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06/10 updates
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•	Notes and sources in bold
•	Box with territorial definitions at bottom
•	Space between source and text
•	Chart title in one line
•	Remove “series”
•	Remove “category”
•	Update format for Figure 4 on share of workers
•	Update data for Figure 3 on evolution of productivity
•	Standardise year series (5y) + baseline at 1 in Figure 1
•	Update “The” for relevant countries
•	Change time series for Fig 1 for Australia
•	Update text for some TL3 countries missing data in Figure 2
•	Change text for Fig 1 for UK
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Taina.SOUZAPACHECO committed Oct 6, 2023
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79 changes: 45 additions & 34 deletions 00_UPDATE_THIS_country_template_tl2.qmd
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Expand Up @@ -41,28 +41,6 @@ clrs5 <- tintin_colours$red_rackhams_treasure
</tbody>
</table>

<table style="margin-left:66.1pt;border-collapse:collapse" cellspacing="0" cellpadding="0" border="0">
<tbody>
<tr>
<td style="width:467.5pt;border:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt" width="623" valign="top">
<p class="MsoNormal" style="background:#d4edff"><b><span style="font-size:9.0pt;color:#212529">Territorial definitions</span></b><u></u><u></u></p>
<p class="MsoNormal" style="margin:2.4pt;background:white"><span style="font-size:9.0pt;color:#212529">The data in this note reflect different sub-national geographic levels in OECD countries:</span>
<ul style=“list-style-type:circle;font-size:9.0pt;color:#212529”>
<li><strong>Regions</strong>: are classified on two territorial levels reflecting the administrative organisation of countries: large regions (TL2) and small regions (TL3). Small regions are classified according to their access to metropolitan areas (Fadic et al. 2019).</li>
<li><strong>Functional urban areas</strong> consist of cities – defined as densely populated local units with at least 50 000 inhabitants – and adjacent local units connected to the city (commuting zones) in terms of commuting flows (Dijkstra, Poelman, and Veneri 2019). Metropolitan areas refer to functional urban areas above 250 000 inhabitants.</li></ul></p>

<p class="MsoNormal" style="margin:2.4pt;background:white"><span style="font-size:9.0pt;color:#212529">In addition, some indicators use the degree of urbanisation classification (OECD et al. 2021), which defines three types of areas:</span>
<ul style=“list-style-type:circle;font-size:9.0pt;color:#212529”>
<li><strong>Cities</strong> consist of contiguous grid cells that have a density of at least 1 500 inhabitants per km2 or are at least 50% built up, with a population of at least 50 000.</li>
<li><strong>Towns and semi-dense areas</strong> consist of contiguous grid cells with a density of at least 300 inhabitants per km2 and are at least 3% built up, with a total population of at least 5 000.</li>
<li><strong>Rural areas</strong> are cells that do not belong to a city or a town and semi-dense area. Most of these have a density below 300 inhabitants per km2.</li></ul></p>

<p class="MsoNormal" style="margin:2.4pt;background:white"><span style="font-size:9.0pt;color:#212529">Disclaimer: <a href="https://oecdcode.org/disclaimers/territories.html" target="_blank"><i><span style="color:#0d6efd">https://oecdcode.org/disclaimers/territories.html</span></i></a></span><u></u><u></u></p>
</td>
</tr>
</tbody>
</table>

## Overview

```{r tbl}
Expand Down Expand Up @@ -218,7 +196,7 @@ fig1 <- summary_wide %>%
scale_colour_manual(values = clrs2) +
scale_x_continuous(expand = c(0, 0)) +
labs(
title = "Figure 1: Trends in GDP per capita inequality indicators,\nTL2 OECD regions",
title = "Figure 1: Trends in GDP per capita inequality indicators, TL2 OECD regions",
x = "",
y = sprintf("Statistic (%s=1)", min_y),
linetype = "",
Expand Down Expand Up @@ -330,11 +308,13 @@ ggplotly(fig1) %>%
```

<div class="oecdnote">
**Note**: Based on 1 586 TL3 regions in 27 countries with available data (no TL3 data (continuous time series for more than 1 region) for Australia, Canada, Chile, Colombia, Costa Rica, Iceland, Ireland, Israel, Mexico, Luxembourg and Switzerland). Between Theil measures the dissimilarity of the national GDP per capita means with respect to the OECD average. Within Theil measures the dissimilarity between regional and national GDP per capita.

Source: OECD Regional Database (2022).
**Note**: Based on 1 586 TL3 regions in 27 countries with available data (no TL3 data (continuous time series for more than 1 region) for Australia, Canada, Chile, Colombia, Costa Rica, Iceland, Ireland, Israel, Mexico, Luxembourg and Switzerland). Between Theil measures the dissimilarity of the national GDP per capita means with respect to the OECD average. Within Theil measures the dissimilarity between regional and national GDP per capita.<br>
**Source**: OECD Regional Database (2022).
</div>

<br>
<br>

```{r fig2}
# read ----
Expand Down Expand Up @@ -403,7 +383,7 @@ fig2 <- dp11 %>%
theme_oecd(base_size = 10) +
scale_colour_manual(values = clrs3[1:2]) +
labs(
x = "", y = "Productivity (2015 USD PPP)", colour = "Series",
x = "", y = "Productivity (2015 USD PPP)", colour = "",
title = "Figure 2: Evolution of labour productivity, TL2 regions"
) +
scale_x_continuous(labels = as.character(yrs), breaks = yrs) +
Expand Down Expand Up @@ -437,11 +417,13 @@ ggplotly(fig2) %>%
```

<div class="oecdnote">
**Note**: Labour productivity for high productivity (low productivity) regions is equal to the sum of Gross Value Added across high productivity (low productivity) regions in a country/year divided by the sum of Employment across high productivity (low productivity) regions in a country/year. Gross Value Added is expressed in USD 2015 PPP. Regions are at the TL2 level for Australia, Canada, Chile, Colombia, Ireland, Mexico, Norway, Switzerland, Türkiye and the United States. A region is defined as high productivity if its productivity was equal or above the country median for at least two years out of the first four years of each region’ observation period, and low productivity otherwise. The starting year is the first available year for each country.

Source: OECD Regional Database (2022).
**Note**: Labour productivity for high productivity (low productivity) regions is equal to the sum of Gross Value Added across high productivity (low productivity) regions in a country/year divided by the sum of Employment across high productivity (low productivity) regions in a country/year. Gross Value Added is expressed in USD 2015 PPP. Regions are at the TL2 level for Australia, Canada, Chile, Colombia, Ireland, Mexico, Norway, Switzerland, Türkiye and the United States. A region is defined as high productivity if its productivity was equal or above the country median for at least two years out of the first four years of each region’ observation period, and low productivity otherwise. The starting year is the first available year for each country.<br>
**Source**: OECD Regional Database (2022).
</div>

<br>
<br>

```{r fig3}
# read ----
Expand Down Expand Up @@ -606,7 +588,7 @@ fig3 <- dp21_2 %>%
scale_fill_manual(values = clrs4[1:4]) +
labs(
x = "", y = "Employment share (%)", color = "",
title = "Figure 3: Evolution of sectoral specialisation in tradable sectors,\nTL2 regions"
title = "Figure 3: Evolution of sectoral specialisation in tradable sectors, TL2 regions"
) +
facet_wrap(~category1) +
# hide fill from legend
Expand All @@ -626,13 +608,42 @@ ggplotly(fig3) %>%
```

<div class="oecdnote">
**Note**: The employment share for high productivity (low productivity) regions in a given sector is defined as total employment across high productivity (low productivity) regions in a sector/year divided by total employment across high productivity (low productivity) regions in a year. Regions are at the TL2 level for Australia, Canada, Chile, Ireland, Mexico, Norway, Switzerland, Türkiye and the United States. A region is defined as high productivity if its productivity was equal or above the country median for at least two years out of the first four years of each region’ observation period, and low productivity otherwise. The tradable goods sector includes Mining and quarrying (B), Manufacturing (C), Electricity, gas, steam and air conditioning supply (D) and Water supply; sewerage; waste management and remediation activities (E) NACE macro sectors. Tradable services include Information and communication (J), Financial and insurance activities (K), Real estate activities (L), Professional, scientific and technical activities (M), Administrative and support service activities (N). The starting year is the first available year for each country.

Source: OECD Regional Database (2022).
**Note**: The employment share for high productivity (low productivity) regions in a given sector is defined as total employment across high productivity (low productivity) regions in a sector/year divided by total employment across high productivity (low productivity) regions in a year. Regions are at the TL2 level for Australia, Canada, Chile, Ireland, Mexico, Norway, Switzerland, Türkiye and the United States. A region is defined as high productivity if its productivity was equal or above the country median for at least two years out of the first four years of each region’ observation period, and low productivity otherwise. The tradable goods sector includes Mining and quarrying (B), Manufacturing (C), Electricity, gas, steam and air conditioning supply (D) and Water supply; sewerage; waste management and remediation activities (E) NACE macro sectors. Tradable services include Information and communication (J), Financial and insurance activities (K), Real estate activities (L), Professional, scientific and technical activities (M), Administrative and support service activities (N). The starting year is the first available year for each country. <br>
**Source**: OECD Regional Database (2022).
</div>

## Recent policy developments

```{r 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>
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