The catalogue contains study descriptions in various languages. The system searches with your search terms from study descriptions available in the language you have selected. The catalogue does not have ‘All languages’ option as due to linguistic differences this would give incomplete results. See the User Guide for more detailed information.
Data for: Public preferences on policies for climate, local pollution, and health - a survey in seven large Global South countries
Creator
Carson, Richard T. (University of California, San Diego)
Lu, Jiajun (Zhejiang University)
Khossravi, Emily A. (Harvard University)
Köhlin, Gunnar (University of Gothenburg)
Sterner, Erik (University of Gothenburg, University of Gothenburg)
Sterner, Thomas (University of Gothenburg)
Whittington, Dale (University of North Carolina at Chapel Hill)
Study number / PID
2024-624-1 (SND)
https://doi.org/10.5878/jy7v-5k80 (DOI)
Data access
Restricted
Series
Not available
Abstract
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...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
Not available
Country
Chile, Colombia, India, Kenya, Nigeria, South Africa, Tanzania, Viet Nam
Time dimension
Cross-section
Analysis unit
Household
Individual
Universe
Individuals 18 years or older with internet access from the following countries: Chile, Colombia, India, Kenya, Nigeria, South Africa and Vietnam.
Sampling procedure
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.
Probability
Kind of data
Not available
Data collection mode
Interview
Access
Publisher
Swedish National Data Service
Publication year
2025
Terms of data access
Access to data through SND. Access to data is restricted.