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Winners of the 2018 CAES Publication of Enduring Quality Award: Atakelty Hailu (UWA) and Terrence S. Veeman (UAlberta)
Atakelty Hailu (UWA) and Terrence S. Veeman (U of Alberta) have become the 2018 winners of the prestigious Enduring Quality Award by the Canadian Agricultural Economics Society (CAES). The award is given for published work that has been in circulation for over a decade and has had profound impact in agricultural and resource economics. Their paper on "Non-parametric productivity analysis with undesirable outputs: An application to the Canadian pulp and paper industry," published in the American Journal of Agricultural Economics in 2001, makes both methodological and empirical contributions to the relatively new field of environmentally adjusted productivity analysis.  It continues to attract a high number of citations .
Abstract of paper:
This article extends the Chavas-Cox approach to non-parametric analysis by incorporating undesirable outputs to provide a more complete representation of the production technology. Inner and outer non-parametric technology bounds are constructed. The methods are illustrated with application to time series data for the Canadian pulp and paper industry. Conventional measures that ignore changes in pollutant outputs underestimate true productivity growth. Further, there is a large gap between estimates generated with reference to inner and outer bounds to the technology, suggesting that researchers need to be aware of the limitations of results derived from analyses relying only on DEA methods.
DOI: 10.1111/0002-9092.00181
 
Thomson Reuters highly cited paper:
One of our recent papers (see below) becomes a Thomson Reuters highly cited paper.  Highly Cited Papers are identified across 22 broad fields of research and reflect the most cited papers within those fields over the past decade. The paper combines an agent-based model of fishing site choice with a trophic dynamic model of a coral reef system. The agent-based model is structured using an econometrically estimated Random Utility Model (RUM).  Multiple and conflicting (economic as well as ecological) outcomes are ranked through an AHP-Fuzzy evaluation approach. The study provides an excellent example of how different modeling systems (and traditions) could be pulled together to help resource managers rank conflicting strategies in ways that take stakeholder preferences into account.
Publication details: 
Gao, L. and A. Hailu. 2012. "Ranking Management Strategies With Complex Outcomes: Application Of AHP-Fuzzy Evaluation Approach To Recreational Fishing Results Simulated Using An Integrated Agent-Based Model Of A Coral Reef Ecosystem", Environmental Modelling and Software, 31: 3–18.
Google Scholar Link: click here