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252 R. Walz<br />

In addition to exports, which are the basis <strong>of</strong> the RXA, the RCA takes also the<br />

imports m into account <strong>and</strong> is calculated according to:<br />

" , , ! #<br />

X X<br />

RCAij ¼ 100» tanh ln xij mij<br />

All specialization indicators are normalized between +100 <strong>and</strong>–100 (see Grupp,<br />

1998). Positive values indicate an above average specialization on the analyzed<br />

technologies, a negative value shows that the country is more specializing on other<br />

technologies.<br />

Sustainability technologies are neither a patent class nor a classification in the<br />

HS-2002 classification <strong>of</strong> the trade data from the UN-COMTRAD databank which<br />

can be easily detected. Thus, for each technology, it was necessary to identify the<br />

key technological concepts <strong>and</strong> segments. <strong>The</strong>y were transformed into specific<br />

search concepts for the patent data <strong>and</strong> the trade data. This required an enormous<br />

amount <strong>of</strong> work <strong>and</strong> substantial engineering skills. Furthermore, there is a dual use<br />

problem <strong>of</strong> the identified segments. <strong>The</strong> data only indicates that there is a<br />

technological capability which could be used for sustainability—not necessarily<br />

that these technologies are already implemented in a way that the environmental<br />

burden is reduced. Thus, in order to reflect that ambiguity, the term sustainability<br />

technology, which is used in the remainder <strong>of</strong> the text, has to be interpreted as<br />

sustainability relevant technology.<br />

3 General framework conditions for innovations<br />

<strong>The</strong> quantitative data on innovation capacity give a first indication <strong>of</strong> the general<br />

conditions for innovation. Figure 2 indicates that the national R&D intensity or the<br />

share <strong>of</strong> the business expenditures on R&D <strong>of</strong> industry (BERD) is rather different for<br />

the NICs covered. It reaches from very small numbers, e.g. for Indonesia ID) or the<br />

Philippines (PH), to values typical for OECD countries, e.g. for Singapore (SG),<br />

Taiwan (TW), or South Korea (KR). Thus, there is considerable heterogeneity<br />

among the NICs. Among the NICs, particular interest is <strong>of</strong>ten put towards the so<br />

called BICS countries, that is Brazil (BR), India (IN), China (CN) <strong>and</strong> South Africa<br />

(ZA). <strong>The</strong> number for the BICS countries is around average for the analyzed NICs.<br />

However, China has increased the R&D expenditures lately, <strong>and</strong> runs ahead within<br />

BICS. Given the size <strong>of</strong> China, the volume <strong>of</strong> national R&D expenditure <strong>and</strong> BERD<br />

or the number <strong>of</strong> scientists is much higher in China than in the other BICS countries.<br />

Looking at specific numbers with regard to inhabitants, India clearly lacks behind<br />

the other BICS countries.<br />

A second approach for the analysis <strong>of</strong> the general framework conditions uses the<br />

survey data <strong>of</strong> the World Economic Forum (WEF 2006), which is based on expert<br />

opinions. In order to obtain an innovation system index, the indicators are classified<br />

into the categories human <strong><strong>resource</strong>s</strong>, technological absorption, innovation capacity<br />

<strong>and</strong> innovation friendliness <strong>of</strong> regulation. For this index, 56 countries are taken into<br />

account, comprising OECD countries as well as NICs <strong>and</strong> a few developing<br />

countries for which the indivcator values are available. <strong>The</strong> indicator values are<br />

j<br />

xij<br />

j<br />

mij

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