DHL Global Connectedness Index 2014

More documents

Recommendations

Info

90 II. Visualizing Global Connectedness – How to Read the Visualizations Circular Visualization DHL Global Connectedness Index 2014 93 The circle shows the 25 countries with the largest flows or stocks (combined outward and inward) of the index component displayed on the visualization. In the example below, the 25 largest countries based on merchandise trade (exports and imports) are shown. Flows and stocks of countries not in the top 25 are displayed at the regional level. Merchandise Trade Circular Visualization The 10 largest individual flows or stocks are highlighted with a darker color (or more precisely, a higher opacity level). The color of and order in which regions are presented is kept consistent across all of the visualizations, thus allowing readers to compare patterns across different components. Within regions, the largest country is placed in the center, and the surrounding countries are placed in descending order by flow or stock value. Countries and regions are labeled with three-letter codes, which are explained in clockwise order in the legend at the bottom of the page. Below the circle, there is a scaling factor displayed that corresponds to the scale used for the magnitude of the flows or stocks shown. At the bottom of this page, we have expanded the section of the circle representing the United States to further explain the details displayed, using the example of the US’s merchandise trade. Scale: 1:10,000,000,000 Region Label Name Region Label Name North America MEX Mexico Sub-Saharan Africa AF Sub-Saharan Africa USA United States South & Central Asia IND India CAN Canada R-CA Rest of South & Central Asia R-NA Rest of North America East Asia & Pacific MYS Malaysia Europe CHE Switzerland TWN Taiwan (China) RUS Russian Federation HKG Hong Kong SAR (China) Countries and regions are labeled using three letter codes that are explained in the legend below the circular visualization. “R-” refers to “rest of” a given region, and reflects data for the remaining countries in each region. Middle East & North Africa ITA NLD DEU FRA GBR BEL ESP R-EU ARE SAU R-ME Italy Netherlands Germany France United Kingdom Belgium Spain Rest of Europe United Arab Emirates Saudi Arabia Rest of Middle East & North Africa South & Central America, Caribbean JPN CHN KOR SGP AUS THA R-AP BRA R-SA Japan China Korea, Republic Singapore Australia Thailand Rest of East Asia & Pacific Brazil Rest of South & Central America, Caribbean The outer arc and numerical scale represent the total value of outward and inward flows, in this case, the sum of merchandise exports and imports. Multiplying the value shown above the arc times the scaling factor above the legend indicates total US merchandise trade of close to $4 trillion. A second parallel arc represents the value of outward flows (merchandise exports), and is colored according to the regions where the flows are directed. The value of these flows can also be read off of the numerical scale and multiplied times the scaling factor, in this example representing roughly $1.5 trilllion of US exports. Each line (edge) represents a flow between the United States and one partner country or (rest of) region and its thickness is proportional to the value of the flow. The percentage below the country label refers to its depth ratio for a given component, summed across the outward and inward directions. Depth ratios correspond to countries’ total international flows or stocks divided by relevant indicators of the sizes of their domestic economies, as described in Chapter 5. In this example, the US merchandise trade depth ratio of 23% indicates that US merchandise exports and imports add up to 23% of US GDP. Total inward and outward fllows Outward fllows Breakdown colored by region of destination Inward fllows Breakdown colored by region of origin The part of the inner arc following clockwise after the outward flows represents inward flows (merchandise imports in this example). A dashed line has been added here to illustrate the boundary between outward and inward flows Several colors make up total US incoming flows (merchandise imports), since the colors reflect the regions of origin of the imports. The same logic applies to outgoing flows (merchandise exports). In this case they are all blue, since the color is based on the region of origin, North America.
DHL Global Connectedness Index 2014 91 Cartographic Visualization The cartographic visualization complements the circular visualization by displaying countries in their familiar geographic locations. Each map highlights the 50 largest flows or stocks using a darker color (or more precisely, a higher opacity level). Consistent with the circular visualization, each region is assigned a color, and interactions within the region are shown with lines (edges) in that color. Interactions between countries in different regions are shown with gray lines. The thickness of the lines (edges) is proportional to the values of the flows or stocks and the circles are proportional to the combined outward and inward values. To assist with interpretation of the visualizations, below each cartographic visualization there are charts and tables showing the 10 largest interactions between country pairs, the breakdown of flows or stocks between advanced and emerging economies, the average distance traversed by these flows or stocks, and the share of flows or stocks occurring within the regions. A brief explanation of each is presented below. 94 94 II. II. Visualizing Visualizing Global Global Connectedness Connectedness DHL DHL Global Global Connectedness Connectedness Index Index 2014 2014 95 95 Merchandise Merchandise Trade Trade Cartographic Cartographic Visualization Visualization Merchandise Merchandise Merchandise Ten Ten Largest Merchandise Trade Flows Composition: Advanced versus Emerging Economies Average Distance Traversed (km) (Exports) Intra-regional Share of Total (Exports) From To % of total From To of total 1 China United States 2.2% China United States 2.2% 2 Canada United States 1.8% Canada United States 1.8% 3 China Hong Kong SAR (China) 1.7% China Hong Kong SAR 1.7% Not Not Available 3% 3% From From Emerging to to Emerging 17% 17% From Advanced to to Advanced 36% World World Advanced Advanced Economies Economies Emerging Emerging Economies Economies World World Advanced Advanced Economies Economies Emerging Emerging Economies Economies 4 Mexico United States 1.5% 5 United States Canada 1.5% States 6 United States Mexico 1.1% 7 Netherlands Germany 0.9% 8 China Japan 0.9% 9 Rep. of Korea China 0.9% Rep. of 10 10 Japan China 0.8% From Emerging to to Advanced 24% From Advanced to to Emerging 20% East East Asia Asia & Pacific Pacific Europe Middle East East & N. N. Africa North America S. S. & C. C. America, Caribbean South & Central Asia Sub-Saharan Africa 0 2,000 4,000 6,000 8,000 10,000 12,000 East East Asia Asia & Pacific Pacific Europe Europe Middle Middle East East & N. N. Africa Africa North North America S. S. & C. C. America, Caribbean South & Central Asia Asia Sub-Saharan Africa 0% 0% 10% 20% 30% 30% 40% 40% 50% 50% 60% 60% 70% 70% 80% 80% 90% 90% 100% 100% Ten Largest Flows or Stocks Composition: Advanced / Emerging Average Distance Traversed (km) Intra-regional Share of Total This table shows the 10 largest directional flows or stocks and the percentages their values represent of the world total. In the example of merchandise trade, we can see the 10 largest merchandise trade flows and the countries involved in these interactions. Note that this list differs from the 10 highlighted arcs on the circular visualization because it is at the country-pair level, whereas the highlighting also includes arcs connecting to regions and rest-of-region groupings. The pie chart in this section shows the composition of all directional flows based on the classification of countries into advanced and emerging economies. “Not Available” refers to flows or stocks whose origin and destination countries are not reported. In the example, more than a third of all flows occurred among advanced economies and around one-quarter came from emerging to advanced economies. In this case, origins and destinations of only 3% of merchandise trade were unavailable. This chart provides a comparison of the average distance traversed by each flow or stock globally as well as within countries’ levels of economic development and regions. In the example, the average distance traversed by merchandise exports across all countries was around 5,000 km. Emerging economies reported longer distances on average and the opposite holds for advanced economies. This chart parallels the one to the left. This time, however, the value shown corresponds to the percent intra-regional of the given flow or stock. For each country group, the value refers to the share of the flow or stock that goes to countries within the same geographic region, based on the region classifications listed in Appendix B. The chart in the example shows that more than 50% of all merchandise trade flows are between countries within the same region.
Page 1 and 2:
Pankaj Ghemawat and Steven A. Altma
Page 3 and 4:
DHL GLOBAL CONNECTEDNESS INDEX 2014
Page 5 and 6:
DHL Global Connectedness Index 2014
Page 7 and 8:
Page 9 and 10:
Page 11 and 12:
Page 13 and 14:
Page 15 and 16:
Page 17 and 18:
Page 19 and 20:
Page 21 and 22:
Page 23 and 24:
Page 25 and 26:
Page 27 and 28:
Page 29 and 30:
Page 31 and 32:
Page 33 and 34:
Page 35 and 36:
Page 37 and 38:
Page 39 and 40:
Page 41 and 42: DHL Global Connectedness Index 2014
Page 91: DHL Global Connectedness Index 2014
Page 143 and 144:
Page 145 and 146:
Page 147 and 148:
Page 149 and 150:
Page 151 and 152:
Page 153 and 154:
Page 155 and 156:
Page 157 and 158:
Page 159 and 160:
Page 161 and 162:
Page 163 and 164:
Page 165 and 166:
Page 167 and 168:
Page 169 and 170:
Page 171 and 172:
Page 173 and 174:
Page 175 and 176:
Page 177 and 178:
Page 179 and 180:
Page 181 and 182:
Page 183 and 184:
Page 185 and 186:
Page 187 and 188:
Page 189 and 190:
Page 191 and 192:
Page 193 and 194:
Page 195 and 196:
Page 197 and 198:
Page 199 and 200:
Page 201 and 202:
Page 203 and 204:
Page 205 and 206:
Page 207 and 208:
Page 209 and 210:
Page 211 and 212:
Page 213 and 214:
Page 215 and 216:
Page 217 and 218:
Page 219 and 220:
Page 221 and 222:
Page 223 and 224:
Page 225 and 226:
Page 227 and 228:
Page 229 and 230:
Page 231 and 232:
Page 233 and 234:
Page 235 and 236:
Page 237 and 238:
Page 239 and 240:
Page 241 and 242:
Page 243 and 244:
Page 245 and 246:
Page 247 and 248:
Page 249 and 250:
Page 251 and 252:
Page 253 and 254:
Page 255 and 256:
Page 257 and 258:
Page 259 and 260:
Page 261 and 262:
Page 263 and 264:
Page 265 and 266:
Page 267 and 268:
Page 269 and 270:
Page 271 and 272:
Page 273 and 274:
Page 275 and 276:
Page 277 and 278:
Page 279 and 280:
Page 281 and 282:
Page 283 and 284:
Page 285 and 286:
Page 288 and 289:
286 Appendix B - Data Sources, Regr
Page 290 and 291:
288 Appendix B - Data Sources, Regr
Page 292:
Praise for the DHL Global Connected
show all

DHL Global Connectedness Index 2014

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

Delete template?

Save as template?