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 9781–9800 of 33991 papers
K. Strang, N. Vajjhala
This single-case study analyzes ESG compliance measurement in financial software engineering projects as a socio-technical system. Applying an open-source ML workflow to 207 archival records, it finds near-unity correlations between social/…
Fei Wu
This study empirically examines how ESG rating disparities affect corporate patient capital using a two-way fixed effects model. Findings show that rating disparities significantly increase patient capital, especially in non-state-owned and…
Shaoheng Chen
This paper examines the application of nudge theory in environmental policy from an ethical perspective, identifying five core ethical concerns: autonomy, transparency, context-dependency, long-term effectiveness, and fairness. It proposes …
L. S, Safdar D, Pooja V +1
This paper examines how greenwashing perception deters retail ESG investment in Maharashtra, India, and whether BRSR awareness moderates this effect. Based on secondary data, it finds that greenwashing fear reduces investment intention and …
Chinzorig Chuluun, O. Gotov
This systematic review maps the intellectual structure of corporate governance and ESG research from 1976 to 2025 using PRISMA and bibliometric methods. It finds agency theory dominant but multi-theory and ESG-oriented frameworks expanding,…
Tetiana Shevchenko, Julian Kirchherr, Meisam Ranjbari +2
This study proposes a strategic framework to assess the circularity potential of post-disaster building stock, categorizing determinants into Impact, Perception, State, Need, and Feasibility, and distinguishing theoretical from accessible p…
Kavitha Vipulananda
This paper proposes cable-driven parallel robots (CDPRs) for rapid post-disaster housing construction, addressing the limitations of conventional methods. It reviews existing CDPR systems and identifies their suitability for disaster contex…
Tuğba Erzurum, Önder Halis Bettemir
This study analyzes the uncertainty in embodied carbon (EC) and energy (EE) of buildings when using different brands of Environmental Product Declarations (EPDs). Monte Carlo simulations on residential and university buildings with 287 EPDs…
Jin Liu, Yun Sang, Jiangtao Gao +2
Using panel data on Chinese A-share firms from 2013-2023, this paper examines how digital financial inclusion (DFI) affects corporate CO2 emissions. It finds a significant negative correlation, with effects pronounced in eastern China, larg…
L. Lin, X. Yao, J. L. Liang
This paper proposes a method using an integrated Knowledge Graph (KG) and NLP to quantify green finance policy impacts by integrating policy, market, ESG, and carbon data. Validation with DID on China's green finance pilot zones (2016-2023)…
T. X. Wang
This study examines whether digital finance promotes corporate financialization in China's real sector, using A-share listed non-financial firms from 2011-2023. It finds that digital finance significantly increases financial asset allocatio…
Hongjun Jing, Xiuli Li
Using panel data from Chinese A-share listed firms (2013-2023), this study employs multi-time DID and Dual Machine Learning to show that green bond issuance significantly improves corporate green technology efficiency, with weaker financing…
X. L. Wang, X. Xue, Y. Lin +1
Proposes a Graphormer-TCN fusion model to assess market operation of new energy settlement mechanisms in industrial parks. Models transmission topology as a weighted graph, integrating spatial and temporal features to score market operation…
S. Mahmud, Y. Teoh, Heoy Geok How +6
This review focuses on green hydrogen production, especially water electrolysis, proposing a comparative framework linking catalyst durability, operating conditions, and LCOH. It reports efficiency gains from improved catalysts and renewabl…
V. Lystianingrum, Idraki Sariyan
This study assesses the techno-economic feasibility of PV-based green hydrogen for a 2,000 MTPD ammonia plant in Aceh, Indonesia. Comparing off-grid and on-grid (with RECs) configurations via HOMER Pro, the on-grid system cuts LCOH by 40%, …
Xinyi Wang
This conceptual paper critically examines generative AI in ESG reporting. It argues that while generative AI enhances efficiency by reducing cost and time in processing text-intensive data and drafting disclosures, it introduces challenges …
Kefan Yu
This paper analyzes ESG disclosure in the luxury industry through a case study of Kering Group, set against the backdrop of the EU CSRD. Using legitimacy and stakeholder theory, the authors build a 48-indicator ESG disclosure scoring system…
Lenggo Geni Katlin Jambak, Dhisti Khairunnisa Fahlin, Utama Ladunni Lubis
This review analyzes food waste behavior and city-scale management practices in Singapore, South Korea, Denmark, and Norway, and examines commercial waste composition in Bandung and composting impacts in Probolinggo. It concludes that sourc…
Wallamkupar Dkhar, B. Lyngdoh, Paramjeet Kumar
This systematic review integrates consumer perception research with corporate net-zero practices, identifying environmental knowledge, awareness, and concern as key antecedents of favorable green marketing responses, while price sensitivity…
Nugroho Nugroho, Rahmatul Husni
This longitudinal critical discourse analysis compares how National Oil Companies (NOCs) and International Oil Companies (IOCs) responded to evolving climate disclosure regulations from the Paris Agreement to EU Omnibus I (2016-2026). Analy…
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