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DHL Global Connectedness Index 2014

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86 5. <strong>DHL</strong> <strong>Global</strong> <strong>Connectedness</strong> <strong>Index</strong> Methodology<br />

Figure 5.3. Comparison across <strong>Global</strong>ization <strong>Index</strong>es:<br />

Weights Assigned to Actual Flows/Stocks versus Technological<br />

Connectivity and Policy Enablers<br />

Figure 5.4. Comparison across <strong>Global</strong>ization <strong>Index</strong>es:<br />

Weights Assigned to Aspects of <strong>Global</strong>ization<br />

Measured (matching GCI pillars where possible)<br />

100%<br />

90%<br />

80%<br />

70%<br />

60%<br />

50%<br />

40%<br />

30%<br />

20%<br />

10%<br />

0%<br />

100%<br />

90%<br />

80%<br />

70%<br />

60%<br />

50%<br />

40%<br />

30%<br />

20%<br />

10%<br />

0%<br />

<strong>DHL</strong> GCI E&Y MGI KOF<br />

<strong>DHL</strong> GCI E&Y MGI KOF<br />

Actual Flows/Stocks Technological Connectivity Policy Enablers<br />

Trade Capital Information People Environment<br />

Culture Politics Policies on Trade, Investement, Migration<br />

E&Y and MGI use indicators that we cover on the people<br />

pillar (e.g., tourism) as measures of cultural globalization.<br />

KOF incorporates more narrowly focused cultural variables,<br />

e.g., numbers of IKEA stores and McDonalds restaurants<br />

per capita. However, we question whether those variables<br />

might be too narrow. Thus, McDonalds restaurants account<br />

for less than 0.3% of all the meals sold in the world—a figure<br />

that’s decreasing—and are outnumbered even in America by<br />

meals at Chinese restaurants. Overseas, McDonalds has had<br />

to generate a dizzying array of product adaptations to appeal<br />

to local tastes (ranging from eliminating all beef products<br />

in India to putting spaghetti on the menu in the Philippines<br />

and Caldo Verde soup in Portugal).<br />

Importance-Based Weighting Scheme<br />

Another reason why the <strong>DHL</strong> <strong>Global</strong> <strong>Connectedness</strong> <strong>Index</strong><br />

is more sensitive to changes in the intensity of trade and<br />

capital flows is its weighting scheme. Figure 5.4 compares<br />

the weights used by other indexes with those assigned to the<br />

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

that other indexes assign to topics that are also covered by<br />

our index are shown below the lines that connect the bars,<br />

and topics that other indexes cover but we do not are above<br />

those lines.<br />

The differences in weighting schemes are striking. The KOF<br />

index, for example, assigns less than 4% of its overall weight<br />

to actual trade flows. It assigns a larger weight to income<br />

payments to foreign nationals than to trade, even though<br />

trade flows are at least 5 times larger. Why such stark differences<br />

KOF derives its weights based on a statistical method<br />

designed to maximize the variation captured from its raw<br />

data. While that method does have theoretical appeal in that<br />

it removes human judgment from the process, it can generate—and<br />

in our view has generated—weights that do not<br />

reflect the relative importance users—particularly business<br />

and economic policy users—of an index might attach to<br />

aspects of the phenomenon of globalization.<br />

Both the <strong>DHL</strong> <strong>Global</strong> <strong>Connectedness</strong> <strong>Index</strong> and the E&Y<br />

<strong>Global</strong>ization <strong>Index</strong> use weights that reflect subjective judgments<br />

about the relative importance of distinct aspects of<br />

globalization—ours as described earlier in this chapter and<br />

E&Y’s based on a survey of business executives. E&Y’s sample<br />

of business leaders assigned a 22% weight to trade, 21%<br />

to capital and finance, 21% to exchanges of technology and<br />

ideas (information), and 19% to movement of labor (people),<br />

and 17% to cultural integration, weights that correspond<br />

more closely to those used on the <strong>DHL</strong> <strong>Global</strong> <strong>Connectedness</strong><br />

<strong>Index</strong> than those generated by the KOF index’s statistical<br />

method. 7<br />

Timeliness<br />

The other indexes have significantly longer lags from when<br />

a year ends to when they publish its results. This edition<br />

of the <strong>DHL</strong> <strong>Global</strong> <strong>Connectedness</strong> <strong>Index</strong> is being released<br />

in November <strong>2014</strong>, based mainly on 2013 data (a lag of<br />

11 months). 8 KOF is normally published with a 28-month<br />

lag. E&Y has a 24-month lag relative to the hard data it<br />

presents, but includes projections based on Economist Intelligence<br />

Unit forecasts. MGI is published irregularly, but its<br />

latest edition was released with a 16-month lag. 9<br />

Hard Data Only<br />

Finally, the <strong>DHL</strong> <strong>Global</strong> <strong>Connectedness</strong> <strong>Index</strong> is built up<br />

exclusively from hard data. This contrasts with E&Y, which<br />

incorporates subjective assessments, e.g., of appropriation<br />

risk, generated by Economist Intelligence Unit analysts. The<br />

exclusion of subjective assessments is designed to maximize<br />

the index’s value as an antidote to globaloney. In the words<br />

of the late Daniel Patrick Moynihan, “Everyone is entitled to<br />

his own opinion, but not to his own facts.”

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