scholarly journals International Coordination and National Institutional Facilitating Mechanisms for Financial Technology Development, for the Sustainable Development Support

2020 ◽  
Vol 208 ◽  
pp. 03041
Author(s):  
Viktoriya Razletovskaia

The Fintech, as the progress in technology, transforms the financial and investment landscape, creating both opportunities and challenges for all participants, risks to the stability and integrity of the financial system. The dematerialization of payments introduces new participants and new products to the market, including non-financial entities. At the next stage of the Fintech development, the importance of artificial intelligence and neurotechnology increases. As the Fintech, the artificial intelligence and the neurotechnology cross national and international regulatory boundaries, the effective cross-sectoral and cross- domain coordination and the mixed financing for global financial investment strategies are critical both domestically and internationally. The particular importance gains the possibilities of resource-maneuvering in global investment strategies, and mechanisms - interoperability - coordination of various infrastructures, digital, financial, telecommunications, IT, government regulation, international cooperation. Due to the variety of such models, it is required to identify trends and promising areas of international coordination of fintech development [9]. What are the factors drawing the development back? What new models of national and international coordination of these technologies are most effective for achieving sustainable development goals?

2021 ◽  
Vol 13 (16) ◽  
pp. 9165
Author(s):  
Shin-Cheng Yeh ◽  
Ai-Wei Wu ◽  
Hui-Ching Yu ◽  
Homer C. Wu ◽  
Yi-Ping Kuo ◽  
...  

Artificial Intelligence (AI) will not just change our lives but bring about revolutionary transformation. AI can augment efficiencies of good and bad things and thus has been considered both an opportunity and risk for the sustainable development of humans. This study designed a survey to collect 1018 samples of educated people with access to the internet in Taiwan regarding their perceptions of AI and its connections to the Sustainable Development Goals (SDGs). The respondents showed high confidence in their AI knowledge. They had a very positive attitude toward AI but at the same time thought AI was risky. In general, people in Taiwan could be “rational optimists” regarding AI. We also examined how people think of the linkages between AI and the SDGs and found that SDG 4, SDG 9, and SDG 3 had the highest “synergy” and lowest rates of “trade-off”. Significant differences for some key questions were also identified concerning the demographic variables such as gender, age, education, and college major. According to the data analysis, education played as the base to construct a sustainable AI-aided town with an embedded innovative circular economy and high-quality water and energy services, making the residents live healthier lives. The findings of this study can be referred to when the perceptions of AI and sustainability issues are of interest for an emerging high-tech economy such as Taiwan and other Asian countries.


2021 ◽  
Vol 13 (11) ◽  
pp. 5788
Author(s):  
David Mhlanga

Artificial intelligence in the fourth industrial revolution is beginning to live up to its promises of delivering real value necessitated by the availability of relevant data, computational ability, and algorithms. Therefore, this study sought to investigate the influence of artificial intelligence on the attainment of Sustainable Development Goals with a direct focus on poverty reduction, goal one, industry, innovation, and infrastructure development goal 9, in emerging economies. Using content analysis, the result pointed to the fact that artificial intelligence has a strong influence on the attainment of Sustainable Development Goals particularly on poverty reduction, improvement of the certainty and reliability of infrastructure like transport making economic growth and development possible in emerging economies. The results revealed that Artificial intelligence is making poverty reduction possible through improving the collection of poverty-related data through poverty maps, revolutionizing agriculture education and the finance sector through financial inclusion. The study also discovered that AI is also assisting a lot in education, and the financial sector allowing the previously excluded individuals to be able to participate in the mainstream economy. Therefore, it is important that governments in emerging economies need to invest more in the use of AI and increase the research related to it so that the Sustainable Development Goals (SDGs) related to innovation, infrastructure development, poverty reduction are attained.


2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Hoe-Han Goh ◽  
Ricardo Vinuesa

AbstractArtificial intelligence is producing a revolution with increasing impacts on the people, planet, and prosperity. This perspective illustrates some of the AI applications that can accelerate the achievement of the United Nations Sustainable Development Goals (SDGs) and highlights some of the considerations that could hinder the efforts towards them. In this context, we strongly support the development of an 18thSDG on digital technologies. This emphasizes the importance of establishing standard AI guidelines and regulations for the beneficial applications of AI. Such regulations should focus on concrete applications of AI, rather than generally on AI technology, to facilitate both AI development and enforceability of legal implications.


2021 ◽  
Vol 13 (24) ◽  
pp. 13669
Author(s):  
Angélica Pigola ◽  
Priscila Rezende da Costa ◽  
Luísa Cagica Carvalho ◽  
Luciano Ferreira da Silva ◽  
Cláudia Terezinha Kniess ◽  
...  

Innovativeness is a characteristic of digital technologies (DT), and they have been assuming an important role in economic, social, and environmental dimensions. Therefore, DT are relevant contributors for sustainable development goal (SDG) achievements. This study aims to compare the preference for artificial intelligence-driven digital technologies (AI-Driven DT) to achieve SDGs in Brazil and Portugal. An independent sample t-test analysis and Levene test are performed to identify potential artificial intelligence-driven digital technologies (AI-Driven DT) as favorable facilitators for SDG achievements in Brazil and Portugal. Based on the findings, a broader analysis is provided, to (i) indicate potential favorable SDGs, (ii) discuss differences between the countries in AI-Driven DT preferences in each SDG, and (iii) make recommendations for potential technologies that could receive more attention and investments in both regions to make emergent digital technologies succeed, with a particular emphasis on cleaner production. The analysis is organized into three dimensions: economic, social, and environment. At the end, a closing discussion is provided about the key guidelines and prospects that could be adopted to keep a strong and positive shift of AI-Driven DT developments and applications towards fully supporting the attainment of the SDG of United Nations Organization (ONU) Agenda 2030.


2021 ◽  
Author(s):  
Miguel A Del-Pino ◽  
Arezo Bodaghi ◽  
Pierre Watine ◽  
Ketra Schmitt

Twitter data related to poverty and basic income was collected for 24 days in 2019, and then was cleaned and prepared for natural language processing. A 7 % subset of the data was manually labeled for sentiment analysis in order to inform the artificial intelligence (AI), which was trained and verified on this subset. We present the results for both the 7 % verification sample and the entire database. This analysis of public opinion on poverty is situated within the Sustainable Development Goals and the support for poverty reduction policies.


Author(s):  
Oksana Kirillova ◽  
Elena Zhukova

Achieving the sustainable development goals laid down in the national projects of the Russian Federation requires the formation of new strategic guidelines for companies. They can be most succinctly represented by the concept of ESG factors (environmental, social, managerial), which in turn are closely related to the concept of sustainable and responsible investment, which directly addresses financial issues in the light of global risks of climate degradation, ecology, and corporate governance. Revealing the essence, role and place of strategic management based on ESG factors, the authors justify the necessity and possibility of shifting the emphasis of the financial investment market towards responsible investment. The article discusses its main elements, the theory of the relationship of ESG factors with the financial performance of firms, driving the interests of investors, and provides approaches to investment that contribute to sustainable development in various ways.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Ricardo Vinuesa ◽  
Hossein Azizpour ◽  
Iolanda Leite ◽  
Madeline Balaam ◽  
Virginia Dignum ◽  
...  

2020 ◽  
Vol 208 ◽  
pp. 04007
Author(s):  
Elena Shishkina ◽  
Nadezhda Surnina

The article dwells on formation features of the priorities and parameters for assessing the sustainable development of spatial infrastructure systems in the region. The priorities of the stability of spatial infrastructural systems have been established - the ability of stable functioning in conditions of external influences, adaptability to them. The strategic development goals correspondence study of spatial infrastructure systems to the goals and objectives of sustainable development was carried out. The absence of consistency and complexity in the formation of the foundations of sustainable development in strategies, programs and projects for the development of spatial infrastructure systems of the Russian Federation was revealed. The indicators of sustainable development reflecting various strategic planning of spatial infrastructure systems were analyzed. It has been determined that the parameters for achieving the Sustainable Development Goals in the context of the constituent entities of the Russian Federation are currently not being developed, and indicators of the availability and availability of infrastructure are used as target parameters, which can reflect the degree of satisfaction need for it to solve the problems of socio-economic development of the territories.


Sign in / Sign up

Export Citation Format

Share Document