Logo Lanfrica

openwashdata/washinvestments

Domain:

environment and energysocioeconomic

Record type:

dataset
Creator:
ope
Host:
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 …