Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting

Nahar, Sharmin

doi:10.1016/j.techfore.2023.123203

Cited by 39 publications

(1 citation statement)

References 75 publications

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“…By analyzing the state's financial statements, policymakers identified renewable energy, sustainable agriculture, and digital infrastructure as priority areas for investment. (Nahar, 2024) Subsequent initiatives to incentivize private sector participation, enhance regulatory frameworks, and mobilize funding resulted in significant advancements towards achieving SDGs related to clean energy, food security, and digital inclusion. As a result, ASEAN countries experienced robust economic growth, job creation, and improved living standards, demonstrating the transformative potential of strategic resource allocation informed by idiosyncratic risk analysis.…”

Section: Impact On Economic Growthmentioning

confidence: 99%

Leveraging Idiosyncratic Risk to Support Sustainable Development Goals (Sdgs) and Its Impact on Economic Growth at Asean Countries

Asri,

Tunjungsari,

Tongli

2024

ijaeb

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This study investigates the dynamics between economic growth and key determinants, Sustainable Development Goals (SDGs) related to poverty reduction (SDG 1) and affordable clean energy (SDG 7), as well as Idiosyncratic Risk, in ASEAN countries. Utilizing regression analysis, the research uncovers intriguing insights into these relationships. The findings reveal a significant positive association between Idiosyncratic Risk and economic growth, indicating that higher levels of idiosyncratic risk are linked with greater economic activity and innovation. However, the analysis suggests that SDG 1 (No Poverty) initiatives do not directly impact economic growth within the model's framework, highlighting the need for further exploration of indirect effects. Additionally, the promotion of SDG 7 (Affordable Clean Energy) exhibits a statistically significant but negative relationship with economic growth, possibly due to initial investments in clean energy infrastructure. These findings underscore the complex interplay between sustainable development goals, idiosyncratic risk, and economic growth in the ASEAN region, offering valuable insights for policymakers and stakeholders aiming to foster inclusive and sustainable economic development.

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Section: Impact On Economic Growthmentioning

confidence: 99%

Leveraging Idiosyncratic Risk to Support Sustainable Development Goals (Sdgs) and Its Impact on Economic Growth at Asean Countries

Asri,

Tunjungsari,

Tongli

2024

ijaeb

View full text Add to dashboard Cite

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Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage

Wang,

Zhang,

2024

Sustainable Development

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This study explores the impact of artificial intelligence (AI) on sustainable development across 51 countries during urbanization. Using panel data, the study examines AI's effects on sustainable development through three dimensions: R&D innovation, infrastructure, and market advantage. The results demonstrate that AI promotes sustainable development, with AI R&D innovation exerting the strongest influence, followed by AI infrastructure, whereas AI market advantage has the smallest impact. Additionally, the study uncovers regional heterogeneity in AI's impacts. In countries with upper middle sustainable development levels (60%–70% quantiles), AI's promoting effect is the strongest. Moreover, urbanization plays a threshold role in the relationship between AI and sustainable development. When urbanization is below the threshold, AI infrastructure and R&D innovation promote sustainable development, whereas AI market advantage inhibit it. Conversely, when urbanization exceeds this threshold, AI infrastructure inhibits sustainable development, the impact of AI R&D innovation becomes insignificant, and AI market advantage begin to promote sustainable development. This study recommends governments should consider the level of urbanization and sustainable development when crafting sustainable development policies utilizing AI.

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Enhancing Sustainable Development Through Interdisciplinary Collaboration: Insights From Diverse Fields

Vaverková,

Polak,

Kurcjusz

et al. 2024

Sustainable Development

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Achieving sustainable development (SD) requires a holistic approach that bridges multiple disciplines. Although the current literature recognizes the critical role of interdisciplinary collaboration in comprehensively addressing global challenges across fields such as economics, business, environmental science, and social justice, there is still a significant gap in understanding how specific contributions from each discipline can be effectively combined to strengthen the implementation of the Sustainable Development Goals (SDGs). In this paper, we examine the interconnected nature of the SDGs and the critical role of interdisciplinary collaboration in achieving them. Addressing complex challenges such as poverty, inequality, climate change, and environmental degradation requires contributions from diverse fields, including biology, ecology, toxicology, chemistry, physics, mechanics, environmental engineering, architecture, and urban planning. The purpose of this paper is twofold (i) to explore the interconnected nature of the SDGs and the need for interdisciplinary collaboration to achieve them, and (ii) to highlight how contributions from different disciplines can enhance our ability to address the complex challenges associated with SD. We emphasize the integration of sustainable principles and innovative approaches as essential to fostering collaboration. Our findings suggest that inclusive, interdisciplinary strategies are critical for SD and underscore the urgent need for collective action across sectors to achieve the SDGs, strengthen global resilience, and drive innovation in SD. Adopting interdisciplinary efforts creates pathways for innovative, inclusive, and sustainable impacts that support a healthier planet and a resilient future for all.

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Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting

Cited by 39 publications

References 75 publications

Leveraging Idiosyncratic Risk to Support Sustainable Development Goals (Sdgs) and Its Impact on Economic Growth at Asean Countries

Leveraging Idiosyncratic Risk to Support Sustainable Development Goals (Sdgs) and Its Impact on Economic Growth at Asean Countries

Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage

Enhancing Sustainable Development Through Interdisciplinary Collaboration: Insights From Diverse Fields

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