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author:

Addis, A.K. (Addis, A.K..) [1] | Yu, Y. (Yu, Y..) [2] | Zuping, Z. (Zuping, Z..) [3] (Scholars:朱祖平)

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ESCI Scopus

Abstract:

This study evaluates the trade relations between Ethiopia and China as well as Ethiopia and India, and then compares the bilateral trade volume between them. It also examines the nexus between international trade and economic growth. Panel data were adopted to estimate the impact of China’s and India’s bilateral trade with Ethiopia for the 25 years duration (1990–2015). The gravity model has been employed in order to evaluate and compare the bilateral trade between Ethiopia–China and Ethiopia–India. To examine the collected data SPSS has been employed. The study also outlined three different hypotheses and examined them based on the consistency of the statistical empirical result of the study as well as the positive unconditional coherence with previous academic literature. The result demonstrates the bilateral trade between Ethiopia–China, 0.321, was found to be higher than Ethiopia–India, 0.136. The study’s empirical result also highlights that the influence of geographical proximity alone cannot be a determinant effect on bilateral trade, and discovers a significant linear relationship between a bilateral trade agreement (BTA) and a partner country’s economic size. © 2023 Institute of Chinese Studies, New Delhi.

Keyword:

bilateral trade agreement China Ethiopia India International relations International trade

Community:

  • [ 1 ] [Addis A.K.]School of Business, Hubei University, Hubei, Wuhan, China
  • [ 2 ] [Addis A.K.]Research Center of Open Economy, Hubei University, Hubei, Wuhan, China
  • [ 3 ] [Yu Y.]School of Education, Hubei University, Hubei, Wuhan, China
  • [ 4 ] [Zuping Z.]School of Economics and Management, Fuzhou University, Fujian, Fuzhou, China

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Source :

China Report

ISSN: 0009-4455

Year: 2023

Issue: 3

Volume: 59

Page: 307-326

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JCR@2023

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JCR@2023

JCR Journal Grade:3

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 2

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