Abstract

How to improve the performance of cross-border MA some researchers rely on the knowledge-based view and suggest that cross-national distance help acquirers access complementary resources and technological skills, thus improving cross-border acquisition performance; and others apply the theory of information asymmetry to contend that extreme distance or proximity between two nations lead to poor cross-border acquisition performance. Therefore, the answer to the question of how cross-national distance affects cross-border acquisition performance remains unclear.This study attempts to use the Meta-analysis method to make a comprehensive comparative analysis of previous studies, and verify the relationship between cross-national distance (including cultural distance, institutional distance, geographic distance and economic distance) and the performance of cross-border M&As (including market returns at announcement, acquisition completion or not, and long-term performance). In addition, this study takes the direction and timing of cross-national distance into consideration and treats them as two contextual moderators. To ensure the completeness and accuracy of literature collection, this study conducts a rigorous and thorough literature search. Relevant literature comes from two major academic databases – CNKI and Web of Science – and must meet the methodological requirements of Meta-analysis. Eventually, this study selects 44 independent articles, and conducts subsequent coding, measurement and statistics by utilizing the Comprehensive Meta-analysis (CMA) software.Meta-analysis findings show a negative relationship between cross-national distance and cross-border acquisition performance. In addition, the degree of home country’s economic development and the sampling time have significant moderating effects: When the acquirer comes from an emerging market, or when the sampling time is before 2008, the negative relationship between cross-national distance and cross-border acquisition performance will be more prominent. Drawing upon the insights from the Meta-analysis findings, this study identifies three directions for future research by considering industry- and firm-level distance, multi-dimensional distance, and directional distance.

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