Empirical tests of the Marshall–Lerner condition: evidence from Egypt–BRICS commodity trade using ARDL approach

Abstract This study seeks to test the validity of the Marshall–Lerner (M-L) condition between Egypt and BRICS countries (five countries: Brazil, Russia, India, China, and South Africa) to determine which industries will benefit from depreciation in the long run by employing the import and export models between Egypt and the BRICS countries at the bilateral and commodity levels by selecting 69 commodities according to the harmonized system (H.S.) 2-digits—these commodities represent a significant portion of Egypt–BRICS trade—and applying the autoregressive distributed lag (ARDL) bounds test over 2001–2022. The results indicate that the M-L condition is not met at the bilateral trade level. At the commodity level, the M-L condition is held only in 8 out of 69 industries. Egypt has a comparative advantage in five of these eight industries—coded 17, 32, 55, 62, and 96—while 71, 79, and 84 have a comparative disadvantage. However, all these industries’ sizes, reflected by their trade share in 2022, are small. The paper builds on previous theoretical and empirical work in this field and fills a knowledge gap by examining the M-L condition in Egypt–BRICS trade. Moreover, addressing aggregation bias through disaggregated analysis—at the bilateral level as well as at the commodity level—the study results may motivate the government and policymakers to ask for more consideration of the structure of Egypt’s exports and imports with BRICS countries to capture the benefits of devaluation and joining the BRICS bloc and provide comprehensive backing for the industries where the M-L condition was met.

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Publication Details

Journal
Future Business Journal
Published
2024-12-01
DOI
https://doi.org/10.1186/s43093-024-00408-3
Citations
3
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
2.49
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article

Empirical tests of the Marshall–Lerner condition: evidence from Egypt–BRICS commodity trade using ARDL approach

Hebatallah A. Soliman
3 citations
Future Business Journal
Global trade and economics
2.49
article

Empirical tests of the Marshall–Lerner condition: evidence from Egypt–BRICS commodity trade using ARDL approach

Hebatallah A. Soliman
article en
3 citations

Abstract

Abstract This study seeks to test the validity of the Marshall–Lerner (M-L) condition between Egypt and BRICS countries (five countries: Brazil, Russia, India, China, and South Africa) to determine which industries will benefit from depreciation in the long run by employing the import and export models between Egypt and the BRICS countries at the bilateral and commodity levels by selecting 69 commodities according to the harmonized system (H.S.) 2-digits—these commodities represent a significant portion of Egypt–BRICS trade—and applying the autoregressive distributed lag (ARDL) bounds test over 2001–2022. The results indicate that the M-L condition is not met at the bilateral trade level. At the commodity level, the M-L condition is held only in 8 out of 69 industries. Egypt has a comparative advantage in five of these eight industries—coded 17, 32, 55, 62, and 96—while 71, 79, and 84 have a comparative disadvantage. However, all these industries’ sizes, reflected by their trade share in 2022, are small. The paper builds on previous theoretical and empirical work in this field and fills a knowledge gap by examining the M-L condition in Egypt–BRICS trade. Moreover, addressing aggregation bias through disaggregated analysis—at the bilateral level as well as at the commodity level—the study results may motivate the government and policymakers to ask for more consideration of the structure of Egypt’s exports and imports with BRICS countries to capture the benefits of devaluation and joining the BRICS bloc and provide comprehensive backing for the industries where the M-L condition was met.

Future Business JournalVol. 10(1)
Sinai University (EG)
Partnerships for the goals
Openalex Percentile: Top 9%
Global trade and economics
2.49
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