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Network Economics and the Environment: Insights and Perspectives

Author

Listed:
  • Sergio Currarini

    (University of Leicester and Universita’ Ca’ Foscari di Venezia)

  • Carmen Marchiori

    (London School of Economics and Political Science)

  • Alessandro Tavoni

    (London School of Economics and Political Science)

Abstract

Local interactions and network structures appear to be a prominent feature of many environmental problems. This paper discusses a wide range of issues and potential areas of application, including the role of relational networks in the pattern of adoption of green technologies, common pool resource problems characterized by a multiplicity of sources, the role of social networks in multi-level environmental governance, infrastructural networks in the access to and use of natural resources such as oil and natural gas, the use of networks to describe the internal structure of inter-country relations in international agreements, and the formation of bilateral “links” in the process of building up an environmental coalition. For each of these areas, we examine why and how network economics would be an effective conceptual and analytical tool, and discuss the main insights that we can foresee.

Suggested Citation

  • Sergio Currarini & Carmen Marchiori & Alessandro Tavoni, 2016. "Network Economics and the Environment: Insights and Perspectives," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(1), pages 159-189, September.
  • Handle: RePEc:kap:enreec:v:65:y:2016:i:1:d:10.1007_s10640-015-9953-6
    DOI: 10.1007/s10640-015-9953-6
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    2. Giorgio Fabbri & Silvia Faggian & Giuseppe Freni, 2022. "On competition for spatially distributed resources in networks: an extended version," Working Papers 2022:03, Department of Economics, University of Venice "Ca' Foscari".
    3. Jewell, Jessica & Vetier, Marta & Garcia-Cabrera, Daniel, 2019. "The international technological nuclear cooperation landscape: A new dataset and network analysis," Energy Policy, Elsevier, vol. 128(C), pages 838-852.
    4. Efthymia Kyriakopoulou & Anastasios Xepapadeas, 2021. "Natural Resource Management: A Network Perspective," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(2), pages 221-256, October.
    5. Fabbri, Giorgio & Faggian, Silvia & Freni, Giuseppe, 2024. "On competition for spatially distributed resources in networks," Theoretical Economics, Econometric Society, vol. 19(2), May.
    6. Müller-Hansen, Finn & Heitzig, Jobst & Donges, Jonathan & Cardoso, Manoel F. & Dalla-Nora, Eloi L. & Andrade, Pedro R. & Kurths, Jürgen & Thonicke, Kirsten, 2019. "Can intensification of cattle ranching reduce deforestation in the Amazon? Insights from an agent-based social-ecological model," SocArXiv x5q9j, Center for Open Science.
    7. Min, Yong & Du, Yuchen & Jin, Cheng, 2018. "The effect of link rewiring on a coevolutionary common pool resource game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 935-944.
    8. Vasquez Caballero, Smit & Salgueiro-Otero, Diego & Ojea, Elena, 2023. "The Role of Catch Portfolios in Characterizing Species' Economic Linkages and Fishers' Responses to Climate Change Impacts," Ecological Economics, Elsevier, vol. 205(C).
    9. Müller-Hansen, Finn & Heitzig, Jobst & Donges, Jonathan F. & Cardoso, Manoel F. & Dalla-Nora, Eloi L. & Andrade, Pedro & Kurths, Jürgen & Thonicke, Kirsten, 2019. "Can Intensification of Cattle Ranching Reduce Deforestation in the Amazon? Insights From an Agent-based Social-Ecological Model," Ecological Economics, Elsevier, vol. 159(C), pages 198-211.
    10. Günther, Michael & Hellmann, Tim, 2015. "Local and Global Pollution and International Environmental Agreements in a Network Approach," Center for Mathematical Economics Working Papers 545, Center for Mathematical Economics, Bielefeld University.
    11. Günther, Michael & Hellmann, Tim, 2017. "International environmental agreements for local and global pollution," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 38-58.

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