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110        Carleen F. Maitland and Johannes M. Bauer


            higher teledensity, higher school enrollment). By using this sub-sam-
            ple it may be possible to control for the influences of these variables.
                Of these forty-eight countries some adopted the Internet earlier
            than others. To reflect this aspect of growth a measure was devised
            that took the percent adoption achieved by 1997 and multiplied it by
            the reverse-coded START variable. Therefore, countries achieving
            higher adoption percentages in fewer number of years will have a
            higher growth score. The growth measure also controls for country
            size as the percentage adoption figure is based on the number of
            phone lines which partially reflects a country’s size. 17
                The growth measure is most easily understood by examining a
            few diffusion curves and their scores. Figure 2 displays diffusion
            curves of six countries, four having started their growth in 1991
            (France, Germany, the UK and US), the Philippines in 1992, and
            Costa Rica in 1993. The graph shows that of the four countries that
            started their growth in 1991 (France, Germany, the UK and US), the
            growth figures are highest for the country having achieved the high-
            est adoption percentage (the US). Comparing the growth measures
            for France and the Philippines one finds they are both 0.02, although
            on the graph the growth of France is a bit higher. They are given the
            same growth score because France, although having achieved higher
            adoption, had a longer period of time to do so. On the graph France
            and Costa Rica have nearly the same diffusion pattern. However,


                                       Figure 2
                 Comparing the Growth Variable Among Countries
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