Input-Output Index Data of China's Road Freight Transport from 2017 to 2019

Published: 29 June 2022| Version 1 | DOI: 10.17632/xd7c7dw6t6.1
Contributor:
Jiali YU

Description

This database contains two types of data: (1) Raw input-output indicators: this data consists of a combination of 2017 to 2019 China Statistical Yearbook employees, road mileage, number of operating vehicles, freight volume, freight turnover and China Energy Yearbook CO2 emissions derived through the IPCC calculation formula. (2) DEA-CCR and BCC model results, Super-SBM-Undesirable model results, Malmquist model results and Malmquist-Luenberger model results calculated by Max DEA software.

Files

Steps to reproduce

This database contains two types of data: (1) Raw input-output indicators: this data consists of a combination of 2017 to 2019 China Statistical Yearbook employees, road mileage, number of operating vehicles, freight volume, freight turnover and China Energy Yearbook CO2 emissions derived through the IPCC calculation formula. (2) DEA-CCR and BCC model results, Super-SBM-Undesirable model results, Malmquist model results and Malmquist-Luenberger model results calculated by Max DEA software.

Categories

Data Envelopment Analysis, Input-Output Analysis, Road Freight

License