These kinds of charts are a bit dangerous, as it will be used by anti-EU folk in net contributing countries to say look at how much money we can save when we leave the EU. But this looks only at money being shipped back and forth. The EU has so much benefits in terms of trade and collaboration, it's a steal at any price.
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All people have to do to refute the leavers is point to the UK
These people are usually reality deniers, so showing them anything is a no go.
And you know how they do it too.
First they do a whole FUD campaign, which get the people riled up and polarized. Up till the point that it doesn't matter what the truth is, it's tribalism, us against them etc. This phase is in full swing in Europe right now. Next they say well what if we do a non binding referendum? It shows the people we are actively taking an interest and we get to see what people think. If everyone votes remain, the issue is done and buried. Then leading up to the referendum they do a massive misinformation campaign, with TV ads, social media ads and posts, etc. Everything they can do to misinform the public, with Russia footing the bill for most of it. Most people aren't interested enough to dive into such a complex topic (and I don't blame them, it's very complicated), so they'll go off their gut and their gut is influenced by their experience in the world and on social media, so they will vote exit. After the referendum is done and the outcome is 50/50, they'll go yell: "THE PEOPLE HAVE SPOKEN". And before you know it your whole country goes to shit and you are leaving the EU and basically committing economic suicide. By the time people realize what happened, it's much too late and all the shitbags responsible have gone away.
If you told me this before Brexit, I would have laughed and told you it's total BS. But then it happened in real life and I don't know how to deal with that.
It would be interesting to see this chart when the UK was included.
The UK would have been on par with France.
Ugh this country is so dumb
๐ข
Exactly. Germany makes way more than 25 billion Euro by being able to freely trade with neighbours.
Also by improving struggling countries it means you have more and stronger markets to sell to. When you empower your neighboring countries everyone is safer and stronger.
But this looks only at money being shipped back and forth.
Not even that. It only looks at money being shipped back and forth via one specific channel.
Not surprised about Hungary, but hoooly FUCK, what's going on in Poland?
It's a big country with large regions that are still comparatively poor and agricultural. The latter two factors are what the EU pays for and the first works as a multiplicator.
Per capita it looks a bit different. According bpd.de the main recipient per capita in 2022 was Estonia with 677 Euros per capita and year and the main contributor is indeed Germany with 237 Euros. Poland "only" gets 279 Euros per person and year.
Agriculture is a great point overlooked in this chart.
EU puts a lot of money into this, and Poland being a great exporter for this, they also receives alot from EU to be able to do it.
Why are we doing it then, if it's a net negative? It's not, because we can all get our bread (literally) this way. And Poland farmers can make a living making the country richer.
All countries get agricultural subsidies and Poland is not one of the big ones. They sit on place 5 with all 4 before them production at least twice as much. (see here, page 10)
Would be nice to have the same data per capita.
statistia-netcontrib.csv
country,netcontrib
DE,25572
FR,12380
NL,6929
IT,3337
SE,2826
DK,1766
AT,1540
FI,1109
IE,703
MT,-14
CY,-172
SI,-386
EE,-729
LT,-860
SK,-1398
LV,-1544
BG,-1727
HR,-1746
ES,-1946
LU,-2020
CZ,-2853
BE,-2950
PT,-3132
RO,-4096
HU,-4206
GR,-4278
PL,-11910
eu-contribution-per-capita.r
if (!require("pacman")) install.packages("pacman")
pacman::p_load(
countrycode,
dplyr,
ggdark,
ggplot2,
r2country
)
abs <- read.csv("statista-netcontrib.csv",header = TRUE)
abs2 <- cbind(abs,name = countrycode(abs$country,"iso2c","country.name"))
df <- inner_join(country_names, abs2)
df2 <- inner_join(country_population, df)
df2$percap <- df2$netcontrib/df2$population2023*1000000
df3 <- arrange(df2,percap)
ggplot(df3, aes(x = percap, y = reorder(name, percap))) +
geom_bar(stat = "identity") +
dark_theme_gray() +
ylab("Country") +
xlab("Euros per capita") +
scale_x_continuous(breaks = scales::pretty_breaks(n = 20)) +
geom_text(aes(label = percap))
ggsave("euros-percap.png")
Sorry about the broken escaping of the angle brackets (โ<โ is โ<โ) in the source; Lemmy is, regrettably, broken on that at the moment.
EDIT: Fixed Latvia country code error.
EDIT2: And Austria country code error.
statistia-netcontrib.csv
is using some weird country code that isn't ISO 3166-2, because it's got what I assume to be Latvia with the code LA
which is actually Laos, and that's reflected on your chart too โ I was initially a bit puzzled as to why Laos was listed as being in the EU. At a quick glance it seems to be the only weird one though
That's just me not knowing my country codes. Over here, "LA" is generally Los Angeles. I'll fix it; thanks.
EDIT: Also, Austria appears to be "AT" rather than "AU". One more fix.
Ah I thought you pulled that from some Eurostat database and they were using wonky country codes. The AU / AT mixup is a classic one, and since the spelling of Austria and Australia is so close it's easy to miss that mistake โ just like I did
Also, a Markdown table rendition:
eu-contribution-per-capita-markdown.r
if (!require("pacman")) install.packages("pacman")
pacman::p_load(
countrycode,
dplyr,
r2country,
simplermarkdown
)
abs <- read.csv("statista-netcontrib.csv",header = TRUE)
abs2 <- cbind(abs,name = countrycode(abs$country,"iso2c","country.name"))
df <- inner_join(country_names, abs2)
df2 <- inner_join(country_population, df)
df2$percap <- df2$netcontrib/df2$population2023*1000000
df3 <- arrange(df2,-percap)
md_table(df3)
name | percap |
---|---|
Netherlands | 386.91124 |
Germany | 302.86855 |
Denmark | 297.09908 |
Sweden | 267.98643 |
Finland | 199.90810 |
France | 181.71677 |
Austria | 168.68113 |
Ireland | 136.52768 |
Italy | 56.76638 |
Malta | -26.94577 |
Spain | -40.25217 |
Slovenia | -182.27546 |
Cyprus | -187.34343 |
Romania | -214.99549 |
Belgium | -250.73894 |
Slovakia | -257.60767 |
Bulgaria | -267.84703 |
Portugal | -299.21568 |
Lithuania | -300.05251 |
Poland | -315.86485 |
Greece | -408.10926 |
Hungary | -438.25808 |
Croatia | -449.01298 |
Estonia | -533.72029 |
Latvia | -819.79399 |
Luxembourg | -3056.85909 |
This is very clever. Is Lemmy actually running the code to achieve this, or did you paste it just so other people can replicate the process?
Nah, I just pasted it so that other people can reproduce.
When you look closely, the most undemocratic of them are also taking the most money...
The only truly undemocratic country on that list is Hungary.
Poland isn't much better
We'll see, they just got a new governemnt, I hope the best for them.
Hoping for the best and preparing for the wost is the way of life.
As of now they are undemocratic as hell.
New PM is pro eu and the coalition is democratic. A lot of the judiciary corruption that happened is going to get reversed fast.
Day to day it's not really undemocratic, it was mostly about popular issues to solidify right wing outrage.
Still, I'm glad it's over.
We're there elections in Poland recently? What were the results?
Right "won" but progressives have a majority coalition that just elected a PM. We should be ok.
It's not all in leftism, but they are in the government, first time since before WW2.
In previous elections "left" was just previous regime surviviors.
Isn't a rotten apple enough to spoil the whole basket? At least we have this proverb in my country...
Meanwhile France is doing a police state and Italy elected fascists...
Luxembourg and Belgium?
Both host import EU institutions. The income they provide for the locals, possibly indirectly, is also seen as a benefit.
Strasbourg in France should also make a dent into France's contributions then. Would be nice to know how much it would be, without those things calculated in - sure they are?
Is the European Central Bank taken into consideration for Germany?
No clue
Is there some stomach-able raw data?
Because the presence of the EU institutions this brings a lot of money in the economy
Poland and hungary are constantly complaining about the EU and vetooing laws too
Interesting. The red bars almost exclusively belong to nations that had authoritarian single party government in the last half century.
When laid out like this you really see how deviating and long term the consequences of authoritarianism can be. Stable healthy democracy is a fucking superpower.
Would be interesting to see this info per capita.
Poland - Kentucky of EU