Meta-analysis of the literature related to SDG 3 and its investment
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Author(s)Inna MakarenkoLink to ORCID Index: https://orcid.org/0000-0001-7326-5374
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Alex PlastunLink to Linkedin: https://www.linkedin.com/pub/plastun-alexey/57/7bb/444/Link to ORCID Index: https://orcid.org/0000-0001-8208-7135
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Mario SitumLink to ORCID Index: https://orcid.org/0000-0002-4535-2240
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Yuliia SerpeninovaLink to ORCID Index: https://orcid.org/0000-0002-4448-3484
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Giuseppe Sorrentino
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DOIhttp://dx.doi.org/10.21511/pmf.10(1).2021.10
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Article InfoVolume 10 2021, Issue #1, pp. 119-137
- Cited by
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151 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
2020 revealed the vulnerability of the healthcare systems in most countries. It also highlighted their failure to generate serious progress in the fulfillment of Sustainable Development Goal 3 (SDG 3): Ensure healthy lives and promote welfare for all at all ages. One of the key problems inhibiting its progress is the lack of financial resources. Based on a comprehensive meta-analysis of the literature related to SDG 3 and its investment, it aims to demonstrate that lack of appropriate academic support is a part of the failure to generate serious progress in the fulfillment of SDG 3. To do this academic literature published in the period 2010–2019 is analyzed. SciVal Elsevier, VosViewer, and Google Trends tools are applied for analysis. The results show that there is a significant interest in the academic circles on SDG 3 alone. However, this interest is concentrated toward its medical aspects while economic aspects, including investment, are poorly represented. This study shows that the reason for the current investment gap in SDG 3 is the lack of academic support to provide a theoretical, methodological, and analytical framework for tackling the financing problem for SDG 3.
- Keywords
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JEL Classification (Paper profile tab)I18, Q01, H87, C42
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References57
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Tables7
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Figures11
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- Figure 1. Results of the analysis of keyphrases for “SDG 3: good health and well-being” from 2015 to 2020
- Figure 2. Newly emerged topics for SDG 3 in 2021
- Figure 3. Bibliometric map of the publications concerning “SDG 3 and investment” and “SDG 3 and responsible investment” by keywords
- Figure 4. Bibliometric map of publications concerning “SDG 3 and investment” and “SDG 3 and responsible investment” by authors
- Figure 5. Internet queries concerning “SDG 3,” “SDG 3 and investment,” “SDG 3 and responsible investment,” and “responsible investment” in 2010–2021
- Figure 6. Ngram concerning “SDG 3 and investment” in 1960–2019
- Figure 7. Ngram concerning “SDG 3 and responsible investment” in 1960–2019
- Figure A1. Structural analysis by subjects for “SDG 3”
- Figure A2. Structural analysis by subjects for “SDG 3 and investment”
- Figure A3. Structural analysis by subjects for “SDG 3 and responsible investment”
- Figure D1. Topics and topics clusters in each research area, 2010–2019
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- Table 1. Cross-SDGs meta-analysis results of relevant academic papers
- Table 2. Static analysis of SDG 3 and investment coverage in academic literature over the period 2010–2019 as of March 31, 2021
- Table 3. Dynamic analysis of SDG 3 and investment coverage in academic literature over the period 2010–2019 as of March 31, 2021
- Table 4. Economic topics and topic clusters in each research area during 2010–2019 by prominence percentile
- Table B1. Top 10 institutions, sectors, and countries in each research area by scholarly output, 2010–2019
- Table C1. Top 10 authors by scholarly output and citation in each research area, 2010–2019
- Table E1. List of articles based on the bibliometric map of publications concerning “SDG 3 and investment” and “SDG 3 and responsible investment”
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Multi-agent modeling and simulation of a stock market
Mohamed Amine Souissi ,
Khalid Bensaid ,
Rachid Ellaia
doi: http://dx.doi.org/10.21511/imfi.15(4).2018.10
Investment Management and Financial Innovations Volume 15, 2018 Issue #4 pp. 123-134 Views: 1843 Downloads: 617 TO CITE АНОТАЦІЯThe stock market represents complex systems where multiple agents interact. The complexity of the environment in the financial markets in general has encouraged the use of modeling by multi-agent platforms and particularly in the case of the stock market.
In this paper, an agent-based simulation model is proposed to study the behavior of the volume of market transactions. The model is based on the case of a single asset and three types of investor agents. Each investor can be a zero intelligent trader, fundamentalist trader or traders using historical information in the decision making process. The goal of the study is to simulate the behavior of a stock market according to the different considered endogenous and exogenous variables. -
The role of foreign direct investment and trade on carbon emissions in Turkey
Gizem Kaya , M. Özgür Kayalica ,
Merve Kumaş ,
Burc Ulengin
doi: http://dx.doi.org/10.21511/ee.08(1).2017.01
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Alina Bukhtiarova ,
Arsen Hayriyan ,
Nikol Bort ,
Andrii Semenog
doi: http://dx.doi.org/10.21511/im.14(4).2018.03
FinTech startups and services are one of the most dynamic segments of the modern economy. New financial technologies have already attracted many investors and form millions of budgets. Changing the traditional financial services concept, FinTech companies formed a new niche within the financial services market, the dynamic development of which determines the relevance of the development and implementation of an effective regulatory and oversight system.
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