openwashdata/washinvestments
Domaine:
environment and energysocioeconomicType de record:
dataset
Créateur:
ope
Hôte:
Dataset on multilateral development bank (MDB) investment in water supply and sanitation associated with the paper "Multilateral development banks investment behaviour in water and sanitation: Findings and lessons from 60 years of investment projects in Africa and Asia" (Heidler et al. 2023).
# washinvestments
The goal of washinvestments is to provide users documentation on the
data set published alongside the article “Multilateral development banks
investment behaviour in water and sanitation: Findings and lessons from
60 years of investment projects in Africa and Asia” (Heidler et al.
2023).
## Installation
You can install the development version of washinvestments from
GitHub with:
``` r
# install.packages("devtools")
devtools::install_github("openwashdata/washinvestments")
```
Alternatively, you can download the dataset as a CSV or XLSX file from
the table below.
| dataset | CSV | XLSX |
|:----------------|:----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------|
| washinvestments | Download CSV | Download XLSX |
## Project goal
Multilateral development banks (MDBs) significantly influence water and
sanitation infrastructure development. However, data on their
investments is dispersed and hard to compare. This project presents a
new data set compiled by drawing on 3,639 water and sanitation projects
that aims at assessing “territorial trends, technology choices,
distribution of financial burdens, and reforms to institutional
arrangements to analyze the investment behaviour of the World Bank, ADB,
and AfDB in water supply and sanitation from their first operations in
the 1960s until 2020 and distil how they responded to trends in
urbanization and the policy debates about governing access to basic
services.” (Heidler et al. 2023)
## Data
The data set includes information about water and sanitation projects
conducted in Africa and Asia between 1960 and 2020. T …