Planning the Unequal City Critical issues of urban policy design in high social inequality context for developing countries.
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GY499_73704_UD London School of Economics and Political Science
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Planning the Unequal City
Critical issues of urban policy design in high social inequality context for developing countries.
Candidate Number: 73704
MSc Urbanisation & Development
Department of Geography and Environment
The London School of Economics and Political Science
Word Count: 9905 Abstract: Urbanisation is an engine for development and inequality is detrimental for it. Ironically the larger the city the higher the inequality. For developing countries to harness all the potential of the cities, urban planners must face inequality from a new mindset. This dissertation systematically revises current urban policy to proposes a shift in the institutional framework of urban planning to include a social factor. By promoting cooperation and competitivity between citizens it properly address the challenges high inequality poses for the development of a society.
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“Insanity is to do the same thing over and over again, and expect different results”
Albert E.
Thanks to all the great people I met at LSE; to my family and Claudia Rica!
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INTRODUCTION 4
METHODOLOGY 6
FRAMEWORK: 7
POLICY SELECTION 8
LIMITS 8
INEQUALITY AND DEVELOPMENT 9
COMPETITION 10
COOPERATION 12
URBAN INEQUALITY OR INEQUALITY IN THE CITY 14
POLICY ANALYSIS 15
TRANSPORT INFRASTRUCTURE AND PUBLIC SPACE 15
SERVICE COVERAGE 19
SERVICE ACCESSIBILITY MAPS 20
QUALITY OF EDUCATION 21
LAND PRICE 24
CITY SIZE AND REGIONAL PLANNING 25
URBAN LIMITS 25
PARTICIPATORY PLANNING AND COOPERATION 26
PROYECTO B 28
OTHER POLICY EXAMPLES 28
CONCLUSION 29
PROLONGED SOCIAL WORK 30
REGIONAL PLANNING 30
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Introduction
During the last three decades income inequality has received increasing levels of attention
amongst scholars. Twenty years ago, of every 1000 published papers in peer-‐reviewed journals 2
where about income inequality; a decade later it was 4; and today the number is over 8 1. Usually
being a favourite amongst sociology scholars the subject has diversified, in great part thanks to
the slow but steady rise on inequality in developing countries (Stiglitz, 2012)(Piketty T. , 2013)
and some recent Wall Street excesses (Economist, 2014). In fact the subject has been source of
great controversy and extensive media coverage regarding social policy in developed nations and
the origin of global public demonstration groups like 99% and Occupy Wall Street.
Be it social, income or racial, inequality has become growing part of Economics, Public policy and
Developmental studies. It has evolved from the symptomatic role along Kuznets’s curve in the
road to development (Kuznets, 1955), to become a key player on the growth and efficiency of an
economy (Stiglitz, 2009); a common denominator for multiple socially corrosive processes
(Wilkinson & Pickett, 2009) and the source of exclusive institutions that are a pivotal variable to
explain the situation of development in the worlds economies (Acemoglu, Johnson, & Robinson,
2001).
Another mayor change of role in development studies during the past 20 years has been the
significance given to the city in achieving higher standards of living, better services and higher
productivity. As compounded by Glaeser in his book The Triumph of the City (2011) urbanisation
in understood now as an engine for development. Making us smarter, faster, happier and more
efficient. It also has come to play an important role lowering our environmental impact (Kahn,
2000) and increasing entrepreneurship and innovation (Rosenthal & Strange, 2010).
1 True for a ProQuest search conducted the 21st of August 2015 with the terms “income inequality” over ” “ for English
language publications.
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Together these major changes in the developmental discourse have refuelled a 20year-‐old debate
amongst sociologist and economists; around the explanation for the positive correlation between
city size and their level of inequality. Though this correlation has existed since ancient times
(Glaeser & Ades, Trade and Circuses: Explaining Urban Giants, 1995), the definitive reasons
behind it are unclear. Some authors like Florida see it as an essential part of large cities (2015)
others like Baum-‐Snow understand it as the simpler coincidental product of initial inequalities
and personal location choices based on labour opportunities (2012). One thing both sides agree
on is the strength and the perseverance of the correlation.
As inequality is shown to be an active force hindering the developmental process and
urbanisation in seen as an engine for it, it becomes crucial for rapidly urbanising nations to
address urban inequality if they want to harness the developmental push urbanisation lends.
There for it is not surprising that International predevelopment organisations like the United
Nations (with Habitat III) and the World Bank (against historic prevalence) have decided to
dedicate growing part of their effort to aid adequate urban planning in the developing nations
(United Nations, 2015) (IMF; World Bank, 2013). Though it is clear that apt urban planning is
essential to fully harness the benefits cities offers for its inhabitants (United Nations, 2014); the
capacity of urban planning to address the issues of urban inequality is far less studied. This issue
becomes pressing when we take in account that over 15% of the world’s population will move to
urban areas in the next 15 years (United Nations, 2014). Further urgency is added to the matter
when we take into account that this urbanisation will take place mainly in developing countries,
many of them with deep and prolonged social inequality.
In order to understand how planners must face the unequal cities to aid development the first
aim of this dissertation will be to revise the current inequality literature and identify the critical
processes by which it hinders development. The second objective will be to use these identified
processes, as framework to revise urban planning’s ability to respond to them. By analysing
common urban panning tools and current urban policy in countries of high inequality we hope to
provide a tangible recommendation for urban policy designers facing the ever-‐increasing
challenge of high inequality.
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Though urban planning policy effects on urban inequality have been revised from a sociologic
and economic perspective, especially in relation to racial and education level segregation, this
dissertation is original in revising the matter from a developmental approach, specifically
focusing in the manner high inequality deters development. In other words the question is not
new but it's approach, at least as far the author’s knowledge is very original.
The rest of the document is structured as follows: Second.) A brief methodology description and
its limitations. Third). The revision of the current literature on inequality that provides a
framework by which to analyse public policy. This section identifies the deterring of free
competition and cooperation as the critical challenges inequality poses for development. Fourth.)
A case evaluation of urban planning tools based on their ability to improve competition and
cooperation. Fifth) A conclusion showing how urban planning’s ability to promote development
in highly unequal contexts is limited because of its institutional framework towards physical and
spatial problematic. Giving the social planning little effective tools, in what is today a mainly
physical planning process for cities that face social problem2.
Methodology
To understand the problems inequality causes for development we start by defining
development. From this definition we inter-‐disciplinarily revise the inequality and
developmental literature to identify the features by which inequality hinders development. Using
this identified features as a framework to ii) analyse the capacity of urban public policy to
address them, revising examples of the most common policy tools by which planners shape the
unequal cities. iii) We will conclude with recommendations to particular policies in the
developing world whose main aim is to address inequality, like habitat III and the new Chilean
land legislation reform.
2 Focusing on middle-‐income countries of high inequality.
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Framework:
From a spatial economics point of view cities are human agglomerations. By reaching such
densities they change the return on many activities and investments, such as paving a road,
sewage, lighting, building a hospital or even planning and organizing for the future. Cities are a
physical expression of our societies needs. At the same time the cities shape: infrastructure,
technology and equipment distribution affect us retroactively. Hence planning a city is planning
part of society and planning urban society is planning the city. On this major assumption we base
our framework analysis. If we want our public policy to be able to address urban inequality we
must understand the way urban inequality hinders development in society. Given the assumption
city is society we must first understand the largest challenges inequality plants for the
development of societies. To do this we revise the latest developmental literature including
economists like Acemoglu, sociologists like Tilly and anthropological biologists like Diamond.
Having identified the most urgent challenges for the development of unequal societies, we set out
to analyse how the urban planning tools promote the identified aspects critical for development
of unequal societies. We organize our policy revision under 5 lines of though based on their main
intervention, but as the reader well knows in the city everything is connected. They are as
follows:
o Transport infrastructure and public space -‐ Gentrification.
o Service coverage segregation -‐ Quality
o City Size and Regional Planning– Secondary agglomerations inclusiveness
o Participatory planning and Cooperation – Benefits of a common goal
o Other tools
By taking the aspects of the policies that best address the problems identified in our framework,
and comparing them to the historical state of inequality we will be able to propose priority issues
for achieving proper urban equality policy design. These priorities will be addressed to some of
today's public policy in efforts to produce recommendations to them and ground them in
practical scenarios.
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Policy selection
The policies selected for evaluation are based on the urban planning tools in disposition of the
planners. The most common planning tools such as zoning & code, urban transport systems &
infrastructure, housing programs, subsidies & cash transfers, sensitising & educational programs,
public space & service provision. In addition to the governmental policy we will look at some
large scale private efforts and urban/social interventions that have had extensive use or well in
they’re way on becoming public policy. Suchas the work of the non-‐governmental organisation
“Mi Parque” and smaller Foundations like “Projector B”. A third criteria used was the availability
of data and the existence of first source analysis of their effect. Consequently all the policies
selected are well studied by multiple authors in a diversity of contexts. This provides us with
enough data to look at their effects under the two main lenses of cooperation and competitivity.
Hence all research is secondary.
Though many of these interventions and policies might or not been directly intended to face
inequality, like the case of urban infrastructure, they will be analysed because they affect
accessibility which is a major topic in urban inequality.
Limits
The main limit of our methodology is the assumptions contained in the framework itself. This
essay builds on the assumption that inequality’s greatest challenges are of social order; hence our
analysis of the public policy will result skewed towards social needs rather than spatial. At the
same time the notion that inequality is of social origin is quite precise. Inequalities are
differences amongst some individuals, and given that social behavior is the interaction between
individuals, inequalities are in fact of social nature. A more tangible limit of this dissertation is
the extent of detail it can comprehend, given a time limit it will not be possible to produce
practical and new urban policy, it will although restrain itself to the revision of new urban public
policy to address inequality and recommendation for them.
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Inequality and Development
Development
Development in this document has the very broadest possible definition of the term: it
comprehends traditionally units of measure such as the Human Development Index including
income level (GDP/Capita), education (schooling years) and life expectancy at birth (United
Nations, 2013). It also understands as development the multiple variations on the capabilities
approach and the measurement of self-‐satisfaction and reporting of happiness. What we
understand as development understands all this units of measurements as some of the possible
solutions of development, given a set of characteristics of the environment and circumstances.
But it does not see them as the ends of development itself, in fact the term in this definition is the
very opposite of ends, but a continuous change in the aim of an ever-‐morphing problem. This
document avoids a rigid definition because it assumes that humans in optimal condition will
naturally tend to make societies that adapt in the best possible way to accommodate their needs
in their environments. Given that the environment and circumstances will change constantly due
to medium shifts or changes in technology, the best solution is a society that is able to adapt, one
that is capable to find the most efficient way of solving its needs sustainably. In this dissertation a
developed society is not the one that gives the highest returns on investment or keeps all its
citizens in a state of utter blissfulness. But the one that, from a quasi natural selection point of
view, is more capable to adapt and succeed in its ecology. This definition is specifically practical
for extremely long term planning. Given that all suppositions are flexible the best position is the
mobile one, or at lest the one that guarantees that the society will mobilise. A society that
Challenges it self, and at the same time conserves its capacity to organise and cooperate. This
might come as a contradiction or a waste of resources in first instance but if we look at it from an
evolutionary or ecological perspective it’s the correct choice to guarantee that the creative
destruction process takes place and it gives a higher possibility of success or survival. In these
sense the concept development in this document is true to the most archaic form of the
expression: change. Beyond a moral judgement, one that assures better chances of the society in
question to adopt new technologies; have incentives in line with reality and can successfully
coordinate it self to face challenges. Ironically some of the best-‐coordinated multi-‐organic beings
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like ants are highly rigid in their operation but they hold variability and competition at a colony
level through the queen’s reproduction and colony competition ( (West, Pen, & Griffin, 2002)).
What must be understood is that the term development in this document is a processs. Not a
correct solution, but a succession of them (Cities between Competitiveness and Cohesion:
Discourses, Realities and Implementation, 2008).
Inequality
By the same token a complete understanding of inequality requires us to recognize its positive
and its negative effects. In fact inequality plays a crucial role in the creation of incentives and
competition. As identified by Adam Smith over two centuries ago, who identifies amongst the
negative aspects of inequality the “useful inequality” between the industrious and idle workers
(Smith, 1759). Inequality is a drive for competition and this ultimately allows for efficiency and
sustainability of our society; as in ecology, diversity is essential for adaptation of species (Walker,
Holling, Carpenter, & Kinzig, 2004). Ironically, history shows that societies with high levels of
inequality tend to block this competition channels (Guerrero, Lopez-‐Calva, & Walton, 2006) and
reduces the chances for social mobility (Chetty, Henderson, & Saez, 2014). As power groups limit
the competition of other members to safeguard their stability, they reduce incentives and
consequently the proper functioning of their community, as shown by many authors analysing
multiple countries and time frames (Diamond, 2005) (Wilkinson & Pickett, 2009) (Mingo, 2014).
Competition
From a developmental point of view, what is most damaging of inequality is it’s persistence
through time, as shown by Charles Tilly (1998) in Durable inequality. The differences become
entrenched by several social mechanisms such as segregation, racism and other rationalizations
of human differences. The rationalisations themselves are not bad but it is their ability to outlast
their time and location is the origin of negative consequence. These differences in turn are used,
by elites to create extractive or exclusive institutions, which tend to limit the ability of individuals
to collect the fruit of their effort or reduce the chances of improving their situation. Thus
inequality can become a barrier to the process of creative destruction and the capacity of
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societies to adapt to their environment and improve their wellbeing as shown by Acemoglu &
Robinson (2001) By looking at the initial levels of racial inequality of the colonies the authors
draw evidence of this behaviour. In colonies where the foreign power couldn’t thrive and did not
settle, they did not see as equals the population to govern, and in such rationalisation they
justified building abusive and exclusive institutions.
At the same time authors like Piketty (2013) have extensively recorded the higher return on
capital over work, which leads to a constant division amongst the wealthy and the poor. Because
of deeper separation of the level of education, connections, appearance and many other
circumstances this differences not only repeat themselves across time and generations but also
this is reflected in the return on wealth. Again the incapacity to compete on a level field tends to
cause a distortion of the incentives from reality or the creation of violence. This can well occur by
too much equality like in the USSR (Popov, 2010) or extreme inequality like tsarist Russia, it is
not the level of equality that made them collapse but the miss placed motivations due to an
impossibility to collect personal benefit over work. Eventually this leads to a reduction of
competition due to little change on the return of my marginal work.
There is extensive work showing the link between the competitively of an economy and its level
of inequality, such as the work of The World Bank (2006) and (Guerrero, Lopez-‐Calva, & Walton,
2006) which shows how the income inequality allowed for billionaires to buy state services such
as water, communications, farming and finances. Though regulation was in place and monopoly
judgements had been expressed by competent authorities, the services also obtained through
political lobby a “state pardon” that allowed them to continue their operations. In fact interesting
things shown by Guerrero is that high levels of inequality existing in the Mexican income lead the
way for the creation of monopolies on the service sectors that the state privatise like
communications and finances. These monopolies in turn give way to suboptimal market
solutions in the way of lower coverage, low investment & quality and higher prices for the
telecommunications market making it 3 or 4 times more profitable than their closest competitors
in South America. On the other hand the financial system in Mexico suffered one of the lowest
rates of credit lending and highest banking return rates in the world. This not only puts
everybody worse off, but also shows deliberate intentions to block competition with the “State
Pardons”. Opposing competition generates suboptimal market solutions in economic terms,
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which translates in practical terms as not achieving the best possible use of the available
resources.
Cooperation
On the other hand there is the recent and extensive work regarding the correlation between
inequality and violence, low life expectancy, distrust, unhappiness (Luttmer, 2005) and many
other socially corrosive processes that contribute to the fragmentation of society (Wilkinson &
Pickett, 2009). Inequality divides society, and it does so by alienating individuals, creating the
THEM and US inside of what should be an US. This occurs due to consistent separation of realities
in the same society and impossibility to change situations. It would not be possible to have trust
if there are no common grounds with the other part (Tonkiss, Passey, Fenton, & Hems, 2000).
This not only generates inefficiencies in public policy as with the two-‐decade delay on HIV
response in South Africa (Varun Gauri, 2006), but also generates distrust and reduces
cooperation, (Lascaux, 2012). Cooperation is crucial for the inner working of a society, it not only
allows for faster and more coordinated responses but it is the reason why we are capable of
living in groups. As evolutionary biology shows us working in community not only allows to
increase surviving chances but also gives greater variability in the species. The size of our genetic
bank, represented by the differences of each of our individuals, allows specie to respond to
changes in environment quicker and more accurately. Following the parallel between
evolutionary biology of species and societies and their development, it’s a bout changes and
probabilities. The more diversity when facing a problem, the higher are the chances of getting it
right.
Cooperation also provides the chance of specialisation or the other way around (Noe &
Hammerstein, 1994). This is appreciated in symbiotic organisms up to the neurons in our brain.
Just as our bodies cells teamwork allowed our ancestors to develop a brain and before that legs
and eyes in the competition for the acquisition of food, our societies cooperation allowed us to
develop farming (Diamond J. , 1997) techniques, engines and invent airplanes. Cooperation
allows for inequalities to coexist, in aims of a common good. When the inequalities are too high it
can produce a lack of common purpose, which holds this cooperation in sense. In the case of
cancer, mutated cell becomes very effective and absorbs all the nutrients multiplying
uncontrollably, as a consequence the person could die. If this happens in a country where one
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group take al the resources and goods the society will soon collapse as other members would
migrate or die. Showing that proper cooperation needs of naturally occurring, similarly efficient
competing forces to work properly as a trait and stay in place (Wilson & Sober, 1994).
Extending the parallel to biology, racial inequality could be parallel to an autoimmune disease
like lupus. When our immune system over reacts to a protein present in our knee it attacks it.
Though they are function part of our society we might recognize them as different to such an
extent as to create conflict. This them and us is the drawing of the line of my cooperation group,
where we draw the line depends in circumstances, but as the auto immune system we can be
wrong, terribly wrong. In this sense social norms allow for group traits to be selected as shown
by O'Gorman et al (2008).
Kin Selection: Cooperation also offers an outstanding perk for the adaptation on environment best
known in evolutionary biology as kin selection if I work for my genetic similarity benefit my
genetic material will have a better chance to survive. This explains why we are social animal, our
ancestors where and they children had a better chance of survival. But this concept of self-‐
sacrifice only makes since if there is cooperation in both ways. If all other parts of the community
do not act the same way the trait will not subsist.
By Product: The entire urban infrastructure could be catalogued under the “by product” of us as
partners having a shared interest. Take for example the roads you walk in. You are willing to pay
your share of them because you use them, as is the next person. Most of the urban infrastructure
falls in this category.
Indirect benefits on fitness: cooperation or selfless actions is most likely amongst bacteria that do
not separate, meaning that they are kin surrounded (Griffin, West, & Buckling, 2004). If we do not
recognize as our own our citizens we will readily cooperate with them. We must share some sort
of common identity, ranging from a football match to a war this events provide new definitions of
kinship and byproduct.
For group traits like cooperation take place we must recognize our self’s with our fellow citizens.
How much? Its not possible to give an amount as the correct amount will vary on context but
what human society seams to agree on now these days, is that there is need for more of
cooperation.
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In summary the benefits of cooperation amongst others are security (survival of kin) and
(specialization), but to achieve them the system must find a common objective.
Urban Inequality
The main problematic of inequality is its ability to persist and deepen in time hampering with our
ability to compete and cooperate. Which damages the ability of communities or societies to adapt
and react to the environment. Consequently we must look at how urban inequality limits the
competitively of the citizens and hinders cooperation amongst them.
Urban inequality usually translates to the spatial realm as physical segregation. There is no place
where inequality is more visible and deeper than in the cities, in fact the correlation between city
size and its levels of inequality have been well known for the as 3 decades. This makes the role of
urban planners in addressing inequality an important one, not only because UN estimates 66 per
cent of the human population living in cities by the year of 2050 (United Nations, 2014) but also
because this cities will host larger inequalities that the ones the world faces today as it is in the
developing world that this urbanisation will take place.
In the city, density allows for social characteristics to take physical shape. Human concentration
and use is so high that many social aspects come forward in physical shape. From urban
furniture, parks to the section of streets the density is such that many social needs become
expressed in the medium. This is true for a need of recreation and rest with parks, benches and
cinemas or churches for communion up to the need to differentiate and security with fences, and
cameras. Some of these expressions are planned and organised products like pavement and
public lighting that rarely contest opposition. Although most off this expressions are a
consequence of the addition of multiple individuals taking personal decisions, from the fact of
agglomeration to urban segregation. This nature of the city makes urban planning take a
predominantly physical concern.
This tight correlation and retroactive influence between society and the Physical nature of the
city creates both a challenge and an opportunity for urban planners. It is not coincidence that one
of the main discussion topics of the UN Habitat III forums has been how to face the inequality of
presenting these cities. Most of the efforts to face the inequality in cities (levelled playing field)
take a physical shape, but the problems arising from inequality are not of physical origin and
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spatial segregations and fenced neighbourhoods are just the symptoms. Urban Planning for
inequality is not spatial but a social matter
Policy Analysis
Understanding that the major threat inequalities pose for the sustainability and of societies its
capacity to adapt is their durability. The urban projects and policies that tackle inequality should
promote social mobility and create community rather than spaces. To show this, this paper will
look at the projects that have faced urban inequality and intend to draw from them that the key
issues urban planners should prioritize when facing inequality.
(i) First we will look at the improvement of transport infrastructure and access to services and
urban amenities aimed to reduce social inequality and the limiting improvement in competitivity
it can have due to gentrification. (ii) Secondly how efforts to improve homogeneity of services
(education and health) is of little effect addressing competitivity of the local dwellers when
limited by quality difference. (iii) Thirdly, the effects on regional planning in the improvement of
cooperation and competition (iv) Fourth, how two neighbourhood improvement programs, that
have similar context and different methodologies, produce different efficiency in the generation
of cooperation. (v) Finally A short mention of other policies and their effects on competitivity and
cooperation.
Transport infrastructure and public space
Transportation infrastructure has been praised as a stepping-‐stone for development. There are
many studies exploring the correlation between economic growth and investment in transport
infrastructure (Hong, Chu, & Wang, 2011). Others more bluntly state that transport
infrastructure triggers growth (Pradhan, 2010). Some even estimate a social return ratio of 1.5 to
8 dollars for every dollar spent in transport infrastructure (Leduc & Wilson, 2013). Other more
conservative authors like Farhadi agree that there is a positive relation between growth and
transport infrastructure but warn that it is not as substantial as investment on equipment and
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service that have a return rate of over 200%, well above the 20-‐25% of transport in OECD
countries (Farhadi, 2015).
Transport infrastructure defines the way goods and people are moved and it is what allows for
trade to have the scale we know today, they literally make us wealthier as they allow the markets
in the city access more goods for less. In side the city they providing access to all the goods a city
can offer to itself, from workers to food, they define the market area of any entity operating in the
city as they determine the travel time and transport costs (Allaway, Black, Richard, & Mason,
1994). The main drive for this close relation between transport and city growth is that transport
infrastructure and economic outcome mutually defined each other(Ahlfeldt, Moeller, &
Wendland, 2014).
Though the relation between economic growth and transport is strong, the understanding of its
effects over urban inequality and the opportunities to whom it serves are less evident.
Investment in transport will not generate inclusion and local economic development
automatically (Vickerman, Spiekermann, & Wegener, 1999). Improvements in Accessibility
(Public Transportation & transport infrastructure) without addressing the skills and social
content of the neighbourhoods have only tangential effects in improving the labour skill set of the
dwellers of such segregated areas. As multiple studies show that improving connectivity with
transportation investment specially ones improving accessibility (lowering transport time and
cost) to job centers, increase land price. So tightly correlated are this processes that The World
Bank recommends the use of the rise in land value to partly finance the cost of infrastructure in
developing economies (Peterson, 2009).
These recommendations make plenty of sense if one is looking at the creation of infrastructure
and economic growth as the ultimate goal of development. Contrarily, understanding
development as the ability of all citizens to have equity of opportunities it only tangentially
addresses the issue. As exposed by authors like Hess & Almeida (2007) the reduction in travel
time to the employment centers reflects in the ability to pay for the land, and as shown by
Cervero & Duncan this can have a premium on homes values, varying on their proximity to the
transit systems which ranges from 6 to 45% (Cervero & Duncan, 2004). A very similar result is
shown by Agostini & Palmucci (2006) that showed how metro stations but not bus stations in
Santiago, Chile increased the land value of 4 to 6%. The improvement in transit ends up “pricing-‐
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out” the previous inhabitants; this is one of the best-‐known forms of gentrification (Pollack,
Bluestone, & Billingham, 2010). This issue is well exposed by authors like Jeffry Lin (2002) and
Mathew Kahn (2007) whom developed model explicitly addressing the displacement by the
improvement in public transport in multiple cities, showing that accessibility improvement like
underground stations can also change the demographic composition of surrounding
neighbourhoods.
The process of Gentrification reveals that only addressing the connectivity problems of a
segregated or a lower income area helps only tangentially to increase the competitiveness of the
dwellers. Their skill base or racial composition will stay the same and their possibility to increase
income will not be seriously affected by this new infrastructure. In fact this causes the problem to
be displaced and not addressed.
To make a case take the hypothetical situation of a city that continues to improve the accessibility
of the entire city either by transport subsidies or having impeccable roads serving every inch of
the city. In either case the capacity to reduce the effects of inequality remain tangential.
Homeowners of the owners will receive a one-‐time cash transfer when their property is sold or
an increase return on their property as the rent rises. Given that the majority of lower income
neighbourhoods for micro-‐economical reasons are renters (Desmond & Weihua, 2015) a large
amount of the population will be priced out or slightly better condition.
These findings are not opposing transport infrastructure improvements, al contraire, it
recognizes that well planned transport policy creates growth, but it advises that this alone will do
little to promote equality of opportunities or social cohesion. The advantages given by
investment on transport should be accompanied by urban social policy improving the education
and employability of the individual in those areas. The infrastructure will act as one time cash
transfer, rather than an increase in productivity or income for the long term.
The disassociation between improvements of accessibility and increase in cooperation and
competitivity is seen in the Medellin “Metrocable”. Medellin is a city in Colombia of higher middle
income and high levels of inequality, with a violent past. Medellin’s “Metrocable” improved
accessibility of low-‐income periphery neighbourhoods by building cable cars that reached hard
to get hills in low income and high crime rate areas of Medellin. Though the cable gondolas are
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not technically a mass transport system they do provide improvement on travel times to the
wealthier and more job intensive parts of the city, at a subsidise rate. This means people living in
this neighbourhoods are able to reach markets, jobs and services at a lesser cost they did before,
in practical terms the accessibility of this neighbourhoods has improved drastically. After the
intervention the state report show a significant drop in homicides and an increase of small
businesses activity (Leibler & Brand, 2012) (Coupé & Cardona, 2013).
The initial project of metro cable did not include all the neighbourhood investment, only after the
municipality opened the first line it realized the opportunity this accessibility meant, not as
transport but as a point that marks presence of the state and allows for the injection of resources
and human capital available in the city. As expressed by Brand and Davila (2013) “lack of
accessibility is simply one of a number of urban deficiencies experienced by the inhabitants of
those sectors… it would be illogical to suppose that …the Metrocable … will provoke, in and of
themselves, broader processes of urban improvement”. Brnad & Davila show that the Social
Urbanism process started after the opening of the line including creating libraries, community
centers, and entrepreneurship a programs is the real source of improvements and not because of
accessibility, In fact only 10% of its users of the cable cars are local dwellers (Leibler & Brand,
2012). Though all the authors show caution in suggesting the silver bullet of this compound
intervention, due to the fact that the entire city has shown economic growth and drop in violence.
Though this essay agrees with Fay and Morrison (2007), the WEF (2008), and other authors in
their argument that extensive transport infrastructure investment help to reduce the effects of
inequality by lowering the effects of spatial segregation, it also sustains it does in a tangential
manner. They produce better connections to work and reduce the cost of transport of goods, this
is essential in securing an income and create growth, but it does nothing regarding kind of work
this individual can reach, nor the distribution that this growth will have in society. This will have
to do more with the education level the individuals hold, their skill set, and technology available
to them (Glaeser, INEQUALITY, 2005) (Katz, 1992).
Many public policy advisors discussion platforms including the UN Habitat III call for the
improvement of infrastructures as one of the ways to fight inequality, but the authors gathered in
this section show that the effects are manly in economic growth not in its distribution.
GY499_73704_UD London School of Economics and Political Science
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The positive growth effects of transport infrastructure and its limited effects on inclusion suggest
it is tool that must be used strategically. As a promoter of growth it might be a priority in
communities that have very low income as it will provide an economic stability which is a useful
starting point for development (Gauthier, 1968), at the same time the access to markets and
goods suggest that it might be a adequate tool for regional and national planning as it foments
the growth and competition of cities**. On the other hand in large cities that enjoy higher income
and productivity, but are segregated as consequence of deep inequalities in cultural, racial or
income bases, it becomes a far less effective tool to promote equality.
Service Coverage
Spatial theory tells us that the size and distribution of urban agglomerations is a consequence of
the benefits derived from the location of individuals. Most of the times cities grow because they
offer more net benefits than other locations, causing immigration. The city will grow until the
rise in transport costs will reduce the net benefit of living in them, down to the same level of
benefits from living in the countryside (or other cities). Cities size will be determined by the costs
of transport to, in and from them (O'Sullivan, 2012); the productivity of their industries;
available capital for investment, age structure and other factors that influence the costs and
benefits of living in it. These benefits that attract, include innumerable variables, from job
opportunities to the availability of capital including natural amenities and in some cases political
power (Glaeser & Ades, Trade and Circuses: Explaining Urban Giants, 1995) (Henderson, 2015).
There is extensive literature addressing how urban inequality translates into segregation
(SCARPA, 2015). In many lower income countries this segregation is accompanied by lower
accessibility to services such as schools, hospitals, retail, security, and culture. This makes
international agencies step towards insuring better coverage of basic services as a priority
(UNDP, 1999) (United Nations, 2015). But in middle and higher income countries reduce
accessibility to services in segregated areas is not the dominant case (Allard, 2004). In effect this
section suggests that over a certain level coverage is not the main relevance in improving
competitiveness and cooperation. In change the quality of the services becomes a crucial factor in
determining the (Fernandez & Rogerson, 1996). In fact one of the strongest predictors of
residential land value is school quality (Ottensmanna, Paytona, & Man, 2008). This suggest that
GY499_73704_UD London School of Economics and Political Science
20
more than the distance to arrive to school or the hospital is the quality of the services received
the larger determinant of the equal competitivity of youths and as consequence of the durability
of inequality. The excessive focus on coverage of central governments might leave the real
problem unsolved.
The example case we will revise is Santiago de Chile’s accessibility to health and education, a
country with a GINI index of 50 (The World Bank, 2011). The services coverage is combined
responsibility of the respective Ministry (MINSAL/MINEDUC) for the secondary and tertiary
services and a local municipality in charge smaller primary service attention points.
Service accessibility maps
The following maps (Pg. 22 Figure 1 Service accessibility by Public Transport. Left) Education.
Right) Health.) are of the accessibility to education and heath services. They show the amount of
services in question that can be accessed by public transport in 10 minutes time by every block in
the city. This is calculated by using GIS vector analysis of the public transport, full information on
the methodology can be found in Camilo Olivos’s working paper (Olivos, 2013) composed during
his time at the urban planning office Urbana E&D. For Education the more schools (private or
public) in the 10 min travel range will determine the darker the colour of the block. For health
services the author compiled an index depending on the complexity the facilities can treat
ranging from primary to tertiary. The darker green colours are the blocks that can access more
beds and of higher complexity, with no distinction on private and public health care, which in
Santiago vary extensively with quality.
Predominant Socio Economic Group:
(Pg.23Figure 3.) This map was produced by the City Observatory of the Catholic University in
Chile (OCUC). The Socio-‐Economic classification based on the British NRS Social Grade
(Wilmshurst & MacKay, 1999), they are manly used for marketing and they do not posses official
recognition. They are based on goods owned by each household collected during the census data
of the year 2012. In this case we use them as an estimated income derived from the number of
goods a family has and its preferences at the time of the measurement. There are 5 categories
shown in the map, ABC1; C2; C3; E; D and they are 11;19;25;35;10% of population respectively.
The smallest unit is the census block. Though the measurements are 5 years apart, it’s possible to
GY499_73704_UD London School of Economics and Political Science
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appreciate through the naked aye that there is little or no correspondent between the
accessibility to services and the predominant socio-‐economic group of the census blocks.
Quality of education
The quality of education maps where compounded by the OCUC (2014) they show the average
score for census districts. The first map (Pg.23 Figure 4 Left) base on the results of the 2005
SIMCE, a national level diagnostic test done for the 10th grade equivalent in the Chilean education
system, the second map (Pg.22 Figure 4right) is based on the university entrance test equivalent
to the SATs for the USA.
This maps though a blunter picture than the accessibility and socio economic maps help us
appreciate by the naked eye the positive correlation of quality of education with socio economic
groups location. Understanding the lack of correlation of socio economic level and accessibility
and the strong correlation with the quality we could infer that what is more determinant for the
competitivity or income level is the quality of education rather than at its spatial distribution.
This shows it is a more social problem than a spatial one, suggesting that after a certain coverage
and income level of a community; the fight for the competitivity and cooperation of our society
must be done at the capacity level. It is human capital that must be the focus of the policies.
GY499_73704_UD London School of Economics and Political Science
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Figure 1 Service accessibility by Public Transport. Left) Education. Right) Health. (Olivos, 2013)
Figure 2 Land value interpolation Santiago, Chile 2011 (Mingo & Solar, 2014)
GY499_73704_UD London School of Economics and Political Science
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Figure 3 Predominant Socio Economic Group (OCUC, 2014)
Figure 4 Quality of education by census district. National valuation Left) 10th; Right) 12th grade.
(OCUC, 2014)
GY499_73704_UD London School of Economics and Political Science
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Land Price
Another way of looking at it is the land price. The map in Figure 2 Land value interpolation
Santiago, Chile 2011 page 22 shows an interpolation of land values in Santiago. As seen in our
short introduction to this section spatial economics dictates that land prices are the revealed
benefit perceived by that location (O'Sullivan, 2012). This includes in decreasing level of
relevance in the current literature: Income, travel time & cost to work, Schools, retail, health,
security and emergency services, education level of neighbours and so on (Ottensmanna,
Paytona, & Man, 2008). Though it is impossible for us to list them all, as they change from person
to person, the ones mentioned explain very well the price for land in cities across the developed
world. Given that the land price is a good estimation of the benefit obtained by the use of the
location. We can use it to make an estimative comparison between the benefits obtained on
locations and their accessibility to services that are commonly referenced in literature as
increasing social integration and increase skill sets that define the income level such as education
health and work. At first sight it is appreciable that the revealed benefits do not match the
accessibility to such services. This the benefits or social returns obtained by this services are not
as expected by the current urban planning literature or most likely there is: i) a extensive
difference of the quality obtained by this services, meaning the education received in one private
school in a rich area is much better than the one a lower income child can access in his equally
accessible school but with worse education capacity (Figure 4). Or complementary ii) there is a
hidden variables, like social capital, that gives a different benefit on these locations.
Which ever we choose, the fact remains that inequality of access to the benefits of urbanisation
(which includes the possibility of future rise in income) is not being determined by the access to
the schools and education. It is the author’s opinion that this difference in benefits it’s in part due
to all the factors expressed above, income, benefits, capacity of purchase. And the direct way of
improving the benefits perceived by the lower price locations is both increasing the capacity to
pay and the quality. It is not impossibility to measure but an expression that all this variables are
confounded and a mixed approach must be the best. Improving the education quality of these
schools, which in turn will produce a more skilled individual, which can be more productive.
Being more productive allows him to have a better income.
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City Size and Regional Planning
Based on spatial economics analysis the way the system of cities grows in a nation does say much
about the distribution of opportunities. Cities that hoard all the population say that they are the
only ones that offers opportunities of higher income or any income in the case of under employed
economies.
This is why competitivity should be rise not only at the individual level but also amongst cities;
some authors say this allows for maybe slower growth but a more inclusive one. Secondary cities
and villages allow for knowledge transfer and enough economies of scale to make investments
that increase productivity such as schools. At the same time whilst offering competition to the
largest cities will incentivise for better administration to cut unnecessary costs, improve
transport systems an infrastructure. Perhaps the most important point of regional planning is in
relation to the theory of scales in evolutionary biology (Griffin, West, & Buckling, 2004). Which
states that unless that by cooperation the individuals increase their success cooperation will not
make sense. In this sense having rival cities will increase the idea of belonging and cooperation.
In general this will allow for cities to become more competitive and cooperative. In the case of
only having one large city concentrating all human and monetary capital the chances of achieving
higher efficiency in the long run without exploitations of cheap labour or distorting natural
resources, are rather lower.
In fact secondary cities allow growth and poverty reduction with lower inequality that mega
cities. This helps support the idea that regional planning is a crucial step for proper urban
planning as concentrating all in primary cities will only further the problems, development might
be slower but it will more inclusive and durable (BERDEGUE, CARRIAZO, JARA, MODREGO, &
SOLOAGA, 2015).
Urban Limits
The city limit is a tempting way of doing this. By limiting the size of a city that wants is growing
what we do is increase the average land value and expel the population that would be coming to
smaller cities (O'Sullivan, 2012) (Glaeser, 2011). The problem here is that we put a brake on the
natural productivity and growth of a city, comparable to the stick, very quick and maybe cheaper,
GY499_73704_UD London School of Economics and Political Science
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but in the long run the carrot goes much further. We could promote growth in the secondary
cities by incentivizing and subsidizing knowledge transfer and capital investment that increases
workers productivity and improving city administrative capacities the other cites. Instead of
clamping down on growth of the mega city to promote the growth of the secondary and tertiary
agglomerations, it is better to make them more competitive so they attract a larger share of the
population. This solution based on the freedom to choose is more likely to reach an optimal use
or resources as it the people choosing to locate. Limiting the size of a city is only advisable when
all the possibilities of increasing secondary city growth against an urban giant are useless and the
ability to plan for and allocate these individuals in the primary city is not attainable. In these
cases the productivity of this workers is so low it will not make much of a difference to put the
limit now but the benefits could be reach latter. An interesting case is London; in part by limiting
its growth permits the city has seen immense rise in rents (The Economist, R.A., 2013) reducing
inequality in part because the poorest renters must commute.
Participatory planning and Cooperation
Many of the following projects where not created to face inequality but to address poverty and
lack of proper urban infrastructure such as parks, pavement, and public lighting. Though not
directly addressing inequality some of these interventions have secondary effects due to
methodologies used that do have an effect on cooperation and competitions in a society. They do
provide certain evidence important to this dissertation and are one of many urban planning
tools.
The first of them is “Quiero my barrio”(QMB) a state sponsored program implemented in the
most vulnerable neighbourhoods in Chilean cities. As by product of the extreme hurry to resolve
the housing deficit back in the 80s the SERVIU, service arm or the Chilean Ministry of Housing
and Urbanisation, did not take express care of in the planning, services, accessibility or housing
quality. The little urban infrastructure the areas had, was left to decay and disrepair. In this
context the executive proposed a 2 stage plan called “Love My Hood” (QMB) (MINVU, 2006). The
first part a team of economist, sociologist and architects established local community meetings to
determine the main urgencies and problematic faced by the neighbours. After tea, cookies and 9
to 10 meetings the team concluded with a series of physical projects and infrastructure
GY499_73704_UD London School of Economics and Political Science
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improvement, I make note that the projects where by express mandate physical in nature. This
was the starting point for the second part, where planners and architects developed the projects;
approved them technically in the central offices of the SERVIU and received the pre approved
fiscal funds to carry on the public competition for its edification. Many authors and international
institutions like the IDB have revised this program; most of them agree that the impact was
limited if not null on the quality of the neighbourhoods and promotion of social cohesion showed
not significant differences (Nieto, 2010) (Arriagada & Bustos, 2012).
Fundacion Mi Parque
Many of the public social housing developments are required to produce certain level of public
space such as parks. These most of the times falls on under the responsibility and care of poorly
funded municipalities with already operate with over-‐stretched finds. The result is that most of
green areas located in public housing developments turn into what is called commonly brown
areas (the space of the park but just dirt) (Jordán, 2014).
This is when the Mi Parque comes in to play. With a simple methodology of sensing the response
of the community they choose to intervene the parks that show more interest and capacity of
organisation. Then come a series of meetings where the team of the foundation and the
neighbours decides on the best features of the design of the park. After several iterations and a
written commitment of the community to take care of the park, with register responsible, the
foundation offers the project to social responsibility teams of large companies, retailers or other
private actors. Within a few days of previous preparatory works, the park is built over a weekend
of volunteer action, many of them employed by the same private sponsorships.
The before and after images of the intervention are almost as impressive as the positive response
rate of community, with a adequate or great care for the parks of over 90% of positive response
after 1 year (Jordán, 2014). It doesn’t take an Inter American development bank study to
understand that what happens here is more than a bit of grass, swings and seesaws. What this
foundation really gives is social capital ability to organize, take over a under valued public space
and given the chance to the community to improve it, it is empowerment and ability to change.
The key difference between these policies is their rate of success in improving cooperation
amongst citizens. Understanding the comparison is out of place because the methodology of Mi
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Parque specifically selects more cooperative communities. It’s not a systematic attack on public
space on all the vulnerable neighbourhoods of the country, but a focalized attempt to produce
community through the commitment in a physical change. This difference make them adequate
policies to look at what actually enables urban areas cooperate and show that a strictly physical
approach poses unnecessary restrains on what should be a policy aiming towards people. And
people are not a one-‐time investment they require a program operating daily in perseverance.
Planning institutional framework limitation.
Proyecto B
Another private endeavour that serves as a referent is “Proyecto B”. Privately funded NGO
focuses in capacitating youngsters to find jobs that give them a higher salary. The funder of
“Proyecto B” understood it was the impossibility of these young individuals to get a job they liked
what was making them relapse. He proposed to some sponsors to fund instruction classes in
machinery operation for some of the most interested individuals and a few months later and a lot
of hard work, they where off the streets with a new job they appreciated and a higher pay than
they expected. This is how the foundation started 4 years ago what today is about to be adopted
as a national policy.
Other Policy examples
Other urban planning tools not revised in this dissertation and do support the notion of urban
planning framework to be changes towards a more socially active spectrum are: (i) location
subsidies and how they have proven effective for children’s social mobility (Moelis Institute,
2015), but their limited effect on mobility when applied at a national scale because they can
produce a land price surge and not have the intender relocation effect. (ii) Housing programs like
the very World Bank recommended Chilean model, can improve services and housing quality, but
at the same time segregate and if applied locally deepen the inequality (Di Girolamo, 2014). (iii)
the fact that the best explanation for urban inequality surge in the past years is unskilled
immigration and the increase on return for the skill premium (Glaeser, Resseger, & Tobio,
URBAN INEQUALITY, 2008). Making it mainly a human capital issue ore than a physical one.
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Conclusion
When addressing urban inequality, urban planning might be part of the problem (Watson, 2009).
The cases exposed Suggest the current framework in urban planning is only approaching
inequality tangentially (Campbell, 1996). I hope that by this dissertation I have at least convinced
the reader that the way of going about urban planning in highly unequal contexts must be
rethought, by adding the social perspective into planning. As shown in the examples, the social
variable makes planning more effective in securing competitive and cooperative cities. This is
especially true for middle-‐income countries like Colombia and Chile with high levels of
inequality. Although this view is not particularly new, urban policy in these nations has hardly
included the legal framework to allow planning address this matters. Perhaps this reluctance to
change has to do with persuading specific literacy or income goals as the ends for development.
Failing to understand development as a system that allows for the best solution to come about,
whether to accomplish this in a free market approach or centralized planning is particular to the
time and circumstances of every nation. For the case of Chile this conclusion will revise the
current urban planning situation and propose some changes:
Chile
Chile has one of the highest GINI coefficients between the OECD countries (2011) with a GINI
index of 50.8 (The World Bank, 2011). This high inequality is reflected in the urban segregation
not only income wise (Scarpacia, Infanteb, & Caetec, 1988) but also in areas with higher
environmental risk factor (Romero, et al., 2010). Though some effort has been done to
decentralize by giving autonomy and capacity building, the urban planning instruments remain
highly centralized (CED, 1994). Shown not only by the state of public space of regional urban
areas but also by the collection of 95% of all taxes by the central government (MINVU, 2006).
GY499_73704_UD London School of Economics and Political Science
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Facing this situation the executive has order several reforms in line with her election campaign.
Amongst the largest and controversial ones are: Tax increase (4%)3; Free Education (tertiary); a
land reform (draft) and an all-‐new QMB15 program (Consejo Nacional de Desarrollo Urbano,
CNDU, 2015). The later policies are of particular importance to the essays conclusion. The new
land reform policy organized by the CNDU is well intended as it recognizes the priority and main
problems that inequality causes (in rather amazing similitude with this essay) but it limits its
actions to physical in the city such as the size limit of land plots, which is particularly frustrating,
as it should include changes in the institutional framework for planning.
Prolonged social work
Not all is bad, the program QMB15 is reinstated with changes like prolonged stay in the
neighbourhoods to improve its cohesion after the physical works are completed. Though its
approach remains mainly physical in investment, in includes a new focus in cooperation and
community link strengthening, adopting many of the practices of Fundacion Mi Parque.
It is the work of private start up foundations aiming to improve societies cohesion like “Mi
Parque” and competitivity like “Proyecto B” which in turn improve the capacity of the state
providing new policies and practices. This comes to shows that it is an overall cooperative spirit
and a competition for the best resulting methods what will allow to effectively face the dantesque
task that urban inequality poses for development.
Regional planning
Given the social nature of the problems inequality generates it is relevant to take care on the
scale of the policy which the national commission for urban development proposes theoretically
but fails to produce any changes in the legislation for it to happen. For example: Implementing
unban policies like housing subsidies, health services, education and investment in only one city
and not nation wide, if successful will cause the city to attract more population, as the citizens in
this location enjoy more benefits or higher income that what they currently do.
A strong proof of this is Chinas special economic zones that attract forging investment and
created jobs in the costal cities causing the migration of almost 300 million workers (National
3 Mainly tax over the retune of investment and manufacturing. Income tax represents a small
fraction of fiscal revenue.
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Bureau of Statistics of China, 2013). Another example of how the unequal application of policies
can unbalance the natural city size is ancient Rome. Which at its peak hosted almost 1 million in
habitants, from the original 300 thousand before the free oil bread and circus was instated
(Glaeser & Ades, Trade and Circuses: Explaining Urban Giants, 1995)
Urban planning and policy must also be looked at a regional and national scale to produce better
effects of social cooperation and competition. As seen in evolutionary biology cooperation lets us
achieve more only when sharing a common goal, either an enemy or need. Inter city competition
might initially look as a waste of resources ( (Basolo, 1999)) but it can allow the incentive to
improve local capital, organizational skills and more importantly unite the city, this in turn could
reduce inequality by increasing cooperation. Naturally the recommendation is not to wage war
between cities, but football matches proof very effective in this matter. The national state policy
in the case of Chile should loose centrality and allow local governance to shape up, and mediate
as a sort of safety playground keeper.
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