Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 210, P. 123904 - 123904
Published: Nov. 23, 2024
Language: Английский
Sustainable Development, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 27, 2024
Abstract This study explores the impact of artificial intelligence (AI) on sustainable development across 51 countries during urbanization. Using panel data, examines AI's effects through three dimensions: R&D innovation, infrastructure, and market advantage. The results demonstrate that AI promotes development, with innovation exerting strongest influence, followed by whereas advantage has smallest impact. Additionally, uncovers regional heterogeneity in impacts. In upper middle levels (60%–70% quantiles), promoting effect is strongest. Moreover, urbanization plays a threshold role relationship between development. When below threshold, infrastructure promote inhibit it. Conversely, when exceeds this inhibits becomes insignificant, begin to recommends governments should consider level crafting policies utilizing AI.
Language: Английский
Citations
29
Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 209, P. 123821 - 123821
Published: Oct. 13, 2024
Language: Английский
Citations
18
Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 299 - 319
Published: July 26, 2024
The biodiversity of the oceans provides us with key ecosystem services, however marine life is facing a multitude threats like pollution, climate change and over-exploitation. Action: Monitoring conservation strategies need to be put in place save these fragile ecosystems. focus this chapter on monitoring real-time using remote sensing artificial intelligence (AI). Advanced systems (such as TOPAZ system) use an ensemble Kalman filter assimilate satellite-measured sea-surface temperatures, heights, in-situ measurements from Argo profiling floats XBTs. These render three-dimensional (3D) comprehensive state picture ocean, which comprises temperature fields current structures rather than just projections. This focuses melding data for biodiversity.
Language: Английский
Citations
11
Frontiers in Environmental Economics, Journal Year: 2025, Volume and Issue: 3
Published: Jan. 9, 2025
Artificial intelligence (AI) plays a pivotal role in the development of green economy. This paper examines impact artificial on economic efficiency (GEE) using panel data from 30 provinces China spanning 2011–2020. A multiple linear regression model, alongside various endogeneity and robustness tests, is applied to ensure reliable findings. The empirical results indicate that AI significantly enhances GEE. However, marginal effect GEE influenced by different governance approaches. In terms policy governance, excessive market-based environmental regulation (MER) diminishes AI, while stronger administrative-command regulations (CER) informal (IER) amplify it. Regarding technological substantive innovations (SUG) reduce AI's effect, whereas symbolic (SYG) may increase Notably, threshold SUG surpasses SYG. legal both administrative judicial intellectual property protections though protection (AIP) exhibits more significant than (JIP). These findings offer practical insights for optimizing strategies maximize promoting highlight need balanced sustainable development. Policymakers should tailor encourage regional collaboration harness spatial spillover effects. Enterprises can leverage AI-driven align growth with ecological goals, fostering coordinated
Language: Английский
Citations
1
Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 259 - 282
Published: Aug. 27, 2024
Land ecosystems provide a range of products, such as food, energy, and construction materials, in addition to essential services like carbon sequestration, soil quality maintenance, habitat supply for biodiversity, water flow management, erosion control. To maintain the diversity life on land, targeted efforts that preserve, restore, promote preservation sustainable use terrestrial other are required. Preventing loss successfully halting desertification, stopping reversing land degradation, managing forests sustainably main objectives SDG Goal 15. These need be protected order properly reduce adapt climate change. This chapter examines potential problems related Sustainable Development 15 (Life Land) by examining connections between environment, legal frameworks, biodiversity conservation.
Language: Английский
Citations
5
Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9144 - 9144
Published: Oct. 22, 2024
The integration of artificial intelligence (AI) into renewable energy and sustainability represents a transformative approach toward achieving sustainable development goals (SDGs), especially SDG 7 (Affordable Clean Energy), 9 (Industry, Innovation, Infrastructure), 13 (Climate Action). This study utilized the PRISMA framework to conduct systematic review, focusing on role AI in development. research Scopus’s curated area, which employs text mining refine concepts unique keywords. Further refinement via All Science Journals Classification system SDG-mapping filters narrowed focus publications relevant SDGs. By employing BERTopic modeling approach, our identifies major topics, such as enhancing wind speed forecasts, performance analysis fuel cells, management elective vehicles, solar irradiance prediction, optimizing biofuel production, improving efficiency buildings. AI-driven models offer promising solutions address dynamic challenges energy. Insights from academia-industry collaborations indicate that partnerships significantly accelerate sustainable-energy transitions, with storage, grid management, renewable-energy forecasting. A global consensus critical investing technology-driven for was underscored by relationship between funding data R&D spending patterns. serves resource practitioners harness technologies energy, where example, AI’s accurate predictions can increase farm efficiency, highlighting necessity innovation collaboration
Language: Английский
Citations
5
Energy Economics, Journal Year: 2024, Volume and Issue: unknown, P. 108011 - 108011
Published: Oct. 1, 2024
Language: Английский
Citations
5
Sustainable Development, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 6, 2024
ABSTRACT Achieving sustainable development (SD) requires a holistic approach that bridges multiple disciplines. Although the current literature recognizes critical role of interdisciplinary collaboration in comprehensively addressing global challenges across fields such as economics, business, environmental science, and social justice, there is still significant gap understanding how specific contributions from each discipline can be effectively combined to strengthen implementation Sustainable Development Goals (SDGs). In this paper, we examine interconnected nature SDGs achieving them. Addressing complex poverty, inequality, climate change, degradation diverse fields, including biology, ecology, toxicology, chemistry, physics, mechanics, engineering, architecture, urban planning. The purpose paper twofold (i) explore need for achieve them, (ii) highlight different disciplines enhance our ability address associated with SD. We emphasize integration principles innovative approaches essential fostering collaboration. Our findings suggest inclusive, strategies are SD underscore urgent collective action sectors SDGs, resilience, drive innovation Adopting efforts creates pathways innovative, impacts support healthier planet resilient future all.
Language: Английский
Citations
5
Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 206, P. 123466 - 123466
Published: July 2, 2024
The internet of value (IoV) is predicted to have the potential for disruptive changes in monetary values, goods, and information sharing. Thus, it could fundamentally affect organizations, business models, operations, employees. However, concept definition IoV its all dimensions triple bottom line sustainability remain opaque. In response, we conducted eleven expert interviews develop a comprehensive understanding IoV, including definition, implications, prerequisites, risks, emphasizing potentials. findings highlight different perspectives on synergies technologies such as blockchain, things, artificial intelligence. Further, digital platforms, tokenization, smart contracts are analyzed holistic framework. doing so, aim critically evaluate impacts researchers practitioners. particular, iterative refinement interplay technologies, concepts, barriers support common an facilitate goal-oriented development. These further underpinned by research avenues developed induce investigations across fields.
Language: Английский
Citations
4
Economies, Journal Year: 2024, Volume and Issue: 12(8), P. 190 - 190
Published: July 23, 2024
Although the coronavirus pandemic has now faded into background, global crisis caused by COVID-19 had most devastating impacts worldwide. Given potential relapse of such unexpected and uncertain events, it is vital to specify patterns thereof develop proactive measures for countries acquire an advanced readiness deal with related incidents. The infected faced increase in business bankruptcies, unemployment inflation rates, low production volumes, a decline Gross Domestic Product (GDP). To withstand socioeconomic consequences, employ number measures, innovation development acceleration being one. This paper aims assess dependency GDP decrease rates on country-level growth according Global Innovation Index (GII) pillars as institutions, human capital research, infrastructure, market sophistication, knowledge technology outputs, creative outputs. conducted research analysis covered period from 2019 2022 based data GII pillar level economic performance indicators 20 five models. Descriptive comparative statistics well correlation regression were used prove be key driver increasing reducing inflation. value, special attention should paid institutions while infrastructure are reduce rates.
Language: Английский
Citations
4