Does improvement in the environmental sustainability rating help to reduce the COVID-19 cases? Controlling financial development, price level and carbon damages

Anser, Muhammad Khalid; Usman, Bushra; Hyder, Shabir; Nassani, Abdelmohsen A.; Askar, Sameh; Zaman, Khalid; Abro, Muhammad Moinuddin Qazi

doi:10.1007/s11356-021-13873-y

Cited by 6 publications

(9 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our findings are similar to those reported by Anser et al ( 2021 ). The variables for the environmental performance COEM and FFC with coefficients of 0.0039 and 0.2133 negatively impact communicable diseases like COVID-19 and the earlier variants of CDs.…”

Section: Resultssupporting

confidence: 94%

“…Resultantly, the lockdowns in the economy and shutdowns in industries caused a loss in their regular pay and payments for healthcare treatments. Thirdly, while the personal earnings and savings appear to be the first line of defense during the shocks of CDs, the OECD residents may well employ credit financing and resort to borrowings offered by improved levels of financial development, as reported by Anser et al ( 2021 ). In the context of the above discussion, among other SDGs, the importance of appropriate public and private investments is highly recommended for transition to a green economy with high levels of environmental sustainability as well as general public health, as was also suggested by Sachs et al ( 2019 ) and Le et al ( 2020 ).…”

Section: Resultsmentioning

confidence: 91%

See 1 more Smart Citation

Re-examining the nexuses of communicable diseases, environmental performance, and dynamics of sustainable Development in OECD countries

Quddoos

Akhtar

Amin

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

We investigate the determinants of communicable diseases (CDs) and nexus of financial development, economic development, and renewable energy consumption to address the issues of ecological footprint level, the impacts of communicable diseases (CDs), and economic growth of the OECD countries throughout 2000-2019. The results from FMOLS and DOLS reveal that the levels of financial development, energy consumption, and trade volume significantly contribute to overcoming the death toll occurring due to CDs. As regards the growth function, the level of trade in the economy is significantly associated with economic growth. The findings reveal that the improvements and developments in the financial sectors and trading activities cause a reduction in the infection cases represented by COVID-19. In contrast, economic growth does have a negative but insignificant impact upon COVID-19. We conclude that sound financial development combined with economic and environmental regulations could be strategically helpful to cope with CDs.

show abstract

Section: Resultssupporting

confidence: 94%

Section: Resultsmentioning

confidence: 91%

Re-examining the nexuses of communicable diseases, environmental performance, and dynamics of sustainable Development in OECD countries

Quddoos

Akhtar

Amin

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…On the other hand, it increases untreated healthcare wastes, which affect the sustainability principles. Further, the number of studies confirmed the estimated results of improving environmental sustainability ratings in the wake of COVID-19 cases and natural resources (see Anser et al 2021b;Quatrini 2021;Boston 2020).…”

Section: Resultssupporting

confidence: 60%

“…The earlier studies mainly included different environmental pollution in the COVID-19 framework (see Pei et al 2020;Zhu et al 2020;Frontera et al 2020;Jiang et al 2020) while ignored the more comprehensive policy variable related to ESR during the pandemic recession. This variable is essential, as it described the country's overall rating towards achieving environmental sustainability from a policy perspective (Anser et al 2021b). Furthermore, the commodity-producing sector is also negatively affected by the high COVID-19 cases due to adopting strict lockdown measures and maintaining social distancing in the mining, which affects their working conditions and livelihood to escape poverty.…”

Section: Introductionmentioning

confidence: 99%

Environmental and natural resource degradation in the wake of COVID-19 pandemic: a wake-up call

Anser

Nassani

Zaman

et al. 2021

Environ Sci Pollut Res

Self Cite

View full text Add to dashboard Cite

The study’s objective is to examine the relationship between COVID-19 cases, environmental sustainability ratings, and mineral resource rents in a large cross section of 97 countries. The emergence of novel coronavirus 2019 (COVID-19) enlarges its magnitude across the international borders and damages social, economic, and environmental infrastructure with a high rate of human death tolls. The mineral resources are also devastated, which served as a primary raw input into the production system. The adverse effects of the COVID-19 pandemic on the environment and mineral resources are studied in a large panel of countries and found that mineral resource rents and population growth improve environmental sustainability rating (ESR). In contrast, an increase in coronavirus cases decreases the rating scale across countries. Further, mineral resources first decrease along with increased COVID-19 cases due to strict government policies, including the mandatory shutdown of economic institutions. Further, mineral resource rents increase later because of resuming economic activities in many parts of the world. The high rate of population growth is another important factor that negatively affects mineral resources across countries. Through impulse response and variance decomposition estimates, an exacerbated coronavirus cases and population growth would likely negatively affect ESR and mineral resources. In contrast, COVID-19 recovered cases will likely play a more significant role in securing mineral resources over time. Therefore, the global mineral resource conservation policies and improving ESR are highly needed during the COVID-19 to keep the significant economic gains in unprecedented times.

show abstract

“…Li et al [ 16 ] identified critical factors associated with COVID-19 cases, death, and case fatality rates by using the logistic regression model. Anser et al [ 17 ] developed two broad models to evaluate the impact of environmental sustainability ratings, financial development, and carbon damage on the new COVID-19 cases in a cross-sectional panel of 17 countries. Abdel Hafez and Hamdan [ 18 ] used three artificial neural network (feed-forward, NARX, and Elman network [ 19 ]) methods to evaluate the relationship between weather variables and COVID-19 cases.…”

Section: Introductionmentioning

confidence: 99%

Computational and Mathematical Methods in Medicine Prediction of COVID-19 in BRICS Countries: An Integrated Deep Learning Model of CEEMDAN-R-ILSTM-Elman

Zhao

Zheng

2022

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

Since the outbreak of COVID-19, BRICS countries have experienced different epidemic spread due to different health conditions, social isolation measures, vaccination rates, and other factors. A descriptive analysis is conducted for the spread of the epidemic in the BRICS countries. Considering the nonlinear and nonstationary characteristics of COVID-19 data, a principle of decomposition-reconstruction(R)-prediction-integration is proposed. Correspondingly, this paper constructs an integrated deep learning prediction model of CEEMDAN-R-ILSTM-Elman. Specifically, the prediction model is integrated by complete ensemble empirical mode decomposition (CEEMDAN), improved long-term and short-term memory network (ILSTM), and Elman neural network. First, the data is decomposed by adopting CEEMDAN. Then, by calculating the permutation entropy and average period, the decomposed eigenmode component IMFs are reconstructed into four sequences of high, medium, low level, and trend term. Thus, ILSTM and Elman algorithms are used for component sequence prediction, whose results are integrated as the final results. The ILSTM is established based on the LSTM model and the improved beetle antennae search algorithm (IBAS). The ILSTM mainly considers that the prediction accuracy of LSTM model is vulnerable to the influence of parameter selection. The IBAS with adaptive step size is used to automatically optimize the super parameters of LSTM model and to improve the modeling efficiency and prediction accuracy. Experimental results indicate that compared with other benchmark models, CEEMDAN-R-ILSTM-Elman integrated model predicts the number of newly confirmed cases of COVID-19 in BRICS countries with higher accuracy and lower error. Strict social policies have a greater impact on the infection rate and mortality rate of the epidemic. During July-August 2021, epidemic spread in BRICS countries will slow down, and the overall situation is still quite severe.

show abstract

Does improvement in the environmental sustainability rating help to reduce the COVID-19 cases? Controlling financial development, price level and carbon damages

Cited by 6 publications

References 60 publications

Re-examining the nexuses of communicable diseases, environmental performance, and dynamics of sustainable Development in OECD countries

Re-examining the nexuses of communicable diseases, environmental performance, and dynamics of sustainable Development in OECD countries

Environmental and natural resource degradation in the wake of COVID-19 pandemic: a wake-up call

Computational and Mathematical Methods in Medicine Prediction of COVID-19 in BRICS Countries: An Integrated Deep Learning Model of CEEMDAN-R-ILSTM-Elman

Contact Info

Product

Resources

About