Ana Serrano

Ana Serrano holds a PhD in Economics, is an associate professor (tenured) at the University of Zaragoza and a member of the Agri-Food Institute of Aragon (IA2). She teaches macroeconomics. Her research focuses on the study of the interaction between the economy and the environment, mainly on the impacts on water resources. She is also interested in the evaluation of the social and economic effects of growth processes from a macroeconomic perspective. Her work has a long-term perspective and makes use of input-output modelling, econometric analysis and decomposition techniques. She has been principal investigator of projects funded by the Ramón Areces Foundation and the University of Girona. She is also an active participant in numerous competitive research projects with an economic, environmental and social focus. She has approximately 27 publications in high impact international journals, as well as book chapters. They are available at the following link.

Publications (selection)

  • R. Duarte,  A. Serrano (2021) “Environmental analysis of structural and technological change in a context of trade expansion: Lessons from the EU enlargement”, Energy Policy 150, 112142, DOI: 10.1016/j.enpol.2021.112142 .
  • R. Duarte, V. Pinilla, A. Serrano (2019) “Long term drivers of global virtual water trade: A trade gravity approach for 1965–2010”, Ecological Economics 156, 318-326, DOI: 10.1016/j.ecolecon.2018.10.012.
  • I. Cazcarro, M. Martín-Retortillo, A. Serrano (2019) “Reallocating regional water apparent productivity in the long term: methodological contributions and application for Spain”, Regional Environmental Change 19, 1455–1468, DOI: 10.1007/s10113-019-01485-9.
  • R. Duarte, V. Pinilla, A. Serrano (2018) “Factors driving embodied carbon in international trade: a multiregional input–output gravity model”, Economic Systems Research 30:4, 545-566, DOI: 10.1080/09535314.2018.1450226
  • R. Duarte, V. Pinilla, A. Serrano (2013) “Is there an environmental Kuznets curve for water use? A panel smooth transition regression approach”, Economic Modelling 13, 518-527, DOI: 10.1016/j.econmod.2012.12.010.