Dataset of Industrial Green Total Factor Productivity and Water Environment Drag Index for Core Riverside Cities in the Yangtze River Economic Belt (2000-2022)
LIU Rong1,2WANG Zhenbo*1
1 Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China2 University of Chinese Academy of Sciences,Beijing 100049,China
DOI:10.3974/geodb.2026.04.08.V1
Published:Apr. 2026
Visitors:58 Data Files Downloaded:0
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Key Words:
Green Total Factor Productivity,SBM-GML Index,Yangtze River Economic Belt,water environmental constraints; energy consumption
Abstract:
The dataset of industrial green total factor productivity for core riverside cities in the Yangtze River Economic Belt (2000–2022) was developed based on the industrial input-output data, integrated with the undesirable output SBM-GML (Slacks-Based Measure - Global Malmquist-Luenberger) Index Model. The Water Environment Drag Index (WEDI) and Energy Consumption Drag Index (ECDI) were constructed. The dataset includes: (1) industrial green total factor productivity and WEDI of 25 cities, including unconstrained, water-constrained, water-energy dual-constrained total factor productivity, Cumulative Efficiency Indices, and WEDI and ECDI; (2) spatial information of 25 cities; (3) the input-output data, which was used to calculation. The dataset is archived in .xlsx data format, and consists of one file with data size of 214 KB.
Foundation Item:
Data Citation:
LIU Rong, WANG Zhenbo*. Dataset of Industrial Green Total Factor Productivity and Water Environment Drag Index for Core Riverside Cities in the Yangtze River Economic Belt (2000-2022)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2026. https://doi.org/10.3974/geodb.2026.04.08.V1. .
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Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
Ind.GTFP_YREB_2000-2022.xlsx |
213.99KB |
|