Replying to email from GFN about satellite variables
how you will be able to extract information about the b and c in the various sections - what exactly you would test.
Structure: Compare trends in structure of consumption 1) EF w/ standard methodology (1961-2008), 2) EF w. MRIO or bilateral trade information (1961-2008) and 3) Eora (1971-2010 and 1992-2008)
- b/c. Assess ecological, demographic, cultural, political and economic factors associated with subsidization/self-supply.
- Ecological
- variable: potential cropland area, mineral and metal reservoir sizes
- hypothesis: resource curse (resource stocks may not lead to self-supply e.g. in the face of violent, political and economic conflict prevent self-supply )
- Demographic
- variable: Total, chlild and old-age dependency ratio
- hypothesis: relative workforce size enables self-supply
- Cultural
- variable: TBD - surveys on consumption
- hypothesis: are cultures that value self-supply, more self-reliant on resources (or do global supply chains deceive)?
- Political
- variable: political system type, worldbank worlwide governance indicators (six variables - Control of corruption, Government effectiveness, Political stability and absence of violence, Regulatory quality, Rule of law, Voice and Accountability).
- hypothesis: do closed economies emphasize self-supply, resource curse (peaceful and non-corrupt political systems enable self-supply)
- Economic
- variable: value added by sector (UN national accounts table 2.2)
- hypothesis: growing service sector causes resource subsidization.
- Ecological
- b/c. Assess ecological, demographic, cultural, political and economic factors associated with subsidization/self-supply.
Extraction and consumption intensities Temporal changes in within country environmental extraction intensity and social and economic consumption intensities. The cross-comparison of trends across social, economic and environmental satellite variables is an uncharted research queston.
- Social and economic intensity
- variables: GDP, income and life expetancy. Further social and health variables TBD.
- country level
- GDP
- mean life expectancy
- central moment of individual distribution
- median income
- median life-expectancy
- variation and skewness in individual distribution
- varance and skewness in income distribution, including GINI coefficient
- life expectancy of e.g. 10 % quantile versus 90 % quantile
- country level
- Extraction and consumption intensities Temporal changes in within country environmental extraction intensity and social and economic consumption intensities. The cross-comparison of trends across social, economic and environmental satellite variables is an uncharted research queston.
- Environmental intensity of extraction
Not sure if our accounts, and the others, will offer a lot of resolution.
You mean that there are too many factors influencing the amount of resources extracted (?), or some other issue relating to the way extraction is estimated in the accounts?
National footprint accounts data for:
- Structure: Level 2 and 3 worksheets in order to distinguish between extraction and imports (as far as I can assess from reading Lazarus et al. 2014)
- Intensities: Level 2 and 3 worksheets in order to distinguish between extraction and imports (as far as I can assess from reading Lazarus et al. 2014)
Lazarus, Elias, Golnar Zokai, Michael Borucke, Dharashree Panda, Katsunori Iha, Juan Carlos Morales, Mathis Wackernagel, Alessandro Galli, and Naina Gupta. 2014. “Working Guidebook to the National Footprint Accounts: 2014 Edition.” Oakland, California: Global Footprint Network.