Survey data on climate policy in three countries (Peru, Ghana, Philippines) within the project "Sustainable Middle Classes in Middle Income Countries: Transforming Carbon Consumption Patterns (SMMICC)"
Creators
Description
The unprecedented growth of the new middle classes in middle income developing countries implies a strong growth in both consumption and carbon emissions. The research project Sustainable Middle Classes in Middle Income Countries (SMMICC) investigates the drivers of carbon consumption choices of the new middle classes and policy options to decrease their carbon footprints, including the implementation of carbon taxes
The research of the authors generated quantitative data on the acceptability of carbon taxes in three countries (Peru, Ghana, Philippines).
The data is provided in the following formats:
- 2024-07-26_malerba_10.5281/zenodo.12662722_ghana.csv
- 2024-07-26_malerba_10.5281/zenodo.12662722_peru.csv
- 2024-07-26_malerba_10.5281/zenodo.12662722_philippines.csv
- 2024-07-26_malerba_10.5281/zenodo.12662722_ghana.dta
- 2024-07-26_malerba_10.5281/zenodo.12662722_peru.dta
- 2024-07-26_malerba_10.5281/zenodo.12662722_philippines.dta
Additionally, the codebooks on variables of questionnaire and political parties in each country are attached in a csv format.
Notes (English)
Other (English)
Funded by: The Federal Ministry of Education and Research (BMBF)
Methods (English)
Raw data was collected from an online survey following these steps:
- The link to the online survey was send to a quality sample of participants in each case country by Cint (https://de.cint.com/) on criteria of age (18-65) and geographically balanced distribution. Neither the researcher, nor other consultants or partners in the project got or will get email addresses or other personal data from the participants.
- The online questionnaire was designed by Dr. Daniele Malerba and hosted at the online survey platform of SOSCI (https://www.soscisurvey.de). Answers were stored in an anonymous way at this platform, and made accessible for export to the researchers.
- Researchers were able to export the anonymised answers as raw data.
- The researchers cleaned and analysed the raw data countrywise using Stata.
Files
2024-07-26_malerba_10.5281zenodo.12662722_ghana.csv.csv
Files
(7.6 MB)
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Additional details
Related works
- Is described by
- Journal article: 10.1088/1748-9326/ad616b (DOI)
Dates
- Collected
-
2022-07/2022-10