bonndata catalog
Thumbnail for Paying Taxes, Ranking of Economy, 2017

Paying Taxes, Ranking of Economy, 2017

Open this dataset in the live repository

Important usage condition: Use and redistribution are governed by License not specified. Review and comply with the license before using the data.
Persistent identifier
doi:10.60507/FK2/UYPQKE
Published version
1.0
Publication date
2023-09-18
License
License not specified

Important: custom terms of use

<a href="http://www.worldbank.org/en/about/legal/terms-of-use-for-datasets">Terms of Use for Datasets (Worldbank)</a><br/>

Description

Economies are ranked on their ease of doing business, from 1–186. A high ease of doing business ranking means the regulatory environment is more conducive to the starting and operation of a local firm. The rankings are determined by sorting the aggregate distance to frontier scores on 10 topics, each consisting of several indicators, giving equal weight to each topic. The rankings for all economies are benchmarked to June 2017. Quality/Lineage: The data is downloaded from the above link http://www.doingbusiness.org/rankings and manipulated only table format keeping the value same for all the countries as the requirement of the Strive database. The map is created based on the values of the country using rworldmap package in R.

Creators

Keywords

paying taxes, ranking of economy, economy

Files

Before downloading: Use and redistribution are governed by License not specified. Review and comply with the license before using the data.
FileTypeBytesChecksum
metadata.xmltext/xml30056MD5 c184015f62ac539216a59625c2210397
Ranking_of_Economy___Paying_Taxes.csvtext/csv4819MD5 273bdb075c7d73ec75f291b780ab3a4e
Ranking_of_Economy___Paying_Taxes_.pdfapplication/pdf73102MD5 906e254dbf55977b985d1a4b0e0851e9
Ranking_of_Economy___Paying_Taxes_.jpgimage/jpeg61969MD5 bffd11e057c6aee2febf0fe3e6756f26
proj_strive.pngimage/png6049MD5 b4b7fa4038e9579f04ce2f8a0b7e2b7d
ReadMe_Variables.txttext/plain291MD5 58c724ddeefa9d963d6c32f66ae77ba5

Citation

Amit Kumar Basukala, 2023-09-18, Paying Taxes, Ranking of Economy, 2017, doi:10.60507/FK2/UYPQKE, V1.0

Additional Dataverse fields

Id55
Dataset Typedataset
Internal Version Number10
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2023-09-18T10:28:18Z
Create Time2023-09-18T08:52:26Z
Citation Date2023-09-18
File Access RequestTrue

Export metadata

Static metadata exports available for this published dataset version:

Complete Dataverse metadata

Citation Metadata

Title title
Paying Taxes, Ranking of Economy, 2017
Other Id otherId
  1. Other Id Agency
    ZEF Data Portal
    Other Id Value
    a5e2c1c7-bdad-4ced-9f5f-fe18de13eec2
Author author
  1. Author Name
    Amit Kumar Basukala
    Author Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
Dataset Contact datasetContact
  1. Dataset Contact Name
    Amit Kumar Basukala
    Dataset Contact Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
    Dataset Contact Email
    forschungsdaten@uni-bonn.de
  2. Dataset Contact Name
    Jan Börner
    Dataset Contact Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
    Dataset Contact Email
    jborner@uni-bonn.de
Ds Description dsDescription
  1. Ds Description Value
    Economies are ranked on their ease of doing business, from 1–186. A high ease of doing business ranking means the regulatory environment is more conducive to the starting and operation of a local firm. The rankings are determined by sorting the aggregate distance to frontier scores on 10 topics, each consisting of several indicators, giving equal weight to each topic. The rankings for all economies are benchmarked to June 2017. Quality/Lineage: The data is downloaded from the above link http://www.doingbusiness.org/rankings and manipulated only table format keeping the value same for all the countries as the requirement of the Strive database. The map is created based on the values of the country using rworldmap package in R.
Subject subject
  1. Other
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    economy
Free Keyword freeKeyword
  1. Free Keyword Value
    paying taxes
  2. Free Keyword Value
    ranking of economy
  3. Free Keyword Value
    economy
Topic Classification topicClassification
  1. Topic Class Value
    STRIVE
    Topic Class Vocab
    Research Project
  2. Topic Class Value
    taxation
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  3. Topic Class Value
    index
    Topic Class Vocab
    GEMET - Concepts, version 2.4
Notes Text notesText
This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={a5e2c1c7-bdad-4ced-9f5f-fe18de13eec2}.
Language language
  1. English
Time Period Covered timePeriodCovered
  1. Time Period Covered Start
    2017-01-01
    Time Period Covered End
    2017-12-31
Date Of Collection dateOfCollection
  1. Date Of Collection Start
    2017-12-22T04:00:00
    Date Of Collection End
    2017-12-22T04:00:00

Geospatial Metadata

Geographic Coverage geographicCoverage
  1. Other Geographic Coverage
    World
Geographic Bounding Box geographicBoundingBox
  1. West Longitude
    -138.51561887217792
    East Longitude
    139.2187560891668
    North Latitude
    74.24065136308329
    South Latitude
    -56.50132027168769

Expected crawler behaviour

Use a stable, truthful User-Agent with product/version and a working contact URL. Across all IP addresses and HTTP connections used by one crawler identity, allow no more than 5 requests in flight and wait at least 20 seconds between request starts. Crawl URLs listed in the catalog sitemap, including file pages and download URLs when they are published, use conditional requests, honor Retry-After, and apply exponential backoff after errors.

The welcome page may link to the interactive repository for human navigation. Automated clients must not treat that human link as a catalog crawl target.

Read the live machine-readable crawler policy before and during a crawl. Stop crawling when it reports CPU or memory utilization at or above 80% and 80% respectively.