scholarly journals A New Method for the Quantitative Assessment of Sustainable Development Goals (SDGs) and a Case Study on Central Asia

2019 ◽  
Vol 11 (13) ◽  
pp. 3504 ◽  
Author(s):  
Yizhong Huan ◽  
Haitao Li ◽  
Tao Liang
Keyword(s):  
Sustainable Development ◽  
Central Asia ◽  
Sustainable Development Goals ◽  
Time Series Data ◽  
Series Data ◽  
The Sustainable Development ◽  
Central Asian ◽  
Development Goals ◽  
Indicator Data ◽  
Term Performance

Regarding the sustainable development goals (SDGs) formulated by the United Nations (UN), how to effectively measure, assess and compare the progress and trends of these SDGs in different countries was the problem we wanted to address. Based on past quantitative assessments, this paper proposed a new methodological framework for SDG assessment and analysis, and used two typical Central Asian countries, Kazakhstan and Kyrgyzstan, as the sample area to test the framework. Our study chose 209 indicators and indicator sets, including 429 specific indicators and collected relevant indicator data for the two countries from 2000 to 2017, then proposed a new direction for the unification of indicator data as well as methods for normalization. Afterward, the scores of each goal and SDG performance were calculated. This analysis was also done innovatively using the Chow Test to conduct further analysis of the SDG performance. According to the assessment, over those 18 years, Kyrgyzstan’s SDGs had been performing poorly, especially the economic SDGs, while the performance of Kazakhstan’s SDGs had remained in constant fluctuation. It could be said that the SDG performance in Central Asia as a whole was not very optimistic. It required the devotion of greater efforts in the gathering of different types of indicator data because there were still gaps in data collection between countries as well as the missing of time-series data, which could challenge the indicator selection and further restrict the follow-up assessment and analysis. The assessment framework presented in this paper can be applied for assessing the long-term performance of national SDGs of different countries, helping analyze the internal relationship dynamic among and within countries, underscoring specific issues of sustainable development, assessing policy and selecting development models and directions.

scholarly journals Banking system stability: A prerequisite for financing the Sustainable Development Goals in Nigeria

2021 ◽  
Vol 16 (2) ◽  
pp. 103-118
Author(s):  
Agatha Amadi ◽  
Kehinde A. Adetiloye ◽  
Abiola Babajide ◽  
Idimmachi Amadi
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Time Series Data ◽  
Banking System ◽  
System Stability ◽  
Series Data ◽  
Small Scale ◽  
The Sustainable Development ◽  
Distributed Lag ◽  
Development Goals

The banking system, which has been the fulcrum of funding for Nigeria’s economy, is plagued by instability in the face of a growing amount of non-performing loans. This is examined in the current milieu of the need for funding the Sustainable Development Goals (SDGs). Using a number of proxies for SDGs 8 and 9, annual time series data covering 1992 to 2019 were used with variables such as GDP per capita, commercial banks’ loans to small-scale enterprises, banking system stability indicators and liquid assets to total assets of banks. The study utilized the Autoregressive Distributed Lag. Findings showed that banking system stability has a significant positive effect on funding the SDGs 8 and 9 beyond the five per cent level of significance within the study period. Non-performing loans remained negative throughout the study. The result suggests that banking stability would enhance funding of the SDGs, and banks would be stable if they finance the SDGs. The policy implication explains the importance of banks actively pursuing opportunities to build sustainable enterprises and developing strategies that will enable their core banking business to be more venture-driven rather than consumer-oriented. In conclusion, there is a need to completely eliminate or reduce the quantum of non-performing loans from the system and establish a regulatory framework that will facilitate its expected role of intermediation in the economy profitably and successfully. AcknowledgmentThe authors would like to appreciate Covenant University for financial support to publish this paper.

scholarly journals A systems model of SDG target influence on the 2030 Agenda for Sustainable Development

2021 ◽  
Author(s):  
Carl C. Anderson ◽  
Manfred Denich ◽  
Anne Warchold ◽  
Jürgen P. Kropp ◽  
Prajal Pradhan
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Sustainable Development ◽  
Sustainable Development Goals ◽  
The Sustainable Development ◽  
Systems Model ◽  
2030 Agenda ◽  
Development Goals ◽  
Indicator Data

AbstractThe Sustainable Development Goals (SDGs) were adopted by the United Nations in 2015 as part of the “2030 Agenda for Sustainable Development” and aim to address issues ranging from poverty and economic growth to climate change. Efforts to tackle one issue can support or hinder progress towards others, often with complex systemic interactions. Thus, each of the SDGs and their corresponding targets may contribute as levers or hurdles towards achieving other SDGs and targets. Based on SDG indicator data, we create a systems model considering influence among the SDGs and their targets. Once assessed within a system, we find that more SDGs and their corresponding targets act as levers towards achieving other goals and targets rather than as hurdles. In particular, efforts towards SDGs 5 (Gender Equality) and 17 (Partnerships for the Goals) may accelerate progress, while SDGs 10 (Reduced Inequalities) and 16 (Peace, Justice and Strong Institutions) are shown to create potential hurdles. The model results can be used to help promote supportive interactions and overcome hindering ones in the long term.

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