logo

PPPs data collection 2023

Sector: Power Generation (CCGT) • Location: Spain

Source: EU Funding & Tenders Portal

Project
Ended

"PPPs data collection 2023. The overall purpose of the Eurostat/OECD Purchasing Power Parities (PPP) programme is to provide users with high quality PPPs and related economic indicators. To achieve this aim, the NSI will fulfil the specific tasks under Objectives A to F. Additional task under Objective G are also included (Objective G.3). The action is divided into 7 objectives: Objective A: Cons

Project Information FAQ

Project Information

4 Q
The project “PPPs data collection 2023” is an infrastructure initiative in the Power Generation (CCGT) sector, located in Spain. Taiyo aggregates data on it from EU Funding & Tenders Portal.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

ended

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

"PPPs data collection 2023. The overall purpose of the Eurostat/OECD Purchasing Power Parities (PPP) programme is to provide users with high quality PPPs and related economic indicators. To achieve this aim, the NSI will fulfil the specific tasks under Objectives A to F. Additional task under Objective G are also included (Objective G.3). The action is divided into 7 objectives: Objective A: Consumer goods price surveys The aim of the consumer goods price surveys is to have a data set of average prices of a sufficient number of consumer products defined on each survey's item list that enables a calculation of price ratios across countries in order to establish good quality PPPs. The data shall be supported with metadata. Preview and pre-survey work, countries’ meetings, contractor’s visits to the countries is to enable the creation of a balanced European item list containing a sufficient number of available and representative items for each country. The aim of the price collection and consequent validation work is to get a data set with a sufficient number of price observations per available item for each survey. Spatial adjustment coefficients are used to convert the capital city average prices into the national average prices of each item for which prices have been observed. Objective B: Estate agencies rent surveys The aim of the estate agencies rent survey is to provide validated capital city rentals data sets. For this purpose, it is required to arrange visits to agencies in the capital city where the rent survey will be carried out. The results of the rent survey should be submitted to Eurostat or their contractor, after necessary checking and validation of calculations based on the observed data. Objective C: Capital goods price surveys The aim of the capital goods price surveys is to provide validated construction and equipment goods price data including necessary metadata for the construction and the equipment goods price surveys. Objective D: Hospital price surveys The aim of this objective is to collect and provide Eurostat with validated hospital price data including necessary metadata for the surveys. Objective E: Other PPP input data The aim of the objective is to provide Eurostat with data needed for the PPP calculations, i.e. on GDP expenditure weights, VAT, tips, actual and imputed rents, compensation of government employees for 2022-2021-2020 and CPIs for 2022. Objective F: PPP Inventory The PPP Regulation requires all Member States to maintain documentation, which gives a full description of the manner in which the Regulation has been implemented (the ""PPP Inventory"") Objective G.3: Translation of item lists for E23-1, E23-2 Translate the final item list in Spanish using the Item List Management Tool. The expected outcome of the action is the provision of high quality and comparable input data for the calculation and dissemination of Purchasing Power Parities."

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data