Achieving sustainable development goals through a sharing economy: Empirical evidence from developing economies

Tu, Yu-Te; Aljumah, Ahmad Ibrahim; Nguyen, Sang V.; Cheng, Cheng-Feng; Tai, Tran Duc; Qiu, Ranfeng

doi:10.1016/j.jik.2022.100299

Cited by 20 publications

(9 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Huang [ 43 ] discussed the importance of bursting the barriers for the transition towards a sharing economy for achieving SDGs in ASEAN nations. A similar discussion using empirical evidence from developing countries can be found in the work by Tu et al [ 44 ]. Sharing economy benefits for SDGs was also discussed by Sadiq et al [ 45 ] in the context of the transportation industry in Vietnam.…”

Section: Introductionsupporting

confidence: 58%

ChatGPT: Literate or intelligent about UN sustainable development goals?

Raman,

Lathabai,

Mandal

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Generative AI tools, such as ChatGPT, are progressively transforming numerous sectors, demonstrating a capacity to impact human life dramatically. This research seeks to evaluate the UN Sustainable Development Goals (SDGs) literacy of ChatGPT, which is crucial for diverse stakeholders involved in SDG-related policies. Experimental outcomes from two widely used Sustainability Assessment tests–the UN SDG Fitness Test and Sustainability Literacy Test (SULITEST) ‐ suggest that ChatGPT exhibits high SDG literacy, yet its comprehensive SDG intelligence needs further exploration. The Fitness Test gauges eight vital competencies across introductory, intermediate, and advanced levels. Accurate mapping of these to the test questions is essential for partial evaluation of SDG intelligence. To assess SDG intelligence, the questions from both tests were mapped to 17 SDGs and eight cross-cutting SDG core competencies, but both test questionnaires were found to be insufficient. SULITEST could satisfactorily map only 5 out of 8 competencies, whereas the Fitness Test managed to map 6 out of 8. Regarding the coverage of the Fitness Test and SULITEST, their mapping to the 17 SDGs, both tests fell short. Most SDGs were underrepresented in both instruments, with certain SDGs not represented at all. Consequently, both tools proved ineffective in assessing SDG intelligence through SDG coverage. The study recommends future versions of ChatGPT to enhance competencies such as collaboration, critical thinking, systems thinking, and others to achieve the SDGs. It concludes that while AI models like ChatGPT hold considerable potential in sustainable development, their usage must be approached carefully, considering current limitations and ethical implications.

show abstract

Section: Introductionsupporting

confidence: 58%

ChatGPT: Literate or intelligent about UN sustainable development goals?

Raman,

Lathabai,

Mandal

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Research on the implementation of the 2030 Agenda is of increasing interest to researchers. The amount of literature in this area is growing rapidly [6][7][8][9][10][11][12][13][14][15]. The innovative approach taken by the authors is to estimate the time required to achieve the set sustainable development goals while maintaining the current pace of change.…”

Section: Literature Reviewmentioning

confidence: 99%

The COVID-19 Pandemic and the Implementation of Sustainable Development Goals: The EU Perspective

Brzyska,

Szamrej-Baran

2023

Sustainability

View full text Add to dashboard Cite

The 2030 Agenda, a global model for sustainable development, consists of 17 Sustainable Development Goals (SDGs) that the world is to fulfil by 2030. The achievement of the SDGs has been notably impacted by the COVID-19 pandemic. The objective of this article is to analyze and assess the progress of the European Union, as represented by selected indicators, towards the Sustainable Development Goals in the EU context and the impact of the COVID-19 pandemic. A blend of research methodologies, including desk research and analysis of secondary data from the Eurostat database, was employed in our research. Additionally, statistical methods were utilized to compare the SDG implementation before and after the onset of the COVID-19 pandemic. Even before the pandemic, the EU was making unequal progress toward the SDGs, with some areas needing more concentrated attention. COVID-19 has made it considerably harder for the EU and the rest of the world to accomplish the 2030 Agenda. The study assesses whether the pandemic caused a deviation from the previously set targets. The findings offer valuable insights that can be instrumental in shaping future policies and strategies aimed at attaining the SDGs.

show abstract

“…Numerous scholarly investigations have extensively examined the determinants of the SDGs across various regions worldwide (Tu et al, 2023;UN, 2015;Wu et al, 2022;Zhang et al, 2022).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Numerous scholarly investigations have extensively examined the determinants of the SDGs across various regions worldwide (Tu et al, 2023; UN, 2015; Wu et al, 2022; Zhang et al, 2022). Notably, these studies have accorded significant importance to the relationship between sustainable development and the income level of the analyzed countries or regions.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Falling behind: Evaluating projected sustainable development goals progress across varied income countries

Soto

2023

Sustainable Development

View full text Add to dashboard Cite

The primary aim of this work is to prognosticate and evaluate the trajectory pertaining to the realization of the 17 Sustainable Development Goals (SDGs) contingent upon the income levels prevalent within a diverse cohort of 349 countries. Employing Holt's forecast method, we classified SDGs in three bundles, namely higher needs, basic needs, and governance. Our analysis concludes that nations endowed with greater income levels exhibit a discernible amelioration in their SDGs indices, while countries with low and lower middle‐income strata manifest an alarming worsening of their trends. These empirical findings bear significant implications for policymakers ensconced within nations committed to the achievement of these goals, supranational institutions, non‐governmental organizations (NGOs), and scholars. The widening developmental gap urges for greater institutional attention from the international community before the situation further deteriorates. Tailored policies and strategic initiatives might effectively address the idiosyncratic challenges faced by these nations. Concurrently, fostering international cooperation and collaborative endeavors stand as potent prerequisites, substantively bolstering the concerted pursuit of sustainable development goals and enduring sustainability for the entirety of humanity.

show abstract

Achieving sustainable development goals through a sharing economy: Empirical evidence from developing economies

Cited by 20 publications

References 77 publications

ChatGPT: Literate or intelligent about UN sustainable development goals?

ChatGPT: Literate or intelligent about UN sustainable development goals?

The COVID-19 Pandemic and the Implementation of Sustainable Development Goals: The EU Perspective

Falling behind: Evaluating projected sustainable development goals progress across varied income countries

Contact Info

Product

Resources

About