Research Data Leeds Repository

Citation

Aramendia, Emmanuel and Brockway, Paul E. and Pizzol, Massimo and Heun, Matthew (2020) Data associated with the Applied Energy article 'Moving from final to useful stage in energy-economy analysis: a critical assessment'. University of Leeds. [Dataset] https://doi.org/10.5518/931

Dataset description

This dataset enables to reproduce the work conducted in the Applied Energy article "Moving from final to useful stage in energy-economy analysis: a critical assessment". Input data are provided as a csv file; and R code to reproduce the causality tests and the aggregate production function modelling conducted in the paper are provided. In addition, the R code provided enables to reproduce all causality and aggregate production functions figures reported in the article.

Additional information:	Data provided in the repository (both input data and R code) is shared under the CC-BY-4 license. However, please note that: - economic data in the input_data.csv file (rgdpna, rgdpe, rgdpo, L, Ladj, K, Kserv) are constructed (by indexation) from the Penn World Table v9.1 (CC-BY-4 license). Appropriate referencing of the Penn World Table when reusing these data is required: "Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt". - primary and final energy data (PE and FE) are constructed (by indexation) from the International Energy Agency (IEA) World Energy Extended Balances. Appropriate referencing of the dataset is required when reusing these data: "IEA. World Energy Balances 2018 Edition - Database Documentation. Technical report, International Energy Agency, 2018." - R code is provided under the MIT license.
Keywords:	energy-economy analysis; energy-economy modelling; energy extended aggregate production functions; energy-GDP causality testing
Divisions:	Faculty of Environment > School of Earth and Environment
Related resources:	Location Type https://doi.org/10.1016/j.apenergy.2020.116194 Publication https://eprints.whiterose.ac.uk/169469/ Publication
Date deposited:	14 Dec 2020 14:47
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/791
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Aramendia, Emmanuel https://orcid.org/0000-0002-5964-6776 University of Leeds https://ror.org/024mrxd33 ror Brockway, Paul E. https://orcid.org/0000-0001-6925-8040 University of Leeds https://ror.org/024mrxd33 ror Pizzol, Massimo https://orcid.org/0000-0002-7462-2668 Aalborg University https://ror.org/04m5j1k67 ror Heun, Matthew https://orcid.org/0000-0002-7438-214X Calvin University https://ror.org/05055ck28 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/R024251/1 Publication date: 2020 Resource language: English Metadata language: English Research project title: Applying thermodynamic laws to the energy-GDP decoupling problem Publisher: University of Leeds Contact email: eeear@leeds.ac.uk Last Modified: 03 Sep 2024 08:01

Files

Documentation

READ ME [3kB] READ ME [3kB] READ ME [3kB] Security: Anyone File name: README_v1.txt Content type: Documentation Description: Description of the dataset as well as instructions Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Data

Input data [10kB] Input data [10kB] Input data [10kB] Security: Anyone File name: input_data_v1.csv Content type: Data Description: Input data. Encoding UTF-8; newline character "\n"; no encapsulation Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 10kB

Program

Granger causality tests [14kB] Granger causality tests [14kB] Granger causality tests [14kB] Security: Anyone File name: granger_causality_tests_v1.R Content type: Program Description: R code for conducting causality tests from the input_data.csv file. Package versions and R version are described in the code License: MIT License File size: 14kB

Plotting Granger causality tests [19kB] Plotting Granger causality tests [19kB] Plotting Granger causality tests [19kB] Security: Anyone File name: plotting_causality_v1.R Content type: Program Description: R code for plotting causality tests results. It assumes that the granger_causality_tests.R script has been run first. Package versions and R version are described in the code. License: MIT License File size: 19kB

Fitting APFs [14kB] Fitting APFs [14kB] Fitting APFs [14kB] Security: Anyone File name: fitting_apfs_v1.R Content type: Program Description: R code for fitting APFs and plotting results as in the paper. Package versions and R version are described in the code. License: MIT License File size: 14kB