International Social Survey Programme: Environment IV - ISSP 2020

The International Social Survey Programme (ISSP) is a continuous programme of cross-national collaboration running annual surveys on topics important for the social sciences. The programme started in 1984 with four founding members - Australia, Germany, Great Britain, and the United States – and has...

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Main Authors: Höllinger, Franz, Hadler, Markus, Eder, Anja, Aschauer, Wolfgang, Bacher, Johann, Prandner, Dimitri, Steinmetz, Stephanie, Sapin, Marlène, Joye, Dominique, Clement, Sanne Lund, Melin, Harri, Borg, Sami, Laaksonen, Helena, Valaranta, Annika, Jääskeläinen, Taina, Hochman, Oshrat, Scholz, Evi, Tóth, István György, Jónsdóttir, Guðbjörg A., Ólafsdóttir, Sigrún, Árnason, Þorvarður, Sæmundsdóttir, Inga R., Bjarnadóttir, Sóllilja, Murata, Hiroko, Okada, Marisa, Kolandai, Komathi, Milne, Barry, Randow, Martin von, Guerrero, Linda Luz, Sandoval, Gerardo, Labucay, Iremae, Agapeeva, Ksenia, Hafner Fink, Mitja, Malnar, Brina, Bureekul, Thawilwadee, Sangmahamad, Ratchawadee, Udompong, Lertporn, Wu, Chyi-In, National Survey Research Center (NSRC) at Renmin University of China, Ančić, Branko, Brajdić Vuković, Marija, Cik, Tomislav, Jaklin, Katarina, Telešienė, Audronė, Skjåk, Knut K., Agasøster, Bodil, Karlsen, Gry, Nikolaisen, Kristina, Džambazovič, Roman, Bahna, Miloslav, Struwig, Jare, Roberts, Benjamin, Méndez Lago, Mónica, Laseca, Jesús, Gonthier, Frédéric, Zmerli, Sonja, Bréchon, Pierre, Astor, Sandrine, Zolotoukhine Erik, Edlund, Jonas, Davern, Michael, Bautista, Rene, Smith, Tom W., Freese, Jeremy, Morgan, Stephen L., Pedrazzani, Andrea, Guglielmi, Simona, Kim, Jibum, Kang, Jeong-han, Kim, Seok-ho, Kim, Changhwan, Park, Wonho, Lee, Yun-suk, Choi, Seulgi, McEachern, Steven, Gray, Matthew, Evans, Ann, Zammit, Adam, Deshmukh, Yashwant R.
Format: Dataset
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.4232/1.14153
https://search.gesis.org/research_data/ZA7650?lang=de
https://search.gesis.org/research_data/ZA7650?lang=en
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op_collection_id ftcessda
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description The International Social Survey Programme (ISSP) is a continuous programme of cross-national collaboration running annual surveys on topics important for the social sciences. The programme started in 1984 with four founding members - Australia, Germany, Great Britain, and the United States – and has now grown to almost 50 member countries from all over the world. As the surveys are designed for replication, they can be used for both, cross-national and cross-time comparisons. Each ISSP module focuses on a specific topic, which is repeated in regular time intervals. Please, consult the documentation for details on how the national ISSP surveys are fielded. The present study focuses on questions about the environment, climate change and environmental protection. Most important issue and next most important issue for the country; agreement with different statements (private enterprise is the best way to solve economic problems, government´s responsibility to reduce income differences between people with high incomes and those with low incomes, own country should limit the import of foreign products in order to protect its national economy, own country should limit immigration in order to protect the national way of life, international organizations are taking away too much power from the government); country’s highest and next highest priority; amount of trust in people; trust in institutions (university research centres, the news media, business and industry, parliament); extent of personal concern about environmental issues; most important environmental problem for the country as a whole (air pollution, chemicals and pesticides, water shortage, water pollution, nuclear waste, domestic waste disposal, climate change, genetically modified foods, using up our natural resources); attitude towards climate change (the world’s climate has not been changing, the world’s climate has been changing mostly due to natural processes, the world’s climate has been changing about equally due to natural processes and human ...
format Dataset
author Höllinger, Franz
Hadler, Markus
Eder, Anja
Aschauer, Wolfgang
Bacher, Johann
Prandner, Dimitri
Steinmetz, Stephanie
Sapin, Marlène
Joye, Dominique
Clement, Sanne Lund
Melin, Harri
Borg, Sami
Laaksonen, Helena
Valaranta, Annika
Jääskeläinen, Taina
Hochman, Oshrat
Scholz, Evi
Tóth, István György
Jónsdóttir, Guðbjörg A.
Ólafsdóttir, Sigrún
Árnason, Þorvarður
Sæmundsdóttir, Inga R.
Bjarnadóttir, Sóllilja
Murata, Hiroko
Okada, Marisa
Kolandai, Komathi
Milne, Barry
Randow, Martin von
Guerrero, Linda Luz
Sandoval, Gerardo
Labucay, Iremae
Agapeeva, Ksenia
Hafner Fink, Mitja
Malnar, Brina
Bureekul, Thawilwadee
Sangmahamad, Ratchawadee
Udompong, Lertporn
Wu, Chyi-In
National Survey Research Center (NSRC) at Renmin University of China
Ančić, Branko
Brajdić Vuković, Marija
Cik, Tomislav
Jaklin, Katarina
Telešienė, Audronė
Skjåk, Knut K.
Agasøster, Bodil
Karlsen, Gry
Nikolaisen, Kristina
Džambazovič, Roman
Bahna, Miloslav
Struwig, Jare
Roberts, Benjamin
Méndez Lago, Mónica
Laseca, Jesús
Gonthier, Frédéric
Zmerli, Sonja
Bréchon, Pierre
Astor, Sandrine
Zolotoukhine Erik
Edlund, Jonas
Davern, Michael
Bautista, Rene
Smith, Tom W.
Freese, Jeremy
Morgan, Stephen L.
Pedrazzani, Andrea
Guglielmi, Simona
Kim, Jibum
Kang, Jeong-han
Kim, Seok-ho
Kim, Changhwan
Park, Wonho
Lee, Yun-suk
Choi, Seulgi
McEachern, Steven
Gray, Matthew
Evans, Ann
Zammit, Adam
Deshmukh, Yashwant R.
spellingShingle Höllinger, Franz
Hadler, Markus
Eder, Anja
Aschauer, Wolfgang
Bacher, Johann
Prandner, Dimitri
Steinmetz, Stephanie
Sapin, Marlène
Joye, Dominique
Clement, Sanne Lund
Melin, Harri
Borg, Sami
Laaksonen, Helena
Valaranta, Annika
Jääskeläinen, Taina
Hochman, Oshrat
Scholz, Evi
Tóth, István György
Jónsdóttir, Guðbjörg A.
Ólafsdóttir, Sigrún
Árnason, Þorvarður
Sæmundsdóttir, Inga R.
Bjarnadóttir, Sóllilja
Murata, Hiroko
Okada, Marisa
Kolandai, Komathi
Milne, Barry
Randow, Martin von
Guerrero, Linda Luz
Sandoval, Gerardo
Labucay, Iremae
Agapeeva, Ksenia
Hafner Fink, Mitja
Malnar, Brina
Bureekul, Thawilwadee
Sangmahamad, Ratchawadee
Udompong, Lertporn
Wu, Chyi-In
National Survey Research Center (NSRC) at Renmin University of China
Ančić, Branko
Brajdić Vuković, Marija
Cik, Tomislav
Jaklin, Katarina
Telešienė, Audronė
Skjåk, Knut K.
Agasøster, Bodil
Karlsen, Gry
Nikolaisen, Kristina
Džambazovič, Roman
Bahna, Miloslav
Struwig, Jare
Roberts, Benjamin
Méndez Lago, Mónica
Laseca, Jesús
Gonthier, Frédéric
Zmerli, Sonja
Bréchon, Pierre
Astor, Sandrine
Zolotoukhine Erik
Edlund, Jonas
Davern, Michael
Bautista, Rene
Smith, Tom W.
Freese, Jeremy
Morgan, Stephen L.
Pedrazzani, Andrea
Guglielmi, Simona
Kim, Jibum
Kang, Jeong-han
Kim, Seok-ho
Kim, Changhwan
Park, Wonho
Lee, Yun-suk
Choi, Seulgi
McEachern, Steven
Gray, Matthew
Evans, Ann
Zammit, Adam
Deshmukh, Yashwant R.
International Social Survey Programme: Environment IV - ISSP 2020
author_facet Höllinger, Franz
Hadler, Markus
Eder, Anja
Aschauer, Wolfgang
Bacher, Johann
Prandner, Dimitri
Steinmetz, Stephanie
Sapin, Marlène
Joye, Dominique
Clement, Sanne Lund
Melin, Harri
Borg, Sami
Laaksonen, Helena
Valaranta, Annika
Jääskeläinen, Taina
Hochman, Oshrat
Scholz, Evi
Tóth, István György
Jónsdóttir, Guðbjörg A.
Ólafsdóttir, Sigrún
Árnason, Þorvarður
Sæmundsdóttir, Inga R.
Bjarnadóttir, Sóllilja
Murata, Hiroko
Okada, Marisa
Kolandai, Komathi
Milne, Barry
Randow, Martin von
Guerrero, Linda Luz
Sandoval, Gerardo
Labucay, Iremae
Agapeeva, Ksenia
Hafner Fink, Mitja
Malnar, Brina
Bureekul, Thawilwadee
Sangmahamad, Ratchawadee
Udompong, Lertporn
Wu, Chyi-In
National Survey Research Center (NSRC) at Renmin University of China
Ančić, Branko
Brajdić Vuković, Marija
Cik, Tomislav
Jaklin, Katarina
Telešienė, Audronė
Skjåk, Knut K.
Agasøster, Bodil
Karlsen, Gry
Nikolaisen, Kristina
Džambazovič, Roman
Bahna, Miloslav
Struwig, Jare
Roberts, Benjamin
Méndez Lago, Mónica
Laseca, Jesús
Gonthier, Frédéric
Zmerli, Sonja
Bréchon, Pierre
Astor, Sandrine
Zolotoukhine Erik
Edlund, Jonas
Davern, Michael
Bautista, Rene
Smith, Tom W.
Freese, Jeremy
Morgan, Stephen L.
Pedrazzani, Andrea
Guglielmi, Simona
Kim, Jibum
Kang, Jeong-han
Kim, Seok-ho
Kim, Changhwan
Park, Wonho
Lee, Yun-suk
Choi, Seulgi
McEachern, Steven
Gray, Matthew
Evans, Ann
Zammit, Adam
Deshmukh, Yashwant R.
author_sort Höllinger, Franz
title International Social Survey Programme: Environment IV - ISSP 2020
title_short International Social Survey Programme: Environment IV - ISSP 2020
title_full International Social Survey Programme: Environment IV - ISSP 2020
title_fullStr International Social Survey Programme: Environment IV - ISSP 2020
title_full_unstemmed International Social Survey Programme: Environment IV - ISSP 2020
title_sort international social survey programme: environment iv - issp 2020
publishDate 2023
url https://doi.org/10.4232/1.14153
https://search.gesis.org/research_data/ZA7650?lang=de
https://search.gesis.org/research_data/ZA7650?lang=en
op_coverage Austria
Österreich
Switzerland
Schweiz
Denmark
Dänemark
Finland
Finnland
Hungary
Ungarn
Iceland
Island
Japan
Japan
New Zealand
Neuseeland
Philippines
Philippinen
Russian Federation
Russische Föderation
Slovenia
Slowenien
Thailand
Thailand
Taiwan
Taiwan
Germany
Deutschland
China
China
Croatia
Kroatien
Lithuania
Litauen
Norway
Norwegen
Slovakia
Slowakei
South Africa
Südafrika
Spain
Spanien
France
Frankreich
Sweden
Schweden
United States of America
Vereinigte Staaten von Amerika
Italy
Italien
Korea, Republic of
Korea, Republik
Australia
Australien
India
Indien
genre Iceland
genre_facet Iceland
op_relation doi:10.4232/1.14153
ZA7650, Version 2.0.0
https://search.gesis.org/research_data/ZA7650?lang=de
https://search.gesis.org/research_data/ZA7650?lang=en
op_doi https://doi.org/10.4232/1.14153
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spelling ftcessda:e8c09111056bb9c85fe3833caa4ff69eb79afb5836d6ca8e051638578d6ee5fe 2024-09-15T18:14:44+00:00 International Social Survey Programme: Environment IV - ISSP 2020 Höllinger, Franz Hadler, Markus Eder, Anja Aschauer, Wolfgang Bacher, Johann Prandner, Dimitri Steinmetz, Stephanie Sapin, Marlène Joye, Dominique Clement, Sanne Lund Melin, Harri Borg, Sami Laaksonen, Helena Valaranta, Annika Jääskeläinen, Taina Hochman, Oshrat Scholz, Evi Tóth, István György Jónsdóttir, Guðbjörg A. Ólafsdóttir, Sigrún Árnason, Þorvarður Sæmundsdóttir, Inga R. Bjarnadóttir, Sóllilja Murata, Hiroko Okada, Marisa Kolandai, Komathi Milne, Barry Randow, Martin von Guerrero, Linda Luz Sandoval, Gerardo Labucay, Iremae Agapeeva, Ksenia Hafner Fink, Mitja Malnar, Brina Bureekul, Thawilwadee Sangmahamad, Ratchawadee Udompong, Lertporn Wu, Chyi-In National Survey Research Center (NSRC) at Renmin University of China Ančić, Branko Brajdić Vuković, Marija Cik, Tomislav Jaklin, Katarina Telešienė, Audronė Skjåk, Knut K. Agasøster, Bodil Karlsen, Gry Nikolaisen, Kristina Džambazovič, Roman Bahna, Miloslav Struwig, Jare Roberts, Benjamin Méndez Lago, Mónica Laseca, Jesús Gonthier, Frédéric Zmerli, Sonja Bréchon, Pierre Astor, Sandrine Zolotoukhine Erik Edlund, Jonas Davern, Michael Bautista, Rene Smith, Tom W. Freese, Jeremy Morgan, Stephen L. Pedrazzani, Andrea Guglielmi, Simona Kim, Jibum Kang, Jeong-han Kim, Seok-ho Kim, Changhwan Park, Wonho Lee, Yun-suk Choi, Seulgi McEachern, Steven Gray, Matthew Evans, Ann Zammit, Adam Deshmukh, Yashwant R. Austria Österreich Switzerland Schweiz Denmark Dänemark Finland Finnland Hungary Ungarn Iceland Island Japan Japan New Zealand Neuseeland Philippines Philippinen Russian Federation Russische Föderation Slovenia Slowenien Thailand Thailand Taiwan Taiwan Germany Deutschland China China Croatia Kroatien Lithuania Litauen Norway Norwegen Slovakia Slowakei South Africa Südafrika Spain Spanien France Frankreich Sweden Schweden United States of America Vereinigte Staaten von Amerika Italy Italien Korea, Republic of Korea, Republik Australia Australien India Indien 2023-08-25 https://doi.org/10.4232/1.14153 https://search.gesis.org/research_data/ZA7650?lang=de https://search.gesis.org/research_data/ZA7650?lang=en en eng doi:10.4232/1.14153 ZA7650, Version 2.0.0 https://search.gesis.org/research_data/ZA7650?lang=de https://search.gesis.org/research_data/ZA7650?lang=en Dataset 2023 ftcessda https://doi.org/10.4232/1.14153 2024-08-28T23:58:01Z The International Social Survey Programme (ISSP) is a continuous programme of cross-national collaboration running annual surveys on topics important for the social sciences. The programme started in 1984 with four founding members - Australia, Germany, Great Britain, and the United States – and has now grown to almost 50 member countries from all over the world. As the surveys are designed for replication, they can be used for both, cross-national and cross-time comparisons. Each ISSP module focuses on a specific topic, which is repeated in regular time intervals. Please, consult the documentation for details on how the national ISSP surveys are fielded. The present study focuses on questions about the environment, climate change and environmental protection. Most important issue and next most important issue for the country; agreement with different statements (private enterprise is the best way to solve economic problems, government´s responsibility to reduce income differences between people with high incomes and those with low incomes, own country should limit the import of foreign products in order to protect its national economy, own country should limit immigration in order to protect the national way of life, international organizations are taking away too much power from the government); country’s highest and next highest priority; amount of trust in people; trust in institutions (university research centres, the news media, business and industry, parliament); extent of personal concern about environmental issues; most important environmental problem for the country as a whole (air pollution, chemicals and pesticides, water shortage, water pollution, nuclear waste, domestic waste disposal, climate change, genetically modified foods, using up our natural resources); attitude towards climate change (the world’s climate has not been changing, the world’s climate has been changing mostly due to natural processes, the world’s climate has been changing about equally due to natural processes and human ... Dataset Iceland CESSDA DC Data Catalogue (Consortium of European Social Science Data Archives)