Variables and measures
| Variables | Measures |
|---|---|
| Cross-border acquisition in emerging markets | Dichotomous variable 1 = the acquisition is executed in an emerging market 0 = the acquisition is executed in an advanced economy |
| Context experience | Number of acquisitions executed in emerging markets at t-1 (since 2000) |
| Regulatory efficiency distance | Difference in the three regulatory dimensions of business freedom, labour freedom and monetary freedom between Italy and the target countries |
| Country governance distance | Difference between the Italian political stability score and the target country political stability score |
| Financial development distance | Difference in the scores of the WEF synthetic measures of “efficiency” and “trustworthiness” of financial markets between Italy and target countries |
| Cultural distance | Kogut and Singh (1988) formula applied to the nine dimensions of culture of the Globe project |
| Acquirer listing | Dichotomous variable 1 = the acquiring company is listed 0 = otherwise |
| Acquirer size | Logarithm of the acquiring firm’s total assets at t-1 |
| Acquirer liquidity | Difference between current assets and inventory divided by current liabilities at t-1 |
| Acquirer pre-deal performance | Acquiring firm’s return on assets at t-1 |
| Geographic experience | Number 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 size | WEF 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 distance | Distance in kilometers between the capitals of Italy and the target countries |
| Business relatedness | Dichotomous variable 1 = match between the 4-digit NAICS codes of acquirer and target 0 = no match |
| Time effects | One dummy variable for each year of observation (11 variables with 2008 as the baseline year) |
| Industry effects | One dummy variable for each industry of observation (manufacturing, trade, services, utilities, others, with manufacturing as the baseline category) |
| Variables | Measures |
|---|---|
| Cross-border acquisition in emerging markets | Dichotomous variable |
| Context experience | Number of acquisitions executed in emerging markets at t-1 (since 2000) |
| Regulatory efficiency distance | Difference in the three regulatory dimensions of business freedom, labour freedom and monetary freedom between Italy and the target countries |
| Country governance distance | Difference between the Italian political stability score and the target country political stability score |
| Financial development distance | Difference in the scores of the WEF synthetic measures of “efficiency” and “trustworthiness” of financial markets between Italy and target countries |
| Cultural distance | |
| Acquirer listing | Dichotomous variable |
| Acquirer size | Logarithm of the acquiring firm’s total assets at t-1 |
| Acquirer liquidity | Difference between current assets and inventory divided by current liabilities at t-1 |
| Acquirer pre-deal performance | Acquiring firm’s return on assets at t-1 |
| Geographic experience | Number 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 size | WEF 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 distance | Distance in kilometers between the capitals of Italy and the target countries |
| Business relatedness | Dichotomous variable |
| Time effects | One dummy variable for each year of observation (11 variables with 2008 as the baseline year) |
| Industry effects | One dummy variable for each industry of observation (manufacturing, trade, services, utilities, others, with manufacturing as the baseline category) |
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