Transformer, an attention-based encoder–decoder model, has already revolutionized the
field of natural language processing (NLP). Inspired by such significant achievements, some …

Our research examines the critical considerations of driving factors that contribute to eco-
efficiency in grain production as a pivotal component of China's energy transition. As China …

The contributions of this research are making the theoretical analysis of the impact
mechanism of urbanisation on carbon emissions efficiency (CEE), and then empirically …

The green and low-carbon transformation of land use (GLTLU) is a pressing global issue
that requires urgent attention. The digital economy has emerged as a new driver for the …

Purpose: In this study, we attempted to reduce the negative economic externalities related to
Carbon Dioxide (CO2) emissions in the Yangtze River Delta region (YRD) and designed a …

Synergistic regional emission reduction (SRER) is an important part of the strategy to
achieve carbon neutrality. In this paper, a system efficiency value-added model is proposed …

Land use/cover change has an important impact on global climate change and carbon cycle,
and it has become another major source of carbon emission after energy consumption …

Green and low-carbon use of urban land (GLUUL) and high-quality economic development
(HED) are two closely linked and mutually reinforcing systems, and their coordinated …

On the global scale, the low-carbon city pilot policy (LCCPP) has important significance for
and influence on the study of urban land green use efficiency (ULGUE). Based on the panel …

Previous allocations of new urban land were ineffective because they lacked synergy
between quota and space, challenging the government planning authority. This study …