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 5601–5620 of 32129 papers
Qiyuan Fan, Jiajun Liu, Wenwen Yu
This paper examines how green supply chain pressure from key customers affects firm productivity using Chinese A-share listed firms from 2014-2024. It constructs a text-based index from MD&A disclosures and finds that pressure boosts produc…
R.Kaladevi, V.Umarani, V. N +1
This study builds an ML and explainable AI system to assess green loan eligibility. Using synthetic data, multiple models were evaluated, with Gradient Boosting achieving high accuracy. SHAP analysis identified credit score and energy effic…
V. Alkema
This paper systematically categorizes internal and external factors ensuring corporate development in agricultural enterprises amid market instability, digital transformation, climate challenges, military risks, and sustainability demands. …
Huilu Jiang, He-Liang Zhu, Zichen Xu +1
This paper examines the impact of China's green factory certification on corporate digital-green collaborative transformation using panel data of A-share listed firms from 2012-2022 and a multi-period DID model. Certification significantly …
Volodymyr A. Kolodiychuk, Mykhaylo B. Kurtyak
This theoretical paper examines how CSR enhances the resilience of corporate governance in Ukrainian agroholdings under wartime logistics disruptions. It identifies four channels: human capital, stakeholder engagement, ESG practices, and re…
Yuyao Zhao, Yating Zeng, Wen-Dai Lv
Using panel data from Chinese A-share listed firms in high-risk industries (2012-2024), this study shows that safety investment significantly improves total factor productivity (TFP). The effect operates through strengthening organizational…
Zhen Wang
This study empirically examines how China's Fair Competition Review System (FCRS) drives corporate ESG behavior within a new institutional economics framework. FCRS reduces administrative monopolies, enhancing market mechanisms, and signifi…
Yucheng Li
Using Chinese A-share firms (2015-2022), this study finds that ESG rating discrepancies undermine the persistence of corporate green innovation. The effect operates through financing constraints and heightened business risk, and is stronger…
Zixi Xu
This study empirically shows that firms with better ESG performance engage in significantly less tax avoidance. The mechanism is that strong ESG performance eases financing constraints, reducing the need for tax avoidance. The effect is str…
Duan Wang, Yang Zhou, Byungjun Yu
Using Chinese manufacturing panel data, this study finds greenwashing contagion through interlocking directorates, moderated by financing constraints. Firms with fewer constraints are more susceptible, especially in marketized regions and h…
K. Oyediji
This paper proposes a conceptual framework for capital allocation and portfolio optimization in infrastructure and energy finance, integrating financial theory, risk management, and sustainability principles. It addresses climate transition…
Yukun Sang, Kannan Loganathan, Lu Lin
Using China's AI Pilot Zone policy as a quasi-natural experiment, this study employs a multi-period DID approach on listed firms (2014-2024) to show the policy significantly improves corporate sustainable development performance (SDP). Dyna…
Shuocheng Li
Using a multi-period DID model on Chinese A-share listed firms (2014-2024), this study finds that green bond issuance significantly increases green patent applications, with stronger effects under robust intellectual property protection. He…
Suganthi Pais
This study quantitatively examines the impact of AI-powered FinTech innovations on Circular Economy Transition (CET), with Sustainable Consumption Behavior (SCB) as a mediator. Using SEM on data from 384 respondents, it identifies AI capabi…
Li Zhang, Jinsong Deng
This study integrates geographical detector and machine learning models to analyze carbon emission scenarios in China's thermal power sector. It identifies key regional drivers and provides policy insights for emission reduction, exemplifyi…
Haodong Li, Wenzhu Liao, Youning Qian
This paper proposes a stochastic optimization approach for designing sustainable closed-loop supply chain networks for electric vehicle batteries. It balances cost and environmental impact under uncertainty, contributing to resource circula…
Xiaojing Lin, Xin Sun, Sarah Féron +9
This study evaluates utility-scale solar and off-grid systems with battery and hydrogen storage across 184 districts in West Africa under 13 climate scenarios. Solar electricity costs range from $0.100 to $0.409/kWh, with Liberia and Sierra…
Yunmeng Zhao, Chiyuan Miao
This study uses random forests and SHAP to analyze the impact of climate variability on global maize yield from 1982-2016. Climate variability explains 23-45% of yield variability across climate zones, increasingly offsetting technological …
Aitong Li, Gang Zhao
This paper analyzes the role of nested learning and subsystem alignment in governing socio-technical transitions, using China's nuclear energy development as a case study. It examines how policy learning and institutional coordination facil…
Qingzhou Lv, Hui Yang, Jia Wang +7
This study develops a prior-knowledge-constrained attention U-Net that integrates land-use-specific carbon density to estimate aboveground carbon storage (AGC) across China at 1 km resolution from 2000 to 2020. The model achieves 75.97% acc…
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