Best China Cities Survey 2015: Methodology
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Surveys

Best China Cities Survey 2015: Methodology

Euromoney’s Best China Cities survey melds a combination of executive opinion (qualitative ratings) with hard data (quantitative data) from various sources in the market, across a variety of categories, to produce an authoritative ranking of the best cities in the country.

Qualitative data - Senior executives at multi-national corporates and financial institutions are asked to rate their selected cities for which they have knowledge from 1-7 (1=v poor and 7=excellent) across the following key categories:

  •        Education

  •        Environmental sustainability

  •        Financial competitiveness

  •        Hard Infrastructure

  •        Healthcare

  •        Tax

  •        Technology & innovation

Within these categories there are the following 17 sub-indicators to be rated:

Category

Sub-category

Education

The availability of qualified employees in the city

Environmental sustainability

Air quality

Environmental sustainability

Promotion of green policies and initiatives

Financial Competitiveness

Quality and efficiency of the regulatory framework

Financial Competitiveness

Breadth and diversity of financial services in city

Financial Competitiveness

Connectivity of the city

Financial Competitiveness

Ability to obtain foreign direct investment (FDI)

Hard Infrastructure

The quality of the roads

Hard Infrastructure

Law, order & security

Hard Infrastructure

Quality of long distance travel

Hard Infrastructure

Quality of mass transit transport

Healthcare

Sickness and absenteeism

Healthcare

Healthcare accessibility

Tax

Forward visibility of tax liabilities

Tax

Efficiency of the tax system

Technology & Innovation

Quality of technological infrastructure

Technology & Innovation

Availability of co-funding

Quantitative data – Hard data is collected through a variety of sources including government, city/council, federal, national and international websites with reference to the following data buckets, again split by overall categories and sub-categories:

Category

Sub-category

Education

Number...

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