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Conduits of Capital

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IT Industry Competitiveness BSA / EIU http://globalindex11.bsa.org/country-table/<br />

R 2 = 0.108 Country Based Public Sector Influence = Medium Private Sector Influence = Medium<br />

This index compares 66 countries on the extent to which they are capable <strong>of</strong> sustaining a strong IT sector. 26 indicators are used to create the index<br />

and these are split into six areas: Overall business environment; IT infrastructure; Human capital; R&D development; Legal environment and Support<br />

for IT industry development.<br />

Office Occupancy Costs DTZ http://www.dtz.com/Global/Research/<br />

R2 = 0.290 City Based Public Sector Influence = Low Private Sector Influence = Low<br />

This report is a guide to total <strong>of</strong>fice occupancy costs across 124 business districts in 49 countries and territories worldwide. The report looks at the<br />

main components <strong>of</strong> occupancy costs in major <strong>of</strong>fice markets across the globe and provides a ranking based on annual costs per workstation paying<br />

due account to differences in space utilisation per workstation in all markets. This latest survey compares the total occupancy cost per workstation<br />

measured in USD at the end <strong>of</strong> 2011 and provides forecasts <strong>of</strong> total occupancy costs to 2016. The report also analyses the cost <strong>of</strong> occupying<br />

secondary space in selected locations, as well as the impact <strong>of</strong> a downside economic scenario on global <strong>of</strong>fice rents.<br />

http://www.cushmanwakefield.com/en/<br />

Office Space Around the World<br />

Cushman & Wakefield<br />

research-and-insight/2014/<strong>of</strong>fice-spaceacross-the-world-2014/<br />

R 2 = 0.204 City Based Public Sector Influence = Low Private Sector Influence = Low<br />

This report shows <strong>of</strong>fice occupancy costs across the globe over the past twelve months, ranking the most expensive locations in which to occupy <strong>of</strong>fice<br />

space. This is a simple measure <strong>of</strong> average annual rental rates in various cities’ business districts that is provided by Cushman & Wakefield in Euros,<br />

US dollars and local currency per square meter. Costs <strong>of</strong> <strong>of</strong>fice space are an important consideration for the running <strong>of</strong> any business, higher costs are<br />

clearly not beneficial but these are rarely viewed in isolation—what businesses receive in return for running an <strong>of</strong>fice is more important and this is what<br />

determines the demand for <strong>of</strong>fice space and consequently the costs.<br />

http://www.economistinsights.com/<br />

Physical <strong>Capital</strong><br />

EIU<br />

countries-trade-investment/analysis/hotspots/<br />

R 2 = 0.133 City Based Public Sector Influence = High Private Sector Influence = Medium<br />

Physical <strong>Capital</strong> is one <strong>of</strong> eight categories used in the Global City Competitiveness Index. It is made up <strong>of</strong> three sub-indices: quality <strong>of</strong> physical<br />

infrastructure, quality <strong>of</strong> public transport and quality <strong>of</strong> telecommunications infrastructure. This category reflects the availability <strong>of</strong> and access to<br />

developed and efficient infrastructure which helps businesses operate more efficiently. It also has an element <strong>of</strong> quality <strong>of</strong> life for residents and visitors.<br />

http://www.weforum.org/en/initiatives/<br />

Quality <strong>of</strong> Ground Transport Network<br />

World Economic Forum<br />

gcp/TravelandTourismReport/<br />

CompetitivenessIndex/index.htm<br />

R2 = 0.140 Country Based Public Sector Influence = High Private Sector Influence = Low<br />

This index is derived from the World Economic Forum’s Travel and Tourism Competitiveness Index. The quality <strong>of</strong> ground transport network ranks<br />

countries according to the quality <strong>of</strong> their public transport network and is one <strong>of</strong> the measures used to compile a sub-index reflecting a country’s<br />

ground infrastructure. It is based on an opinion questionnaire and is hence more indicative <strong>of</strong> the public’s perception <strong>of</strong> the transportation network<br />

rather than hard data.<br />

Quality <strong>of</strong> Roads<br />

World Economic Forum<br />

http://www.weforum.org/en/initiatives/<br />

gcp/TravelandTourismReport/<br />

CompetitivenessIndex/index.htm<br />

R 2 = 0.176 Country Based Public Sector Influence = High Private Sector Influence = Low<br />

This indicator is used to compile a sub-index that reflects a country’s ground infrastructure. It is based on WEF’s annual Executive Opinion Survey<br />

conducted through a questionnaire among business executives around the world, and is hence more indicative <strong>of</strong> perception <strong>of</strong> the road network rather<br />

than hard data.<br />

http://www1.ipd.com/Pages/DNNPage.<br />

Global Property Index<br />

Investment Property Databank<br />

aspx?DestUrl=http%3a%2f%2fwww.ipd.<br />

com%2fsharepoint.aspx%3fTabId%3d425<br />

R2 = 0.221 City Based Public Sector Influence = Medium Private Sector Influence = Low<br />

This factor measures the five years total return on real estate investment in local currencies for 23 developed markets in Europe, North America and<br />

Australasia. The percentage returns are annualised and combine industrial, residential, retail and <strong>of</strong>fice properties. Unlike Office Space and Office<br />

Occupancy Costs, which look from the perspective <strong>of</strong> rents and business costs, this index views real estate from an investors’ standpoint.<br />

Metro Network Length Metro Bits http://mic-ro.com/metro/table.html<br />

R 2 = 0.120 City Based Public Sector Influence = Medium Private Sector Influence = Low<br />

This factor looks at the distance covered by a city’s metro, the number <strong>of</strong> stations and the average distance between stations.<br />

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