[Influence of New Quality Productivity on the Synergistic Effect of Pollution Reduction and Carbon Emissions Reduction] [0.03%]
[new品质生产力对减污降碳协同效应的影响]
Mei-Li Zhang,Yan-Zhao Li
Mei-Li Zhang
Under the triple background of accelerating the development of new quality productive forces， achieving the "dual carbon" goal， and promoting the construction of a beautiful China， it is of vital importance to explore the impact of new quality...
[Impact Effects and Mechanisms of New Quality Productive Forces on the Synergistic Effects of Pollution Reduction and Carbon Mitigation] [0.03%]
[新质生产力的作用效应及其对减污降碳协同效应的影响机制]
De-Shan Li,Zi-Xuan Jia
De-Shan Li
The development of new quality productive forces injects fresh impetus into achieving synergistic governance of pollution and carbon reduction. Based on panel data for 278 Chinese prefecture-level cities from 2012 to 2022， this study quantit...
Xing Ge
Xing Ge
As a major source of carbon emissions， household consumption is a key domain for demand-side carbon mitigation. Using data from four waves of the China Family Panel Studies， this study employs a staggered difference-in-differences model to id...
[Low-carbon Development Pathways of the Petrochemical Industry in the Hangzhou Bay Area Based on the LEAP Model] [0.03%]
基于LEAP模型的杭州湾地区石化产业低碳发展路径研究
Xing-Xing Ye,Hai-Xia Dai,Ying-Jie Li et al.
Xing-Xing Ye et al.
Focusing on the Hangzhou Bay petrochemical cluster， a LEAP-Hangzhou Bay petrochemical industry model was developed to identify future low-carbon development pathways for the region's petrochemical sector. Combined with factors such as indust...
[Spatial Correlation Network Structural Characteristics and Driving Factors of Agricultural "Carbon Reduction-Pollution Reduction-Green Expansion-Growth" Synergistic Development in China] [0.03%]
[中国农业“碳减排-污减排-绿扩增-促增收”协同发展的空间关联网络结构特征及驱动因素]
Yi-Hui Chen,Min-Jie Li
Yi-Hui Chen
Synergistic advancement of carbon reduction， pollution reduction， green expansion， and growth in agriculture constitutes an inevitable strategic choice for driving agricultural green transformation and achieving China's carbon peaking and carb...
[Empirical Evidence of Artificial Intelligence Empowering Urban Green and Low-carbon Development： Taking the Yangtze River Economic Belt as an Example] [0.03%]
人工智能赋能城市绿色发展和低碳发展的实证研究——来自长江经济带的证据
Wei-Xiang Xu,Yi-Fan Shi,Jin-Hui Zheng
Wei-Xiang Xu
Driven by the Fourth Technological Revolution and the "dual carbon" strategic goals， artificial intelligence has opened up new paths for the green and low-carbon development of cities. Exploring the causal relationship between the two is of ...
[Spatial Heterogeneity Analysis of Carbon Emissions in Plateau Railway Construction Based on CatBoost-SHAP Method] [0.03%]
基于CatBoost-SHAP方法的高原铁路建设碳排放空间异质性分析
Xue-Ying Bao,Tai-Yao Cao,Feng-Xia Li et al.
Xue-Ying Bao et al.
This study seeks to explore the characteristics and influence mechanism of carbon emissions in the construction stage of a plateau railway， formulate a scientific and reasonable carbon emission control strategy， and realize the sustainable de...
[Spatiotemporal Dynamics， Decoupling Analysis， and Driving Mechanisms of Carbon Emissions from China's Livestock Sector] [0.03%]
[中国畜牧业碳排放的时空动态、脱钩分析及驱动机制]
Nan Zhang,Jing Tang,Jun-Yi Yang et al.
Nan Zhang et al.
Against the backdrop of global climate change， the livestock sector， as a major source of agricultural greenhouse gas emissions， plays a critical role in shaping carbon reduction pathways and regulatory mechanisms. Based on slaughter and inven...
[Land Use Carbon Metabolism Analysis of Guangzhou Based on Ecological Network Utility and Considering Urban Green Space] [0.03%]
基于生态网络利用度的广州市土地利用碳代谢分析（考虑城市绿地）
Pei Wang,Su-Li Lin
Pei Wang
Urban green space is included in the research framework of land carbon metabolism， and the relationship between land use carbon metabolism and carbon balance is decomposed from the perspective of ecological network， which provides a scientifi...
[Spatio-temporal Coupling and Driving Mechanisms of Agricultural Carbon Emission Reduction and High-quality Development of Agricultural Economy] [0.03%]
[农业减排与农业经济高质量发展的时空耦合及驱动机制]
Jing-Cai Li,Yun Xiang,Qian Lu
Jing-Cai Li
The coordinated development of carbon emission reduction and high-quality development of agricultural economy is essential for advancing the low-carbon transformation in agriculture. Based on panel data for 229 Chinese cities from 2012 to 2...