Facilitating or Inhibiting: A Study on the Impact of Artificial Intelligence on Corporate Greenwashing

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2154 - 2154

Published: March 2, 2025

As a significant driving force behind the latest wave of technological innovation, artificial intelligence profoundly influences corporate greenwashing while advancing digital and intelligent transformation enterprises. This paper empirically examines impact AI technology on its mechanisms action using text analysis word frequency statistics. study considers references to in annual reports enterprises ESG scores these as samples. The research findings indicate that application can effectively curb occurrence behavior. influence suggest green innovation plays partial mediating role relationship between greenwashing, imitation pressure financial enhance inhibitory effect this Further reveals is particularly pronounced non-state-owned enterprises, large-scale within high-pollution industries. not only enhances existing literature how promote enterprise greening but also offers valuable insights into governments mitigate

Language: Английский

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Does artificial intelligence affect the ecological footprint? –Evidence from 30 provinces in China

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122458 - 122458

Published: Sept. 12, 2024

Language: Английский

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Opportunities and obstacles of blockchain use in pursuit of sustainable development goal 11: A systematic scoping review

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 112, P. 105620 - 105620

Published: June 24, 2024

Language: Английский

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Towards Sustainable Urban Growth: The Role of Horizontal Ecological Compensation in Fostering Inclusive and Resilient Cities

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Can horizontal ecological compensation (HEC) policies in China promote the development of more inclusive and resilient cities? This study explores impact HEC on urban growth, examining their role advancing greener, inclusive, cities aligned with global sustainability goals. Using panel data from 180 Yangtze Yellow River basins (2007–2022) an Inclusive Resilient City (IRC) index, we assess effect through a multi-period quasi-natural experiment. Our findings reveal that positively influence IRC, mainly industrial upgrading green innovation, particularly upper middle river basins. The results are robust, confirmed by parallel trend analysis, placebo tests, propensity score matching, trimming to account for endogeneity. enhances understanding its fostering sustainable, development, offering valuable insights future policy initiatives.

Language: Английский

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Analysing Land Use and Land Cover Dynamics (1972–2020) and Evaluating Drainage System Efficacy: A Case Study of Bangladesh Polders

Irrigation and Drainage, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

ABSTRACT In recent years, aquaculture has significantly expanded in tropical and subtropical developing countries. This expansion led to substantial economic, food security, environmental impacts. The southwestern region of the Ganges–Brahmaputra Basin faces severe waterlogging problems, largely because shrimp farming affects local livelihoods. study examines consequences land‐use changes polders Bangladesh by analysing 48 years Landsat imagery from 1972 2020. highlights a significant shift rice cultivation farming, leading more waterlogged areas fewer settlements poor drainage, freshwater scarcity, increased salinity. We developed drainage model for via MIKE11 software assess area's capacity found that current systems are insufficient, especially monsoon drainage. inadequacy encouraged toward farming. Our research aims shed light on economic challenges area, promoting sustainable management water resources. detailed insights this provide framework develop practical united strategies address issues minimize their varied impacts people economy region.

Language: Английский

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Urban Chatter: Exploring the potential of ChatGPT-like and generative AI in enhancing planning support

Cities, Journal Year: 2025, Volume and Issue: 158, P. 105701 - 105701

Published: Jan. 8, 2025

Language: Английский

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Unleashing the Power of Artificial Intelligence: A Game Changer for Urban Energy Efficiency in China

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106372 - 106372

Published: April 1, 2025

Language: Английский

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Google Earth Engine and artificial intelligence for SDGs

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 115 - 131

Published: Jan. 1, 2025

Language: Английский

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Artificial intelligence for climate resilience: advancing sustainable goals in SDGs 11 and 13 and its relationship to pandemics

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: Dec. 23, 2024

Language: Английский

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Land Surface Temperature Dynamics during COVID‐19 Lockdown in Diverse Climatic and Physiographic Zones—A Study of Indian Mega Cities

Transactions in GIS, Journal Year: 2024, Volume and Issue: 28(7), P. 2295 - 2308

Published: Aug. 16, 2024

ABSTRACT The COVID‐19 pandemic, which originated in China at the end of 2019, escalated into a global crisis by March 2020. To mitigate its spread, governments worldwide implemented strict lockdown measures. While these lockdowns had adverse social, economic, and health impacts, they also led to significant environmental improvements many regions. India's urban environment significantly improved during lockdown. This study investigates changes Land Surface Temperature (LST) across eight major Indian cities, each representing diverse climatic physiographic zones: Delhi, Dehradun, Lucknow, Kolkata, Bhopal, Bhubaneshwar, Mumbai, Hyderabad. It aims enhance understanding how sudden reductions anthropogenic activities influence temperatures. LST was computed for period April May 2020 compared with pre‐lockdown years 2018 2019 post‐lockdown year 2021, utilizing Landsat thermal data processed through mono‐window algorithm. results exhibit period. Cities like Lucknow experienced reduction 6°C, 5°C, 4°C, respectively, from periods. In contrast, cities Bhubaneswar, Hyderabad around 2°C–3°C. However, city Kolkata showed an increase 3°C These highlight substantial human on environments underline potential benefits reducing impacts improve well‐being.

Language: Английский

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