James B. Glattfelder: Who controls the world?

539,334 views ・ 2013-02-13

TED


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00:00
Translator: Joseph Geni Reviewer: Morton Bast
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Prevodilac: Nikola Mitrovic Lektor: Boško Eraković
''Kada je kriza stigla,
00:16
"When the crisis came,
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ozbiljna ograničenja postojeće ekonomije
00:18
the serious limitations of existing economic and financial models
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i finansijskih modela ubrzo su postala očigledna.''
00:23
immediately became apparent."
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"Takođe postoji jako ubeđenje, koje i ja delim
00:27
"There is also a strong belief, which I share,
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00:31
that bad or oversimplistic and overconfident economics
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da su loše ili prejednostavne i samosvesne ekonomije
00:36
helped create the crisis."
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pomogle stvaranje krize.''
00:38
Now, you've probably all heard of similar criticism
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Sada, verovatno ste svi čuli za slične kritike
koje dolaze od ljudi koji su skeptični zbog kapitalizma.
00:41
coming from people who are skeptical of capitalism.
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00:44
But this is different.
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Ali ovo je drugačije.
Ovo potiče iz srca finansija.
00:46
This is coming from the heart of finance.
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00:49
The first quote is from Jean-Claude Trichet
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Prvi citat je Žan-Klod Trišea
00:52
when he was governor of the European Central Bank.
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kada je bio guverner Evropske centralne banke
00:56
The second quote is from the head of the UK Financial Services Authority.
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Drugi citat je iz glave
upravnika Finansijskih usluga Ujedinjenog Kraljevstva.
01:02
Are these people implying
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Da li zapravo ovi ljudi nagoveštavaju
01:03
that we don't understand the economic systems
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da mi ne razumemo ekonomske sisteme
01:06
that drive our modern societies?
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koji upravljaju modernim društvima?
01:09
It gets worse.
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Postaje još gore.
01:11
"We spend billions of dollars
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''Mi trošimo milijarde dolara
01:13
trying to understand the origins of the universe,
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pokušavajući da razumemo poreklo univerzuma
dok još uvek ne razumemo ni uslove
01:17
while we still don't understand the conditions for a stable society,
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za stabilno društvo, za funkcionalnu ekonomiju ili za mir.''
01:23
a functioning economy, or peace."
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01:29
What's happening here? How can this be possible?
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Šta se ovde dešava? Da li je ovo moguće?
01:32
Do we really understand more about the fabric of reality
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Da li zaista razumemo više o materijalu stvarnosti
01:35
than we do about the fabric which emerges from our human interactions?
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nego što razumemo materijal
koji nastaje iz naših ljudskih interakcija?
01:39
Unfortunately, the answer is yes.
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Nažalost, odgovor je da.
01:42
But there's an intriguing solution
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Ali postoji intrigantno rešenje koje potiče
01:45
which is coming from what is known as the science of complexity.
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od onoga što je poznato kao nauka složenosti.
Da bi se objasnilo šta ovo znači i šta zapravo ovo jeste,
01:51
To explain what this means and what this thing is,
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01:53
please let me quickly take a couple of steps back.
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molim vas, dopustite mi da se za čas vratim nekoliko koraka unazad.
Igrom slučaja završio sam u fizici.
01:57
I ended up in physics by accident.
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01:59
It was a random encounter when I was young,
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To je bio slučajan susret kada sam bio mlad,
02:02
and since then, I've often wondered about the amazing success of physics
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i od tada, često sam se pitao
o neverovatnom uspehu fizike
prilikom opisivanja stvarnosti u kojoj se budimo svakog dana.
02:07
in describing the reality we wake up in every day.
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U suštini, možete razmišljati o fizici na sledeći način.
02:11
In a nutshell, you can think of physics as follows.
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02:14
So you take a chunk of reality you want to understand
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Uzmete komad stvarnosti koju želite da razumete
02:17
and you translate it into mathematics.
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i to onda prevodite u matematiku.
Kodirate ga u jednačine.
02:21
You encode it into equations.
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02:24
Then, predictions can be made and tested.
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Tada se predviđanja mogu obaviti i testirati.
02:28
We're actually really lucky that this works,
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Mi smo zapravo veoma srećni što ovo radi,
02:30
because no one really knows why the thoughts in our heads
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zbog toga što niko zaista ne zna zašto bi misli u našim glavama
02:33
should actually relate to the fundamental workings of the universe.
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trebalo zapravo da imaju veze sa fundamentalnim radom univerzuma.
02:39
Despite the success, physics has its limits.
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Uprkos uspehu, fizika ima svoja ograničenja.
02:42
As Dirk Helbing pointed out in the last quote,
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Kao što je Dirk Helbing naglasio u poslednjem citatu,
mi ne shvatamo istinski složenost
02:46
we don't really understand the complexity that relates to us, that surrounds us.
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koja ima veze s nama, koja nas okružuje.
02:51
This paradox is what got me interested in complex systems.
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Ovaj paradoks me je zainteresovao za kompleksne sisteme.
02:55
So these are systems which are made up
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Dakle, ovo su sistemi koji su stvoreni
02:57
of many interconnected or interacting parts:
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od više međusobno povezanih ili interaktivnih delova:
03:01
swarms of birds or fish,
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najezde ptica ili riba, kolonije mrava,
03:04
ant colonies, ecosystems, brains, financial markets.
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ekosistemi, mozgovi, finansijska tržišta.
03:08
These are just a few examples.
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Ovo je samo nekoliko primera.
03:12
Interestingly, complex systems are very hard to map
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Zanimljivo, složeni sistemi su veoma teški za mapiranje
03:18
into mathematical equations,
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u matematičke jednačine,
03:20
so the usual physics approach doesn't really work here.
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tako da uobičajeni fizički pristup ovde baš i ne funkcioniše.
03:24
So what do we know about complex systems?
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Pa šta mi znamo o složenim sistemima?
03:26
Well, it turns out that what looks like complex behavior from the outside
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Pa, ispostavlja se da ono što izgleda kao složeno ponašanje
spolja je zapravo rezultat
03:32
is actually the result of a few simple rules of interaction.
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nekoliko jednostavnih pravila interakcije.
Ovo znači da možete zaboraviti na jednačine
03:38
This means you can forget about the equations
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03:42
and just start to understand the system
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i početi samo da razumete sistem
posmatrajući interakcije,
03:44
by looking at the interactions,
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03:46
so you can actually forget about the equations
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pa možete zapravo zaboraviti jednačine
03:49
and you just start to look at the interactions.
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i početi samo da posmatrate interakcije.
03:51
And it gets even better, because most complex systems
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I čak postaje bolje, jer većina složenih sistema
03:54
have this amazing property called emergence.
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poseduje to neverovatno svojstvo koje se zove ispoljavanje.
03:57
So this means that the system as a whole suddenly starts to show a behavior
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Tako da ovo znači da sistem kao celina
iznenada počinje da pokazuje ponašanje
04:02
which cannot be understood or predicted
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koje ne može biti razumljivo ili predviđeno
04:05
by looking at the components of the system.
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posmatranjem delova sistema.
04:07
So the whole is literally more than the sum of its parts.
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Dakle celina je bukvalno više od zbira njenih delova.
04:11
And all of this also means
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I sve ovo takođe znači da možete zaboraviti
04:13
that you can forget about the individual parts of the system,
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pojedinačne delove sistema, koliko su oni složeni.
04:18
how complex they are.
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04:19
So if it's a cell or a termite or a bird,
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I ako je to ćelija ili termit ili ptica,
04:24
you just focus on the rules of interaction.
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samo se fokusirate na pravila o interakciji.
Kao rezultat, mreže su idealan pokazatelj
04:29
As a result, networks are ideal representations of complex systems.
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složenih sistema.
Čvorovi u mreži
04:36
The nodes in the network are the system's components,
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su komponente sistema
i veze su date interakcijama.
04:42
and the links are given by the interactions.
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04:45
So what equations are for physics,
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Dakle ono što su jednačine za fiziku,
04:48
complex networks are for the study of complex systems.
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to su složene mreže za učenje složenih sistema.
04:52
This approach has been very successfully applied
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Ovaj pristup je bio veoma uspešno primenjen
04:56
to many complex systems in physics, biology,
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na mnogim složenim sistemima u fizici, biologiji,
04:59
computer science, the social sciences,
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kompjuterskim naukama, socijalnim naukama,
05:02
but what about economics?
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ali šta je sa ekonomijom?
05:04
Where are economic networks?
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Gde su ekonomske mreže?
05:07
This is a surprising and prominent gap in the literature.
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Ovo je iznenađujuć i značajan jaz u literaturi.
Istraživanje koje smo objavili prošle godine, pod nazivom
05:12
The study we published last year, called "The Network of Global Corporate Control,"
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''Mreža globalne korporativne kontrole'',
bilo je prva obimna analiza ekonomskih mreža.
05:18
was the first extensive analysis of economic networks.
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05:23
The study went viral on the Internet
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Studija je bila dostupna na internetu
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and it attracted a lot of attention from the international media.
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i privukla je mnogo pažnje internacionalnih medija.
05:31
This is quite remarkable, because, again, why did no one look at this before?
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Ovo je prilično izvanredno, zato što, opet,
zašto niko nije pogledao ovo ranije?
05:35
Similar data has been around for quite some time.
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Slični podaci su bili tu duže vreme.
05:38
What we looked at in detail was ownership networks.
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Ono što smo detaljno posmatrali bile su vlasničke mreže.
Dakle ovde su čvorovi kompanije, ljudi, vlade
05:44
So here the nodes are companies, people, governments, foundations, etc.
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fondacije, itd.
05:51
And the links represent the shareholding relations,
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I veze predstavljaju akcionarske odnose,
05:54
so shareholder A has x percent of the shares in company B.
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tako da akcionar A ima x procenata deonica u kompaniji B.
05:59
And we also assign a value to the company given by the operating revenue.
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I mi takođe dodeljujemo vrednost kompaniji
datu putem operativnog prihoda.
Dakle vlasničke mreže otkrivaju obrasce
06:05
So ownership networks reveal the patterns of shareholding relations.
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akcionarskih veza.
U ovom malu primeru, možete videti
06:11
In this little example, you can see a few financial institutions
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nekoliko finansijskih institucija
sa nekim od mnoštva istaknutih veza.
06:15
with some of the many links highlighted.
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06:19
Now, you may think that no one looked at this before
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E sad, možete pomisliti da niko nije razmišljao o ovome ranije
06:21
because ownership networks are really, really boring to study.
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zbog toga što su vlasničke mreže
veoma, veoma dosadne za proučavanje.
06:27
Well, as ownership is related to control,
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Dakle, kako je vlasništvo vezano za kontrolu,
06:31
as I shall explain later,
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kao što ću objasniti kasnije,
06:32
looking at ownership networks
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gledajući na vlasništva mreža
06:34
actually can give you answers to questions like,
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zapravo vam mogu dati odgovore na pitanja kao što su,
06:36
who are the key players?
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ko su glavni igrači?
06:38
How are they organized? Are they isolated?
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Kako su oni organizovani? Jesu li izolovani?
06:40
Are they interconnected?
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Jesu li međusobno povezani?
06:42
And what is the overall distribution of control?
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I šta je ukupna raspodela kontrole?
06:46
In other words, who controls the world?
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Drugim rečima, ko kontroliše svet?
06:49
I think this is an interesting question.
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Mislim da je ovo zanimljivo pitanje.
I ima posledice za sistemski rizik.
06:52
And it has implications for systemic risk.
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Ovo je mera za to koliko je ranjiv sistem u celini.
06:56
This is a measure of how vulnerable a system is overall.
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Visok stepen međusobnog povezivanja
07:02
A high degree of interconnectivity can be bad for stability,
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može biti loš za stabilnost,
07:06
because then the stress can spread through the system like an epidemic.
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jer se onda stres može širiti kroz sistem,
kao epidemija.
07:13
Scientists have sometimes criticized economists
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Naučnici su ponekad kritikovali ekonomiste
koji veruju da su ideje i koncepti
07:16
who believe ideas and concepts are more important than empirical data,
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važniji od empirijskih podataka,
07:21
because a foundational guideline in science is:
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jer je temeljna smernica u nauci:
Pustimo podatke da govore. Ok. Uradimo to.
07:25
Let the data speak. OK. Let's do that.
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07:27
So we started with a database containing 13 million ownership relations from 2007.
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Tako smo počeli sa bazom podataka koja sadrži
13 miliona vlasničkih odnosa od 2007.
07:34
This is a lot of data, and because we wanted to find out
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Ovo je mnogo podataka i zbog toga što smo želeli otkriti,
ko vlada svetom,
07:38
"who rules the world,"
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odlučili smo da se fokusiramo na transnacionalne korporacije
07:40
we decided to focus on transnational corporations,
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07:43
or "TNCs," for short.
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ili skraćeno TNC.
07:45
These are companies that operate in more than one country,
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Ovo su kompanije koje posluju u više od jedne države,
07:48
and we found 43,000.
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i mi smo ih našli 43.000.
U sledećem koraku, izgradili smo mrežu oko ovih kompanija,
07:52
In the next step, we built the network around these companies,
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07:55
so we took all the TNCs' shareholders,
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tako da smo uzeli TNC-ove akcionare,
07:57
and the shareholders' shareholders, etc.,
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i akcionarske akcionare itd.,
07:59
all the way upstream, and we did the same downstream,
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sve uzvodno i uradili smo isto nizvodno
08:02
and ended up with a network containing 600,000 nodes
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i završilo se mrežom koja sadrži 600.000 čvorova
08:06
and one million links.
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i milion veza.
08:08
This is the TNC network which we analyzed.
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Ovo je TNC-ova mreža koju smo analizirali.
I ispostavlja se da je struktuirana na sledeći način.
08:12
And it turns out to be structured as follows.
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08:14
So you have a periphery and a center
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Dakle, imate periferiju i centar
08:17
which contains about 75 percent of all the players,
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koji sadrže oko 75 procenata svih igrača
i u centru se nalazi ovo malo ali dominantno jezgro
08:22
and in the center, there's this tiny but dominant core
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koje je napravljeno od snažno povezanih kompanija.
08:26
which is made up of highly interconnected companies.
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08:30
To give you a better picture,
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Da biste dobili jasniju sliku,
08:32
think about a metropolitan area.
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razmislite o području jedne metropole.
08:34
So you have the suburbs and the periphery,
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Dakle imate predgrađa i periferiju,
08:36
you have a center, like a financial district,
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imate centar kao finansijsku oblast,
08:39
then the core will be something like
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onda bi jezgro bilo nešto kao
08:40
the tallest high-rise building in the center.
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najviša zgrada u centru.
08:44
And we already see signs of organization going on here.
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I već vidimo znake organizacije koja se ovde dešava.
08:49
36 percent of the TNCs are in the core only,
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Trideset šest procenata TNC-ova su samo u srži,
08:54
but they make up 95 percent of the total operating revenue of all TNCs.
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ali oni čine 95 procenata ukupnog operativnog prihoda
celog TNC-a.
U redu, sada smo analizirali strukturu,
09:02
OK, so now we analyzed the structure,
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09:04
so how does this relate to the control?
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kako se onda ovo odnosi na kontrolu?
09:08
Well, ownership gives voting rights to shareholders.
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Dakle, vlasništvo daje pravo glasa akcionarima.
09:12
This is the normal notion of control.
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Ovo je normalna predstava kontrole.
I takođe postoje različiti modeli koji vam dozvoljavaju da računate
09:15
And there are different models
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09:16
which allow you to compute the control you get from ownership.
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kontrolu koju dobijate od vlasništva.
Ako imate više od 50 procenata akcija u kompaniji,
09:21
If you have more than 50 percent of the shares in a company,
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dobijate i kontrolu,
09:24
you get control,
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09:25
but usually, it depends on the relative distribution of shares.
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ali najčešće to zavisi od relativne raspodele akcija.
09:30
And the network really matters.
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I mreža je zaista bitna.
09:33
About 10 years ago, Mr. Tronchetti Provera
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Pre oko 10 godina, g-din Tronketi Provera
je posedovao i kontrolisao malu kompaniju,
09:36
had ownership and control in a small company,
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09:39
which had ownership and control in a bigger company.
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koja je posedovala i kontrolisala veću kompaniju.
Shvatate ideju.
09:43
You get the idea.
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09:44
This ended up giving him control in Telecom Italia with a leverage of 26.
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Ovo se završilo dajući mu kontrolu u italijanskom telekomu
sa leveridžom od 26.
09:51
So this means that, with each euro he invested,
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Tako da ovo znači da, sa svakim eurom koji je uložio,
09:55
he was able to move 26 euros of market value
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on je bio u stanju da pomera 26 eura tržišne vrednosti
kroz lanac vlasničkih odnosa.
09:59
through the chain of ownership relations.
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10:02
Now what we actually computed in our study was the control over the TNCs' value.
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Ono što smo zapravo izračunali u našoj studiji
jeste kontrola preko TNC-ove vrednosti.
Ovo nam je omogućilo da odredimo stepen uticaja
10:09
This allowed us to assign a degree of influence to each shareholder.
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na svakom akcionaru.
Ovo je veoma mnogo u smislu
10:15
This is very much in the sense of Max Weber's idea of potential power,
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ideje Maksa Vebera o potencijalnoj moći,
koja je verovatnoća nametanja volje pojedinca
10:20
which is the probability of imposing one's own will
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10:23
despite the opposition of others.
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uprkos otporu ostalih.
10:27
If you want to compute the flow in an ownership network,
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Ako želite da izračunate protok u vlasničkoj mreži,
10:32
this is what you have to do.
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evo šta treba da uradite.
10:33
It's actually not that hard to understand.
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To zapravo nije toliko teško za razumevanje.
10:36
Let me explain by giving you this analogy.
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Dozvolite da vam objasnim kroz ovo poređenje.
Dakle pomislite o protoku vode kroz cevi
10:39
So think about water flowing in pipes, where the pipes have different thickness.
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gde su cevi različite debljine.
10:44
So similarly, the control is flowing in the ownership networks
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Slično tome, kontrola teče u vlasničkim mrežama
i sakuplja se u čvorovima.
10:50
and is accumulating at the nodes.
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10:54
So what did we find after computing all this network control?
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Dakle šta smo pronašli nakon obračunavanja sve ove mrežne kontrole?
Pa, ispostavlja se da 737 najvećih akcionara
10:58
Well, it turns out that the 737 top shareholders
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11:03
have the potential to collectively control 80 percent of the TNCs' value.
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ima potencijal da kolektivno upravlja
sa 80 procenata TNC-ove vrednosti.
11:10
Now remember, we started out with 600,000 nodes,
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Sada zapamtite, započeli smo sa 600.000 čvorova,
11:13
so these 737 top players make up a bit more than 0.1 percent.
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tako da ovih 737 najvećih igrača
čini malo više od 0,1 procenta.
11:21
They're mostly financial institutions in the US and the UK.
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To su uglavnom finansijske institucije u SAD i Ujedinjenom Kraljevstvu.
11:26
And it gets even more extreme.
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I sve ovo postaje ekstremnije.
Ima 146 najboljih igrača u središtu
11:29
There are 146 top players in the core,
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i oni zajedno imaju mogućnost da zajednički upravljaju
11:34
and they together have the potential to collectively control
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11:37
40 percent of the TNCs' value.
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sa 40 procenata TNC-ove vrednosti.
Šta bi trebalo da ponesete kući od svega ovoga?
11:43
What should you take home from all of this?
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11:45
Well, the high degree of control you saw is very extreme by any standard.
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Pa, visok stepen kontrole koji ste videli
je veoma ekstreman po svim standardima.
Visok stepen međusobne povezanosti
11:54
The high degree of interconnectivity of the top players in the core
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najboljih igrača u jezgru
može predstavljati značajan sistemski rizik za globalnu ekonomiju
11:59
could pose a significant systemic risk to the global economy.
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i mogli bismo lako povratiti TNC mrežu
12:05
And we could easily reproduce the TNC network
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12:07
with a few simple rules.
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uz nekoliko jednostavnih pravila.
Ovo znači da su te strukture verovatno rezultat
12:10
This means that its structure is probably the result of self-organization.
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samoorganizovanja.
Ovo je vanredno vlasništvo koje zavisi
12:14
It's an emergent property which depends on the rules of interaction in the system,
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od pravila saradnje u sistemu,
12:19
so it's probably not the result of a top-down approach
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tako da verovatno nije rezultat pristupa od vrha na dole
12:23
like a global conspiracy.
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kao globalne zavere.
Naša studija ''je utisak površine meseca.
12:27
Our study "is an impression of the moon's surface.
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12:29
It's not a street map."
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To nije ulična mapa.''
12:31
So you should take the exact numbers in our study with a grain of salt,
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Tako da bi trebalo da uzmete tačan broj u našoj studiji
sa rezervom,
12:35
yet it "gave us a tantalizing glimpse of a brave new world of finance."
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ipak, on ''nam daje mučan pregled
vrlog novog sveta finansija.''
Nadamo se da smo otvorili vrata za više istraživanja u ovom pravcu
12:43
We hope to have opened the door for more such research in this direction,
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12:47
so the remaining unknown terrain will be charted in the future.
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pa će preostali nepoznat teren biti ucrtan u budućnosti.
12:52
And this is slowly starting.
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I ovo polako uzima maha.
12:53
We're seeing the emergence of long-term and highly-funded programs
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Mi vidimo hitnost dugoročnih
i dobro finansiranih programa čiji cilj je razumevanje
12:59
which aim at understanding our networked world
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našeg umreženog sveta s tačke gledišta složenosti.
13:02
from a complexity point of view.
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Ali ovo je putovanje upravo počelo,
13:05
But this journey has only just begun,
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13:06
so we will have to wait before we see the first results.
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pa ćemo morati da čekamo pre nego vidimo prve rezultate.
13:12
Now there is still a big problem, in my opinion.
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Postoji još uvek veliki problem, po mom mišljenju.
Ideje u vezi sa finansijama, ekonomijom, politikom,
13:16
Ideas relating to finance, economics, politics, society,
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društvom, su veoma često ukaljane
13:22
are very often tainted by people's personal ideologies.
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ličnim ljudskim ideologijama.
13:28
I really hope that this complexity perspective
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Zaista se nadam da ova perspektiva složenosti
13:32
allows for some common ground to be found.
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omogućava pronalazak neke zajedničke osnove.
Bilo bi stvarno odlično ako bi imala moć
13:38
It would be really great if it has the power
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13:40
to help end the gridlock created by conflicting ideas,
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da pomogne prekid zastoja nastao suprotstavljanjem ideja,
13:45
which appears to be paralyzing our globalized world.
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koji izgleda paralizuje naš globalizovani svet.
13:50
Reality is so complex, we need to move away from dogma.
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Stvarnost je veoma složena, moramo se izmaći od dogmi.
13:55
But this is just my own personal ideology.
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Ali ovo je samo moja lična ideologija.
13:58
Thank you.
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Hvala vam.
13:59
(Applause)
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(Aplauz)
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