Low-Temperature Intelligent Energy Storage Cabinet for the Yangtze River Economic Belt

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How digital technology affects regional energy intensity from the

Further analysis reveals that green technology innovation is a crucial pathway through which the digital economy reduces regional energy intensity. Additionally, the digital economy

Investigation of Industrial Structure Upgrading, Energy Consumption

Analyzing the impact of industrial restructuring on energy transition and emission reduction is crucial for its low-carbon transformation.

Evaluation of Energy Utilization Efficiency in the Yangtze River

For this purpose, this paper uses the super-efficiency SBM model, ML index and Tobit model considering undesired output to explore the energy efficiency and the main factors affecting it

Spatiotemporal dynamics and driving factors of energy-related carbon

Regional CE study is becoming more crucial for determining the future course of sustainable development worldwide. In this work, two types of nighttime light data were integrated to

Carbon constraints, industrial structure upgrading, and green total

Using the panel data of 11 provinces in the Yangtze River Economic Belt from 2006 to 2020, this study calculates industrial green total factor productivity using the super-efficient SBM

Investigation of Industrial Structure Upgrading, Energy

Analyzing the impact of industrial restructuring on energy transition and emission reduction is crucial for its low-carbon transformation.

How digital technology affects regional energy intensity

Further analysis reveals that green technology innovation is a crucial pathway through which the digital economy reduces regional energy

Spatial multi-objective optimization towards low-carbon transition in

We propose a multi-objective optimization approach to explore land use transitions towards low carbon by considering emissions reduction, ecological protection, and economic

Spatio-temporal synergies of digital economy and green finance

This study first examines the spatio-temporal co-evolution of IDEGF and green low-carbon transition (GLCT) across 41 cities in the Yangtze River Delta (YRD) region using the panel grey

Measuring and optimizing pathways for regional economic and low

This scenario focuses on the optimization and upgrading of the energy structure in the Yangtze River Basin, aiming to build a clean, low-carbon, safe, and efficient energy system, closely

The correlation between low-carbon economy and energy technology

Methods: To explore the mutual influence between low-carbon economy and energy technology innovation, this study took the Yangtze River Delta region as the research object,

Evaluation of Energy Utilization Efficiency in the

For this purpose, this paper uses the super-efficiency SBM model, ML index and Tobit model considering undesired output to explore the energy

Future of Carbon Storage in the Yangtze River Basin, China under

Here, we conducted a simulation study grounded by recent empirical evidence and advances in modeling techniques to project the spatiotemporal dynamics of carbon storage of the

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