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 6041–6060 of 27606 papers
Mahieux L.
This paper analyzes the costs and benefits of measuring greenhouse gas (GHG) emissions, highlighting the economic implications for firms and policymakers. By weighing measurement costs against reduction benefits, it offers insights for effe…
Chen L.
This review comprehensively examines strategies for achieving a carbon-neutral society, synthesizing technological, policy, and social dimensions. It compares key pathways such as renewable energy transition, energy efficiency, and carbon r…
Zhao Jing, Wang Yongyu, Shi Xiaoying
This study measures the per capita carbon footprint of 30 Chinese provinces from 2009 to 2022 using an NPP model and analyzes its spatiotemporal evolution and influencing factors with the MGWR model. It reveals regional disparities and spat…
R. Setiani, Lukman Hanif Arbi
This study analyzes the effect of ESG risk ratings on stock price synchronicity for IDX80-listed firms (2021-2025) using panel data and Sustainalytics ratings. Findings show ESG ratings do not significantly affect synchronicity, implying ES…
Andini Meiliana Putri, Sri Wahyuni, Suryo Budi Santoso +1
Analyzing Indonesian state-owned banks (2016-2024), this study finds that ESG disclosure score and operational efficiency (BOPO) do not significantly affect profitability (ROA), while credit risk (NPL) has a significant negative impact. Usi…
Roisah Khoiriyah, Endang Dwi Wahyuningsih
This study analyzes the impact of ESG disclosure and green accounting on firm value using panel data from 61 Indonesian energy companies (2022-2024). Social and governance disclosure significantly increase firm value, while environmental di…
Muhammad Sumair, T. Rashid, Muhammad Idrees +3
This review examines decarbonization of Pakistan's cement industry, covering emissions profile, mitigation levers (energy efficiency, alternative fuels, CCUS), policy frameworks, and implementation challenges. It offers insights into transi…
Daiana Ivis Suárez Ordaz, Alejandro Fernández Gil, Yunesky Masip Macía +1
This paper assesses potential locations for green hydrogen production plants in Arica, Chile, using composite indicators that integrate renewable energy resources, infrastructure, and environmental/social conditions. It identifies promising…
Ahmad I. Dawahdeh, Wateen ALShorman, Moh’d A. Al-Nimr
This paper evaluates the techno-economic feasibility of a solar-powered system integrated with heat recovery and green hydrogen storage for continuous power generation. It assesses cost and efficiency, offering insights into stable renewabl…
Eka Anugerah Putra, Amrie Firmansyah
This study analyzes the impact of ESG disclosure on firm value (Tobin's Q) using panel data from 31 Indonesian consumer goods firms (2022-2025). Using a GRI-aligned disclosure index, it finds no significant effect of ESG on firm value, and …
Jinliang Wang, Xiang Ma, Z. Ding
This paper proposes a method using large language models (LLMs) to automatically extract and analyze ESG disclosure information from corporate sustainability reports. Compared to traditional manual analysis, it enables efficient and compreh…
Jiawen Liu, Chungeng He
This paper proposes an optimal hybrid framework for carbon price prediction using time series analysis. Carbon prices are key economic signals for emission reduction, and accurate prediction supports corporate risk management and policy eva…
S. Bhaktha B, B. Harish, Anandita Tiwari +2
This paper proposes a rare-earth-free external-rotor multi-tooth SRM for electric two-wheelers. Through FEA and drive-cycle optimization, it achieves 7.11% higher average torque, 24.6% lower torque ripple, and 5.78% lower losses. Prototype …
S. T. Zhang, Sinan Xia, N. Liu
This study proposes a 'source-storage-load-production' coupled model for smart agriculture park microgrid planning, integrating capacity selection, grid connection, and agricultural loads. Based on 2024 field data from the North China Plain…
Cunpu Li, Chenbo Liu, Pu Wang
This study constructs a firm-specific climate policy uncertainty exposure by integrating China's aggregate index with annual report text. Using panel data of A-share listed firms (2010-2023) and partial-linear double/debiased machine learni…
Xilin Zhou, Shuangjiang Peng, Zhengyuan XU +1
This study proposes an integrated WRF-based framework using PLUS-predicted Local Climate Zones to assess roof retrofit cooling potential in Wuhan under synergistic climate and urbanization impacts. It offers insights for urban heat island m…
Ying Zhou, Shiyu Lin, 泽仁措 +5
This study calculates agricultural GHG (AGHG) emissions and efficiency in Chengdu using the IPCC coefficient method and Super-SBM-Undesired model, analyzing spatiotemporal evolution and influencing factors via center-of-gravity shift, kerne…
Yuanjun Li, Zhi Li, Guoxiang Li
This paper analyzes how climate transition pressure affects enterprise risk governance, focusing on the role of digital capability. Likely using Chinese firm data, it empirically examines the impact of climate-related regulations and market…
Katarzyna Wójtowicz, Krzysztof Kluza, Beata Zofia Filipiak +1
This study analyzes ESG reporting readiness among Polish municipally owned companies (MOCs) based on a survey of 226 enterprises. It finds substantial gaps: only 14% have current or planned non-financial or EU Taxonomy reporting. Indirect E…
Kuang-Wei Peng, Shin-Cheng Yeh
This dataset supplements a manuscript analyzing how geopolitical risk narratives about TSMC diverge between its sustainability reports and Taiwanese news media (2018-2024). It includes a five-category risk keyword dictionary, automated freq…
Browse by Topic