GLASSNET’s impact on key stakeholders will make a difference in achieving the SDGs. Our network has the potential to provide decision makers from a wide-array of areas with the data needed to properly assess actions that will affect the environment, the economy and local communities.Learn more about GLASSNET
Dr. Erwin Corong
Erwin is a principal research economist at the Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University. He manages the construction programs for a number of GTAP databases including standard GTAP, MRIO (Multi-Region Input Output), labor, domestic margins, and contributes to the construction of the land use and land cover data. Since joining GTAP in 2015, Erwin refreshed the standard GTAP model code and converted other GTAP suite of (GTAP-E, Power, AEZ, GMig) models to the current version 7 structure. During the last five years, he developed the GTAP-MRIO, GTAP-DM (Domestic Margins), GTAP-DS (Domestic Support) and the GTAP-RD (recursive dynamic) suite of economic models. He also co-developed models such as GTAP-HS (Harmonized System), standard GTAP-RD and the World Trade Organization’ Global Trade Model. Erwin is currently working on the GTAP Integrated Assessment Model (IAM) for climate policy analyses. His research focuses on agricultural domestic support, international trade, non-tariff measures, domestic trade and transport margins, dynamic baselines and validation, economy-energy-environment interaction, poverty, inequality, and linking GTAP-RD with the InVEST model to analyze sustainable development issues.
Sustainable development requires jointly achieving economic development to raise standards of living and environmental sustainability to secure these gains for the long run. Here, we develop a local-to-global, and global-to-local, earth-economy model that integrates the Global Trade Analysis Project (GTAP)-computable general equilibrium model of the economy with the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model of fine-scale, spatially explicit ecosystem services. The integrated model, GTAP–InVEST, jointly determines land use, environmental conditions, ecosystem services, market prices, supply and demand across economic sectors, trade across regions, and aggregate performance metrics like GDP. We use the integrated model to analyze the contribution of investing in nature for economic prosperity, accounting for the impact of four important ecosystem services (pollination, timber provision, marine fisheries, and carbon sequestration). We show that investments in nature result in large improvements relative to a business-as-usual path, accruing annual gains of $100 to $350 billion (2014 USD) with the largest percentage gains in the lowest-income countries. Our estimates include only a small subset of ecosystem services and could be far higher with inclusion of more ecosystem services, incorporation of ecological tipping points, and reduction in substitutability that limits economic adjustments to declines in natural capital. Our analysis highlights the need for improved environmental–economic modeling and the vital importance of integrating environmental information firmly into economic analysis and policy. The benefits of doing so are potentially very large, with the greatest percentage benefits accruing to inhabitants of the poorest countries.
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Featured Data and Tools
The AgMIP Global Economics Team is an international network of researchers whose main objective is to undertake multi-model comparisons of critical issues affecting global agriculture—such as rising temperatures. The models vary greatly in their design, though all are able to produce a common set of indicators such as agricultural production, trade and prices. One challenge has been to pool the results using a standardized interface and to provide access to the ensemble of model results. Thus, new web-based tools have been developed, in collaboration with Purdue’s Research Computing. These tools have several useful features: a) a standardized interface for uploading model submissions with built-in diagnostic checking; b) ability to query the resulting database of merged results with download capability; and c) visualization of select results. The tools could potentially be used for similar multi-model exercises.Check out all modeling tools and data