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Landscape Survey - State of Economic Inclusion 2019-2020

Afghanistan, Argentina, Burundi, Benin, Burkina Faso, Bulgaria, Bolivia, Brazil, Bhutan, Chile, China, Cameroon, Colombia, Comoros, Costa Rica, C..., 2019 - 2020
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Partnership for Economic Inclusion
Created on April 26, 2021 Last modified April 26, 2021 Page views 5496 Download 409 Documentation in PDF Metadata DDI/XML JSON

Identification

Survey ID Number
WLD_2019_LS_v01_M
Title
Landscape Survey - State of Economic Inclusion 2019-2020
Country/Economy
Name Country code
Afghanistan AFG
Argentina ARG
Burundi BDI
Benin BEN
Burkina Faso BFA
Bulgaria BGR
Bolivia BOL
Brazil BRA
Bhutan BTN
Chile CHL
China CHN
Cameroon CMR
Colombia COL
Comoros COM
Costa Rica CRI
Cyprus CYP
Djibouti DJI
Dominican Republic DOM
Ecuador ECU
Egypt, Arab Rep. EGY
Ethiopia ETH
Ghana GHA
Guinea-Bissau GNB
Guatemala GTM
Honduras HND
Haiti HTI
Indonesia IDN
India IND
Iraq IRQ
Jordan JOR
Kenya KEN
Cambodia KHM
Kosovo KSV
Lebanon LBN
Liberia LBR
Morocco MAR
Madagascar MDG
Mexico MEX
Mali MLI
Myanmar MMR
Mongolia MNG
Mozambique MOZ
Mauritania MRT
Malawi MWI
Namibia NAM
Niger NER
Nigeria NGA
Pakistan PAK
Panama PAN
Peru PER
Philippines PHL
Paraguay PRY
Rwanda RWA
Sudan SDN
El Salvador SLV
Somalia SOM
South Sudan SSD
Syrian Arab Republic SYR
Chad TCD
Togo TGO
Tonga TON
Tunisia TUN
Turkey TUR
Tanzania TZA
Uganda UGA
Uzbekistan UZB
Vietnam VNM
West Bank and Gaza WBG
Yemen, Rep. YEM
Zambia ZMB
Zimbabwe ZWE
Sint Maarten (Dutch part) SXM
Study type
Administrative Records, Other (ad/oth]
Abstract
The Partnership for Economic Inclusion (PEI) Landscape Survey 2019 - 2020 aimed to provide a comprehensive inventory of ongoing economic inclusion programs, or those that are in the development pipeline. For the purpose of the PEI Landscape Survey 2019 - 2020, the PEI management team (PEIMT) defined economic inclusion programs as multidimensional interventions that support and enable households to achieve sustainable livelihoods and increase their incomes and assets, while building human capital and promoting social inclusion.

To map the universe of economic inclusion programs, the PEIMT reviewed the World Bank financing portfolio as well as external sources. The first stage of the World Bank portfolio scan involved manually reviewing ongoing and pipeline programs from the Social Protection and Jobs (SPJ) Global Practice, listed in the World Bank Operations Portal, across all geographical regions. To determine whether a program focused on economic inclusion, the PEIMT reviewed each program's development objective and the component description included in its Project Appraisal Document (PAD) or, when a PAD was not available, its Project Information Document (PID), Project Paper (PP), or Project Information and Integrated Safeguards Data Sheet (PSDS).
Kind of Data
Administrative records data [adm]

Version

Version Description
Version 01: Edited, anonymous dataset for public distribution.

Producers and sponsors

Primary investigators
Name Affiliation
Partnership for Economic Inclusion World Bank Group
Producers
Name Affiliation Role
Ines Arevalo Sanchez Parternship for Economic Inclusion Lead for survey design and data collection

Sampling

Sampling Procedure
To map the universe of economic inclusion programs, the PEIMT reviewed the World Bank financing portfolio as well as external sources. The first stage of the World Bank portfolio scan involved manually reviewing ongoing and pipeline projects from the Social Protection and Jobs (SPJ) Global Practice, listed in the World Bank Operations Portal, across all geographical regions. To determine whether a program focused on economic inclusion, the PEIMT reviewed each project's development objective and the component description included in its Project Appraisal Document (PAD) or, when a PAD was not available, its Project Information Document (PID), Project Paper (PP), or Project Information and Integrated Safeguards Data Sheet (PSDS).

As a second stage, in order to validate each economic inclusion program and to speed up the mapping process, the PEIMT worked with the Text and Data Analytics (TDA) team from the Development Economics (DEC) department of the World Bank. Using a predefined set of keywords , the TDA team applied advanced text analytics to projects' summaries as well as to their PADs, PIDs, PPs, or PSDSs. They applied this technique to a total sample of approximately 1,200 projects (both active and pipeline) across all geographical regions under these Global Practices: Urban Resilience and Land; Social Development; Social Protection and Jobs; Finance, Competitiveness and Innovation; and Agriculture and Food. The team then ranked projects based on the number of keywords found. Any project that had at least one keyword could be considered an economic inclusion project. The PEIMT then compared the TDA-assisted selection with the manual selection for the SPJ projects and found that the results were accurate in correctly excluding projects. The TDA-assisted selection, however, also included far more projects than the manual review did.

To finalize the mapping of World Bank-financed economic inclusion projects, the PEIMT team manually reviewed the TDA-assisted selection of economic inclusion projects for the remaining Global Practices. The team assessed the relevance of a project based on project summaries, the types of words identified through the TDA techniques, and the frequency with which keywords came up in the project documents. In some cases, when a summary did not provide enough information, the PAD was reviewed to make a final decision. Overall, the TDA methods allowed the PEIMT to trim the number of projects for review by half. In total, the PEIMT identified 149 World Bank economic inclusion projects (representing 92 individual government programs in 57 countries ). Surveys were sent to these 92 unique identified programs, and responses were received back from 77 of them. The mapping of World Bank-supported projects was updated in June 2020 through a full manual review of nearly 50 projects from the Environment and Natural Resources Global Practice, which resulted in 17 additional projects and a total of 166 economic inclusion projects supported by the World Bank.

To map projects outside of World Bank operations, the PEIMT used the PEI's 2017 survey dataset to identify projects that were still ongoing as well as partners, including governments, NGOs, regional organizations, multilaterals, and other development partners involved in economic inclusion programming. Organizations were approached to self-identify programs that met a prescribed set of criteria, which had been developed based on the working definition of economic inclusion programs. Since the 2017 survey captured mostly non-government programs, in order to map other relevant economic inclusion interventions the PEIMT scanned several databases and inventories of social protection and productive inclusion programs, including ECLAC's database of labor and productive inclusion programs in Latin America and the Caribbean and Manchester's Social Assistance database. The number of projects identified outside of the World Bank portfolio totaled 146, from which 140 responses were expected and 127 responses were received.

Data Collection

Dates of Data Collection
Start End
2019-11-15 2020-06-10
Data Collection Mode
Internet [int]
Data Collection Notes
The survey was completed by staff from the lead implementing agency, implementing partners, or other organizations providing support to programs. It was made available in English, French, and Spanish through an online platform. An offline version was provided to programs that could not complete the survey online. Each returned survey represented a unique program; organizations that were involved in more than one economic inclusion program filled out several surveys.

The survey was administered between November 2019 and January 2020, with an update in June 2020. This involved reaching out to economic inclusion program representatives, soliciting survey responses, following up with emails and phone calls, and assisting with survey completion, as needed.

Data was self-reported, so data quality relied primarily on respondents’ knowledge of the program and understanding of the survey questions. To ensure overall quality, the survey tool had several quality-control features embedded in its design and to further improve data accuracy, the PEIMT undertook a full quality review of all the forms, checked the completeness and consistency of survey responses during the survey data collection process and, where needed, followed up with survey respondents to request clarifications or additional information wherever data was missing or inconsistencies were found.

Access policy

Contacts
Name Affiliation Email
Timothy Peter Joseph Clay Partnership for Economic Inclusion tclay@worldbankgroup.org
Confidentiality
Users of the data agree to keep confidential all data contained in these datasets and to make no attempt to identify, trace or contact any individual whose data is included in these datasets.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download

Example,

Partnership for Economic Inclusion, World Bank Group. Landscape Survey, State of Economic Inclusion (LS) 2019-2020 . Ref. WLD_2019_LS_v01_M. Dataset downloaded from [url] on [date].

Metadata production

DDI Document ID
DDI_WLD_2019_LS_v02_M_WB
Producers
Name Abbreviation Affiliation Role
Development Economics Data Group DECDG World Bank Documentation of the study
Date of Metadata Production
2020-12-10
DDI Document version
DDI Document - Version 02 - (04/21/21)
This version is identical to DDI_WLD_2019_LS_v01_M_WB but country field has been updated to capture all the countries covered by survey.

Version 01 (December 2020)

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