This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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 13081–13100 of 36417 papers
Piyu Ke, Philippe Ciais, Yitong Yao +29
From July 2023 to June 2024, atmospheric CO2 growth hit a record 3.66 ppm/yr since 1979, driven mainly by a weakened land sink, with tropics accounting for 97.5% of the anomaly. This low-latency carbon budget update demonstrates rapid track…
Changqing Guo, Ruizhen Liu, Xueyu Bai +1
This paper empirically analyzes the impact of establishing national big data comprehensive pilot zones on urban green and low-carbon development in China. It examines whether the clustering of big data industries contributes to environmenta…
Dheeraj Singh, Ankur Dwivedi, Tarun Verma
This review comprehensively surveys hydrogen production via low-ash coal gasification, covering gasification technologies, syngas cleaning, hydrogen purification, and CCS integration. It compares coal types, operating conditions, and cataly…
Jing Li
This paper empirically analyzes how China's green public procurement policies have created demand for low-carbon products. It quantifies the market creation effects of such policies and highlights the role of public procurement in the green…
Wen Xiang, Jianzhong Gao
Using survey data from 10,057 kiwifruit growers in China, this study applies machine learning (random forest, SHAP) to analyze how farmers' digital capabilities affect initial and sustained adoption of low-carbon agricultural technologies. …
Shikha Daga, Remy Jonkam Oben, Phuong Mai Nguyen +1
This paper explores how FinTech (digital financial innovation) can drive low-carbon growth in India. It likely discusses the role of financial technology in promoting green finance, sustainable investment, and climate action, offering polic…
Prajita Budhathoki, Jared Cantrell, Mustafa Mashal
This research proposes a hybrid structural system combining timber and Ultra-High-Performance Concrete (UHPC) to reduce embodied carbon while enhancing structural performance compared to timber-normal concrete systems. Through experiments a…
Rasmus Magni Johannsen, Nikos Kleanthis, Meng Yuan +3
This study proposes a decentralization-adjusted diversity index to assess energy system diversity and applies it to 100% renewable energy scenarios for Denmark and Greece using EnergyPLAN and OSeMOSYS. It finds that while fossil fuel phase-…
Silvina Dwike Setyawati, Harlina Meidiaswati, Cici Widowati
This study uses a systematic literature review and bibliometric analysis of 33 Scopus-indexed articles (2020-2025) to examine how green finance and ESG integration impact environmental performance and carbon neutrality. It finds that green …
Anhang Chen, Yue Zhang, Wei Zhao
This paper analyzes enterprises' digital transformation investment strategies and supply chain coordination under carbon cap-and-trade policy. It models how digital investments affect emission reduction and cost efficiency, offering insight…
Xin Zhang, Boyi Li, Richao Cong +2
This empirical study examines how coordinating carbon trading and green certificates affects low-carbon cross-regional electricity transmission, using Inner Mongolia, China as a case. It quantitatively evaluates policy coordination effects,…
Akhil Gawas, B. P. Sarath Chandran
This study examines the long- and short-run dynamics of trade openness, economic growth, and CO2 emissions in India within the EKC framework using ARDL and structural break analysis (1971-2021). The EKC hypothesis is supported with an incom…
Monica Nahabwe, Monica Nahabwe
This paper quantifies the financing gap for Uganda's Energy Transition Plan (ETP) and explores ways to close it. Supported by the UK's FCDO, it highlights the need for increased investment in renewables and mobilizing private capital. It of…
Monica Nahabwe
This paper examines the financing gap in Uganda's energy transition plan. It analyzes the discrepancy between investment needs for renewable energy and available funds, highlighting policy and financing challenges. It provides insights into…
Tianjiao Luo, Xinran Wang, Tieshuan Feng
This paper empirically examines the impact of Country-by-Country Reporting (CbCR) on corporate ESG performance. It suggests that anti-tax avoidance regulations enhance corporate transparency and accountability, potentially promoting ESG beh…
M.S. Rachana
This paper explores executives' perceptions of ESG reporting implementation in India. While specific findings are unavailable, it likely offers insights into practical challenges and opportunities in ESG reporting.
Khawla Oufrit, Abdelkader Mouadili, Mimoun Zazoui
This study proposes a hybrid PV forecasting framework combining stacking ensemble learning with targeted residual correction. It integrates Random Forest, Extra Trees, and XGBoost with a Ridge meta-learner, and applies a correction model to…
Helena M. Ramos, Chetan Rishi, Óscar E. Coronado-Hernández +3
This study proposes an MCDA framework combining machine learning (EL-SVM, decision tree, logistic regression) with AHP to evaluate candidate sites for hybrid renewable energy systems (HRES) integrating solar, wind, hydropower, and storage. …
Xavier Banze, Issufo Juma, Luis Guambe
This paper models clean cooking transitions in Mozambique using geospatial analysis, recommending a gradual, differentiated strategy based on maximum net benefits. It prioritizes improved charcoal stoves and LPG in the short term, and elect…
Mahmud Hasan Riaz
This study examines the long-run effects of globalization, FDI, clean fuel access, renewable energy consumption, and economic growth on CO2 emissions in Costa Rica using annual data from 1980 to 2023. Employing DOLS, FMOLS, and CCR, the res…
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