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DHL Global Connectedness Index 2014

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<strong>DHL</strong> <strong>Global</strong> <strong>Connectedness</strong> <strong>Index</strong> <strong>2014</strong><br />

59<br />

The expanding international interactions of emerging<br />

economies are reshaping the geography of global connectedness.<br />

Breadth—particularly in advanced economies—<br />

is on a declining trend. The distributions of advanced<br />

economies’ international interactions have not kept up<br />

with the shift of economic activity to emerging economies.<br />

This, to some extent, reflects the effects of distance and<br />

cross-country differences that have always restrained<br />

international interactions. However, it also suggests that<br />

advanced economies may be missing out on growth opportunities<br />

in emerging markets.<br />

Even as breadth has declined, however, the average distance<br />

traversed by the flows and stocks measured on the<br />

<strong>DHL</strong> <strong>Global</strong> <strong>Connectedness</strong> <strong>Index</strong> has increased. In 2005, the<br />

weighted average distance traversed by all of the components<br />

of the index was 4,647 kilometers (2,888 miles). By<br />

2013, their average distance had increased 6% to 4,904 kilometers<br />

(3,047 miles). The proportion of interactions taking<br />

place within regions has also declined, and countries’ flows<br />

and stocks have become spread out more evenly across<br />

partner countries (their concentration has fallen). These<br />

measures—which unlike breadth capture absolute changes<br />

rather than changes relative to the theoretical benchmark<br />

of a world in which distance doesn’t matter—point to international<br />

interactions becoming more rather than less global.<br />

This chapter first introduces measures of the distributions<br />

of countries’ international interactions and relates them<br />

to the shift of economic activity to emerging economies.<br />

Then, changes since 2005 on each of the measures are<br />

examined at the level of individual index components.<br />

The chapter then highlights a set of differences between<br />

advanced and emerging economies that can help to understand<br />

why breadth is declining in advanced economies. It<br />

concludes with a brief discussion of what business leaders<br />

and policymakers in those economies could do to broaden<br />

their countries’ global connectedness.<br />

A Growing and Shifting Globe Reshapes <strong>Global</strong><br />

<strong>Connectedness</strong><br />

Measures of the distributions of countries’ international<br />

interactions complement the depth measures presented<br />

in the previous chapter. They represent the second leg of<br />

the 3-D (depth, distribution, directionality) approach to<br />

measuring globalization described in Chapter 1. Depth<br />

measures indicate that only a small proportion of the interactions<br />

that could take place either within or across borders<br />

are international. Distribution measures take the essential<br />

next step of examining the extent to which the interactions<br />

that do cross national borders are globally distributed.<br />

As complex and multi-dimensional phenomena themselves,<br />

the distributions of countries’ international interactions<br />

among partner countries can be measured in<br />

a variety of ways, and different measures can move in<br />

different directions. This chapter begins with and gives<br />

primary emphasis to the breadth measure that is used in<br />

the calculation of the <strong>DHL</strong> <strong>Global</strong> <strong>Connectedness</strong> <strong>Index</strong>.<br />

Then, alternative measures are also provided to round out<br />

a more complete picture of the changing distributions of<br />

countries’ international interactions. Since these shifts have<br />

not previously been analyzed, the treatment is, inevitably,<br />

somewhat complex.<br />

Breadth measures the distributions of countries’ international<br />

interactions among partner countries relative to<br />

what those distributions would be in a world where crosscountry<br />

differences and distances had no impact at all.<br />

A country would earn the highest possible breadth score<br />

for exports, for example, if its exports were distributed<br />

among destinations in exact proportion to the rest of the<br />

world’s imports. At the opposite extreme, if all of a country’s<br />

exports were destined for a single country that did not<br />

import from any other country, it would receive the lowest<br />

possible breadth score.

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