the natural resource curse methods ii data presentation september 21, 2007 tom dugan
TRANSCRIPT
The Natural Resource Curse
Methods IIData Presentation
September 21, 2007Tom Dugan
Research Question Problem
Developing countries that are rich in point source natural resources (diamonds, oil, etc.) exhibit a tendency to grow slowly
General Question What about these types of natural resources hinders
developing countries from achieving sustainable development
Specific Question How have certain countries (Botswana, Norway, etc.)
been able to escape the Natural Resource Curse
Hypothesis The abundance of point source natural
resources in developing countries has a negative effect on their growth rates
Levels of taxation, general savings rates, investment in human capital, and institutional capacity are the intermediary links
The Natural Resource Curse – Importance
Wealth without development
The Natural Resource Curse – Importance *Inequality
The Natural Resource Curse – Importance *Conflict
The Natural Resource Curse – Importance *Source
The Natural Resource Curse – Importance
A relevant and counterintuitive issue The abundance of point source natural resources
should not hinder a country’s ability to achieve sustainable development
Disparities and inequalities across nations is an important issue
To better understand the intermediary links between natural resources and growth in developing countries
The Natural Resource Curse – Importance Natural Resources ceteris paribus cannot
be disadvantageous There exist intermediary links through
which an abundance of natural resources has a negative effect on growth
Previous Theory Resource rich developing countries exhibit a
tendency to grow more slowly Sources (independent variables)
Resource abundance [-] Institutional Capacity – corruption [-] Taxation – incentives for people to organize and develop
society [+] General Savings – foresight of government to set aside
resource wealth [+] *Political Business Cycles – pressure of rulers to spend
resource wealth if it will help them stay in office [-]
Method Regression Equation
Economic Growth = B0 – B1[Natural Resource Abundance] – B2
[Corruption] + B3[General Savings] + B4[Taxation] – B5[PBC] +B6[Infrastructure and Human Capital Investment] + E
Data 1 Worldwide Governance Indicators, Civil War, & Transparency International
Based on a long-standing research program of the World Bank, the Kaufmann-Kraay-Mastruzzi Worldwide Governance Indicators capture six key dimensions of governance (Voice & Accountability, Political Stability and Lack of Violence, Government Effectiveness, Regulatory Quality, Rule of Law, and Control of Corruption) between 1996 and present. Sometimes referred to as the "KK", "KKZ" or "KKM" indicators, they measure the quality of governance in well over 200 countries, based on close to 40 data sources produced by over 30 different organizations worldwide and are updated on an annual basis since 2002.
Sources http://info.worldbank.org/governance/wgi2007/pdf/c196.pdf http://www.transparency.org/ International Country Risk Guide (ICRG) – sold data
Data 2 Economic Growth
http://pwt.econ.upenn.edu/ (Penn World Tables) http://www.ggdc.net/index-dseries.html (Groningen Growth & Development Center) Maddison Tables http://www.imf.org/external/data.htm (International Monetary Fund) World Bank’s World Development Indicators
General Savings & Gross Investment World Bank’s World Development Indicators
Resource Abundance http://www.eia.doe.gov/emeu/cabs/index.html (Energy Information Administration) World Bank’s World Development Indicators http://www.iea.org/Textbase/stats/index.asp (International Energy Agency) http://unstats.un.org/unsd/energy/default.htm (United Nations Energy Statistics Yearbook – purchase)
Taxation IMF’s Government Finance Statistics Yearbook World Bank’s World Development Report http://www.oecd.org/document/62/0,3343,en_2825_293564_2345918_1_1_1_1,00.html
Political Business Cycles Multiparty Competition, Founding Elections and Political Business Cycles in Africa
Data 3
Time span 1970 – present
Observations All relevant developing countries at start of the
1970s Focus on worst and best performers