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A Neural Network Approach to the Environmental Kuznets Curve

Research output: Working paper/Preprint Working paperResearch

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A Neural Network Approach to the Environmental Kuznets Curve. / Bennedsen, Mikkel; Hillebrand, Eric; Jensen, Sebastian Mathias.
Aarhus: Aarhus Universitet, 2022.

Research output: Working paper/Preprint Working paperResearch

Harvard

Bennedsen, M, Hillebrand, E & Jensen, SM 2022 'A Neural Network Approach to the Environmental Kuznets Curve' CREATES Research Paper, no. 2022-09, Aarhus Universitet, Aarhus.

APA

CBE

MLA

Bennedsen, Mikkel, Eric Hillebrand, and Sebastian Mathias Jensen A Neural Network Approach to the Environmental Kuznets Curve. Aarhus: Aarhus Universitet. (CREATES Research Paper; Journal number 2022-09). 2022., 65 p.

Vancouver

Author

Bibtex

@techreport{cd40cc568874402fa95d11f55cfac259,
title = "A Neural Network Approach to the Environmental Kuznets Curve",
abstract = "We investigate the relationship between per capita gross domestic product and per capita carbon dioxide emissions using national-level panel data for the period 1960-2018. We propose a novel semiparametric panel data methodology that combines country and time fixed effects with a nonparametric neural network regression component. Globally and for the regions OECD and Asia, we find evidence of an inverse U-shaped relationship, often referred to as an environmental Kuznets curve (EKC). For OECD, the EKC-shape disappears when using consumption-based emissions data, suggesting the EKC-shape observed for OECD is driven by emissions exports. For Asia, the EKC-shape becomes even more pronounced when using consumption-based emissions data and exhibits an earlier turning point.",
keywords = "Territorial carbon dioxide emissions, Consumption-based carbon dioxide emissions, Environmental Kuznets curve, Climate econometrics, Panel data, Machine learning, Neural networks",
author = "Mikkel Bennedsen and Eric Hillebrand and Jensen, {Sebastian Mathias}",
year = "2022",
month = may,
language = "English",
series = "CREATES Research Paper",
publisher = "Aarhus Universitet",
number = "2022-09",
type = "WorkingPaper",
institution = "Aarhus Universitet",

}

RIS

TY - UNPB

T1 - A Neural Network Approach to the Environmental Kuznets Curve

AU - Bennedsen, Mikkel

AU - Hillebrand, Eric

AU - Jensen, Sebastian Mathias

PY - 2022/5

Y1 - 2022/5

N2 - We investigate the relationship between per capita gross domestic product and per capita carbon dioxide emissions using national-level panel data for the period 1960-2018. We propose a novel semiparametric panel data methodology that combines country and time fixed effects with a nonparametric neural network regression component. Globally and for the regions OECD and Asia, we find evidence of an inverse U-shaped relationship, often referred to as an environmental Kuznets curve (EKC). For OECD, the EKC-shape disappears when using consumption-based emissions data, suggesting the EKC-shape observed for OECD is driven by emissions exports. For Asia, the EKC-shape becomes even more pronounced when using consumption-based emissions data and exhibits an earlier turning point.

AB - We investigate the relationship between per capita gross domestic product and per capita carbon dioxide emissions using national-level panel data for the period 1960-2018. We propose a novel semiparametric panel data methodology that combines country and time fixed effects with a nonparametric neural network regression component. Globally and for the regions OECD and Asia, we find evidence of an inverse U-shaped relationship, often referred to as an environmental Kuznets curve (EKC). For OECD, the EKC-shape disappears when using consumption-based emissions data, suggesting the EKC-shape observed for OECD is driven by emissions exports. For Asia, the EKC-shape becomes even more pronounced when using consumption-based emissions data and exhibits an earlier turning point.

KW - Territorial carbon dioxide emissions

KW - Consumption-based carbon dioxide emissions

KW - Environmental Kuznets curve

KW - Climate econometrics

KW - Panel data

KW - Machine learning

KW - Neural networks

M3 - Working paper

T3 - CREATES Research Paper

BT - A Neural Network Approach to the Environmental Kuznets Curve

PB - Aarhus Universitet

CY - Aarhus

ER -