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]

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.

Mode of data collection

Internet [int]

This set of contract awards includes data on commitments against contracts that were reviewed by the Bank before they were awarded (prior-reviewed Bank-funded contracts) under IDA/IBRD investment projects and related Trust Funds. This dataset does not list all contracts awarded by the Bank, and should be viewed only as a guide to determine the distribution of major contract commitments among the Bank's member countries. "Supplier Country" represents place of supplier registration, which may or not be the supplier's actual country of origin. Information does not include awards to subcontractors nor account for cofinancing. The Procurement Policy and Services Group does not guarantee the data included in this publication and accepts no responsibility whatsoever for any consequences of its use. The World Bank complies with all sanctions applicable to World Bank transactions.

Data collected and prepared for a project of the World Bank Group Power Transmission Project in Support of the Energy Sector Reform & Development Program in Ukraine. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P096207/power-transmission-project-support...

Data collected and prepared for a project of the World Bank Group Electricity Market Project in Romania. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P081406/electricity-market-project?lang=en

Data collected and prepared for a project of the World Bank Group Energy Community of South East Europe APL 3 Montenegro Project in Montenegro. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P106899/energy-community-south-east-europe...

Financial Intermediary Funds (FIFs) are multilateral financing arrangements for which the World Bank provides Trustee services that include committing and transferring funds to project implementers (generally international organizations such as multilateral development banks or UN agencies). In all cases the World Bank as Trustee is required to act in accordance with instructions of independent governing bodies.

In fulfilling its responsibilities, the World Bank as Trustee complies with all sanctions applicable to World Bank transactions.

Funding Decisions represent amounts approved by the FIFs governing bodies for projects fees and administrative budgets. Funding to projects can be done through various financial products, including grants and concessional loans.

Data collected and prepared for a project of the World Bank Group Power Transmission Project in Azerbaijan. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://documents.worldbank.org/curated/en/965571468219011886/Azerbaijan-...

Data collected and prepared for a project of the World Bank Group Modernization and Upgrade of Transmission Substations project in Uzbekistan. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P156584/?lang=en&tab=overview

Data collected and prepared for a project of the World Bank Group ELECTRICITY SUPPLY RELIABILITY PROJECT in Armenia. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more about the project, please visit http://projects.worldbank.org/P116748/electricity-supply-reliability-pro...

Data collected and prepared for a project of the World Bank Group Electricity Market Project in Romania. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P081406/electricity-market-project?lang=en

It is one of several outputs from the small hydro resource mapping component of the activity “Renewable Energy Resource Mapping and Geospatial Planning – Vietnam” [Project ID: P145513]. This output is the result of the digitization of existing small and large hydropower in Vietnam. Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Vietnam Small Hydro GIS Atlas, 2017, https://energydata.info/dataset/vietnam-small-hydro-mapping-2017"

Data collected and prepared for a project of the World Bank Group Power Transmission Project in Support of the Energy Sector Reform & Development Program in Ukraine. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P096207/power-transmission-project-support...

Data collected and prepared for a project of the World Bank Group Privatization of the Power Distribution System Operator (OSSH) Partial Risk Guarantee in Albania. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P112242/privatization-power-distribution-s...

Abstract

The World Bank WeTour Project aimed to contribute to improved knowledge of the characteristics of Women-owned/led Micro, Small and Medium Sized Enterprises (WSMEs) in tourism in Ghana and Sierra Leone. It is intended that this knowledge and data will be used by projects and programs in those countries to inform the design of gender-targeted tourism SME support services. This survey is representative of male and female enterprises.

Geographic coverage

In Sierra leone, two destination areas were identified as Freetown and the Western Area.

Analysis unit

Micro, Small and Medium Tourism and tourism-related enterprises

Universe

The universe of MSMEs in Tourism and Tourism-related sectors of Freetown and the Western Area in Sierra Leone comprises 1,067 entities identified individually in the sampling frame.

Kind of data

Sample survey data [ssd]

Sampling procedure

The universe of tourism and tourism related SMEs was constructed in each country using all available sources. For both countries the original sample frame of SMEs was compiled from previous sample frames developed for enterprise surveys by EEC International, the amalgamation of past listings of SMEs from the NSO and other public registries, as well as numerous other sources collated from business associations and other publicly available sources of tourism-related information portals, namely: travel agent reservation systems such as Amadeus and Sabre, tourism and tourism-related websites such as Expedia and TripAdvisor, as well as establishments referenced on Google Maps and appearing on Google Street View. The sample frame for micro enterprises was planned to result from systematic block enumeration in the targeted locations. During the block enumeration, entities were identified by a number on a list and a geographical reference (map or other description of the location), information on its apparent activity (tourism or tourism-related), as well as visible gender composition (no apparent female, no apparent male, mixed presence). Neither the activity composition nor the gender composition were known at inception. The validation of the sample frame consisted in ensuring that there were no foreign elements (activities not included in the universe under study).

The sampling strategy that EECI applied for the Tourism and Tourism related Sectors applying consisted in randomly drawing from the frame of MSMEs a screened sample until the minimum number of male and female respondents targeted was obtained, inclusive of the expected non-response.

For Sierra Leone, the frame contained a total of 1,067 entities, of which 705 micros and 362 SMEs. A random draw of 323 entities, consisting of 212 micros and 111 SMEs generated through a screening 125 female entities and 198 male entities. The entire group of 125 female entities was directed to interviewing, and the first 125 male entities that were screened, were directed to interviewing, with an expected 120 respondents by genre. For more details see Methodology Note provided under Related Documents.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Data entry and quality controls were implemented by the contractor then data was delivered to the World Bank. The World Bank validated data were validated for logical consistency, flagging problems that were then corrected by the implementing contractor.

Response rate

The response rate was 96.6% for Sierra Leone. There are slight variations of these indicators by sub-groups of businesses.

Sampling error estimates

According to sample design, it is possible to generalize survey results (at a precision of 7.5% and a confidence level of 90%) at the sector level, and the respective gender sub-groups of businesses.

The interactive map of Lao PDR highlights the 12 districts in Oudomxai, Phongsaly, Xieng Khouang and Houaphan provinces, targeted by the Strategic Support for Food Security Project (SSFSNP) and located in the mountainous regions in the North of the country. The project is expecting to reduce extreme poverty and malnutrition in 400 food insecure villages and 34,000 poor smallholder households, with a predominantly non-Tai ethnic population. The map shows that according to the most recent reports the selected districts are located in provinces with more than 40% of the population living below the country poverty line.

Data Sources:

SSFSNP Locations:

Source: GAFSP Documents.

Poverty Incidence (Proportion of population below the poverty line) (2007): Proportion of the population living on less than Kip 92,959 (US$8.79) per person per month.

Source: Lao Statistics Bureau - World Bank. “Lao PDR Poverty Trends 1992/93-2002/03 (2004).”

Malnutrition (Proportion of underweight children under 5 years) (2011-12): Prevalence of severely underweight children is the percentage of children under age 5 whose weight-for-age is more than 3 standard deviations below the median for the international reference population ages 0-59 months.

Source: Measure DHS - Ministry of Health (MoH) and Lao Statistics Bureau (LSB). “Lao PDR Lao Social Indicator Survey (LSIS) 2011-12 (MULTIPLE INDICATOR CLUSTER SURVEY / DEMOGRAPHIC AND HEALTH SURVEY (2012).”

Total Population (2012): Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship, except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin.

Source: LAO Statistics Bureau (LSB). “Statistical Yearbook 2012 –Population Estimation and Density 2012.”

Population Density (2010): Population divided by land area in square kilometers.

Source: LAO Statistics Bureau (LSB). “Statistical Yearbook 2012 –Population Estimation and Density 2012.”

Total Population (2015): Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship, except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin.

Source: LAO Statistics Bureau (LSB). "The 4th Population and Housing Census 2015 (PHC) 2015."

Population Density (2015): Population divided by land area in square kilometers.

"The 4th Population and Housing Census 2015 (PHC) 2015."

Rice Harvested Area and Production: Harvested area in hectares by rice type and total production in tons by rice type 2012.

Source: Lao PDR Statistics Bureau (LBR) - Ministry of Agriculture and Forestry. “Statistical Yearbook 2012.”

The maps displayed on the GAFSP website are for reference only. The boundaries, colors, denominations and any other information shown on these maps do not imply, on the part of GAFSP (and the World Bank Group), any judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.

Combination of the following sources: 1) Data collected and prepared for a project of the World Bank Group in 2007, digitized from a PDF map. 2) ECREEE transmission network for West Africa, online at ECOWREX Includes existing as well as planned projects.

This High Resolution High Voltage Grid Map based on Machine Learning dataset was prepared by Development Seed under contract to The World Bank. This project was funded and supported by the Energy Sector Management Assistance Program (ESMAP), a multi-donor trust fund administered by The World Bank.

Note: This dataset has been updated with transmission lines for the MENA region. This is the most complete and up-to-date open map of Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007. Coverage This dataset includes planned and existing grid lines for all continental African countries and Madagascar, as well as the Middle East region. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country. An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer. Sources The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For MENA: Arab Union of Electricity and country utilities. For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information. Limitations Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed. The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.

This dataset has been updated with transmission lines for the MENA region. This is the most complete and up-to-date open map of Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007. Coverage This dataset includes planned and existing grid lines for all continental African countries and Madagascar, as well as the Middle East region. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country. An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer. Sources The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For MENA: Arab Union of Electricity and country utilities. For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information. Limitations Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed. The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.

Data collected and prepared for a project of the World Bank Group Power Transmission Project in Azerbaijan. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://documents.worldbank.org/curated/en/965571468219011886/Azerbaijan-...