user
Instruction
Answer the question based on the provided table.


Table
Table Title: impact of export-market participation on subsequent r&d intensity level, by firm size, using asm data
Table Content:
<table border="1" cellspacing="0">
<tr> <td rowspan="2"> explanatory variables, prior to entry into export markets </td> <td colspan="2"> growth of r&amp;d intensity </td> <td colspan="2"> change in the growth of r&amp;d intensity </td> </tr>
<tr> <td> small firms </td> <td> large firms </td> <td> small firms </td> <td> large firms </td> </tr>
<tr> <td> export-starter dummy </td> <td colspan="4">  </td> </tr>
<tr> <td> coefficient </td> <td> 0.052 </td> <td> 0.236 </td> <td> 0.043 </td> <td> -0.173 </td> </tr>
<tr> <td> standard error </td> <td> 0.020 </td> <td> 0.247 </td> <td> 0.029 </td> <td> 0.186 </td> </tr>
<tr> <td> extramural r&amp;d dummy, using asm data </td> <td colspan="4">  </td> </tr>
<tr> <td> coefficient </td> <td> -0.045 </td> <td> -0.337 </td> <td> -0.009 </td> <td> 0.018 </td> </tr>
<tr> <td> standard error </td> <td> 0.014 </td> <td> 0.191 </td> <td> 0.022 </td> <td> 0.086 </td> </tr>
<tr> <td> relative extramural r&amp;d intensity, using asm data </td> <td colspan="4">  </td> </tr>
<tr> <td> coefficient </td> <td> -0.041 </td> <td> 0.004 </td> <td> -0.017 </td> <td> -0.043 </td> </tr>
<tr> <td> standard error </td> <td> 0.005 </td> <td> 0.010 </td> <td> 0.013 </td> <td> 0.018 </td> </tr>
<tr> <td> foreign-owned </td> <td colspan="4">  </td> </tr>
<tr> <td> coefficient </td> <td> 0.026 </td> <td> -0.071 </td> <td> 0.015 </td> <td> -0.217 </td> </tr>
<tr> <td> standard error </td> <td> 0.046 </td> <td> 0.173 </td> <td> 0.077 </td> <td> 0.154 </td> </tr>
<tr> <td> age </td> <td colspan="4">  </td> </tr>
<tr> <td> coefficient </td> <td> 0.001 </td> <td> -0.005 </td> <td> -0.002 </td> <td> 0.003 </td> </tr>
<tr> <td> standard error </td> <td> 0.001 </td> <td> 0.010 </td> <td> 0.002 </td> <td> 0.007 </td> </tr>
<tr> <td> relative labour productivity </td> <td colspan="4">  </td> </tr>
<tr> <td> coefficient </td> <td> 0.005 </td> <td> 0.030 </td> <td> 0.009 </td> <td> 0.009 </td> </tr>
<tr> <td> standard error </td> <td> 0.009 </td> <td> 0.041 </td> <td> 0.015 </td> <td> 0.024 </td> </tr>
<tr> <td> relative employment </td> <td colspan="4">  </td> </tr>
<tr> <td> coefficient </td> <td> 0.007 </td> <td> -0.004 </td> <td> -0.003 </td> <td> 0.003 </td> </tr>
<tr> <td> standard error </td> <td> 0.006 </td> <td> 0.005 </td> <td> 0.009 </td> <td> 0.006 </td> </tr>
<tr> <td> number of observations </td> <td> 16,843 </td> <td> 576 </td> <td> 16,843 </td> <td> 576 </td> </tr>
<tr> <td> r-squared </td> <td> 0.048 </td> <td> 0.098 </td> <td> 0.005 </td> <td> 0.059 </td> </tr>
<tr> <td> adusted r-squared </td> <td> 0.04670 </td> <td> 0.05330 </td> <td> 0.00361 </td> <td> 0.01240 </td> </tr>
</table>


Question
what the two types of firms did the asm sample divide into?


Answer Format
The final answer should be concise and use the following format:
```json
{
    "answer": [
        "answer1",
        "answer2",
        ...
    ]
}
```
rule
["small firms", "large firms"]