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Institutional Quality, Income per Capita Growth and Resource Endowments for 87 Developing Countries, 1991-2010

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Persistent identifier
doi:10.60507/FK2/2OI6DG
Published version
1.0
Publication date
2023-09-18
License
License not specified

Important: custom terms of use

<a href="https://opendatacommons.org/licenses/by/1-0/">Open Data Commons Attribution License (ODC-By) v1.0</a><br/>

Description

The basic econometric model for the suggested interaction effect of resource endowments and institutional quality on economic growth is borrowed from Boschini et al., 2007 and Brunnschweiler, 2007. The approximation for institutional quality must be carefully chosen. The standard proxy variables that are typically employed in the literature with respect to the resource curse are indices such as ICRG, BERI, BI ratings (pioneered by Knack and Keefer, 1995; Mauro, 1995), and the Worldwide Governance Indicators (WGI) suggested by Kaufmann et al. (2010). However, a potential bias in these indicators may arise from the fact that they are based on the subjective assessments of respondents. For instance, the evaluators may be more likely report that governance in a country is good during times of strong economic performance. The use of CIM also has potential risks if the measure is idiosyncratic and irrelevant to contract enforcement and property rights. Clague et al. (1999) reviewed case studies from several countries and found that CIM is a good measure of institutional quality, though some country examples demonstrate idiosyncratic cases. We also use the indicators of governance used by Kaufmann et al. (2010) such as Voice and Accountability (VA), Political Stability and the Absence of Violence (PA), Government Effectiveness (GE), Regulatory Quality (RQ), Rule of Law (RL), and Control of Corruption (CC)—with CIM, was illustrated to examine the suitability of CIM as an institutional quality variable. Purpose: The data obtained is employed for investigation of dissertation. My main objective in this analysis was to assess the impact of resource rent shares of income per capita through various resource curse channels. I hypothesized that natural resource abundance only encourages economic development in countries with high quality economic institutions.

Creators

Keywords

economy

Files

Before downloading: Use and redistribution are governed by License not specified. Review and comply with the license before using the data.
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metadata.xmltext/xml26647MD5 689d0ee178fc34a62ba9445df78c4814
SRK_econ_inst-quality-economic-dev_Kazakhstan_2000-2010.csvtext/csv18650MD5 be66c1ec8685e11386782ae047566c00
WB_econ_inst-quality-economic-dev_CIS_1991-2010.xlsxapplication/vnd.openxmlformats-officedocument.spreadsheetml.sheet62219MD5 dc025e919c50ff832e916c9b654c8008
WB_econ_institutional-quality-economic-growth_developing-countries_1991-2010.csvtext/csv27850MD5 e337bdcebd996754824a7d773f601bc4
statistic-2.PNGimage/png7086MD5 5414abd839cc504aac2dbdc5aeec35d0
ReadMe_Variables.txttext/plain876MD5 94a9b2b3b4b5ef7f919c033a5d523e9d

Citation

Yessengali Oskenbayev, 2023-09-18, Institutional Quality, Income per Capita Growth and Resource Endowments for 87 Developing Countries, 1991-2010, doi:10.60507/FK2/2OI6DG, V1.0

Additional Dataverse fields

Id153
Dataset Typedataset
Internal Version Number9
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2023-09-18T09:44:40Z
Create Time2023-09-18T09:05:04Z
Citation Date2023-09-18
File Access RequestTrue

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Complete Dataverse metadata

Citation Metadata

Title title
Institutional Quality, Income per Capita Growth and Resource Endowments for 87 Developing Countries, 1991-2010
Other Id otherId
  1. Other Id Agency
    ZEF Data Portal
    Other Id Value
    24e19bd3-b532-40f1-94fe-e3577fa36c78
Author author
  1. Author Name
    Yessengali Oskenbayev
    Author Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
Dataset Contact datasetContact
  1. Dataset Contact Name
    Yessengali Oskenbayev
    Dataset Contact Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
    Dataset Contact Email
    oskenbay@gmail.com
Ds Description dsDescription
  1. Ds Description Value
    The basic econometric model for the suggested interaction effect of resource endowments and institutional quality on economic growth is borrowed from Boschini et al., 2007 and Brunnschweiler, 2007. The approximation for institutional quality must be carefully chosen. The standard proxy variables that are typically employed in the literature with respect to the resource curse are indices such as ICRG, BERI, BI ratings (pioneered by Knack and Keefer, 1995; Mauro, 1995), and the Worldwide Governance Indicators (WGI) suggested by Kaufmann et al. (2010). However, a potential bias in these indicators may arise from the fact that they are based on the subjective assessments of respondents. For instance, the evaluators may be more likely report that governance in a country is good during times of strong economic performance. The use of CIM also has potential risks if the measure is idiosyncratic and irrelevant to contract enforcement and property rights. Clague et al. (1999) reviewed case studies from several countries and found that CIM is a good measure of institutional quality, though some country examples demonstrate idiosyncratic cases. We also use the indicators of governance used by Kaufmann et al. (2010) such as Voice and Accountability (VA), Political Stability and the Absence of Violence (PA), Government Effectiveness (GE), Regulatory Quality (RQ), Rule of Law (RL), and Control of Corruption (CC)—with CIM, was illustrated to examine the suitability of CIM as an institutional quality variable. Purpose: The data obtained is employed for investigation of dissertation. My main objective in this analysis was to assess the impact of resource rent shares of income per capita through various resource curse channels. I hypothesized that natural resource abundance only encourages economic development in countries with high quality economic institutions.
Subject subject
  1. Other
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    economy
Free Keyword freeKeyword
  1. Free Keyword Value
    economy
Topic Classification topicClassification
  1. Topic Class Value
    developed country
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  2. Topic Class Value
    natural resource
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  3. Topic Class Value
    institutional structure
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  4. Topic Class Value
    resources management
    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={24e19bd3-b532-40f1-94fe-e3577fa36c78}.
Language language
  1. English
Time Period Covered timePeriodCovered
  1. Time Period Covered Start
    1991-01-01
    Time Period Covered End
    2010-12-31
Date Of Collection dateOfCollection
  1. Date Of Collection Start
    1991
    Date Of Collection End
    1991
  2. Date Of Collection Start
    2010
    Date Of Collection End
    2010

Geospatial Metadata

Geographic Bounding Box geographicBoundingBox
  1. West Longitude
    -137.4609344265939
    East Longitude
    136.75781553523683
    North Latitude
    56.0916472979066
    South Latitude
    -55.85558898848428

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