting trade. Maritime Economics & Logistics, 21(3), 307–323. https://doi.org/10.1057/s41278-017-0094-4

Chakraborty D, Mukherjee S. (2016). How trade facilitation measures influence export orientation? Empirical estimates with logistics performance index data. Journal of Economics Library, 3(4), 554–569.

Deardorff, A. V. (2011). Determinants of Bilateral Trade: Does Gravity Work in a Neoclassical World? World Scientific Studies in International Economics, 267–293. https://doi.org/10.1142/9789814340373_0024

Felipe, J., & Kumar, U. (2012). The Role of Trade Facilitation in Central Asia. Eastern European Economics, 50(4), 5–20. https://doi.org/10.2753/eee0012-8775500401

Göçer, A., Özpeynirci, Ö., & Semiz, M. (2022). Logistics performance index-driven policy development: An application to Turkey. Transport Policy, 124, 20–32. https://doi.org/10.1016/j.tranpol.2021.03.007

Hausman, W. H., Lee, H. L., & Subramanian, U. (2012). The Impact of Logistics Performance on Trade. Production and Operations Management, 22(2), 236–252. Portico. https://doi.org/10.1111/j.1937-5956.2011.01312.x

Kabak, Ö., Önsel Ekici, Ş., & Ülengin, F. (2020). Analyzing two-way interaction between the competitiveness and logistics performance of countries. Transport Policy, 98, 238–246. https://doi.org/10.1016/j.tranpol.2019.10.007

Kesavan, D. P., & Deif, A. M. (2021). Exploring National Culture Impact on Logistics Performance. Transportation Journal, 60(1), 20–42. https://doi.org/10.5325/transportationj.60.1.0020

Martí, L., Puertas, R., & García, L. (2014). The importance of the Logistics Performance Index in international trade. Applied Economics, 46(24), 2982–2992. https://doi.org/10.1080/00036846.2014.916394

Puertas, R., Martí, L., & García, L. (2013). Logistics performance and export competitiveness: European experience. Empirica, 41(3), 467–480. https://doi.org/10.1007/s10663-013-9241-z

Sy B, Villejo SJ, Lacaza R. (2020). An Analysis of the Impact of ASEAN’s Logistics Performance on Trade Flows Using Linear and Non-linear methods in an Augmented Gravity Model. Logistics Research, 13, 1–22. doi:10.23773/2020_5

Tho NH. (2013). Determinants of Vietnam’s exports: A gravity model approach. Assumption University Bangkok.

Wang, M. L., & Choi, C. H. (2018). How logistics performance promote the international trade volume? A comparative analysis of developing and developed countries. International Journal of Logistics Economics and Globalisation, 7(1), 49. https://doi.org/10.1504/ijleg.2018.090504

Wooldridge JM. (2002). Econometric Analysis of Cross Section and Panel Data. Cambridge, Massachusetts, London, England: The MIT Press.

Wooldridge JM. (2009). Introductory Econometrics: A Modern Approach. the United States of America: South-Western Cengage Learning.

Zaninović, P. A., Zaninović, V., & Skender, H. P. (2020). The effects of logistics performance on international trade: EU15 vs CEMS. Economic Research-Ekonomska Istraživanja, 34(1), 1566–1582. https://doi.org/10.1080/1331677x.2020.1844582




DOI: https://doi.org/10.24294/jipd.v8i4.3394

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