Power: The missing link in the trade conflict relationship

Jun Xiang; Xiaohong Xu; George Keteku

doi:10.1177/0022002707302802

Power: The missing link in the trade conflict relationship

Jun Xiang, Xiaohong Xu, George Keteku

Research output: Contribution to journal › Article › peer-review

43 Scopus citations

Abstract

We join the debate on trade interdependence and conflict with a reexamination of Barbieri's (1996) intriguing empirical results showing that under certain circumstances, trade interdependence causes conflict. We argue that these findings resulted from a specification that was missing a variable. We return to Barbieri's models and introduce two independent power measures for countries within each dyad. When a correctly specified trade-conflict regression model incorporating the new power variables is performed, the constraining effect of interdependence becomes evident, and the results obtained are the reverse of Barbieri's.

Original language	English (US)
Pages (from-to)	646-663
Number of pages	18
Journal	Journal of Conflict Resolution
Volume	51
Issue number	4
DOIs	https://doi.org/10.1177/0022002707302802
State	Published - Aug 2007
Externally published	Yes

All Science Journal Classification (ASJC) codes

General Business, Management and Accounting
Sociology and Political Science
Political Science and International Relations

Keywords

Conflict
Military power
Omitted variable bias
Trade interdependence
Trade measurement

Access to Document

10.1177/0022002707302802

Cite this

@article{c591153b96934d858ad3508c23b8f2ec,

title = "Power: The missing link in the trade conflict relationship",

abstract = "We join the debate on trade interdependence and conflict with a reexamination of Barbieri's (1996) intriguing empirical results showing that under certain circumstances, trade interdependence causes conflict. We argue that these findings resulted from a specification that was missing a variable. We return to Barbieri's models and introduce two independent power measures for countries within each dyad. When a correctly specified trade-conflict regression model incorporating the new power variables is performed, the constraining effect of interdependence becomes evident, and the results obtained are the reverse of Barbieri's.",

keywords = "Conflict, Military power, Omitted variable bias, Trade interdependence, Trade measurement",

author = "Jun Xiang and Xiaohong Xu and George Keteku",

note = "Funding Information: would like to thank the National Science Council, the Republic of nancial support of this research under Grant NSC85-2213-E006-051.",

year = "2007",

month = aug,

doi = "10.1177/0022002707302802",

language = "English (US)",

volume = "51",

pages = "646--663",

journal = "Journal of Conflict Resolution",

issn = "0022-0027",

publisher = "SAGE Publications Inc.",

number = "4",

}

TY - JOUR

T1 - Power

T2 - The missing link in the trade conflict relationship

AU - Xiang, Jun

AU - Xu, Xiaohong

AU - Keteku, George

N1 - Funding Information: would like to thank the National Science Council, the Republic of nancial support of this research under Grant NSC85-2213-E006-051.

PY - 2007/8

Y1 - 2007/8

N2 - We join the debate on trade interdependence and conflict with a reexamination of Barbieri's (1996) intriguing empirical results showing that under certain circumstances, trade interdependence causes conflict. We argue that these findings resulted from a specification that was missing a variable. We return to Barbieri's models and introduce two independent power measures for countries within each dyad. When a correctly specified trade-conflict regression model incorporating the new power variables is performed, the constraining effect of interdependence becomes evident, and the results obtained are the reverse of Barbieri's.

AB - We join the debate on trade interdependence and conflict with a reexamination of Barbieri's (1996) intriguing empirical results showing that under certain circumstances, trade interdependence causes conflict. We argue that these findings resulted from a specification that was missing a variable. We return to Barbieri's models and introduce two independent power measures for countries within each dyad. When a correctly specified trade-conflict regression model incorporating the new power variables is performed, the constraining effect of interdependence becomes evident, and the results obtained are the reverse of Barbieri's.

KW - Conflict

KW - Military power

KW - Omitted variable bias

KW - Trade interdependence

KW - Trade measurement

UR - http://www.scopus.com/inward/record.url?scp=34547478690&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34547478690&partnerID=8YFLogxK

U2 - 10.1177/0022002707302802

DO - 10.1177/0022002707302802

M3 - Article

AN - SCOPUS:34547478690

SN - 0022-0027

VL - 51

SP - 646

EP - 663

JO - Journal of Conflict Resolution

JF - Journal of Conflict Resolution

IS - 4

ER -

Power: The missing link in the trade conflict relationship

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this