Data för: The Public’s Views on Climate Policies In Seven Large Global South Countries Data for: The Public’s Views on Climate Policies In Seven Large Global South Countries 2024-624-2 https://doi.org/10.5878/ws31-9g68 Swedish National Data Service Svensk nationell datatjänst Landing page Data för: The Public’s Views on Climate Policies In Seven Large Global South Countries Data for: The Public’s Views on Climate Policies In Seven Large Global South Countries 2024-624-2 https://doi.org/10.5878/ws31-9g68 Carson, Richard T. Carson, Richard T. Lu, Jiajun Lu, Jiajun Khossravi, Emily A. Khossravi, Emily A. Köhlin, Gunnar Köhlin, Gunnar Sterner, Erik Sterner, Erik Sterner, Thomas Sterner, Thomas Whittington, Dale Whittington, Dale Swedish National Data Service Svensk nationell datatjänst Environment for Development Environment for Development (EfD) is a global network of environmental economics research centers solving the world’s most pressing environmental and development challenges. We contribute to effective management of the environment in the Global South through policy-relevant research, capacity development and policy engagement. Environment for Development (EfD) är ett globalt nätverk av forskningscentra inom miljöekonomi som arbetar med att lösa världens mest angelägna miljö- och utvecklingsutmaningar. Vi bidrar till en effektiv förvaltning av miljön i det globala syd genom policyrelevant forskning, kapacitetsutveckling och policyengagemang. Landing page PUBLIC OPINION ALLMÄN OPINION CLIMATE CHANGE KLIMATFÖRÄNDRINGAR ECONOMICS EKONOMI Economic conditions and indicators Ekonomiska förhållanden och indikatorer Economic policy, public expenditure and revenue Ekonomisk politik, offentliga utgifter och intäkter Economic systems and development Ekonomiska system och ekonomisk utveckling The current dataset is a subset of a large data collection based on a purpose-built survey conducted in seven middle-income countries in the Global South: Chile, Colombia, India, Kenya, Nigeria, Tanzania, South Africa and Vietnam. The purpose of the collected variables in the present dataset aims to understanding public preferences as a critical way to any effort to reduce greenhouse gas emissions. There are many studies of public preferences regarding climate change in the Global North. However, survey work in low and middle-income countries is limited. Survey work facilitating cross-country comparisons not using the major omnibus surveys is relatively rare. We designed the Environment for Development (EfD) Seven-country Global South Climate Survey (the EfD Survey) which collected information on respondents’ knowledge about climate change, the information sources that respondents rely on, and opinions on climate policy. The EfD survey contains a battery of well-known climate knowledge questions and questions concerning the attention to and degree of trust in various sources for climate information. Respondents faced several ranking tasks using a best-worst elicitation format. This approach offers greater robustness to cultural differences in how questions are answered than the Likert-scale questions commonly asked in omnibus surveys. We examine: (a) priorities for spending in thirteen policy areas including climate and COVID-19, (b) how respiratory diseases due to air pollution rank relative to six other health problems, (c) agreement with ten statements characterizing various aspects of climate policies, and (d) prioritization of uses for carbon tax revenue. The company YouGov collected data for the EfD Survey in 2023 from 8400 respondents, 1200 in each country. It supplements an earlier survey wave (administered a year earlier) that focused on COVID-19. Respondents were drawn from YouGov’s online panels. During the COVID-19 pandemic almost all surveys were conducted online. This has advantages and disadvantages. Online survey administration reduces costs and data collection times and allows for experimental designs assigning different survey stimuli. With substantial incentive payments, high response rates within the sampling frame are achievable and such incentivized respondents are hopefully motivated to carefully answer the questions posed. The main disadvantage is that the sampling frame is comprised of the internet-enabled portion of the population in each country (e.g., with computers, mobile phones, and tablets). This sample systematically underrepresents those with lower incomes and living in rural areas. This large segment of the population is, however, of considerable interest in its own right due to its exposure to online media and outsized influence on public opinion. The data includes respondents’ preferences for climate change mitigation policies and competing policy issues like health. The data also includes questions such as how respondents think revenues from carbon taxes should be used. The outcome provide important information for policymakers to understand, evaluate, and shape national climate policies. It is worth noting that the data from Tanzania is only present in Wave 1 and that the data from Chile is only present in Wave 2. The current dataset is a subset of a large data collection based on a purpose-built survey conducted in seven middle-income countries in the Global South: Chile, Colombia, India, Kenya, Nigeria, Tanzania, South Africa and Vietnam. The purpose of the collected variables in the present dataset aims to understanding public preferences as a critical way to any effort to reduce greenhouse gas emissions. There are many studies of public preferences regarding climate change in the Global North. However, survey work in low and middle-income countries is limited. Survey work facilitating cross-country comparisons not using the major omnibus surveys is relatively rare. We designed the Environment for Development (EfD) Seven-country Global South Climate Survey (the EfD Survey) which collected information on respondents’ knowledge about climate change, the information sources that respondents rely on, and opinions on climate policy. The EfD survey contains a battery of well-known climate knowledge questions and questions concerning the attention to and degree of trust in various sources for climate information. Respondents faced several ranking tasks using a best-worst elicitation format. This approach offers greater robustness to cultural differences in how questions are answered than the Likert-scale questions commonly asked in omnibus surveys. We examine: (a) priorities for spending in thirteen policy areas including climate and COVID-19, (b) how respiratory diseases due to air pollution rank relative to six other health problems, (c) agreement with ten statements characterizing various aspects of climate policies, and (d) prioritization of uses for carbon tax revenue. The company YouGov collected data for the EfD Survey in 2023 from 8400 respondents, 1200 in each country. It supplements an earlier survey wave (administered a year earlier) that focused on COVID-19. Respondents were drawn from YouGov’s online panels. During the COVID-19 pandemic almost all surveys were conducted online. This has advantages and disadvantages. Online survey administration reduces costs and data collection times and allows for experimental designs assigning different survey stimuli. With substantial incentive payments, high response rates within the sampling frame are achievable and such incentivized respondents are hopefully motivated to carefully answer the questions posed. The main disadvantage is that the sampling frame is comprised of the internet-enabled portion of the population in each country (e.g., with computers, mobile phones, and tablets). This sample systematically underrepresents those with lower incomes and living in rural areas. This large segment of the population is, however, of considerable interest in its own right due to its exposure to online media and outsized influence on public opinion. The data includes respondents’ preferences for climate change mitigation policies and competing policy issues like health. The data also includes questions such as how respondents think revenues from carbon taxes should be used. The outcome provide important information for policymakers to understand, evaluate, and shape national climate policies. It is worth noting that the data from Tanzania is only present in Wave 1 and that the data from Chile is only present in Wave 2. Chile Chile Colombia Colombia India Indien Kenya Kenya Nigeria Nigeria South Africa Sydafrika Tanzania Tanzania Viet Nam Vietnam HouseholdHousehold HushållHushåll IndividualIndividual IndividIndivid Individuals 18 years or older with internet access from the following countries: Chile, Colombia, India, Kenya, Nigeria, South Africa and Vietnam. Individuals 18 years or older with internet access from the following countries: Chile, Colombia, India, Kenya, Nigeria, South Africa and Vietnam. Numeric Text Cross-sectionCross-section TvärsnittTvärsnitt The data were collected from interviews administered online via computers, mobile phones or tablets by YouGov in each country. Countries selected had local research centers within the Environment for Development network and an additional purpose of this study was to provide survey data to them for research projects. Respondents were selected from YouGov’s country-specific panels covering individuals 18 years or older with internet access. Respondents received YouGov’s standard incentive for participation.The data were collected from interviews administered online via computers, mobile phones or tablets by YouGov in each country. Countries selected had local research centers within the Environment for Development network and an additional purpose of this study was to provide survey data to them for research projects. Respondents were selected from YouGov’s country-specific panels covering individuals 18 years or older with internet access. Respondents received YouGov’s standard incentive for participation. The data were collected from interviews administered online via computers, mobile phones or tablets by YouGov in each country. Countries selected had local research centers within the Environment for Development network and an additional purpose of this study was to provide survey data to them for research projects. Respondents were selected from YouGov’s country-specific panels covering individuals 18 years or older with internet access. Respondents received YouGov’s standard incentive for participation.The data were collected from interviews administered online via computers, mobile phones or tablets by YouGov in each country. Countries selected had local research centers within the Environment for Development network and an additional purpose of this study was to provide survey data to them for research projects. Respondents were selected from YouGov’s country-specific panels covering individuals 18 years or older with internet access. Respondents received YouGov’s standard incentive for participation. ProbabilityProbability SannolikhetsurvalSannolikhetsurval InterviewInterview IntervjuIntervju Access to data through SND. Access to data is restricted. Åtkomst till data via SND. Tillgång till data är begränsad. restrictedAccess