Spatiotemporal analysis of carbon emission efficiency across economic development stages and synergistic emission reduction in the Beijing-Tianjin-Hebei region
Authors:
- 21 February 2025
- journal article
- Published by Elsevier in Journal of Environmental Management
- Vol. 377, 124609
Abstract
No abstract availableKeywords
Funding Information
- Water Conservancy Science and Technology Project of Jiangsu Province (2019031)
- National Natural Science Foundation of China (51779074)
- Hohai University
This publication has 48 references indexed in Scilit:
- Evaluation and analysis of green efficiency of China's coastal ports under the "double carbon" goal: two improved DEA models with CO2 emissionsEnvironment, Development and Sustainability, 2023
- Impact of population agglomeration in big cities on carbon emissionsEnvironmental Science and Pollution Research, 2022
- Applying the Super-EBM model and spatial Durbin model to examining total-factor ecological efficiency from a multi-dimensional perspective: evidence from ChinaEnvironmental Science and Pollution Research, 2021
- Industrialization, urbanization, and carbon emission efficiency of Yangtze River Economic Belt—empirical analysis based on stochastic frontier modelEnvironmental Science and Pollution Research, 2021
- An overview of the inequality in China’s carbon intensity 1997–2016: a Theil index decomposition analysisClean Technologies and Environmental Policy, 2021
- Modeling and spatio-temporal analysis of city-level carbon emissions based on nighttime light satellite imageryApplied Energy, 2020
- Carbon emission efficiency in China: A spatial panel data analysisChina Economic Review, 2019
- Delinking indicators on regional industry development and carbon emissions: Beijing–Tianjin–Hebei economic band caseEcological Indicators, 2015
- The impact of economic growth, industrial structure and urbanization on carbon emission intensity in ChinaNatural Hazards, 2014
- Productivity and Undesirable Outputs: A Directional Distance Function ApproachJournal of Environmental Management, 1997