Published July 26, 2024 | Version 1.0.0
Dataset Open

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)"

  • 1. ROR icon German Institute of Development and Sustainability
  • 2. University of Bochum

Contributors

  • 1. ROR icon University of Bern

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)

Ethical issues:
As no personal data of the participants was collected and all data was collected anonymously, the ethical risk of this project is considered being low.
Participation on the survey was on voluntary basis. As part of the Informed Consent process, participants were reminded that their data will be used in aggregate and anonymised format for analysis, and that this data will be made publicly available in anonymised form. 

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

Additional details

Related works

Is described by
Journal article: 10.1088/1748-9326/ad616b (DOI)

Dates

Collected
2022-07/2022-10