@Article{LazaroGiaBerGiaOme:2021:PrQuAn,
               author = "Lazaro, Lira Luz Benites and Giatti, Leandro Luiz and Bermann, 
                         Celio and Giarolla, Ang{\'e}lica and Ometto, Jean Pierre Henry 
                         Balbaud",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and {Universidade de S{\~a}o Paulo (USP)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Policy and governance dynamics in the water-energy-food-land nexus 
                         of biofuels: Proposing a qualitative analysis model",
              journal = "Renewable and Sustainable Energy Reviews",
                 year = "2021",
               volume = "149",
                pages = "e111384",
                month = "Oct.",
             keywords = "Biofuels, Governance, Innovation, Nexus method, Nexus methodology, 
                         Nexus thinking, Policy, Water–energy–food nexus.",
             abstract = "The production of biofuels is inextricably linked with the 
                         water-energy-food-land (WEFL) nexus. Understanding these linkages 
                         is necessary to formulate effective policies that can influence 
                         positive outcomes and contribute to the realization of long-term 
                         economic, environmental, and social goals. The use of biofuels can 
                         help achieve the United Nation's Sustainable Development Goals 
                         (SDGs) and implement the Paris Agreement on climate change. 
                         However, the biofuels sector must account for its 
                         interdependencies and trade-offs with other sectors. In this 
                         study, we formulate a qualitative analytical model that goes 
                         beyond the three water-energy-food nexus components by 
                         incorporating other elements, such as policy, innovation, 
                         governance, and labor to examine their effect as influencing 
                         factors and to understand how synergies, trade-offs, and 
                         long-overlooked interlinkages between sectors and among existing 
                         policies and institutions can become visible. This qualitative 
                         model was applied to the case of ethanol in Brazil, for which a 
                         large corpus was constructed from the scientific literature, 
                         documents and sustainability reports from sugarcane ethanol 
                         companies. We used a supervised latent Dirichlet allocation (sLDA) 
                         algorithm along with co-occurrence and network analyses. The 
                         results demonstrate this approach can be used to evaluate the 
                         interfaces between science, policy, and businesses within the 
                         WEFL-biofuels nexus. This is done by identifying how best to 
                         integrate the development of policies, governance, and stakeholder 
                         actions to support cost-effective decisions for optimal resource 
                         management and regulatory processes while enabling better 
                         integration of scientific insight and policy-making. We also 
                         identified how these four influencing factors are of vital 
                         importance within the nexus and, if properly addressed, can 
                         contribute to more holistic nexus thinking management.",
                  doi = "10.1016/j.rser.2021.111384",
                  url = "http://dx.doi.org/10.1016/j.rser.2021.111384",
                 issn = "1364-0321",
             language = "en",
           targetfile = "lazaro_policy_2021.pdf",
        urlaccessdate = "12 maio 2024"
}