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tl0-lux.qmd
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tl0-lux.qmd
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```{r lux_ctry}
ctry <- "LUX"
ctry2 <- "Luxembourg"
```
# Luxembourg
```{r lux_pkgs}
library(oecdcountryprofiles)
library(dplyr)
library(tidyr)
library(ggplot2)
library(patchwork)
library(oecdplot)
library(knitr)
library(readxl)
library(janitor)
library(stringr)
library(readr)
library(tintin)
load_oecd_fonts()
missing_reg <- c("ITG2F")
excl_countries <- c("LUX", "IRL")
clrs <- tintin_colours$the_black_island
clrs2 <- tintin_colours$the_blue_lotus
clrs3 <- tintin_colours$the_red_sea_sharks
clrs4 <- tintin_colours$the_calculus_affair
clrs5 <- tintin_colours$red_rackhams_treasure
```
<table border="1" style="width:75%;margin-left:auto;margin-right:auto;">
<tr>
<th colspan="2" style="background:#fff9e6; padding:10px;font-size:9.0pt;" valign="center">
OECD Regional Outlook
</th>
</tr>
<tr>
<td>
<img style="padding:10px;" src="RO2023_cover.jpg" alt="OECD Regional Outlook 2023" height="200"/>
</td>
<td>
<p style="padding:10px;font-size:9.0pt;">The OECD <a href="https://www.oecd-ilibrary.org/urban-rural-and-regional-development/oecd-regional-outlook_2dafc8cf-en" target="_blank"><i style="color:#0d6efd">Regional Outlook</i></a> reviews recent trends, policy developments, and prospects across OECD regions, including the underlying causes driving regional inequalities in performance and well-being. The report offers evidence, guidance and policy recommendations on how to improve competitiveness and productivity, promote inclusive growth, accelerate the net-zero transition and raise well-being standards through effective regional development policy and multi-level governance.</p>
</td>
</tr>
</table>
## Overview
```{r lux_tbl}
read_html_table(ctry)
```
## Recent policy developments
```{r lux_txt}
read_html_text(ctry)
```
<table border="1" style="width:75%;margin-left:auto;margin-right:auto;">
<tr>
<th style="background:#d4edff; padding:10px;font-size:9.0pt;" valign="center">
Territorial definitions
</th>
</tr>
<tr>
<td>
<p style="padding-left:10px;padding-right:10px;padding-top:10px;font-size:9.0pt;">
The data in this note reflect different sub-national geographic levels in OECD countries. In particular, <b>regions</b> are classified on two territorial levels reflecting the administrative organisation of countries: large regions (TL2) and small regions (TL3).
</p>
<p style="padding-left:10px;padding-right:10px;font-size:9.0pt;">
Small regions are classified according to their access to metropolitan areas (Fadic et al. 2019). The typology classifies small (TL3) regions into metropolitan and non-metropolitan regions according to the following criteria:
</p>
<ul style="list-style-type:circle;font-size:9.0pt;padding-right:10px">
<li>
<b>Metropolitan regions</b>, if more than half of the population live in a FUA. Metropolitan regions are further classified into: <b>metropolitan large</b>, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and <b>metropolitan midsize</b>, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.
</li>
<li>
<b>Non-metropolitan regions</b>, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: <b>near a midsize/large FUA</b> if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; <b>near a small FUA</b> if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and <b>remote</b>, otherwise.
</li>
</ul>
</p>
<p style="padding-left:10px;padding-right:10px;font-size:9.0pt;">
Disclaimer: <a href="https://oecdcode.org/disclaimers/territories.html" target="_blank"><i style="color:#0d6efd">https://oecdcode.org/disclaimers/territories.html</i></a>
</p>
</td>
</tr>
</table>