This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 381–400 of 683 papers
Liu Yang, Yuping Wu
This study uses text-mining to analyze the central-local synergy and thematic evolution of China's green and low-carbon energy policies. It reveals how central and local policies interact and how policy themes have evolved over time based o…
Pingchuan Dong, Wen Yue
This study examines the impact of China's low-carbon city pilot policy on urban economic resilience using a difference-in-differences approach. Analyzing panel data from 270 Chinese cities from 2005-2020, it finds that low-carbon city devel…
Jianyang Lei, Huanhuan Yang, Fangfang Wang
This study analyzes the impact of China's Low-Carbon City pilot policy on income inequality. Using city-level data, it finds that the policy may increase inequality in the short term, while also highlighting potential long-term environmenta…
Ziyu Liu, Yunlong Nie
Using panel data of 282 Chinese cities from 2009-2021, this study examines the impact of the Low-Carbon City Pilot policy on total factor carbon productivity (TFCP). The policy significantly improves TFCP, with mechanisms including technolo…
Jiong Wu
This paper constructs a multi-source data mining framework for provincial energy, industry, economy, and carbon indicators. It encodes 26 indicators from 30 regions (2011-2023) into standardized time sequences. A coupled identification modu…
Jiaomei Tang, Wen Gao, Yayun Ren
This study empirically examines the unintended co-benefits of China's Low-Carbon City Pilot Policy on smart manufacturing adoption among listed firms from 2007 to 2023. Using staggered difference-in-differences, it finds significant promoti…
Liu Wenjun, Liu Xingcheng
This dataset supplements a study on the green innovation effect of China's dual pilots for low-carbon and innovative cities. It includes variable definitions and robustness test results, providing additional evidence for evaluating the syne…
Mingtao Gao, Ubair Nisar, Cheng Li +3
This study uses fuzzy-set Qualitative Comparative Analysis to examine how agricultural infrastructure configurations affect carbon intensity across 30 Chinese provinces. It identifies two main pathways to low-carbon food systems: scale expa…
Wenwen Song, Yonghui Tang, Yusuo Li +1
Using panel data from 31 Chinese provinces (2010-2023), this study finds that digital technology significantly reduces agricultural carbon emission intensity, with effects mediated through strengthened environmental regulation and improved …
Li Liu, Yan Chen
This study evaluates China's low-carbon city pilot program on green total factor productivity (GTFP) using PSM-DID on 285 cities (2009-2022). The policy significantly boosts GTFP, with technological innovation and industrial upgrading as ke…
Yuren Qian, Jiahan Hu, Bingnan Guo +2
This paper estimates the causal impact of China's Low-Carbon City Pilot Scheme (LCCPS) on urban energy intensity using a partially linear double/debiased machine learning framework with panel data from 273 Chinese cities (2006-2021). It fin…
Pramit Chandra Rout, Rubi Talukdar, Prabir Kumar Pattnaik +2
This paper examines the role of environmental law and climate governance in India's low-carbon transition, focusing on policy instruments, sectoral interventions, and emission decoupling. It assesses the effectiveness of India's climate pol…
Huihui Tian
This study constructs a green and low-carbon consumption indicator system under China's dual carbon goals, using fuzzy AHP and spatial autocorrelation analysis. It finds that technological innovation and talent introduction have positive sp…
Hong Zang, Yuqing Sun, Lue Li +1
This study uses a quasi-experimental design to examine the impact of GDP-centric growth (GDPism) on low-carbon development in China. Findings provide insights into the trade-offs between economic growth and environmental policy, offering im…
Y Li, zhenghuang shi, Wenhui Chen +2
This study examines whether China's Low-Carbon City Pilot (LCCP) policy enhances urban industrial transformation. Using panel data from 283 Chinese cities (2008-2023) and double machine learning, it finds that LCCP significantly promotes in…
Shibo Zeng
This paper analyzes the synergistic effects of pilot policies integrating mitigation and adaptation actions to promote low-carbon transition in Chinese cities. It evaluates policy implementation and provides insights to strengthen urban low…
Fajar Alamsyah, Romy Hermawan
This study analyzes political network barriers to Indonesia's low-carbon transition using a CIMO-framework systematic review. It finds fragmented state apparatus, dominant fossil fuel interests, and regulatory capture, leading to carbon loc…
Ronald Mukanya, Khomotso Semenya
This narrative review synthesizes interdisciplinary literature on subnational energy governance and energy resilience in low-carbon transitions, focusing on middle-income and emerging economies. It examines the role of provincial and region…
Hao Zeng, Zihan Cheng, Chenyu Kang +1
This study uses 2022 CFPS data and a stratified PSM model to analyze how agricultural subsidies influence farmers' low-carbon transition in China. Subsidies significantly promote transition through cost constraint mitigation and improved lo…
Kangyin Dong, Wenchao Wang, Yang Liu +1
This study explores the role of artificial intelligence and public finance in shaping climate-resilient city policies for carbon neutrality. It focuses on how AI-driven optimization and fiscal mechanisms can be integrated to enhance urban d…
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