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      Modelling the economic effects of COVID-19 and possible green recovery plans: a post-Keynesian approach

      1 , 2 , 2 , 3 , 2
      Climate Policy
      Informa UK Limited

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          Most cited references45

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          Co-Integration and Error Correction: Representation, Estimation, and Testing

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            The global tree restoration potential

            The restoration of trees remains among the most effective strategies for climate change mitigation. We mapped the global potential tree coverage to show that 4.4 billion hectares of canopy cover could exist under the current climate. Excluding existing trees and agricultural and urban areas, we found that there is room for an extra 0.9 billion hectares of canopy cover, which could store 205 gigatonnes of carbon in areas that would naturally support woodlands and forests. This highlights global tree restoration as our most effective climate change solution to date. However, climate change will alter this potential tree coverage. We estimate that if we cannot deviate from the current trajectory, the global potential canopy cover may shrink by ~223 million hectares by 2050, with the vast majority of losses occurring in the tropics. Our results highlight the opportunity of climate change mitigation through global tree restoration but also the urgent need for action.
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              Global supply-chain effects of COVID-19 control measures

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Climate Policy
                Climate Policy
                Informa UK Limited
                1469-3062
                1752-7457
                November 26 2021
                September 24 2021
                November 26 2021
                : 21
                : 10
                : 1257-1271
                Affiliations
                [1 ]Cambridge Centre for Environment, Energy and Natural Resource Governance (C-EENRG), University of Cambridge, Cambridge CB3 1EP, UK
                [2 ]Cambridge Econometrics Ltd, Cambridge, UK
                [3 ]Cambridge Econometrics, Budapest, Hungary
                Article
                10.1080/14693062.2021.1965525
                99fd2dea-8064-42fb-b890-e84a361ee26a
                © 2021

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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