Quantifying the impacts of COVID-19 on Sustainable Development Goals using machine learning models

Shuai, Chenyang; Zhao, Bu; Chen, Xi; Liu, Jianguo; Chen, Kewei; Qu, Shen; Zou, Jian‐Ping; Xu, Ming

doi:10.1016/j.fmre.2022.06.016

Cited by 21 publications

(8 citation statements)

References 34 publications

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“…Also, other conducted studies are consistent with H3 [16][17][18][19][20]. Research conducted by Shuai et al [76] identified progress towards the SDG targets after COVID-19 in the period 2020-2024 by means of predicted GDP and population growth and machine learning models. They justified that the total implementation of the SDGs declined by 7.7% in 2020 globally, with the performance of the 12 socio-economic SDGs (including SDG8) declining by 3.0-22.3% and the performance of the 4 environmental SDGs increasing by 1.6-9.2%.…”

Section: Discussionsupporting

confidence: 65%

Decent Work and Economic Growth in EU Countries—Static and Dynamic Analyses of Sustainable Development Goal 8

Bieszk-Stolorz,

Dmytrów

2023

Sustainability

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The goal of this research is a static geographic comparison of the degree of Sustainable Development Goal 8 (SDG8) implementation and to compare its dynamics for the European Union (EU) in the period of 2002–2021 with the consideration of the COVID-19 pandemic. The level of implementation of the 2030 Agenda for Sustainable Development objectives is monitored both jointly and individually. This research uses the COPRAS, the Dynamic Time Warping (DTW) and the hierarchical clustering methods. The study confirmed the geographical diversity in the degree of SDG8 implementation. Nordic countries have the highest degree of implementation, while Greece, Spain, Italy, Romania and Slovakia have the lowest. Some less-developed countries (Czechia, Poland and Malta) were in the cluster where the implementation improved, and some well-developed countries (France, Luxembourg and Portugal) were in the cluster in which the situation did not improve or improved at a low degree. It was not possible to identify geographical diversity in the dynamics of changes in the degree of SDG8 implementation. The COVID-19 pandemic caused the decline in the degree of SDG8 implementation. The added value of the study consists of comparing the dynamics of the degree of implementation of SDG8 using the DTW method. The obtained conclusions may help to create policies for EU countries in this regard.

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Section: Discussionsupporting

confidence: 65%

Decent Work and Economic Growth in EU Countries—Static and Dynamic Analyses of Sustainable Development Goal 8

Bieszk-Stolorz,

Dmytrów

2023

Sustainability

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“…The thinking of balanced scorecard could be employed in the weight attribution of the food security indicator system. Then, this study adopts the equal weights for the dimensions and indicators in each dimension, that is, Equations ( 3) and ( 4), to calculate the assessment values as "leaving no one behind" is the principle of SDGs, which has been used in Shuai et al (2022) and Xu et al (2020). For assessing the food security performance values of each dimension, Equation ( 3) is used.…”

Section: Discussionmentioning

confidence: 99%

Progress toward SDG‐2: Assessing food security in 93 countries with a multidimensional indicator system

Peng

Shuai

Yin

et al. 2023

Sustainable Development

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The second goal of Sustainable Development Goals (SDGs) (SDG‐2: zero hunger), which integrates food security, nutrition, and sustainable agriculture, is the common aim of human beings. Assessment of food security performance is the premise of understanding the global food security to tailor strategies toward SDG‐2. This study quantitatively assesses the food security of 93 countries using a multiple‐dimensional indicator system (MDIS) with five dimensions (i.e., availability, access, utilization, stability, and other) consisting of 34 indicators using the data for the years 2015, 2016, 2017, and 2018. The results show imbalance in global food security, which is generally high in Europe, Oceania, and North America, fair in East Asia and South America, and low in Africa and South Asia. In the dimensions, countries with low availability are mainly owing to the bad performances of indicators related to energy, protein, and meat supply; the low utilization is expressed in the number of obese adults, stunted children, prevalence of anemia of women, obese adults and overweight children; the low food access showed in the low GDP per capita and rail line density; and the low‐stability countries mainly have the high food import dependency and low political stability. Policy implications include promoting the adoption of agricultural technologies to boost food production, implementing inclusive finance among vulnerable groups to enhance health equality, developing national economy and transport systems to increase access to food, and encouraging local food reserves and calling for world peace to stable food supply. This study provides national governments and international organizations with a new MDIS, status quo, and possible solutions to eliminating hunger.

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“…However, Fulzele et al mainly consider environmental and energy indicators, focusing on something other than sustainable development's economic aspects. Research [8] aims to use machine learning methods to model possible trajectories of sustainable development from up to 2024. Shuai et al concluded that for most of the SDGs, a significant deviation is expected in the progress of achieving the goals compared to the trajectories that could have taken place in the absence of the pandemic and the preservation of development trends.…”

Section: Literature Reviewmentioning

confidence: 99%

Post-COVID-19 economic recovery in the context of SDG8 and SDG9: the case of selected Eastern European countries

Hryhoruk,

Khrushch,

Grygoruk

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Assessing the economic development of countries in the context of the tasks defined in the UN 2030 Agenda for Sustainable Development is essential from the point of view of determining progress in achieving the SDGs. It becomes especially relevant in periods of global challenges and disturbances, one of which is the COVID-19 pandemic. The goals of SDG8 and SDG9 contain indicators that are determined mainly by the state of development of the country’s economy, so the analysis of trends in their changes is important in the context of identifying trends in economic growth in general, as well as for evaluating progress in achieving these goals. The purpose of the study is to identify the impact of the COVID-19 pandemic on the economic development of countries to achieve sustainable development goals and assess progress trends in the post-pandemic recovery of the economies of Eastern Europe by analyzing quantitative data from official statistical sources. The object of the study is the economic development of Eastern European countries in the conditions of the COVID-19 pandemic. The study period covers the time range from 2017 to 2021 and includes both the pre-pandemic and pandemic periods. Eight countries of Eastern Europe were chosen as research objects. Indicators of official statistics related to SDG8 and SDG9 sub-goals were selected for analysis. The study showed a significant decrease in the values of most indicators, which was caused by the destructive effect of the pandemic. To assess the possible development trajectory, we calculated the estimated value of indicators for 2022 using the Holt-Winters method. The results showed that, despite some progress in 2021, in 2022, the values of the indicators are decreasing. Such estimates correspond to the trends provided by international institutions. We have built a composite indicator to assess the economic development trend comprehensively. The results of the evaluation confirmed the general trend towards a decrease in the level of economic growth in the context of the goals of SDG8 and SDG9 for all the countries of Eastern Europe selected in the study.

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Quantifying the impacts of COVID-19 on Sustainable Development Goals using machine learning models

Cited by 21 publications

References 34 publications

Decent Work and Economic Growth in EU Countries—Static and Dynamic Analyses of Sustainable Development Goal 8

Decent Work and Economic Growth in EU Countries—Static and Dynamic Analyses of Sustainable Development Goal 8

Progress toward SDG‐2: Assessing food security in 93 countries with a multidimensional indicator system

Post-COVID-19 economic recovery in the context of SDG8 and SDG9: the case of selected Eastern European countries

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