140 likes | 246 Views
Transnational Wildlife Crime Policy: research findings and experiences Dr Dylan Horne ANU TEC Project Visiting Fellow (August–November 2012) (Former) Senior Compliance Officer, Department of the Environment. Brief summary of research – policy, optimal policy, and preliminary gap analysis
E N D
Transnational Wildlife Crime Policy: research findings and experiences Dr Dylan Horne ANU TEC Project Visiting Fellow (August–November 2012) (Former) Senior Compliance Officer, Department of the Environment
Brief summary of research – policy, optimal policy, and preliminary gap analysis • So what: Recommendations and relevance • Reflections on the experience Overview
1. The research: Aim and rationale Aim: To conduct a preliminary analysis of policy responses to transnational wildlife crime in the Asia-Pacific region with a focus on national and agency-level policy in six case study countries Australia, Fiji, New Zealand, Papua New Guinea, Thailand and Viet Nam Why? First, knowledge of policy context is poor. Second, to complement Pink (2013).
1. The research: Policy Policy = “plans, programs, regulatory schemes, strategies, agreements etc. that provide for a coordinated, cohesive response to wildlife crime” GLOBAL - CITES - Other conventions (e.g. UNCTOC, UNCAC) REGIONAL - SE ASIA (ASEAN-WEN) - PACIFIC (PIF, PTCN) NATIONAL/AGENCY – Focus of this research
1. The research: Policy • National/agency level policy responses? • They vary across 6 countries depending on the nature of the problem in that country... • ...there are similarities and differences • CITES-laws: compliance and enforcement • MoUs between agencies/countries • Awareness-raising • Capacity-building • Participation in, and establishment of, networks • Participating in regional programs • Implementing obligations under other MAs
1. The research: Optimal policy • Identifying an ‘optimal’ policy response would give a basis for evaluation... Sources?
1. The research: Optimal policy • Identifying an ‘optimal’ policy response would give a basis for evaluation... Sources? • An optimal response must be: • 1. Proactive and intelligence-based • 2. Multifaceted addressing many aspects of the problem • 3. Multilateral involving cooperation between several actors • 4. Monitored, evaluated and adapted as necessary
1. The research: Prelim gap analysis • To what extent does national/agency-level policy meet the four requirements of an optimal policy response? • 1. Proactive and intelligence-based? • 2. Multifaceted addressing many aspects of the problem? • 3. Multilateral involving cooperation between several actors? • 4. Monitored, evaluated and adapted as necessary?
2. So what – recommendations and relevance Recommendations (for governments/agencies)... • The 4 requirements of optimal policy can be a lens for improvement • Measures can be implemented to improve how each is fulfilled
2. So what – recommendations and relevance Recommendations (for governments/agencies)... • The 4 requirements of optimal policy can be a lens for improvement • Measures can be implemented to improve how each is fulfilled Relevance (to practitioners)... Some interesting observations/perspectives... • Policy doesn’t have to cause the doing, it coordinates it • Policy can exist at all levels: Global section/officer • The 4 requirements of optimal policy response can offer opportunities to identify improvements at all levels
3. Reflections on the experience What would I have done differently? In hindsight, a few things...
3. Reflections on the experience What would I have done differently? In hindsight, a few things... What did/will the department get out of this exercise? Dr Marshall’s presentation...
3. Reflections on the experience What would I have done differently? In hindsight, a few things... What did/will the department get out of this exercise? Dr Marshall’s presentation... What were the main things I got out of this exercise? (1) Better understanding of the context of operational work, and particularly exposure to the policy/science interface (2) Identifying opportunities for improvement can be like trying to see the forest through the trees