- It is not the countries with the low tax rates - which obtain new investment and new jobs - that threaten social protection.
- Det är inte länderna med de låga skattesatserna - som får nya investeringar och nya jobb - som hotar tryggheten.
- some are more efficient and lower tax rates can be applied, whereas others must offset a lesser degree of efficiency by imposing higher taxes.
- Skattekonkurrensen kan faktiskt vara positiv när den sker mellan skattesystem, en del är mer effektiva och tillåter lägre skattesatser, medan andra måste kompensera en sämre effektivitet med högre satser.
- For this reason it is wrong to target Luxembourg alone, which has a financial centre that is subject to strict regulations (on the laundering of money from drug trafficking, for example) and an efficient tax system that enables it to impose relatively low rates.
- Det är alltså missvisande att endast syfta på Luxemburg, vars affärsvärld är underställd strikta bestämmelser (t.ex. om tvätt av pengar som kommer från droghandel) och vars effektiva skattesystem tillåter det att ha relativt låga skattesatser.
- While I wholly support the subsidiarity principle and the sovereign right of Member States to set their own tax rates, I would suggest to Member States which have not as yet taken advantage of the facility for lower tax rates on labour-intensive, localised industries, to seriously consider doing so.
- Samtidigt som jag helt stöder subsidiaritetsprincipen och medlemsstaternas suveräna rätt att fastställa egna skattesatser vill jag föreslå de medlemsstater, som ännu inte har utnyttjat möjligheten till lägre skattesatser för arbetsintensiva, lokala industrier, att seriöst överväga det.
show query
SET search_path TO f9miniensv;
WITH
list AS (SELECT
t11.token_id AS t11,
t12.token_id AS t12,
t21.token_id AS t21,
t22.token_id AS t22,
r1.dep_id AS dep1,
r2.dep_id AS dep2
FROM
deprel r1
JOIN depstr s1 ON s1.dep_id = r1.dep_id
JOIN word_align a1 ON a1.wsource = r1.head AND a1.wsource < a1.wtarget
JOIN word_align a2 ON a2.wsource = r1.dependent
JOIN deprel r2 ON r2.head = a1.wtarget AND r2.dependent = a2.wtarget
JOIN depstr s2 ON s2.dep_id = r2.dep_id
JOIN token t11 ON t11.token_id = r1.head
JOIN token t21 ON t21.token_id = r2.head
JOIN token t12 ON t12.token_id = r1.dependent
JOIN token t22 ON t22.token_id = r2.dependent
WHERE
s1.val = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 21708 AND
t12.lemma_id = 42930 AND
t21.lemma_id = 51759 AND
t22.lemma_id = 48855),
stats AS (SELECT
sentence_id,
count(DISTINCT token_id) AS c,
count(*) AS c_aligned,
count(DISTINCT wtarget) AS c_target
FROM
token
LEFT JOIN word_align ON wsource = token_id
WHERE
sentence_id IN (
SELECT sentence_id
FROM
list
JOIN token ON token_id IN(t11, t21)
)
GROUP BY sentence_id),
numbered AS (SELECT row_number() OVER () AS i, *
FROM
list),
sentences AS (SELECT *, .2 * (1 / (1 + exp(max(c) OVER (PARTITION BY i) - min(c) OVER (PARTITION BY i)))) +
.8 * (1 / log(avg(c) OVER (PARTITION BY i))) AS w
FROM
(
SELECT i, 1 AS n, sentence_id, ARRAY[t11,t12] AS tokens
FROM
numbered
JOIN token ON token_id = t11
UNION SELECT i, 2 AS n, sentence_id, ARRAY[t21,t22] AS tokens
FROM
numbered
JOIN token ON token_id = t21
) x
JOIN stats USING (sentence_id)
ORDER BY i, n)
SELECT
i,
n,
w,
c,
c_aligned,
c_target,
sentence_id,
string_agg(CASE WHEN lpad THEN ' ' ELSE '' END || '<span class="token' ||
CASE WHEN ARRAY[token_id] <@ tokens THEN ' hl' ELSE '' END || '">' || val || '</span>',
'' ORDER BY token_id ASC) AS s
FROM
sentences
JOIN token USING (sentence_id)
JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;