Whole process efficiency framework for decomposing general industrial solid waste storage and discard in China

Description

Province-level source data compiled from publicly available Chinese statistical yearbooks, analysis-ready panel data, intermediate model results, calculation workbooks, and original MATLAB and Python code.

Steps to reproduce

Reproduction workflow Place all files in one folder and set that folder as the current working directory. 1. Load the analytical data and run the baseline SBM model cd('path_to_the_downloaded_Mendeley_Data_folder'); data = load('Global_VRS_DEA_Input_Output_Data_2011_2022.mat'); [overall_sbm,desirable_output_expansion,undesirable_output_reduction] = ... Baseline_Fixed_Input_Global_VRS_Output_Oriented_SBM( ... data.GXg,data.GYg,data.GYb, ... data.GXg,data.GYg,data.GYb); save('Baseline_Global_VRS_SBM_Results.mat', ... 'overall_sbm','desirable_output_expansion', ... 'undesirable_output_reduction'); 2. Run the bootstrap uncertainty assessment bootstrap_results = Bootstrap_Global_VRS_SBM_Uncertainty_Assessment( ... data.GXg,data.GYg,data.GYb, ... data.GXg,data.GYg,data.GYb,2000,0.05,12345); save('Bootstrap_Global_VRS_SBM_Results.mat', ... 'bootstrap_results','-v7.3'); 3. Run the alternative DDF sensitivity analysis ddf_results = Alternative_Fixed_Input_Global_VRS_Nonradial_DDF; The function creates the Nonradial_DDF_results folder and writes: • nonradial_ddf_indicators_2011_2022.csv; • nonradial_ddf_summary.csv; and • nonradial_ddf_results.mat. 4. Reproduce the clustering and validation results From a command prompt opened in the package folder, run: python Provincial_General_Industrial_Solid_Waste_Clustering_and_Validation.py The script creates the cluster_outputs folder and writes: • cluster_validation_metrics.csv; • cluster_assignments_k3.csv; • cluster_stability_summary.csv; • cluster_standardized_data.csv; and • cluster_results.json. 5. Reproduce the LMDI decomposition and attribution calculations Open the whole-process four-effect workbooks first, followed by the seven-factor workbooks and the provincial attribution workbook. The source-data and factor sheets feed the province-level decomposition sheets through Excel formulas. The Type II multiplicative workbooks contain the primary multiplicative decomposition reported in the manuscript. The Type I and additive workbooks are retained as transparent complementary calculation records.

Institutions

• Yangzhou University

  Jiangsu, Yangzhou
• Nanjing University of Aeronautics and Astronautics

  Jiangsu, Nanjing

Categories

Funders

• National Natural Science Foundation of China

  Beijing, Beijing

  Grant ID: 72373129
• Jiangsu Province Science and Technology Department

  Jiangsu, Nanjing

  Grant ID: BK20240939
• Jiangsu Education Department

  Government of Jiangsu Province

  Jiangsu, Nanjing

  Grant ID: 2024SJYB1522
• Yangzhou University

  Jiangsu, Yangzhou

  Grant ID: xjj2023-10

Licence