12.10.2013 Views

PDF, GB, 56 p., 1,3 Mo - Femise

PDF, GB, 56 p., 1,3 Mo - Femise

PDF, GB, 56 p., 1,3 Mo - Femise

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Table 5b then reports on the results for the same set of experiments but where for the<br />

exports/output, EU export share, intermediates over output, and intermediate import<br />

share variables we have used weighted averages. As before, in the first two<br />

regressions we include all the variables of interest. In the second two regressions we<br />

drop the exports/output variable because we consider it to be unreliable. In the final<br />

pair of regressions we also drop the CTH criterion.<br />

The results are broadly highly comparable in terms of magnitude and sign to those<br />

reported on above. However, generally the statistical significance of the results is<br />

somewhat lower. The principle exception to this is with regard to the share of<br />

intermediate imports by industry. Here we find that the higher is the share of<br />

intermediate imports of a given industry typically the lower is the degree of<br />

restrictiveness of the rules of origin. It is important to note here that out measure is the<br />

share of intermediate imports of a given industry, and not by a given industry. For<br />

example, we measure the amount of intermediate import of Transport Equipment for<br />

each country, but we do not know in which industry those intermediates are then<br />

employed. The negative coefficient on this variable thus suggests that for industries<br />

where intermediate imports tend to be high, the degree of restrictiveness of rules of<br />

origin tends to be low. This might suggest that the key intermediate import industries<br />

are not those where the countries have a comparative advantage, and are thus not the<br />

industries which the countries principally export, and where then rules of origin are<br />

important.<br />

Table 5b: The driving factors behind restrictive rules of origin with<br />

explanatory variables based on weighted averages.<br />

5 6 7 8 9 10<br />

WLS Robust WLS Robust WLS Robust<br />

EU tariff 0.011 0.009 0.012 0.01 0.016 0.015<br />

-0.37 -0.4 -0.31 -0.38 (0.18) (0.16)<br />

exports/output 0.346 0.42<br />

-0.26 -0.13<br />

EU exports share 0.203 0.282 0.261 0.39 0.134 0.226<br />

-0.68 -0.49 -0.59 -0.36 (0.77) (0.59)<br />

Int/output_VA 2.39 1.<strong>56</strong>8 2.68 1.816 3.630 3.153*<br />

-0.41 -0.46 -0.35 -0.38 (0.17) (0.10)<br />

Intimp. Share_VA -0.518 -0.454* -0.53 -0.471* -0.607 -0.57**<br />

-0.26 -0.09 -0.25 -0.06 (0.18) (0.02)<br />

VA criterion -2.312 -2.011 -2.383 -2.042 -2.598 -2.270*<br />

-0.22 -0.14 -0.21 -0.12 (0.15) (0.09)<br />

CTH criterion -0.571 -0.841* -0.453 -0.721<br />

-0.23 -0.05 -0.33 -0.1<br />

Constant 0.909* 1.307** 1.089* 1.243**<br />

-0.09 -0.01 -0.05 -0.02<br />

Observations 125 125 125 125<br />

R-squared 0.12 0.13 0.11 0.12<br />

* significant at 10%; ** significant at 5%; *** significant at 1%<br />

Year dummies omitted from the table; p and robust p values in italics

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!