Can complementary currencies foster sustainability? A systematic review of the impacts of environmental complementary currencies
Description
Replication package - Contain raw data and codes to reproduce results and figures.
Files
Steps to reproduce
Reconstruction of datasets and replication of results can be performed in Stata using the “Do_file_replication_and_figures”. In a nutshell, in this script: - Lines 1 to 91: Raw datasets in .CSV format, obtained from our first round of queries on Scholar, Scopus, and field-specific databases, are aggregated into .DTA files. This process produces the <initial_overall_dataset>, consolidating all raw data extracted from this initial search. - Lines 92 to 252: Aggregation of raw results from additional queries on Scholar and Scopus, including variations from initial searches such as the plural form of keywords, other impact and currency terms, and keyword combinations to ensure sample robustness. The resulting consolidated dataset, <control_aggreg_data_ATY>, includes all results from this second round of queries, refined based on feedback received during two presentations at international and national conferences. All database- and query-specific datasets are stored in the {AGGREGATE_DATASETS} folder. The folder [Extracted data] contains datasets with papers extracted from various online sources. The organization of this folder is detailed in the ReadMe file. The “Do_file_replication_and_figures” enables the reconstruction of both the overall and final samples. Then, from lines 253 to 296, all papers from the initial searches are consolidated into a .CSV and .DTA file, named <initial_dataset_with_control.csv>. From this dataset, we manually remove duplicates, conduct a title and abstract analysis, and check for the occurrence of keywords “ecology”, “environment”, “ecological”, “environmental”, and “currency”. It results in the <systematic_search_10_12.csv> used to construct our final sample of papers. In this dataset, we sort papers according to their relevance. The subsequent section of the code checks for encoding errors and controls whether there is the correct number of papers from each database. This process results in the <included_papers> dataset, which contains the 32 papers considered in the analysis. From line 358 to the end, the “Do_file_replication_and_figures” script can be used to replicate graphs in the bibliometric analysis and appendix. The datasets required to generate these figures are located in the {data_figures} subfolder within the [Figures] folder.