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 19621–19640 of 36021 papers
Simón X, Montero M, Patino-Artaza H
This paper analyzes the divergent patterns of community wind project development in Germany and Spain through the lens of regulatory design. Using legal-doctrinal and comparative methodology, it examines four normative dimensions: legal rec…
Sah SP
This study analyzes the bidirectional dynamics between green finance, institutional quality, policy effectiveness, and environmental sustainability across 14 Middle Eastern countries from 2000-2022. Using second-generation panel estimators …
Lawal E, OKEREKE IG
This study investigates the effect of agricultural technology adoption (measured by a Digital Agricultural Index) on green economy performance (CO2 emissions) and climate financing in 15 ECOWAS countries from 2010-2023. Using panel economet…
Prasad KS
This study develops eco-friendly precast concrete (M30 grade) using recycled aggregates and low-carbon binders such as LC³ (limestone calcined clay cement) and geopolymer. Replacing up to 50% of natural aggregates with recycled materials ma…
Cheng, Lefeng, Wang, Kun, Kuozhen, Zhang
This reproduction package provides two benchmark models for self-organizing evolution and autonomous coordination in distributed renewable energy systems. It closes the price-strategy loop by making price a dual variable of market-clearing,…
Nguyen Thi Bich Diep
This paper analyzes Vietnam's policy framework for green economic development, examining legal instruments, national strategies, and market mechanisms including the carbon market. It argues Vietnam has shifted toward a broader governance ap…
Parmar, Ayush, Devi, Ms. Velpuri Leela
This paper compares photovoltaic materials used in industrial solar power generation, using Indian large-scale solar projects as examples. It reviews four generations of solar cells from monocrystalline silicon to emerging nanomaterials, di…
A.S. Posemeinova
This paper analyzes key factors determining the carbon footprint of wastewater treatment plants and discusses modern methods for reducing greenhouse gas emissions, primarily CO2, CH4, and N2O. It identifies aeration, sludge treatment, and h…
Dr.Navneet Kumar Assistant Professor, P.G. Department of Mathematics, Purnea University Purnia
This study proposes an explainable q-rung orthopair fuzzy Entropy-COPRAS framework for green hydrogen site selection under uncertainty. It considers renewable energy availability, water access, grid connectivity, and social feasibility. A b…
Li, Chaohui, Seydewitz, Tobias, Foong, Adrian +10
This study analyzes the paradox between opportunity and readiness for timber-based climate solutions in cities worldwide. It evaluates carbon storage potential and barriers such as building codes and industrial infrastructure using a global…
Omurbekova M., Bekturganova A., Kudabaeva N.
This paper proposes a quantitative methodology for climate risk assessment within corporate long-term strategic planning. It integrates financial stress testing of physical and transition risks, and provides a step-by-step algorithm for inc…
Andrew G. Ross, Julia Gershenzon, Andreas Kleefeld
This paper extends Cross-Impact Balance (CIB) analysis by applying Linear Response Theory, deriving four novel analytical objects: the Type I cross-impact multiplier, perturbation budget, impulse response function, and unit-impulse shock pr…
Yanfen Yang, Ziwei Yang, Hairui Zhao +1
This study manipulates precipitation in Qinghai Lake lakeside wetland, measuring CO2, CH4, N2O fluxes. Results show that wetting and drying affect emissions differently depending on time of day and treatment intensity, with complex correlat…
Saijun Zhou, Zhijie Zheng, Yongyi Yu +6
This study analyzes GHG emissions from four Chinese WWTPs with different processes using 2022 monthly data. Indirect emissions dominate, driven by electricity. Membrane bioreactor processes show highest intensity due to energy demands. Exis…
Dandan Liu, Kaipeng Zhai, Li Chen +7
This paper reports that a composting technology combining membrane and electric field simultaneously promotes greenhouse gas emission reduction and humification. Although specific data are not available, it suggests potential applications i…
Tao Li, Yi Wu, Mingyang Li
This study proposes a stacking ensemble model with SHAP interpretability to map forest carbon density and net primary productivity. Using forest data from China, it provides insights for management zoning. The work fits the AI×ESG intersect…
An Thi Binh Duong, Linh Tran Khanh Do, Scott McDonald +4
This study develops and empirically tests a strategic framework using evolutionary machine learning (EML) to drive sustainable performance in construction firms. Analyzing 213 Vietnamese construction companies, it finds that aligning EML in…
Puneet Kamboj, Raphael Apeaning, Mohamad Issa Hejazi
This paper comprehensively analyzes the concept of fairness in global net zero mitigation targets. It proposes a framework for equitable burden-sharing based on national emissions responsibility and capability, balancing climate justice wit…
Anu Agarwal, Amit Kanudia, Tarun Sharma
This paper models the future of energy transitions in India through integrated, multi-level decarbonization strategies from sector coupling to carbon neutrality. It provides insights for policy and planning.
Chie Sato, Hirokazu Kato, Feifan Xu +1
This study proposes a simplified method to estimate CO2 emission reductions from passenger transport due to compact city measures. It introduces a distance-band-based estimation framework that reduces data requirements while retaining spati…
Browse by Topic