Adedeji-Taiwo/nigeria-emissions-decoupling-ekc

Reproducible pipeline for LMDI decomposition, Tapio decoupling, and ARDL-EKC analysis of agricultural GHG emissions in Nigeria (1990–2021). # Agricultural Emission Drivers, Decoupling Dynamics, and EKC Evidence in Nigeria ### LMDI · Tapio Decoupling · ARDL‑EKC · Fully Reproducible This repository contains the complete computational pipeline for the paper: > **Beyond Scale Effects: Agricultural Emission Drivers, Decoupling Dynamics, and Environmental Kuznets Curve Evidence in Nigeria** > *Taiwo Adedeji Michael, Qudus Oladeji Olamide, and Adeyeye Daniel Oludayo* > Preprint available at dx.doi.org --- ## What this repo does The study decomposes Nigeria’s agricultural GHG emission trajectory (1990–2021) using three complementary approaches: - **Logarithmic Mean Divisia Index (LMDI)** – isolates the contribution of five Kaya‑identity drivers. - **Tapio decoupling elasticity analysis** – classifies emission‑output relationships. - **Environmental Kuznets Curve (EKC) via ARDL bounds testing** – estimates long‑run income–emission relationships. The LMDI and Tapio calculations are provided in Excel, while the EKC analysis is fully reproducible via Python scripts. --- ## Repository structure ```bash . ├── data/ │ ├── nigeria_agric_dataset.xlsx ├── ekc/ │ ├── nigeria_agric_data.py │ ├── ekc_preliminary.py │ ├── ekc_unit_root_adf.py │ ├── ekc_unit_root_pp.py │ ├── ekc_unit_root_za.py │ ├── ekc_ardl_lag_selection.py │ ├── ekc_bounds_test.py │ ├── ekc_error_correction.py │ ├── ekc_longrun_coefficients.py │ ├── ekc_shortrun_dynamics.py │ ├── ekc_cubic_robustness.py │ ├── ekc_diagnostics.py │ ├── ekc_plot_longrun_curve.py │ ├── results/ │ └── figures/ ├── lmdi_tapio/ │ └── lmdi_tapio_analysis.xlsx ├── all_figures/ ├── requirements.txt └── README.md ``` ### Note - The figures/ folder contains all figures used in the manuscript (conceptual framework, LMDI decomposition plots, Tapio decoupling index chart, EKC curve, etc.). They are provided for direct reference alongside the code and data. --- ## Installation & Requirements 1. Clone the rep …