Difference between revisions of "Socio-economic and environmental impact worldwide and on the European Union"

From National Atlas of Spain
Jump to: navigation, search
(33 intermediate revisions by 3 users not shown)
Line 1: Line 1:
{{ANEEtiqueta|palabrasclave=sección de la Monografía covid-19, sección I, pandemia, covid19, trabajo en el mundo, pobreza laboral en el mundo, horas de trabajo perdidas por COVID-19 en el mundo, PIB en el mundo, PIB en la Unión Europea, población parada en la Unión Europea, población ocupada en la Unión Europea, gases de efecto invernadero, emisiones de dióxido de carbono en el mundo, contaminación mundial en la pandemia|descripcion= Presentación cartográfica de los efectos sociales, económicos y ambientales en el mundo y en la Unión Europea|url=valor}}{{ANEObra|Serie=Monographs from the National Atlas of Spain|Logo=[[File:Logo Monografía.jpg|left|50x50px|link=]]|Título=The COVID-19 pandemic in Spain|Subtítulo=First wave: from the first cases to the end of June 2020|Año=2021|Contenido=New content}}
+
{{ANEEtiqueta|palabrasclave=part of COVID-19 monograph, part I, pandemic, covid19, work in the world, workers in poverty, lost working hours due to COVID-19 worldwide, Gross Domestic Product in the world, Gross Domestic Product in the European Union, unemployed in the European Union, employed in the European Union, greenhouse gas emissions, global carbon dioxide emissions, global contamination in the pandemic|descripcion= A cartographic presentation of the socio-economic and environmental impact worldwide and on the European Union|url=valor}}{{ANEObra|Serie=Monographs from the National Atlas of Spain|Logo=[[File:Logo Monografía.jpg|left|50x50px|link=]]|Título=The COVID-19 pandemic in Spain|Subtítulo=First wave: from the first cases to the end of June 2020|Año=2021|Contenido=New content}}
{{ANENavegacionCapitulo (monografía COVID-19)|estructura=[[Estructura temática (monografía COVID-19)|Estructura temática]]|seccion=[[Global context of the COVID-19 pandemic|Global context of the COVID-19 pandemic]]|capitulo=Socio-economic and environmental impact worldwide and in the European Union}}
+
{{ANENavegacionCapitulo (monografía COVID-19)|estructura=[[Estructura temática (monografía COVID-19)|Estructura temática]]|seccion=[[Global context of the COVID-19 pandemic|Global context of the COVID-19 pandemic]]|capitulo=Socio-economic and environmental impact worldwide and on the European Union}}
  
La pandemia generada por la difusión del SARS-CoV-2 no sólo tiene una dimensión sobre la salud pública. La paralización o limitación de numerosas actividades decretada para controlar la enfermedad ha tenido efectos económicos indudables, llevando a buena parte del mundo a una aguda recesión. Además, esta contracción de los sectores productivos, junto con las fuertes limitaciones a la movilidad, han supuesto una reducción coyuntural de los impactos ambientales, siempre derivados de un modelo de desarrollo que prioriza el consumo de combustibles fósiles y la generación de grandes volúmenes de residuos.
+
{{ANENavegacionHermanosUltimo|anterior=[[Impact of the pandemic in the European Union]] }}
  
{{ANETextoEpigrafe|epigrafe=Efectos socioeconómicos}}
+
 
 +
The COVID-19 pandemic entailed a standstill to mobility and economic activities during the first half of 2020 that led to both an acute global economic recession and a short-term reduction in the environmental impact of human activities.
 +
{{ANETextoEpigrafe|epigrafe=Socio-economic impact}}
 
<div><ul style="text-align: left; float:right; margin-left:0px; margin-right:0px">
 
<div><ul style="text-align: left; float:right; margin-left:0px; margin-right:0px">
 
<li style="display: inline-block; vertical-align:top">
 
<li style="display: inline-block; vertical-align:top">
[[File:Logo Monografía.jpg|right|thumb|300px|Gráfico estadístico: Evolución del mercado de trabajo en el mundo. 2000-2020. Mundo.]]
+
[[File:World_Gross-Domestic-Product-per-capita-in-the-world_2020_map_18057_eng.jpg|left|thumb|300px|Map: Gross Domestic Product per capita in the world. 2020. World. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/World_Gross-Domestic-Product-per-capita-in-the-world_2020_map_18057_eng.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/World_Gross-Domestic-Product-per-capita-in-the-world_2020_map_18057_eng.zip Data].]]
 
</li>
 
</li>
 
<li style="display: inline-block; vertical-align: top">
 
<li style="display: inline-block; vertical-align: top">
[[File:Logo Monografía.jpg|right|thumb|300px|Gráfico estadístico: Distribución de los trabajadores con pobreza laboral en el mundo. 2010-2020. Mundo.]]
+
[[File:Europe_Gross-Domestic-Product-in-the-European-Union_2019-2020_map_18086_eng.jpg|left|thumb|300px|Map: Gross Domestic Product in the European Union. 2019-2020. Europe. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europe_Gross-Domestic-Product-in-the-European-Union_2019-2020_map_18086_eng.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europe_Gross-Domestic-Product-in-the-European-Union_2019-2020_map_18086_eng.zip Data]. ]]
 
</li>
 
</li>
 
</ul></div>
 
</ul></div>
 +
The map on the [[:File:World_Gross-Domestic-Product-per-capita-in-the-world_2020_map_18057_eng.jpg| ''Gross Domestic Product per capita'']] reveals the contrast between the most developed countries, located in Europe, North America and Oceania, and the least developed ones, concentrated mainly in Africa. The impact of the 2020 economic crisis was uneven, with different implications for various parts of the world. Europe and the United States registered a sharp drop in GDP as mobility restrictions and temporary company shutdowns curbed their economic activity. In contrast, despite successfully managing to control the pandemic, China, Australia and New Zealand experienced economic downturns mainly caused by the decline in export due to the significant drop in international trade.
  
Para comprender la situación del mercado laboral, se parte de dos gráficos muy generales con datos a escala mundial. El titulado [[:Archivo:Mundo_Evolucion-del-mercado-de-trabajo-en-el-mundo_2000-2020_graficoestadistico_18082_spa.jpg| ''Evolución del mercado de trabajo en el mundo'']] representa en el medio plazo (los primeros veinte años del siglo XXI), la evolución del empleo a nivel global, del trabajo asalariado y la tasa de desempleo, según estadísticas de la Organización Internacional del Trabajo (OIT). En un gráfico de ese tipo apenas se observan variaciones significativas, si bien en el tránsito desde 2019 se aprecia un descenso del total de trabajadores, en particular no asalariados, y un muy moderado repunte del paro global. De forma complementaria, el gráfico [[:Archivo:Mundo_Distribucion-de-los-trabajadores-con-pobreza-laboral-en-el-mundo_2010-2020_graficoestadistico_18083_spa.jpg| ''Distribución de los trabajadores con pobreza laboral en el mundo'']], reafirma una idea ya conocida. En los países subsaharianos y otras regiones subdesarrolladas buena parte de la fuerza laboral presenta pobreza severa, mientras que la pobreza moderada se extiende también por diversas áreas del mundo como Asia oriental, Asia meridional y África del Norte.
+
With regard to Europe, the map showing the  [[:File:Europe_Gross-Domestic-Product-in-the-European-Union_2019-2020_map_18086_eng.jpg|''Variation in Gross Domestic Product in the European Union'']] shows two complementary variables, i.e. the 2020 GDP per capita by State and the variation in GDP from mid-2019 to mid-2020. In terms of GDP per capita, the States with higher income were those located in Scandinavia, the Benelux, Germany, France, Austria and Ireland, whilst those with lower income were in Eastern Europe, especially Romania and Bulgaria. In terms of variation, however, the States that suffered the most severe economic contractions during the first half of 2020 were those on the shores of the Mediterranean, along with Belgium, Hungary and Romania. At the other end of the scale, Ireland, Luxembourg and the Scandinavian and Baltic States were the least impacted.
  
[[File:Logo Monografía.jpg|left|thumb|300px|Mapa: Horas de trabajo perdidas por COVID-19 en el mundo. 2019-2020. Mundo. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Mundo_Horas-de-trabajo-perdidas-por-COVID--19-en-el-mundo_2019-2020_mapa_18065_spa.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Mundo_Horas-de-trabajo-perdidas-por-COVID--19-en-el-mundo_2019-2020_mapa_18065_spa.zip Datos]]]
+
[[File:World_Lost-working-hours-due-to-COVID--19_2019-2020_map_18065_eng.jpg|left|thumb|300px|Map: Lost working hours due to COVID-19. 2019-2020. World. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/World_Lost-working-hours-due-to-COVID--19_2019-2020_map_18065_eng.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/World_Lost-working-hours-due-to-COVID--19_2019-2020_map_18065_eng.zip Data].]]
  
Un mapa muy clarificador de lo que ha supuesto la pandemia en la actividad económica es el de [[:Archivo:Mundo_Horas-de-trabajo-perdidas-por-COVID--19-en-el-mundo_2019-2020_mapa_18065_spa.jpg| ''Horas de trabajo perdidas'']] por países, como consecuencia de la COVID-19. En el mapa se realiza una cartografía precisa de dónde las restricciones asociadas a la pandemia han provocado mayor impacto en la fuerza laboral. Así, destacan por su negatividad los registros de la América andina (desde Colombia hasta Argentina), parte de Centroamérica, Reino Unido, una serie de países de la cuenca mediterránea (España, Italia, Grecia, Turquía y Marruecos, entre otros), el subcontinente indio, Sudáfrica, Filipinas y Omán. Por lo general, coinciden con algunos de los territorios más afectados por la enfermedad y que previamente poseían un mercado laboral frágil. En el extremo opuesto, China, Australia y Nueva Zelanda, que han sido puestos como ejemplo de contención exitosa del virus, casi no se han resentido. Del mismo modo, naciones europeas como Noruega, Finlandia, República Checa, Estonia y Bielorrusia apenas pierden horas de trabajo en esta primera ola, pero no se podría generalizar este panorama a toda la crisis.
+
The labour market is depicted by two graphs. Firstly, the graph on the [[:File:World_Evolution-of-the-Labour-Market-worldwide_2000-2020_statisticalgraph_18082_eng.jpg|''Evolution of the labour market worldwide'']] shows the evolution of global employment in the medium term, from 2000 to 2020. Only few significant variations are visible in this type of graph. However, it does show a decrease in the total amount of workers and a moderate rise in unemployment during the transition from 2019 to 2020. For its part, the graph depicting the [[:File:World_Global-distribution-of-workers-in-poverty_2010-2020_statisticalgraph_18083_eng.jpg|''Global distribution of workers in poverty'']] confirms that a large part of the labour force in the least developed countries is living in poverty –particularly in Sub-Saharan Africa–, whilst moderate poverty spans throughout East Asia, South Asia and North Africa.
  
 
<div><ul style="text-align: left; float:right; margin-left:0px; margin-right:0px">
 
<div><ul style="text-align: left; float:right; margin-left:0px; margin-right:0px">
 
<li style="display: inline-block; vertical-align:top">
 
<li style="display: inline-block; vertical-align:top">
[[File:Logo Monografía.jpg|right|thumb|300px|Mapa: Producto Interior Bruto per cápita en el mundo. 2020. Mundo. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Mundo_Producto-Interior-Bruto-per-capita-en-el-mundo_2020_mapa_18057_spa.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Mundo_Producto-Interior-Bruto-per-capita-en-el-mundo_2020_mapa_18057_spa.zip Datos].]]
+
[[File:World_Evolution-of-the-Labour-Market-worldwide_2000-2020_statisticalgraph_18082_eng.jpg|right|thumb|300px|Statistical graph: Evolution of the Labour Market worldwide. 2000-2020. World.]]
 
</li>
 
</li>
 
<li style="display: inline-block; vertical-align: top">
 
<li style="display: inline-block; vertical-align: top">
[[File:Logo Monografía.jpg|right|thumb|300px|Mapa: Variación del Producto Interior Bruto en la Unión Europea. 2019-2020. Europa. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europa_Variacion-del-Producto-Interior-Bruto-en-la-Union-Europea_2019-2020_mapa_18086_spa.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europa_Variacion-del-Producto-Interior-Bruto-en-la-Union-Europea_2019-2020_mapa_18086_spa.zip Datos].]]
+
[[File:World_Global-distribution-of-workers-in-poverty_2010-2020_statisticalgraph_18083_eng.jpg|right|thumb|300px|Statistical graph: Global distribution of workers in poverty. 2010-2020. World.]]
 
</li>
 
</li>
</ul></div>En lo referido al [[:Archivo:Mundo_Producto-Interior-Bruto-per-capita-en-el-mundo_2020_mapa_18057_spa.jpg| ''Producto Interior Bruto per cápita'']] (PIB), el mapa muestra los conocidos contrastes entre los países más desarrollados y los más pobres. No obstante, cabe señalar que dentro del mismo año 2020 la profundidad de la crisis económica mundial se ha vivido de manera desigual en los diferentes países. Un decrecimiento muy acusado se produjo en Estados Unidos y Europa occidental en su conjunto. La evolución negativa registrada en China, Australia y Nueva Zelanda se debe, en este caso, a que son tres economías muy dependientes del comercio internacional, de sus exportaciones, que se han visto seriamente dañadas en sus resultados macroeconómicos, aunque la difusión de la COVID-19 fuese contenida muy satisfactoriamente. En el mapa [[:Archivo:Europa_Variacion-del-Producto-Interior-Bruto-en-la-Union-Europea_2019-2020_mapa_18086_spa.jpg| ''Variación del Producto Interior Bruto en la Unión Europea'']] que representa en detalle a los países de la UE, se han querido mostrar dos valores complementarios: el primero, la variación del PIB entre mediados del 2019 y el 1 de julio de 2020, y el segundo el PIB per cápita en 2020. Según el primero de ellos, las naciones mediterráneas, Hungría, Rumania, Alemania y Bélgica son las que presentan cifras más negativas, que se atenúan considerablemente en Irlanda, los países bálticos, Suecia y Finlandia. Respecto al PIB per cápita de 2020, el mapa muestra el conocido contraste entre la Europa central-septentrional y el resto, registrando valores más elevados en la primera, si bien la caída respecto a 2019 fue también muy importante.
+
</ul></div>
 +
 
 +
One statistic that is clearly indicative of the pandemic’s impact on business activity is the number of lost working hours. The map depicting the amount of [[:File:World_Lost-working-hours-due-to-COVID--19_2019-2020_map_18065_eng.jpg|''Lost working hours Due to COVID-19'']] shows the heavier burden of the crisis in Andean America (from Colombia to Argentina), part of Central America, the United Kingdom, several southerly EU Member States (Spain, Italy, Greece), South Africa, Morocco, Oman, Turkey, the Caucasus, the Indian subcontinent and the Philippines. Generally speaking, these territories were also the ones most affected by the pandemic, many of which already had fragile labour markets. At the other end of the scale are some of the countries that successfully managed to contain the virus, such as China, Australia and New Zealand, some countries in Indochina, Sub-Saharan Africa, Europe (Switzerland, Norway and Belarus) and several EU Member States (the Netherlands, Denmark, Estonia, Latvia, Poland and the Czech Republic).
  
 
<div><ul style="text-align: right; float:left; margin-left:0px; margin-right:0px">
 
<div><ul style="text-align: right; float:left; margin-left:0px; margin-right:0px">
 
<li style="display: inline-block; vertical-align:top">
 
<li style="display: inline-block; vertical-align:top">
[[File:Logo Monografía.jpg|left|thumb|300px|Mapa: Tasa de paro en la Unión Europea. 2020. Europa. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europa_Tasa-de-paro-en-la-Union-Europea_2020_mapa_18102_spa.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europa_Tasa-de-paro-en-la-Union-Europea_2020_mapa_18102_spa.zip Datos].]]
+
[[File:Europe_Unemployment-rate-in-the-European-Union_2020_map_18102_eng.jpg|left|thumb|300px|Map: Unemployment rate in the European Union. 2020. Europe. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europe_Unemployment-rate-in-the-European-Union_2020_map_18102_eng.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europe_Unemployment-rate-in-the-European-Union_2020_map_18102_eng.zip Data]. ]]
 
</li>
 
</li>
 
<li style="display: inline-block; vertical-align: top">
 
<li style="display: inline-block; vertical-align: top">
[[File:Logo Monografía.jpg|left|thumb|300px|Mapa: Tasa de ocupación en la Unión Europea. 2020. Europa. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europa_Tasa-de-ocupacion-en-la-Union-Europea_2020_mapa_18103_spa.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europa_Tasa-de-ocupacion-en-la-Union-Europea_2020_mapa_18103_spa.zip Datos].]]
+
[[File:Europe_Employment-rate-in-the-European-Union_2020_map_18103_eng.jpg|left|thumb|300px|Map: Employment rate in the European Union. 2020. Europe. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europe_Employment-rate-in-the-European-Union_2020_map_18103_eng.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europe_Employment-rate-in-the-European-Union_2020_map_18103_eng.zip Data]. ]]
 
</li>
 
</li>
 
</ul></div>
 
</ul></div>
  
Para finalizar con los impactos socioeconómicos, se aportan dos representaciones que tratan de medir tanto la coyuntura como rasgos estructurales del mercado de trabajo en los estados de la UE en 2020. Por una parte, la tasa de paro expresa lo ya conocido de unas cifras muy elevadas en España, Grecia y algunos países bálticos (en particular, Letonia y Lituania). Los altos valores de Suecia y Finlandia parecen deberse más a una situación concreta agravada por la crisis de la COVID-19, mientras que la mayoría de los países de Europa del Este, Irlanda, Portugal y el Benelux reflejan unos porcentajes menores. A este respecto, cabe indicar que el desempleo ha aumentado más en aquellos países donde los valores ya eran elevados con anterioridad. De hecho, un mercado de trabajo frágil se ve más afectado por una coyuntura de crisis, que otro estable. Esto, a pesar de que el instrumento de las regulaciones temporales de empleo suavice mucho los registros finales obtenidos. Por su parte, los incrementos de los países nórdicos pueden obedecer a unas mejores condiciones de atención general a los parados, con lo que el desempleo no adquiere unas connotaciones tan trágicas como en el sur. En relación con estos datos, sorprende que Alemania no los haya actualizado, pero curiosamente esta gran potencia europea es la patria de los miniempleos y su transparencia habitual en estos valores tampoco es muy satisfactoria.
+
Another relevant analysis for assessing how the crisis impacted the labour market is shown on the map depicting the [[:File:Europe_Unemployment-rate-in-the-European-Union_2020_map_18102_eng.jpg|'' Unemployment rates in the European Union in 2020'']]. Figures were clearly high for Spain, Greece and some Scandinavian and Baltic States. The Eastern States, Belgium, the Netherlands, Ireland and Portugal, however, had lower unemployment rates. Generally speaking, unemployment increased to a greater extent in States that previously had fragile labour markets and were therefore more exposed to the crisis. It is also worth mentioning that these high figures for Scandinavia could be linked to the fact that these States tend to have better social protection schemes for unemployed than the rest of the European Union. Lastly, it shall be noted that the temporary ‘Job Retention Schemes’ succeeded in tempering the final figures for all EU Member States.
  
Por su parte, la [[:Archivo:Europa_Tasa-de-ocupacion-en-la-Union-Europea_2020_mapa_18103_spa.jpg| ''Tasa de ocupación en la UE'']] parece expresar más comportamientos muy asentados que han adquirido casi una condición estructural, como la todavía incompleta incorporación femenina al empleo fuera del hogar en los países mediterráneos frente a las tendencias del norte del continente. Cabe señalar también que todos los datos están condicionados por las políticas de cese temporal de la actividad, que algunas naciones impulsaron para contrarrestar los efectos laborales negativos de la pandemia. Las tasas de ocupación más altas se registran en Suecia y los Países Bajos, donde cabe referirse a un pleno empleo masculino y femenino en contextos de envejecimiento poblacional atenuado. Por el contrario, España, Italia y Grecia muestran registros entre el 55% y el 60%, lo que implica que la recuperación del empleo una vez superada la pandemia, deberá acompañarse de políticas activas, sobre todo dirigidas a mujeres y jóvenes.
+
The last map related to the labour market shows the [[:File:Europe_Employment-rate-in-the-European-Union_2020_map_18103_eng.jpg|''Employment rates in the European Union in 2020'']]. The highest employment rates were registered in the north and the lowest in the south. This map shows certain structural behaviours, such as the greater or lesser insertion of women in the labour market. Figures for 2020 were heavily influenced by the furlough schemes that most States introduced to counteract the pandemic’s impact on the labour market. The States with the highest employment rates were Sweden and the Netherlands, where full employment of both men and women in the context of a moderately ageing population may be pointed out. By contrast, Spain, Italy and Greece had the lowest employment figures, with high ageing and fewer women and young people in the labour market.
  
En resumen, la pandemia ha provocado el desencadenamiento de una crisis económica muy grave, que ha sido atenuada temporalmente con el incremento de las emisiones de dinero (con EEUU y la UE a la cabeza) y un notable incremento del gasto público, con la incorporación de otros instrumentos como la regulación temporal de empleo. Cuando los efectos de la enfermedad se vayan superando, se asistirá a una indudable recuperación productiva, pero años después tendrá que corregirse el nivel de endeudamiento general que permitió superar los efectos económicos y en el empleo generados por la difusión de la COVID-19.
+
To summarise, the pandemic plunged humanity into a severe economic recession that was temporarily tempered by increased cash injections from the Central Banks (with the European Union and the United States leading the way), a notable rise in public spending as well as some other instruments, such as furlough schemes. Nonetheless, as the world starts to overcome the worst of the crisis, each country shall address its level of indebtedness and face up to the effects the pandemic has had on employment.
 +
{{ANESubirArriba}}
 +
{{ANETextoEpigrafe|epigrafe=Environmental impact}}
 +
The COVID-19 pandemic had some effects on environment as well. The initial lockdowns and consequent reductions in business activity had a direct impact on air and water pollution as well as on greenhouse gas emissions in many developed countries.
  
{{ANETextoEpigrafe|epigrafe=Efectos ambientales}}
+
Water quality in rivers and seas clearly improved due to a drastic reduction in industrial discharges. The difference was particularly remarkable in North America and Europe, where, for example, clear water in Venice’s canals could be seen. Wild animals were also quick to take advantage of the absence of humans on the streets and could be spotted roaming the avenues in some major European cities.
El medio ambiente se ha visto también afectado, por la pandemia COVID-19. El desarrollo de la fase inicial de confinamiento y reducción consiguiente de la actividad económica en muchos países desarrollados tuvo un efecto directo sobre las emisiones de gases de efecto invernadero, así como sobre la contaminación del aire y del agua. La demanda de energía primaria se redujo un 4% en 2020 y las emisiones de CO<sub>2</sub> disminuyeron en un 5,8% en ese periodo, según datos de la Agencia Internacional de la Energía. Se trata de una caída de valores que no se habían registrado a escala planetaria desde la segunda guerra mundial. Este hecho llevó a varios organismos internacionales como la Agencia Internacional de la Energía (AIE) y la Organización Meteorológica Mundial (OMM) a revisar a la baja las proyecciones de emisiones de gases de efecto invernadero para la tercera década del siglo XXI, respecto a las elaboradas antes del inicio de la pandemia. No obstante, la evolución de la contaminación atmosférica y de las emisiones de CO<sub>2</sub> en algunas regiones del mundo, en relación con la evolución de la crisis sanitaria, como ocurrió en China en la segunda mitad de 2020, no se prestan al optimismo en esta cuestión a escala planetaria.
+
Energy demand fell globally by 4% and CO<sub>2</sub> emissions decreased by 5.8% in 2020, a fall the likes of which had not been seen since the Second World War. This prompted several international organisations, such as the International Energy Agency (IEA) and the World Meteorological Organisation (WMO), to revise their projections for greenhouse gas emissions during the third decade of the 21st century downwards from their pre-pandemic figures.
  
Al respecto, la situación de los niveles de contaminación atmosférica y de emisiones de gases de efecto invernadero en China, país origen del foco originario del SARS-CoV-2, resultó muy significativa, puesto que el descenso de valores de contaminación comenzó antes que en Europa o Estados Unidos, pero ya inició su recuperación antes del verano de 2020. De esta manera, en el conjunto del año, la presencia de partículas contaminantes en las grandes ciudades (Pekín, Shanghái) y de emisiones de CO<sub>2</sub> a la atmósfera resultaron superiores en un 5% respecto a los valores de 2019. En la Unión Europea y en Estados Unidos la caída de emisiones contaminantes fue drástica de marzo a mayo de 2020 (entre -20% y -25%) y se mantuvo por debajo de los valores de 2019 en el resto del año. Por sectores, la contaminación procedente del transporte terrestre y de la industria fue la que experimentó un descenso brusco en la primera mitad de 2020, para recuperarse lentamente en la segunda. Los valores de emisiones de CO<sub>2</sub>, atribuidas al transporte aéreo y marítimo, sin embargo, no recobraron una tendencia creciente.
+
Unfortunately, however, if data are analysed by country or world region, there is not much cause for optimism. In China, air pollution and greenhouse gas emissions dropped drastically during the first half of 2020 but began to recover before summer. In fact, figures for 2020 show a 5% increase in CO<sub>2</sub> emissions and polluting particles into the atmosphere in large cities, such as Beijing and Shanghai, compared to 2019. In the European Union and the United States, the fall in polluting emissions was very notable from March to May 2020 (between -20% and -25%), and also the remainder of the year also stayed below 2019 values.
  
La transparencia y calidad del aire fue notable en muchas ciudades, especialmente industriales, de los países desarrollados. Por su parte, la calidad del agua de ríos y mares mejoró sustancialmente en los meses de confinamiento debido a la disminución drástica de vertidos industriales. Este hecho ha sido muy notable en Europa y Norteamérica. Se han generado imágenes muy significativas de recuperación de calidad del agua en los canales de Venecia. Asimismo, en algunas grandes ciudades europeas se produjeron avistamientos en calles y avenidas de animales silvestres ante la falta de presión humana.
+
The analysis by economic activities shows that the pollution caused by industry and energy decreased in the first half of 2020 and increased again during the second half of the year. By contrast, CO<sub>2</sub>  emissions due to land and air transport also fell during the first half of 2020 but did not recover towards the end of the year.
  
 
<div><ul style="text-align: center;float:center">  
 
<div><ul style="text-align: center;float:center">  
 
<li style="display: inline-block; vertical-align:top">
 
<li style="display: inline-block; vertical-align:top">
[[File:Logo Monografía.jpg|left|thumb|300px|Gráfico estadístico: Variación de las emisiones de CO2 por el confinamiento por COVID-19 en el mundo. 2019-2020. Mundo.]]
+
[[File:World_Variation-of-CO2-emissions-due-COVID--19-confinement-in-the-world_2019-2020_statisticalgraph_18085_eng.jpg|left|thumb|300px|Statistical graph: Variation of CO<sub>2</sub> emissions due COVID-19 confinement in the world. 2019-2020. World.]]
 
</li>
 
</li>
 
<li style="display: inline-block; vertical-align:top">
 
<li style="display: inline-block; vertical-align:top">
[[File:Logo Monografía.jpg|left|thumb|300px|Ilustración: Previsión de las emisiones de GEI en el mundo debido a la COVID-19. 2015-2030. Mundo.]]
+
[[File:World_Forecast-of-global-GHG-emissions-due-to-COVID--19_2015-2030_illustration_18084_eng.jpg|left|thumb|300px|Illustration: Forecast of global GHG emissions due to COVID-19. 2015-2030. World.]]
 
</li>
 
</li>
 
<li style="display: inline-block; vertical-align:top">
 
<li style="display: inline-block; vertical-align:top">
[[File:Logo Monografía.jpg|left|thumb|300px|Mapa: Variación de la concentración de NO2 debido al confinamiento en Europa. 2020. Europa. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europa_Variacion-de-la-concentracion-de-NO2-debido-al-confinamiento-en-Europa_2020_mapa_18121_spa.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europa_Variacion-de-la-concentracion-de-NO2-debido-al-confinamiento-en-Europa_2020_mapa_18121_spa.zip Datos].]]
+
[[File:Europe_Variation-in-NO2-concentration-in-Europe-due-to-the-COVID--19-lockdown_2020_map_18121_eng.jpg|left|thumb|300px|Map: Variation in NO2 concentration in Europe due to the COVID-19 lockdown. 2020. Europe. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europe_Variation-in-NO2-concentration-in-Europe-due-to-the-COVID--19-lockdown_2020_map_18121_eng.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europe_Variation-in-NO2-concentration-in-Europe-due-to-the-COVID--19-lockdown_2020_map_18121_eng.zip Data]. ]]
 
</li>
 
</li>
 
</ul></div>
 
</ul></div>
{{ANEAutoria|Autores= Carlos Baños Castiñeira, Agustín Gámir Orueta, Rubén C. Lois González y Jorge Olcina Cantos}}
+
{{ANEAutoria|Autores= Carlos Baños Castiñeira, Agustín Gámir Orueta, Rubén C. Lois González and Jorge Olcina Cantos}}
 
{{ANESubirArriba}}
 
{{ANESubirArriba}}
 
{{ANEPaginaDescargas (monografía COVID-19)}}
 
{{ANEPaginaDescargas (monografía COVID-19)}}
{{ANENavegacionHermanos
+
{{ANENavegacionHermanosUltimo|anterior=[[Impact of the pandemic in the European Union]] }}
|anterior=[[Impact of the pandemic in the European Union]]
 
|siguiente=[[Población, poblamiento y comorbilidad]]
 
}}
 
  
  
[[Categoría:España en el mundo]]
+
[[Category:Spain in the World]]
 +
[[es:Efectos sociales, económicos y ambientales en el mundo y en la Unión Europea]]

Revision as of 10:13, 27 May 2022


Logo Monografía.jpg

The COVID-19 pandemic in Spain. First wave: from the first cases to the end of June 2020

Monographs from the National Atlas of Spain. New content


Thematic structure > Global context of the COVID-19 pandemic > Socio-economic and environmental impact worldwide and on the European Union


The COVID-19 pandemic entailed a standstill to mobility and economic activities during the first half of 2020 that led to both an acute global economic recession and a short-term reduction in the environmental impact of human activities.


Socio-economic impact

  • Map: Gross Domestic Product per capita in the world. 2020. World. PDF. Data.
  • Map: Gross Domestic Product in the European Union. 2019-2020. Europe. PDF. Data.

The map on the Gross Domestic Product per capita reveals the contrast between the most developed countries, located in Europe, North America and Oceania, and the least developed ones, concentrated mainly in Africa. The impact of the 2020 economic crisis was uneven, with different implications for various parts of the world. Europe and the United States registered a sharp drop in GDP as mobility restrictions and temporary company shutdowns curbed their economic activity. In contrast, despite successfully managing to control the pandemic, China, Australia and New Zealand experienced economic downturns mainly caused by the decline in export due to the significant drop in international trade.

With regard to Europe, the map showing the Variation in Gross Domestic Product in the European Union shows two complementary variables, i.e. the 2020 GDP per capita by State and the variation in GDP from mid-2019 to mid-2020. In terms of GDP per capita, the States with higher income were those located in Scandinavia, the Benelux, Germany, France, Austria and Ireland, whilst those with lower income were in Eastern Europe, especially Romania and Bulgaria. In terms of variation, however, the States that suffered the most severe economic contractions during the first half of 2020 were those on the shores of the Mediterranean, along with Belgium, Hungary and Romania. At the other end of the scale, Ireland, Luxembourg and the Scandinavian and Baltic States were the least impacted.

Map: Lost working hours due to COVID-19. 2019-2020. World. PDF. Data.

The labour market is depicted by two graphs. Firstly, the graph on the Evolution of the labour market worldwide shows the evolution of global employment in the medium term, from 2000 to 2020. Only few significant variations are visible in this type of graph. However, it does show a decrease in the total amount of workers and a moderate rise in unemployment during the transition from 2019 to 2020. For its part, the graph depicting the Global distribution of workers in poverty confirms that a large part of the labour force in the least developed countries is living in poverty –particularly in Sub-Saharan Africa–, whilst moderate poverty spans throughout East Asia, South Asia and North Africa.

  • Statistical graph: Evolution of the Labour Market worldwide. 2000-2020. World.
  • Statistical graph: Global distribution of workers in poverty. 2010-2020. World.

One statistic that is clearly indicative of the pandemic’s impact on business activity is the number of lost working hours. The map depicting the amount of Lost working hours Due to COVID-19 shows the heavier burden of the crisis in Andean America (from Colombia to Argentina), part of Central America, the United Kingdom, several southerly EU Member States (Spain, Italy, Greece), South Africa, Morocco, Oman, Turkey, the Caucasus, the Indian subcontinent and the Philippines. Generally speaking, these territories were also the ones most affected by the pandemic, many of which already had fragile labour markets. At the other end of the scale are some of the countries that successfully managed to contain the virus, such as China, Australia and New Zealand, some countries in Indochina, Sub-Saharan Africa, Europe (Switzerland, Norway and Belarus) and several EU Member States (the Netherlands, Denmark, Estonia, Latvia, Poland and the Czech Republic).

  • Map: Unemployment rate in the European Union. 2020. Europe. PDF. Data.
  • Map: Employment rate in the European Union. 2020. Europe. PDF. Data.

Another relevant analysis for assessing how the crisis impacted the labour market is shown on the map depicting the Unemployment rates in the European Union in 2020. Figures were clearly high for Spain, Greece and some Scandinavian and Baltic States. The Eastern States, Belgium, the Netherlands, Ireland and Portugal, however, had lower unemployment rates. Generally speaking, unemployment increased to a greater extent in States that previously had fragile labour markets and were therefore more exposed to the crisis. It is also worth mentioning that these high figures for Scandinavia could be linked to the fact that these States tend to have better social protection schemes for unemployed than the rest of the European Union. Lastly, it shall be noted that the temporary ‘Job Retention Schemes’ succeeded in tempering the final figures for all EU Member States.

The last map related to the labour market shows the Employment rates in the European Union in 2020. The highest employment rates were registered in the north and the lowest in the south. This map shows certain structural behaviours, such as the greater or lesser insertion of women in the labour market. Figures for 2020 were heavily influenced by the furlough schemes that most States introduced to counteract the pandemic’s impact on the labour market. The States with the highest employment rates were Sweden and the Netherlands, where full employment of both men and women in the context of a moderately ageing population may be pointed out. By contrast, Spain, Italy and Greece had the lowest employment figures, with high ageing and fewer women and young people in the labour market.

To summarise, the pandemic plunged humanity into a severe economic recession that was temporarily tempered by increased cash injections from the Central Banks (with the European Union and the United States leading the way), a notable rise in public spending as well as some other instruments, such as furlough schemes. Nonetheless, as the world starts to overcome the worst of the crisis, each country shall address its level of indebtedness and face up to the effects the pandemic has had on employment.


↑ Top


Environmental impact

The COVID-19 pandemic had some effects on environment as well. The initial lockdowns and consequent reductions in business activity had a direct impact on air and water pollution as well as on greenhouse gas emissions in many developed countries.

Water quality in rivers and seas clearly improved due to a drastic reduction in industrial discharges. The difference was particularly remarkable in North America and Europe, where, for example, clear water in Venice’s canals could be seen. Wild animals were also quick to take advantage of the absence of humans on the streets and could be spotted roaming the avenues in some major European cities. Energy demand fell globally by 4% and CO2 emissions decreased by 5.8% in 2020, a fall the likes of which had not been seen since the Second World War. This prompted several international organisations, such as the International Energy Agency (IEA) and the World Meteorological Organisation (WMO), to revise their projections for greenhouse gas emissions during the third decade of the 21st century downwards from their pre-pandemic figures.

Unfortunately, however, if data are analysed by country or world region, there is not much cause for optimism. In China, air pollution and greenhouse gas emissions dropped drastically during the first half of 2020 but began to recover before summer. In fact, figures for 2020 show a 5% increase in CO2 emissions and polluting particles into the atmosphere in large cities, such as Beijing and Shanghai, compared to 2019. In the European Union and the United States, the fall in polluting emissions was very notable from March to May 2020 (between -20% and -25%), and also the remainder of the year also stayed below 2019 values.

The analysis by economic activities shows that the pollution caused by industry and energy decreased in the first half of 2020 and increased again during the second half of the year. By contrast, CO2 emissions due to land and air transport also fell during the first half of 2020 but did not recover towards the end of the year.

  • Statistical graph: Variation of CO2 emissions due COVID-19 confinement in the world. 2019-2020. World.
  • Illustration: Forecast of global GHG emissions due to COVID-19. 2015-2030. World.
  • Map: Variation in NO2 concentration in Europe due to the COVID-19 lockdown. 2020. Europe. PDF. Data.
AUTORES.jpg

Co-authorship of the text in Spanish: Carlos Baños Castiñeira, Agustín Gámir Orueta, Rubén C. Lois González and Jorge Olcina Cantos. See the list of members engaged


↑ Top

BAJADA-01.jpg

You can download the complete publication The COVID-19 pandemic in Spain. First wave: from the first cases to the end of June 2020 in Libros Digitales del ANE site.