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PRWP

Reproducibility package for FTT-FLEX: Flexible Technology Diffusion Analysis Tool for Data Poor Countries

2024
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Reference ID
RR_GNB_2024_129
DOI
https://doi.org/10.60572/2ejc-hv83
Author(s)
Unnada Chewpreecha, Francis Dennig, Ib Hansen
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Jul 02, 2024
Last modified
Jul 02, 2024
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation

    • Overview

    Abstract

    To achieve substantial emission reductions, widespread low-carbon technology adoption is vital. The process by which new technologies are developed and adopted and how their costs evolve is critical to understanding decarbonization. Modelling of this process requires a tool that realistically describes several phenomena related to technology adoption in different sectors, including technology diffusion, investment decisions, evolution of technology costs, and technology lock-in, among others.
    This paper introduces FTT-FLEX, a simplification of the Future Technology Transformation (FTT) model (Mercure, 2012). FTT-FLEX is suitable for application as a single-country standalone tool or in connection with a macro-economic model. FTT-FLEX captures the core country-level of features of FTT (knowledge spillovers as the driver of technology cost and inertia in the adoption of new technologies) as they pertain to an individual country and greatly reduces the data required as compared with the global FTT model. As presented, FTT-FLEX is a natural complement to country specific macroeconomic models that analyze the decarbonization of key emitting sectors in small developing countries. The utility of FTT-FLEX is demonstrated by a decarbonization analysis for the power-sector of Guinea-Bissau.

    Reproducibility Package

    Scripts
    Get Reproducibility Package
    Title
    Reproducibility package (partial data and partial code) for FTT-FLEX: Flexible Technology Diffusion Analysis Tool for Data Poor Countries
    Dependencies
    No dependencies were used in this reproducibility package.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Name
    EViews
    Version
    13 Enterprise Edition

    Reproducibility

    Technology environment

    Paper exhibits were reproduced in a computer with the following specifications:
    – OS: Windows 11 Enterprise
    – Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
    – Memory available: 15.7 GB
    – Software version: EViews 13 Enterprise Edition - May 7 2024 build
    Technology requirements

    Runtime: 1 minute
    Reproduction instructions

    Users will not be able to reproduce the results of the paper, as access to some input data sources is restricted, and access to the intermediate dataset used to produce the results is also restricted. The included scripts document how outputs were created. The code used to create the intermediate dataset is currently embargoed.

    Data

    Datasets
    Name
    Levelised Cost of Electricity Calculator from the International Energy Agency (IEA)
    Note
    Variables: levelized cost of electricity. Variable names in EViews workfile: COST__(technology). Data was accessed in November 2023.
    Access policy
    Data is public and included in the reproducibility package in tabs with the name "LCOE [source] - IEA" of the file "FTTAssumptions.xlsx".
    Data URL
    https://www.iea.org/data-and-statistics/data-tools/levelised-cost-of-electricity-calculator
    Name
    Electricity production from Our World in Data
    Note
    Variables: global baseline cumulative power production by technology. Variable names in EViews workfile: ACCUMULATED_PRODUCTION__(technology). Data was accessed in November 2023.
    Access policy
    Data is public and included in the reproducibility package in the tab "OWID" of the file "FTTAssumptions.xlsx".
    Data URL
    https://ourworldindata.org/electricity-mix
    Name
    Electricity production and fuel price scenarios from IEA's World Energy Outlook 2022 Extended Dataset
    Note
    Variables used: energy production by technology, oil price increases, gas price increases, and coal price increases. Variable names in EViews workfile: ACCUMULATED_PRODUCTION__(technology), OIL_PRICE_STEPS, GAS_PRICE_STEP, COAL_PRICE_STEP. Data was accessed in November 2023.
    Access policy
    Data is restricted. It should be purchased in the data URL.
    License URL
    https://www.iea.org/terms/terms-of-use-for-non-cc-material
    Data URL
    https://www.iea.org/data-and-statistics/data-product/world-energy-outlook-2022-extended-dataset
    Name
    Main FTT-Power Database from Mercure (2012)
    Note
    Variables: learning rate by technology, CO2 intensity by power generation technology, and lead and lifetime of power plant by technology. Variable names in EViews workfile: LEARNING__(technology), CO2_COEFF__(technology), LEAD__(technology), and TAU__(technology). Data was accessed in November 2023.
    Access policy
    Data is not publicly available but can be requested to the author of: Mercure, J-F. (2012), “FTT:Power A global model of the power sector with induced technological change and natural resource depletion”, Energy Policy, 48, pp. 799–811 (https://doi.org/10.1016/j.enpol.2012.06.025).
    Name
    Learning rate by technology from IRENA (2023)
    Note
    Variable names in EViews workfile: LEARNING__(technology). Data was manually compiled from the report: IRENA (2023), Renewable power generation costs in 2022, International Renewable Energy Agency, Abu Dhabi. Data was accessed in November 2023.
    License
    Users must obtain the data directly from the Data URL provided below for the variables specified in the README.
    Data URL
    https://www.irena.org/Publications/2023/Aug/Renewable-Power-Generation-Costs-in-2022
    Name
    Guinea-Bissau Macroeconomic and Fiscal Model (MFMod) Dataset from the World Bank
    Note
    Data for Guinea-Bissau was manually compiled from the data URL and complemented by Guinea-Bissau Country Economist’s sources for electricity sector expansion and public investment assumptions. Data was accessed in November 2023. The current data available in the data URL might not match the version of the accessed data.
    Access policy
    Users must obtain the data directly from the Data URL provided below for the variables specified in the README. Data on electricity sector expansion and public investment assumptions is restricted and must be obtained from the Guinea-Bissau Country Economist.
    Data URL
    https://www.worldbank.org/en/publication/macro-poverty-outlook/mpo_ssa
    Data statement

    Two datasets are restricted, two are public but not included in the reproducibility package, and two are public and included in the reproducibility package.

    Description

    Output
    Type
    Working paper
    Title
    FTT-FLEX: Flexible Technology Diffusion Analysis Tool for Data Poor Countries
    Description
    Policy Research Working Paper (PRWP) 10767
    URL
    https://documents.worldbank.org/curated/en/099735005082423970/IDU117d8923a1226614d42196d115fb48f7c219b
    DOI
    https://doi.org/10.1596/1813-9450-10767
    Authors
    Author Affiliation Email
    Unnada Chewpreecha World Bank uchewpreecha@worldbank.org
    Francis Dennig United Nations Development Programme francis.dennig@undp.org
    Ib Hansen ibhansen.iv@gmail.com
    Date of production

    2024-05

    Scope and coverage

    Geographic locations
    Location Code
    Guinea-Bissau GNB
    Keywords
    technology diffusion model low carbon policies macroeconomic model
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    O33 Technological Change: Choices and Consequences • Diffusion Processes O3 Journal of Economic Literature (JEL)
    O38 Open Innovation O3 Journal of Economic Literature (JEL)
    E17 Forecasting and Simulation: Models and Applications E1 Journal of Economic Literature (JEL)
    Q55 Technological Innovation Q5 Journal of Economic Literature (JEL)
    Q42 Alternative Energy Sources Q4 Journal of Economic Literature (JEL)
    Q43 Energy and the Macroeconomy Q4 Journal of Economic Literature (JEL)
    Q48 Energy - Government Policy Q4 Journal of Economic Literature (JEL)

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Unnada Chewpreecha World Bank uchewpreecha@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DIME World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2024-06-05
    Document version

    1

    Citation

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