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Research Database on Infrastructure Economic Performance 1980-2004

Aruba, Afghanistan, Angola...and 190 more, 1980 - 2004
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Reference ID
WLD_2004_IEP_v01_M
Producer(s)
Antonio Estache and Ana Goicoechea
Metadata
DDI/XML JSON
Study website
Created on
Nov 10, 2011
Last modified
Jun 14, 2022
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156307
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  • Study Description
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  • Version
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  • Disclaimer and copyrights
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  • Metadata production
  • Identification

    Survey ID number

    WLD_2004_IEP_v01_M

    Title

    Research Database on Infrastructure Economic Performance 1980-2004

    Country
    Name Country code
    Aruba ABW
    Afghanistan AFG
    Angola AGO
    Albania ALB
    Andorra AND
    Netherlands Antilles ANT
    United Arab Emirates ARE
    Argentina ARG
    Armenia ARM
    American Samoa ASM
    Antigua and Barbuda ATG
    Australia AUS
    Austria AUT
    Azerbaijan AZE
    Burundi BDI
    Belgium BEL
    Benin BEN
    Burkina Faso BFA
    Bulgaria BGR
    Bahrain BHR
    Bosnia and Herzegovina BIH
    Bolivia BOL
    Brazil BRA
    Barbados BRB
    Bhutan BTN
    Botswana BWA
    Central African Republic CAF
    Canada CAN
    Switzerland CHE
    Chile CHL
    China CHN
    Cameroon CMR
    Colombia COL
    Comoros COM
    Cabo Verde CPV
    Costa Rica CRI
    Cuba CUB
    Cayman Islands CYM
    Cyprus CYP
    Czech Republic CZE
    Germany DEU
    Djibouti DJI
    Dominica DMA
    Denmark DNK
    Dominican Republic DOM
    Algeria DZA
    Ecuador ECU
    Spain ESP
    Estonia EST
    Ethiopia ETH
    Finland FIN
    Fiji FJI
    France FRA
    Micronesia, Fed. Sts. FSM
    Gabon GAB
    United Kingdom GBR
    Georgia GEO
    Ghana GHA
    Guinea GIN
    Guinea-Bissau GNB
    Equatorial Guinea GNQ
    Greece GRC
    Grenada GRD
    Greenland GRL
    Guatemala GTM
    Guam GUM
    Guyana GUY
    Hong Kong SAR, China HKG
    Honduras HND
    Croatia HRV
    Haiti HTI
    Hungary HUN
    Indonesia IDN
    Isle of Man IMN
    India IND
    Ireland IRL
    Iraq IRQ
    Iceland ISL
    Israel ISR
    Italy ITA
    Jamaica JAM
    Jordan JOR
    Japan JPN
    Kazakhstan KAZ
    Kenya KEN
    Kyrgyz Republic KGZ
    Cambodia KHM
    Kiribati KIR
    St. Kitts and Nevis KNA
    Korea, Rep. KOR
    Kuwait KWT
    Lao PDR LAO
    Lebanon LBN
    Liberia LBR
    Libya LBY
    St. Lucia LCA
    Liechtenstein LIE
    Sri Lanka LKA
    Lesotho LSO
    Lithuania LTU
    Luxembourg LUX
    Latvia LVA
    Macao SAR, China MAC
    Morocco MAR
    Monaco MCO
    Moldova MDA
    Madagascar MDG
    Maldives MDV
    Mexico MEX
    Marshall Islands MHL
    North Macedonia MKD
    Mali MLI
    Malta MLT
    Myanmar MMR
    Montenegro MNE
    Mongolia MNG
    N. Mariana Isld. MNP
    Mozambique MOZ
    Mauritania MRT
    Mauritius MUS
    Malawi MWI
    Malaysia MYS
    Mayotte MYT
    Namibia NAM
    New Caledonia NCL
    Niger NER
    Nigeria NGA
    Nicaragua NIC
    Netherlands NLD
    Norway NOR
    Nepal NPL
    New Zealand NZL
    Oman OMN
    Pakistan PAK
    Panama PAN
    Peru PER
    Philippines PHL
    Palau PLW
    Papua New Guinea PNG
    Poland POL
    Puerto Rico PRI
    Portugal PRT
    Paraguay PRY
    French Polynesia PYF
    Qatar QAT
    Romania ROU
    Russian Federation RUS
    Rwanda RWA
    Saudi Arabia SAU
    Sudan SDN
    Senegal SEN
    Singapore SGP
    Solomon Islands SLB
    Sierra Leone SLE
    El Salvador SLV
    San Marino SMR
    Somalia SOM
    Serbia SRB
    Sao Tome and Principe STP
    Suriname SUR
    Slovak Republic SVK
    Slovenia SVN
    Sweden SWE
    Eswatini SWZ
    Seychelles SYC
    Syrian Arab Republic SYR
    Chad TCD
    Togo TGO
    Thailand THA
    Tajikistan TJK
    Turkmenistan TKM
    Tonga TON
    Trinidad and Tobago TTO
    Tunisia TUN
    Turkiye TUR
    Tanzania TZA
    Uganda UGA
    Ukraine UKR
    Uruguay URY
    United States USA
    Uzbekistan UZB
    St. Vincent & Grenadines VCT
    Venezuela, RB VEN
    Virgin Islands (U.S.) VIR
    Vietnam VNM
    Vanuatu VUT
    West Bank and Gaza WBG
    Samoa WSM
    Yemen, Rep. YEM
    South Africa ZAF
    Zambia ZMB
    Zimbabwe ZWE
    Yugoslavia Fed. Rep. YUG
    Study type

    Macroeconomics - Indicators

    Abstract

    Estache and Goicoechea present an infrastructure database that was assembled from multiple sources. Its main purposes are: (i) to provide a snapshot of the sector as of the end of 2004; and (ii) to facilitate quantitative analytical research on infrastructure sectors. The related working paper includes definitions, source information and the data available for 37 performance indicators that proxy access, affordability and quality of service (most recent data as of June 2005). Additionally, the database includes a snapshot of 15 reform indicators across infrastructure sectors.

    This is a first attempt, since the effort made in the World Development Report 1994, at generating a database on infrastructure sectors and it needs to be recognized as such. This database is not a state of the art output—this is being worked on by sector experts on a different time table. The effort has however generated a significant amount of new information. The database already provides enough information to launch a much more quantitative debate on the state of infrastructure. But much more is needed and by circulating this information at this stage, we hope to be able to generate feedback and fill the major knowledge gaps and inconsistencies we have identified.

    Kind of Data

    Aggregate data [agg]

    Version

    Version Date

    2005-06

    Scope

    Notes

    The database encompasses indicators for the following infrastructure sectors: Energy, Water and Sanitation, Transport, and Information and Communication Technology (ICT).

    The database brings together in a single document multiple sources of information on sector specific performance indicators and offers new data on the institutional characteristics of the sector. It is ultimately intended to also facilitate analytical assessments of sectors' economic health.

    The data collected focus on four basic policy areas:

    • access
    • affordability
    • quality
    • institutional reform

    The database reports as much information as possible on these four policy areas for 207 countries. It was organized in a systematic manner to facilitate policy analysis and research, providing a service-oriented view of the sector with emphasis on the needs of residential users, and complementing recent survey efforts generating information on the investment climate.

    Coverage

    Geographic Coverage

    The database covers the following countries:

    • Afghanistan
    • Albania
    • Algeria
    • American Samoa
    • Andorra
    • Angola
    • Antigua and Barbuda
    • Argentina
    • Armenia
    • Aruba
    • Australia
    • Austria
    • Azerbaijan
    • Bahamas, The
    • Bahrain
    • Bangladesh
    • Barbados
    • Belarus
    • Belgium
    • Belize
    • Benin
    • Bermuda
    • Bhutan
    • Bolivia
    • Bosnia and Herzegovina
    • Botswana
    • Brazil
    • Brunei
    • Bulgaria
    • Burkina Faso
    • Burundi
    • Cambodia
    • Cameroon
    • Canada
    • Cape Verde
    • Cayman Islands
    • Central African Republic
    • Chad
    • Channel Islands
    • Chile
    • China
    • Colombia
    • Comoros
    • Congo, Dem. Rep.
    • Congo, Rep.
    • Costa Rica
    • Cote d'Ivoire
    • Croatia
    • Cuba
    • Cyprus
    • Czech Republic
    • Denmark
    • Djibouti
    • Dominica
    • Dominican Republic
    • Ecuador
    • Egypt, Arab Rep.
    • El Salvador
    • Equatorial Guinea
    • Eritrea
    • Estonia
    • Ethiopia
    • Faeroe Islands
    • Fiji
    • Finland
    • France
    • French Polynesia
    • Gabon
    • Gambia, The
    • Georgia
    • Germany
    • Ghana
    • Greece
    • Greenland
    • Grenada
    • Guam
    • Guatemala
    • Guinea
    • Guinea-Bissau
    • Guyana
    • Haiti
    • Honduras
    • Hong Kong, China
    • Hungary
    • Iceland
    • India
    • Indonesia
    • Iran, Islamic Rep.
    • Iraq
    • Ireland
    • Isle of Man
    • Israel
    • Italy
    • Jamaica
    • Japan
    • Jordan
    • Kazakhstan
    • Kenya
    • Kiribati
    • Korea, Dem. Rep.
    • Korea, Rep.
    • Kuwait
    • Kyrgyz Republic
    • Lao PDR
    • Latvia
    • Lebanon
    • Lesotho
    • Liberia
    • Libya
    • Liechtenstein
    • Lithuania
    • Luxembourg
    • Macao, China
    • Macedonia, FYR
    • Madagascar
    • Malawi
    • Malaysia
    • Maldives
    • Mali
    • Malta
    • Marshall Islands
    • Mauritania
    • Mauritius
    • Mayotte
    • Mexico
    • Micronesia, Fed. Sts.
    • Moldova
    • Monaco
    • Mongolia
    • Morocco
    • Mozambique
    • Myanmar
    • Namibia
    • Nepal
    • Netherlands
    • Netherlands Antilles
    • New Caledonia
    • New Zealand
    • Nicaragua
    • Niger
    • Nigeria
    • Northern Mariana Islands
    • Norway
    • Oman
    • Pakistan
    • Palau
    • Panama
    • Papua New Guinea
    • Paraguay
    • Peru
    • Philippines
    • Poland
    • Portugal
    • Puerto Rico
    • Qatar
    • Romania
    • Russian Federation
    • Rwanda
    • Samoa
    • San Marino
    • Sao Tome and Principe
    • Saudi Arabia
    • Senegal
    • Seychelles
    • Sierra Leone
    • Singapore
    • Slovak Republic
    • Slovenia
    • Solomon Islands
    • Somalia
    • South Africa
    • Spain
    • Sri Lanka
    • St. Kitts and Nevis
    • St. Lucia
    • St. Vincent and the Grenadines
    • Sudan
    • Suriname
    • Swaziland
    • Sweden
    • Switzerland
    • Syrian Arab Republic
    • Tajikistan
    • Tanzania
    • Thailand
    • Togo
    • Tonga
    • Trinidad and Tobago
    • Tunisia
    • Turkey
    • Turkmenistan
    • Uganda
    • Ukraine
    • United Arab Emirates
    • United Kingdom
    • United States
    • Uruguay
    • Uzbekistan
    • Vanuatu
    • Venezuela, RB
    • Vietnam
    • Virgin Islands (U.S.)
    • West Bank and Gaza
    • Yemen, Rep.
    • Yugoslavia, FR (Serbia/Montenegro)
    • Zambia
    • Zimbabwe

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Antonio Estache and Ana Goicoechea World Bank

    Sampling

    Response Rate

    Sector Performance Indicators

    Energy
    The energy sector is relatively well covered by the database, at least in terms of providing a relatively recent snapshot for the main policy areas. The best covered area is access where data are available for 2000 for about 61% of the 207 countries included in the database. The technical quality indicator is available for 60% of the countries, and at least one of the perceived quality indicators is available for 40% of the countries. Price information is available for about 41% of the countries, distinguishing between residential and non residential.

    Water & Sanitation
    Because the sector is part of the Millennium Development Goals (MDGs), it enjoys a lot of effort on data generation in terms of the access rates. The WHO is the main engine behind this effort in collaboration with the multilateral and bilateral aid agencies. The coverage is actually quite high -some national, urban and rural information is available for 75 to 85% of the countries- but there are significant concerns among the research community about the fact that access rates have been measured without much consideration to the quality of access level. The data on technical quality are only available for 27% of the countries. There are data on perceived quality for roughly 39% of the countries but it cannot be used to qualify the information provided by the raw access rates (i.e. access 3 hours a day is not equivalent to access 24 hours a day).

    Information and Communication Technology
    The ICT sector is probably the best covered among the infrastructure sub-sectors to a large extent thanks to the fact that the International Telecommunications Union (ITU) has taken on the responsibility to collect the data. ITU covers a wide spectrum of activity under the communications heading and its coverage ranges from 85 to 99% for all national access indicators. The information on prices needed to make assessments of affordability is also quite extensive since it covers roughly 85 to 95% of the 207 countries. With respect to quality, the coverage of technical indicators is over 88% while the information on perceived quality is only available for roughly 40% of the countries.

    Transport
    The transport sector is possibly the least well covered in terms of the service orientation of infrastructure indicators. Regarding access, network density is the closest approximation to access to the service and is covered at a rate close to 90% for roads but only at a rate of 50% for rail. The relevant data on prices only cover about 30% of the sample for railways. Some type of technical quality information is available for 86% of the countries. Quality perception is only available for about 40% of the countries.

    Institutional Reform Indicators

    Electricity
    The data on electricity policy reform were collected from the following sources: ABS Electricity Deregulation Report (2004), AEI-Brookings telecommunications and electricity regulation database (2003), Bacon (1999), Estache and Gassner (2004), Estache, Trujillo, and Tovar de la Fe (2004), Global Regulatory Network Program (2004), Henisz et al. (2003), International Porwer Finance Review (2003-04), International Power and Utilities Finance Review (2004-05), Kikukawa (2004), Wallsten et al. (2004), World Bank Caribbean Infrastructure Assessment (2004), World Bank Global Energy Sector Reform in Developing Countries (1999), World Bank staff, and country regulators.
    The coverage for the three types of institutional indicators is quite good for the electricity sector. For regulatory institutions and private participation in generation and distribution, the coverage is about 80% of the 207 counties. It is somewhat lower on the market structure with only 58%.

    Water & Sanitation
    The data on water policy reform were collected from the following sources: ABS Water and Waste Utilities of the World (2004), Asian Developing Bank (2000), Bayliss (2002), Benoit (2004), Budds and McGranahan (2003), Hall, Bayliss, and Lobina (2002), Hall and Lobina (2002), Hall, Lobina, and De La Mote (2002), Halpern (2002), Lobina (2001), World Bank Caribbean Infrastructure Assessment (2004), World Bank Sector Note on Water Supply and Sanitation for Infrastructure in EAP (2004), and World Bank staff. The coverage for institutional reforms in W&S is not as exhaustive as for the other utilities. Information on the regulatory institutions responsible for large utilities is available for about 67% of the countries. Ownership data are available for about 70% of the countries. There is no information on the market structure good enough to be reported here at this stage. In most countries small scale operators are important private actors but there is no systematic record of their existence. Most of the information available on their role and importance is only anecdotal.

    Information and Communication Technology
    The report Trends in Telecommunications Reform from ITU (revised by World Bank staff) is the main source of information for this sector. The information on institutional reforms in the sector is however not as exhaustive as it is for its sector performance indicators. While the coverage on the regulatory institutions is 100%, it varies between 76 and 90% of the countries for more of the other indicators. Quite surprisingly also, in contrast to what is available for other sectors, it proved difficult to obtain data on the timing of reforms and of the creation of the regulatory agencies.

    Transport
    Information on transport institutions and reforms is not systematically generated by any agency. Even though more data are needed to have a more comprenhensive picture of the transport sector, it was possible to collect data on railways policy reform from Janes World Railways (2003-04) and complement it with interviews to World Bank task managers. When possible, data were cross-checked by colleagues from other multilateral agencies, and experts in private companies. Data are available for 65% of the countries.

    Data collection

    Dates of Data Collection
    Start End
    1980 2004
    Time periods
    Start date End date
    1980 2004
    Data Collection Notes

    The data are from publicly available sources and experts in international organizations. The main sources are Demographic and Health Surveys (DHS), Global Competitiveness Report (GCR), International Energy Agency (IEA), International Telecommunications Union (ITU), World Health Organization (WHO), and World Development Indicators (WDI). We have also been able to rely on data generated by published academic research. Whenever possible we have validated the data by crossreferencing multiple sources and consulting with staff at international organizations to double, and sometimes triple, check the data.

    Data appraisal

    Data Appraisal

    Limitations

    The main limitations of the database come from 3 main sources: (i) data reliability; (ii) coverage and (iii) subjectivity of the institutional variables.

    Data Reliability

    The first phase of the database project consisted in collecting data from publicly available sources. Thus, the quality of the data depends on the source’s methods and consistency and it is not uniform across the database. A preliminary check was conducted by various auditors and users over a 12 month period but this check has not been thorough enough to be able to argue that all data are fully reliable.

    Coverage

    Coverage is overall low and needs to be increased to allow for good cross-country analysis. As usual, better data are available the higher the income of the countries. Thus, efforts should be placed to produce good quality data in low income countries of the region. Also, when possible, experts should suggest methods to consistently complete or improve the coverage of infrastructure indicators building on what has been already collected.

    Institutions

    On policy reform indicators the main issue is the subjective character of the data collected. With the exception of ICT related data, all the data reported are based on questionnaires collected by academic authors or by us with a view to minimize the time the experts have to allocate to generate the information needed. We tried long questionnaires and the return was quite low and in a second round we focused on yes vs. no questions to the extent possible. Policy reform indicators included in the database were defined to capture the existence of a certain step of reforms. However, the database doesn’t include, at the moment, indicators that measure the “degree” of reforms. For instance, the degree of independence of the regulatory agency and the degree of private participation in a particular sector.

    Data Access

    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 acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Example:

    Antonio Estache and Ana Goicoechea, World Bank. Research Database on Infrastructure Economic Performance (IEP) 1980-2004. Ref. WLD_2004_IEP_v01_M. Dataset downloaded from http://microdata.worldbank.org on [date]

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Contacts

    Contacts
    Name Affiliation Email URL
    Development Research Group World Bank research@worldbank.org http://go.worldbank.org/B9W4QTDHR0

    Metadata production

    DDI Document ID

    DDI_WLD_2004_IEP_v01_M

    Date of Metadata Production

    2010-11-13

    Metadata version

    DDI Document version

    Version 01 (November 2010)

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