Table 2

Variables and measures

VariablesMeasures
Cross-border acquisition in emerging marketsDichotomous variable
1 = the acquisition is executed in an emerging market
0 = the acquisition is executed in an advanced economy
Context experienceNumber of acquisitions executed in emerging markets at t-1 (since 2000)
Regulatory efficiency distanceDifference in the three regulatory dimensions of business freedom, labour freedom and monetary freedom between Italy and the target countries
Country governance distanceDifference between the Italian political stability score and the target country political stability score
Financial development distanceDifference in the scores of the WEF synthetic measures of “efficiency” and “trustworthiness” of financial markets between Italy and target countries
Cultural distanceKogut and Singh (1988) formula applied to the nine dimensions of culture of the Globe project
Acquirer listingDichotomous variable
1 = the acquiring company is listed
0 = otherwise
Acquirer sizeLogarithm of the acquiring firm’s total assets at t-1
Acquirer liquidityDifference between current assets and inventory divided by current liabilities at t-1
Acquirer pre-deal performanceAcquiring firm’s return on assets at t-1
Geographic experienceNumber of cross-border acquisitions executed in the same target area of the focal acquisition at t-1, based on 11 geographic areas (EU 15, other EU countries, other European countries, Russia, Central and South America, North America, China, other Asian countries, Middle East, Africa, others)
Target market sizeWEF measure the size of the domestic market (natural log of the sum of the PPP–adjusted GDP + imports – exports) and the size of the foreign market (natural log of exports)
Geographic distanceDistance in kilometers between the capitals of Italy and the target countries
Business relatednessDichotomous variable
1 = match between the 4-digit NAICS codes of acquirer and target
0 = no match
Time effectsOne dummy variable for each year of observation (11 variables with 2008 as the baseline year)
Industry effectsOne dummy variable for each industry of observation (manufacturing, trade, services, utilities, others, with manufacturing as the baseline category)

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