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2019 | OriginalPaper | Chapter

1. Relevance of Smart Economy in Smart Cities in Africa

Authors : Gora Mboup, Banji Oyelaran-Oyeyinka

Published in: Smart Economy in Smart African Cities

Publisher: Springer Singapore

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Abstract

This chapter articulates the relevance of smart Economy in Smart Cities in the African context marked by rapid urbanization. A smart city is conceptualized as a sustainable, inclusive, resilient and prosperous city that promotes a people-centric approach based on three core components—Smart City Foundation, Information and Communications Technology (ICT) and Smart Institutions and Laws. These three core components are the pillars of the seven dimensions of a smart city: Infrastructure Development, Environmental Sustainability, Social Development, Social Inclusion, Disasters Prevention and Resilience, and Peace and Security. Infrastructure Development includes transport, industrial energy, education and health infrastructures, etc. Environment Sustainability is comprised of elements of energy, transport, building and pollution. Social Inclusion includes aspects of participation in decision making as well as according all city residents equal opportunities for growth and prosperity. Social Development encompasses elements of education, health, public space and social capital. Disaster Prevention and Resilience incorporates elements of mitigation and adaptation to various disasters such as flooding, droughts, storms and earthquakes. Peace and security covers all forms of violence and conflicts, including domestic violence, violence in public places, crime, armed conflicts, terrorism, etc. An insecure city limits opportunities for investment and economic growth and cannot be a smart city.

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Footnotes
1
United Nations (2017).
 
2
Mboup et al. (2017).
 
3
Mossberger et al. (2008).
 
4
Mboup (2017d).
 
5
Mboup et al. (2017).
 
6
See also the World Bank (2016a).
 
7
UN-HABITAT (2010).
 
8
UN population Division, Department of Economic and Social Affairs, 2018. World Urbanization Prospects: The 2018 Revision. New York (USA).
 
9
Calculated by the author from the United Nations, Department of Economic and Social Affairs, Population Division (2015). World Urbanization Prospects: The 2014 Revision, (ST/ESA/SER.A/366).
 
10
United Nations, Department of Economic and Social Affairs, Population Division (2015). World Urbanization Prospects: The 2014 Revision, (ST/ESA/SER.A/366). UN-Habitat, 2012. State of World’s Cities 2012/2013: Urban Prosperity. Earthscan, London (United Kingdom).
 
11
UN-Habitat (2012).
 
12
Mboup (1999).
 
13
UN-Habitat et al. (2018).
 
14
See Fay and Opal (2000). Also see: Jedwab and Vollrath (2015).
 
15
http://​www.​africaneconomico​utlook.​org/​en/​theme/​youth_​employment/​. Promoting Youth Employment in Africa. Accessed on 21 October 2015.
 
16
World Bank (2009).
 
17
For more details refer to Chap. 10 of this book “Smart Disaster Prevention and Resilience in Africa”.
 
18
Mboup et al. (2017).
 
19
Vinod and Dahiya (2017).
 
20
United Nations (2015).
 
21
United Nations (2015).
 
22
Mboup (2017d).
 
23
Mossberger et al. (2008).
 
24
World Bank (2016b).
 
25
World Bank (2016b).
 
26
World Bank (2016b).
 
27
World Bank (2016c).
 
28
World Bank (2016d).
 
29
World Bank (2016d).
 
30
World Bank (2016d).
 
31
Mboup (2017a).
 
32
World Bank (2016d).
 
33
World Bank (2016d).
 
34
World Bank (2016d).
 
35
World Bank (2016d).
 
36
World Bank (2016d).
 
37
World Bank (2016d).
 
38
World Bank (2016d).
 
39
World Bank (2016d).
 
40
World Bank (2016d).
 
41
Mboup (2017d), also see De Soto (2000).
 
42
UNDP and Panos Institute West Africa (PIWA) (2009).
 
43
World Bank (2016d).
 
44
World Bank (2016d). See also Aker et al. (2013).
 
45
World Bank (2016d). See also Yilmaz and Coolidge (2013).
 
46
Klessmann (2010).
 
47
Mboup (2015b).
 
48
Mboup et al. (2017).
 
49
Repetti and Bolay (2010).
 
50
Conroy and Gordon (2004).
 
51
Conroy and Evans-Cowley (2010).
 
52
Madanipur (2017), Madanipur (2001).
 
53
Brody et al. (2004), Laurian (2004). Cited by Conroy and Evans-Cowley (2010).
 
54
Conroy and Berke (2004), Conroy and Gordon (2004), Wild and Marshall (1999). Cited by Conroy and Evans-Cowley (2010).
 
55
Chen et al. (2010).
 
56
Silva (2010), (http://​www.​igi-global.​com/​viewtitlesample.​aspx?​id=​43177&​ptid=​41793&​t=​the+e-planning+paradig​m+%E2%80%93+theory%2c+methods+and+t​ools%3a+an+overview), downloaded, 9 April 2017. The Use of Social Media for Urban Planning: Virtual Urban Landscapes Created Using Twitter Data.
 
57
Yigitcanlar (2013).
 
58
Horelli and Wallin (2010).
 
59
Staffans et al. (2010).
 
60
Mboup (2017b).
 
61
Törhönen et al. (2013).
 
62
Aikins (2013).
 
63
Törhönen et al. (2013).
 
65
United Nations (2015).
 
66
European Commission (2017).
 
67
Ndaw (2015).
 
69
World Bank (2015a).
 
72
World Bank (2016a).
 
73
Krambeck (2015) and Haddad et al. (2014).
 
74
Pulido and Canales (2015).
 
76
Rodrigue et al. (2013).
 
77
Rodrigue et al. (2013).
 
78
World Bank (2016d).
 
79
World Bank (2016d).
 
80
Muto and Yamano (2009).
 
82
UN-Habitat (2010).
 
83
UN-Habitat (2010).
 
84
UNICEF and WHO (2015).
 
85
Mboup (2017c).
 
86
Mboup (2017c) and UN-Habitat (2010).
 
87
Smith (1995).
 
88
Staton and Harding (2001).
 
89
At 58th session in May 2005, the World Health Assembly (WHA) adopted a resolution WHA 58.25 establishing eHealth strategy for WHO promoting the use ICTs in the health sector and services for all (citizens, patients, healthcare professionals, healthcare providers, as well as policy makers).
 
90
http://​www.​oecd.​org/​sti/​ieconomy/​ict-and-the-health-sector.​htm. ICTs and the Health Sector: Towards Smarter Health and Wellness Models. OECD, 2013.
 
91
.WHO (2016).
 
92
Rudowski (2005).
 
93
WHO (2016).
 
94
WHO (2016). ESA supported the publication of four linked studies whose objective it was to explore the challenges and opportunities of a satellite-enhanced e-health and telemedicine infrastructure for sub-Saharan Africa.
 
95
WHO (2015).
 
96
World Bank (2015b).
 
97
World Bank (2015c).
 
98
Mboup (2017c).
 
99
Flannery et al. (2013). ScratchJr, is an application aimed at teaching algorithm thinking and coding principles to kids at young age (5–7 years) using a simple drag and drop interface.
 
100
Ho et al. (2015).
 
101
Escher et al. (2014).
 
102
Mboup (2017c). The number of world-class universities committed to this digital innovation is steadily growing, as is the number of students—one MOOCs provider, Coursera, has seen the number of students almost double from 7 million in April 2014 to 12 million in 2015.
 
103
Mboup (2015a).
 
104
Bill Freund, University of KwaZulu-Natal, The African City—A History. Cambridge University Press 978-0-521-52792-7; see also See also Catherine Coquery-Vidrovitch, African urban history for the 1991 African Studies Review and; Alan Mabin and Sue Parnell, two distinguished urban scholars in South Africa.
 
105
Edited by Salm and Falola (2005).
 
106
Coquery-Vidrovitch (2005).
 
108
Blier Suzanne Preston (2012).
 
111
World Bank (2016). The Digital Dividend, Box 08: The four digital enablers: Social Banking, Social Media, Digital Identity, Data Revolution, pp. 27–28.
 
112
Maezawa et al. (2014).
 
113
As noted in the Hyogo Declaration and Hyogo Framework for Action (HFA) 2005–2015.
 
114
The Sendai Framework’s seven global targets are (a) Substantially reduce global disaster mortality by 2030, aiming to lower average per 100,000 global mortality rate in the decade 2020–2030 compared to the period 2005–2015; (b) Substantially reduce the number of affected people globally by 2030, aiming to lower average global figure per 100,000 in the decade 2020–2030 compared to the period 2005–2015; (c) Reduce direct disaster economic loss in relation to global gross domestic product (GDP) by 2030; (d) Substantially reduce disaster damage to critical infrastructure and disruption of basic services, among them health and educational facilities, including through developing their resilience by 2030; (e) Substantially increase the number of countries with national and local disaster risk reduction strategies by 2020; (f) Substantially enhance international cooperation to developing countries through adequate and sustainable support to complement their national actions for implementation of this Framework by 2030; and (g) Substantially increase the availability of and access to multi-hazard early warning systems and disaster risk information and assessments to the people by 2030. See https://​www.​unisdr.​org/​we/​coordinate/​sendai-framework.
 
115
UNISDR 2015: “The reporting gaps underline the need for UNISDR and partners to continue working with governments to establish robust and well-maintained national disaster loss databases to improve record-keeping and accountability. Universally acceptable loss indicators are currently under development to measure progress in reducing disaster losses as set out in the Sendai Framework for Disaster Risk Reduction 2015–2030”.
 
116
The term hazard refers to a severe or extreme event such as a flood, storm, cold spell or heatwave etc. which occurs naturally anywhere in the world. Hazards only become disasters when human lives are lost and livelihoods damaged or destroyed. Rises in the global population increase the risk of disasters because more people live in harm’s way. (Reference: Centre for Research on the Epidemiology od Disasters (CRED) and UNISDR The Human Cost of weather related disasters (1995–2015).
 
117
“Centre for Research on the Epidemiology od Disasters (CRED) and UNISDR The Human Cost of weather related disasters (1995–2015). “The World Conference on Disaster Reduction, held in Kobe, in Japan’s Hyogo Prefecture, from 18 to 22 January, 2005”.
 
118
United Nations (2009).
 
119
Disaster Mitigation for Sustainable Livelihoods Programme, University of Cape Town, South Africa, www.​egs.​uct.​ac.​za/​dimp. In UN-Habitat, 2007. Enhancing Urban Safety and Security, Global Report on Human Settlements (GRHS) 2007. Published by Earthscan, UK and US.
 
120
Opiyo (2018).
 
121
Ndugwa et al. (2017).
 
122
World Bank (2016d).
 
123
As noted by Opiyo (2018). Op. Cit., Search for Common Ground (SFCG) (Undated). Communication for Peace building: Practices, Trends and Challenges. Supported by United States Institute of Peace (USIP). http://​cu-csds.​org/​wp-content/​uploads/​2009/​10/​usip2011vdk.​pdf.
 
124
UNODC (2012).
 
126
ICT4Peace is another policy and action-oriented International Foundation: www.​ict4peace.​org.
 
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Metadata
Title
Relevance of Smart Economy in Smart Cities in Africa
Authors
Gora Mboup
Banji Oyelaran-Oyeyinka
Copyright Year
2019
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-3471-9_1