Moura P.T.,Institute for International Trade Negotiations ICONE |
Chaddad F.R.,University of Missouri
Journal on Chain and Network Science | Year: 2012
Sustainability is an interesting case of a 'wicked problem' that requires multiple stakeholder engagement to be managed. Multistakeholder initiatives (MSIs) have emerged as an alternative governance mechanism to address this problem. This paper addresses the issue of overcoming collective action hurdles and governance design in MSIs. We focus our analysis on Bonsucro, an MSI that recently developed a standard and certification scheme for sustainable sugarcane products. We describe the internal organization and governance of Bonsucro and the process it followed to develop and implement the scheme. We then apply collective action and governance theories to analyze Bonsucro's case and make observations as to how MSIs and alternative governance structures might be organized to address sustainability in global agrifood chains.
Nassar A.M.,Institute for International Trade Negotiations ICONE |
Harfuch L.,Institute for International Trade Negotiations ICONE |
Bachion L.C.,Institute for International Trade Negotiations ICONE |
Moreira M.R.,Institute for International Trade Negotiations ICONE
Interface Focus | Year: 2011
The use of agricultural-based biofuels has expanded. Discussions on how to assess green house gas (GHG) emissions from biofuel policies, specifically on (non-observed) land-use change (LUC) effects involve two main topics: (i) the limitations on the existing methodologies, and (ii) how to isolate the effects of biofuels. This paper discusses the main methodologies currently used by policy-makers to take decisions on how to quantify LUCs owing to biofuel production expansion. It is our opinion that the concerns regarding GHG emissions associated with LUCs should focus on the agricultural sector as a whole rather than concentrating on biofuel production. Actually, there are several limitations of economic models and deterministic methodologies for simulating and explaining LUCs resulting from the expansion of the agricultural sector. However, it is equally true that there are avenues of possibilities to improve models and make them more accurate and precise in order to be used for policy-making. Models available need several improvements to reach perfection. Any top model requires a concentration of interdisciplinary designers in order to replicate empirical evidence and capture correctly the agricultural sector dynamics for different countries and regions. Forgetting those limitations means that models will be used for the wrong purposes. © 2011 The Royal Society.