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Proceedings of the 3rd European Conference on Intellectual Capital

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3. The empirical study<br />

3.1 Methodology<br />

Katia Rodrigues and Eduardo Tomé<br />

3.1.1 The smart cities methodology<br />

In this study we follow <str<strong>on</strong>g>the</str<strong>on</strong>g> smart cities methodology (Giffinger and al, 2007). Smart or knowledge<br />

cities reflect <str<strong>on</strong>g>the</str<strong>on</strong>g> need <str<strong>on</strong>g>of</str<strong>on</strong>g> a radical reformulati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> cities, as a c<strong>on</strong>sequence <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> change <str<strong>on</strong>g>the</str<strong>on</strong>g> world<br />

faced in <str<strong>on</strong>g>the</str<strong>on</strong>g> Knowledge Era, and when it entered <str<strong>on</strong>g>the</str<strong>on</strong>g> Knowledge Based Ec<strong>on</strong>omy. Smart cities score<br />

high in <str<strong>on</strong>g>the</str<strong>on</strong>g> following items: smart ec<strong>on</strong>omy (innovati<strong>on</strong>, entrepreneurship, productivity, branches,<br />

flexibility, internati<strong>on</strong>al integrati<strong>on</strong>); smart mobility (local accessibility, nati<strong>on</strong>al accessibility, availability<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> ICT infra-structures, transport systems); smart living (cultural equipments, health c<strong>on</strong>diti<strong>on</strong>s, quality<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> housing, individual safety, educati<strong>on</strong>al facilities, touristic attracti<strong>on</strong>, and social cohesi<strong>on</strong>); smart<br />

Governance (participati<strong>on</strong> in <str<strong>on</strong>g>the</str<strong>on</strong>g> decisi<strong>on</strong> making process, level <str<strong>on</strong>g>of</str<strong>on</strong>g> public social services,<br />

transparency, strategy and perspectives); smart Envir<strong>on</strong>ment (natural c<strong>on</strong>diti<strong>on</strong>s, polluti<strong>on</strong>,<br />

envir<strong>on</strong>mental protecti<strong>on</strong>, management <str<strong>on</strong>g>of</str<strong>on</strong>g> natural resources); smart people (skills, lifel<strong>on</strong>g learning,<br />

ethnic plurality, creativity, cosmopolitism, participati<strong>on</strong> in <str<strong>on</strong>g>the</str<strong>on</strong>g> working life) (Giffinger and al, 2007).<br />

3.1.2 The chosen cases<br />

This practical part is based <strong>on</strong> statistical data related to three cities: Braga (PT), Luxembourg (LU)<br />

and Ruse (BG). Braga is our case study, <str<strong>on</strong>g>the</str<strong>on</strong>g> o<str<strong>on</strong>g>the</str<strong>on</strong>g>r two cities were chosen because <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g>ir positi<strong>on</strong>s<br />

in <str<strong>on</strong>g>the</str<strong>on</strong>g> ranking <str<strong>on</strong>g>of</str<strong>on</strong>g> "european smart cities" (Giffinger and al, 2007). The city <str<strong>on</strong>g>of</str<strong>on</strong>g> Luxembourg occupies <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

first place and <str<strong>on</strong>g>the</str<strong>on</strong>g> city <str<strong>on</strong>g>of</str<strong>on</strong>g> Ruse occupies <str<strong>on</strong>g>the</str<strong>on</strong>g> last place. So we will compare <str<strong>on</strong>g>the</str<strong>on</strong>g> reality <str<strong>on</strong>g>of</str<strong>on</strong>g> Braga with<br />

<str<strong>on</strong>g>the</str<strong>on</strong>g> best smart city and <str<strong>on</strong>g>the</str<strong>on</strong>g> worst smart city. The three medium-sized cities have at least <strong>on</strong>e<br />

university: University <str<strong>on</strong>g>of</str<strong>on</strong>g> Minho (Braga), Angel Kanchev University <str<strong>on</strong>g>of</str<strong>on</strong>g> Ruse (Ruse) and University <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

Luxembourg (Luxembourg).<br />

3.1.3 The nati<strong>on</strong>al setting<br />

We c<strong>on</strong>sider to be important to describe briefly <str<strong>on</strong>g>the</str<strong>on</strong>g> three countries in which <str<strong>on</strong>g>the</str<strong>on</strong>g> three cities are located<br />

in terms <str<strong>on</strong>g>of</str<strong>on</strong>g> broad ec<strong>on</strong>omic indicators. The indicators used are those used in <str<strong>on</strong>g>the</str<strong>on</strong>g> study european<br />

smart cities. But unfortunately we were not able to find informati<strong>on</strong> for all fields used in that<br />

methodology. To overcome that problem we added variables as <str<strong>on</strong>g>the</str<strong>on</strong>g> HDI, and also governance<br />

indicators. The data we collected are shown in Table 2<br />

Table 2: Broad ec<strong>on</strong>omic indicators for case study countries<br />

Portugal Luxembourg Bulgaria<br />

HDI (a) 0,897 0,944 0,824<br />

GDP ($US CURRENT<br />

milli<strong>on</strong>s ) (b)<br />

242 689 54 257.3 49 900.4<br />

Voice and Accountability<br />

(c)<br />

89.1 97.6 64.0<br />

Political Stability (c) 74.5 96.2 62.7<br />

Government<br />

Effectiveness (c)<br />

85.2 96.2 59.0<br />

Regulatory Quality (c) 80.5 95.7 71.4<br />

Rule <str<strong>on</strong>g>of</str<strong>on</strong>g> Law (c) 83.5 97.6 53.8<br />

C<strong>on</strong>trol <str<strong>on</strong>g>of</str<strong>on</strong>g> Corrupti<strong>on</strong> (c) 81.9 95.2 54.3<br />

Source: (a) United Nati<strong>on</strong>s Development Program 2007 (b) World bank 2008 (c) World bank 2009 (c)<br />

Percentile Rank (0-100)<br />

Luxembourg (country) is positi<strong>on</strong>ed in <str<strong>on</strong>g>the</str<strong>on</strong>g> first place in all indicators in relati<strong>on</strong> to Portugal and<br />

Bulgaria. Luxembourg has excellent results in <str<strong>on</strong>g>the</str<strong>on</strong>g> HDI, <str<strong>on</strong>g>the</str<strong>on</strong>g> GDP (U.S. $ milli<strong>on</strong>s current), in Voice and<br />

Accountability in Political Stability, Government Effectiveness in <str<strong>on</strong>g>the</str<strong>on</strong>g> Regulatory Quality Rule <str<strong>on</strong>g>of</str<strong>on</strong>g> Law<br />

and <str<strong>on</strong>g>the</str<strong>on</strong>g> C<strong>on</strong>trol <str<strong>on</strong>g>of</str<strong>on</strong>g> Corrupti<strong>on</strong>. Portugal performs better than Bulgaria in all indicators. These<br />

indicators are very important to describe <str<strong>on</strong>g>the</str<strong>on</strong>g> social, ec<strong>on</strong>omic and political <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> countries. Most<br />

investors give immense relief to <str<strong>on</strong>g>the</str<strong>on</strong>g>se ec<strong>on</strong>omic indicators. Before realizing microec<strong>on</strong>omic is<br />

necessary to understand macroec<strong>on</strong>omic. These indicators are developed by <str<strong>on</strong>g>the</str<strong>on</strong>g> World Bank and <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

United Nati<strong>on</strong>s Development Program.<br />

354

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