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      Economic, land use, and ecosystem services impacts of Rwanda's Green Growth Strategy: An application of the IEEM+ESM platform.

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          Abstract

          We develop and link the Integrated Economic-Environmental Modeling (IEEM) Platform to ecosystem services modeling (ESM). The IEEM+ESM Platform is an innovative decision-making framework for exploring complex public policy goals and elucidating synergies and trade-offs between alternative policy portfolios. The IEEM+ESM approach is powerful in its ability to shed light on (i) change in land use and ecosystem services driven by public policy and the supply and demand responses of businesses and households; and (ii) impacts on standard economic indicators of concern to Ministries of Finance such as gross domestic product and employment, as well as changes in wealth and ecosystem services. The IEEM+ESM approach is being adopted rapidly and by the end of 2020, IEEM+ESM Platforms will be implemented for about 25 countries. To demonstrate the insights generated by the IEEM+ESM approach, we apply it to the analysis of alternative green growth strategies in Rwanda, a country that has made strong progress in reducing poverty and enhancing economic growth in the last 15 years. The case of Rwanda is particularly compelling as it faces intense pressure on its natural capital base and ecosystem services, already with the highest population density in Africa, which is projected to double by 2050. In applying IEEM+ESM and comparing the outcomes of Rwanda's green growth policies, increasing fertilization of agricultural crops shows the largest economic gains but also trade-offs in environmental quality reflected through higher nutrient export and reduced water quality. Combining crop fertilization with forest plantations better balances critical ecosystem services and their role in underpinning economic development as Rwanda progresses toward its target of middle-income status by 2035. This application to Rwanda's green growth strategy demonstrates the value-added of the IEEM+ESM approach in generating results that speak to both economic outcomes and impacts on market and non-market ecosystem services.

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          Author and article information

          Journal
          Sci Total Environ
          The Science of the total environment
          Elsevier BV
          1879-1026
          0048-9697
          Aug 10 2020
          : 729
          Affiliations
          [1 ] Inter-American Development Bank, Environment, Rural Development, Environment and Disaster Risk Management Division, 1300 New York Avenue N.W., Washington, DC 20577, USA. Electronic address: onilb@iadb.org.
          [2 ] U.S. Geological Survey, Geosciences & Environmental Change Science Center, P.O. Box 25046, MS 980, Denver, CO 80225, USA.
          [3 ] Universidad Nacional de la Plata, Facultad de Ciencias Económicas, Calle 6 entre 47 y 48, 3er piso, oficina 312, 1900 La Plata, Argentina.
          [4 ] 65620 Island Road, Deer Island, OR 97054, USA.
          [5 ] Victoria University, PO Box 14428, Melbourne, Victoria 8001, Australia.
          [6 ] Auburn University, 3301 Forestry and Wildlife Building, 602 Duncan Drive, Auburn, AL 36849, USA.
          [7 ] World Wildlife Fund for Nature, BP 931, Kigali, Rwanda.
          [8 ] State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China.
          [9 ] School of Ecosystem and Forest Sciences, University of Melbourne, Richmond, Victoria 3121, Australia.
          Article
          S0048-9697(20)32296-8
          10.1016/j.scitotenv.2020.138779
          32380323
          a865ac87-89dd-4692-91de-d277c0e7c846
          Copyright © 2020 Elsevier B.V. All rights reserved.
          History

          Ecosystem services modeling,Ex-ante economic impact evaluation,Green growth,Integrated Economic-Environmental Modeling (IEEM) Platform,Natural capital,Rwanda,System of Environmental-Economic Accounting (SEEA)

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