2016 Ken Pearson Scholarship Recipient

2016 Ken Pearson Scholarship Recipient 


In recognition of the many contributions made by the late Professor Ken Pearson to the Global Trade Analysis Project Network (GTAP, www.gtap.agecon.purdue.edu), the Centre of Policy Studies, Victoria University has graciously funded a scholarship in his name aimed to support the participation of promising young researchers at the GTAP Conference and encourage their contribution to the use and further development of analytical software for CGE modelling, following in his tradition. Recipient(s) were selected based on the following criteria:

  • an early career researcher within five years of the start of their research career;
  • active in undertaking applied model-based analyses of real world problems using GEMPACK or 
related software paper accepted into the GTAP Conference.

The Centre of Policy Studies, Victoria University and the Center for Global Trade Analysis, Purdue University are pleased to announce that, after careful consideration of all scholarship applications, the recipient of the 2016 Ken Pearson Scholarship is a IEFE’s junior research fellow, Martina Sartori, who presented paper is “Estimation of Climate Change Damage Functions for 140 Regions in the GTAP9 Database”, coauthored with Prof. Roberto Roson, senior research fellow at IEFE.

The paper estimates a number of climate change damage (or, more correctly, impact) functions relating variations in temperature (or other climate variables) to economic impacts in various dimensions, which are at the basis of quantitative modeling exercises for the assessment of climate change policies. All parameters of the damage functions are estimated for each of the 140 countries and regions covered by the GTAP9 dataset. To illustrate the salient characteristics of the estimates, the change in real GDP for the different effects has been approximated, in all regions, corresponding to an increase in average temperature of +3°C. After considering the overall impact, the most significant factor in each country is highlighted, and the distributional consequences of climate change are elaborated.
















Last updated 22 June 2016 - 12:02:38