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Regulatory System Impacts on Global GM Crop Adoption Patterns Savannah Gleim 1, Stuart Smyth 1, and Peter Phillips 2 1 Department of Bioresource Policy,

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Presentation on theme: "Regulatory System Impacts on Global GM Crop Adoption Patterns Savannah Gleim 1, Stuart Smyth 1, and Peter Phillips 2 1 Department of Bioresource Policy,"— Presentation transcript:

1 Regulatory System Impacts on Global GM Crop Adoption Patterns Savannah Gleim 1, Stuart Smyth 1, and Peter Phillips 2 1 Department of Bioresource Policy, Business and Economics, University of Saskatchewan, Canada 2 Johnson-Shoyama School of Public Policy, University of Saskatchewan, Canada Paper prepared for presentation at the 19 th ICABR Conference “I MPACTS OF THE B IOECONOMY ON A GRICULTURAL S USTAINABILITY, THE E NVIRONMENT AND H UMAN H EALTH ” June 17, 2015

2 Agenda Problem & Objective Data Results Analysis & Conclusion Gleim, Smyth & Phillips 20152

3 Objective Examine the global regulatory approval patterns to determine trends of GM crop commodities and traits. Gleim, Smyth & Phillips 20153

4 Methodolgy International Service for the Acquistition of Agri-biotech Applications (ISAAA) GMO database GMO prevalent crops: maize/corn, soybeans, canola, and cotton Compare corn approvals by type of approval, events, countries, and traits Gleim, Smyth & Phillips 20154

5 Data Gleim, Smyth & Phillips 20155 Crop Number of events approved Events approved for FoodFeedCultivation Canola32 3022 Cotton54444245 Corn13813312390 Soybean30282628 TOTAL254237221185 Table 1: Approval of GM Events, 1995-2014 Source: ISAAA 2015

6 Figure 1: Aggregated GM corn approvals, year & type Source: ISAAA 2015 Gleim, Smyth & Phillips 20156 35 Results

7 Figure 2: Yearly approvals for all corn events Source: ISAAA 2015 Gleim, Smyth & Phillips 20157 Phase 1 Phase 2 Phase 3

8 Figure 3: Corn event approvals by year Source: ISAAA 2015 Gleim, Smyth & Phillips 20158

9 Saturation or New Innovation ? Commercial GM traits Approving nations Leaders and followers Gleim, Smyth & Phillips 20159

10 Figure 4: Single and stacked GM corn trait approvals Source: ISAAA 2015 Gleim, Smyth & Phillips 201510

11 Figure 5: Stacked GM corn trait approval Source: ISAAA 2015 Gleim, Smyth & Phillips 201511

12 Figure 6: Country approval from 1995-2004 Source: ISAAA 2015 Gleim, Smyth & Phillips 201512

13 Figure 7: Country approval from 2005-2014 Source: ISAAA 2015 Gleim, Smyth & Phillips 201513

14 Figure 8: Country approval from 1995-2014 Source: ISAAA 2015 Gleim, Smyth & Phillips 201514

15 Figure 9: Country approval by event Source: ISAAA 2015 Gleim, Smyth & Phillips 201515

16 Figure 10: Diffusion of regulatory knowledge for GM corn varieties Source: ISAAA 2015 Gleim, Smyth & Phillips 201516

17 Figure 11: Diffusion of regulatory knowledge for GM corn varieties Source: ISAAA 2015 Gleim, Smyth & Phillips 201517

18 Analysis Disconnect between trade approvals Strong HTIR approvals Technology diffusion outpaces science- based risk assessment National approval constraint: sharing problem or regulatory competition Gleim, Smyth & Phillips 201518

19 Conclusion No clear corn trends Inefficient GM event regulations Delaying benefit gains Klümper and Qaim’s (2014) meta-analysis of GM crops quantified a 22% yield increase for GM adopters Current regulation augments food insecurity Gleim, Smyth & Phillips 201519

20 Thank you! Savannah Gleim, M.Sc. -Research Assistant Department of Bioresource Policy, Business & Economics, College of Agriculture and Bioresources, University of Saskatchewan Phone 00-1-306-966-4043 E-mail savannah.gleim@gmail.com Internet www.saifood.casavannah.gleim@gmail.comwww.saifood.ca Twitter @SavannahGleim Gleim, Smyth & Phillips 201520

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