The carbon curse is a new economic hypothesis, stemming from the natural resource curse, that establishes that the countries with the highest amount of fossil fuels - petroleum, coal, natural gas and liquefied gas - tend to emit, in the medium term, a greater amount of carbon dioxide (CO2) per each unit of its gross domestic product (GDP); that is, to maintain its productive activities, the country emits much more carbon into the atmosphere per productive unit than other countries.
But the exact reasons of how the oil wealth of a country could lead to excessive production of greenhouse gases per unit of product are not easy to determine. The challenge facing Katya Pérez at this moment is to find a way to quantify in a global and comparative way how much a country depends on the extraction and export of fossil fuels, so that she can then investigate how this measure is related to its carbon intensity. In other words, according to the Fifth Assessment of the IPCC Working Group III on drivers for climate change, it is necessary to systematically study the indirect drivers related to fossil fuel abundance and management.
The way Dr. Perez-Guzman plans to do it is through the network analysis of input-output economic models, which will allow her to know the origin and destination of the economic transactions of each productive sector, parallel to the respective transactions of certain natural resources, such as minerals or CO2. A possible first result will be to analyze how the amounts of emissions of the different industries of a country change when the monetary gains obtained from fossil fuel exports change, and compare this relationship with that which exists in countries without energy resource. Katya has already advanced a basic network structure that ranks countries based on their level of extractive intensity, standardized in a comparative manner. The next step is to use different network centralities to analyze changes in the network structure, such as random walk centrality, both for economic flows in monetary units and in the environmental satellite accounts. For this, she would like to also explore other methodologies, such as multiplex network analysis or system dynamic methodologies.
 Friedrichs, J., & Inderwildi, O. R. (2013). The carbon curse: Are fuel rich countries doomed to high CO 2 intensities?. Energy Policy, 62, 1356-1365.
 Blanco, G., Gerlagh, R., Suh, S., Barrett, J., de Coninck, H. C., Morejon, C. D. & Pathak, H. (2014). Drivers, trends and mitigation. Fifth Assessment Report, Working Group III, IPCC
Funding: The Mexican National Council for Science and Technology (CONACYT)
Program: Advanced Systems Analysis Program
Dates: April 2017 - present
Last edited: 08 February 2018
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