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

Abstract

The study’s objective is to evaluate the impact of environmental sustainability rating, financial development, changes in the price level and carbon damages on the new COVID-19 cases in a cross-sectional panel of 17 countries. The study developed two broad models to analyse the relationship between the stated factors at the current level and forecast level. The results show that improvement in the environmental sustainability rating and financial efficiency reduces the COVID-19 cases, while continued economic growth and changes in price level likely to exacerbate the COVID-19 cases across countries. The forecast results suggest the U-shaped relationship between COVID-19 cases and carbon damages controlling financial development, price level and environmental sustainability rating. The variance decomposition analysis shows that carbon damages, environmental sustainability rating and price level changes will largely influence COVID-19 cases over the next year. The soundness of economic and ecological regulated policies would be helpful to contain coronavirus cases globally.

Introduction

The COVID-19 pandemic brings many new challenges and opportunities for economies to correct their economic, environmental and healthcare policies to minimize global healthcare losses. The data for a recent rise in coronavirus infected cases in 17 countries helps to assess the emergence of a second possible wave of infectious disease at a massive scale. The history of infectious diseases is as old as human civilization. Human progress is associated with many of its sufferings. Some of the most challenging and prominent pathogens are presented in Table 1 for ready reference.

Table 1.

Prominent epidemics, outbreaks and pandemics

Pathogen	Year	Cases/mortality	Geographical location	References
Influenza (Spanish flu)	1918–1920	100 million deaths out of 500 million cases	China to worldwide	Saunders-Hastings and Krewski (2016)
Influenza (Asian flu)	1957–1958	2 million deaths	China to worldwide
HIV/AIDS	1960–to date	32 million deaths out of 75 million cases	Africa to worldwide	WHO (2018)
Cholera	1961–to date	29,000 deaths out of 5 million per year	South Asia to worldwide	WHO (2019)
Influenza (Hong Kong flu)	1968–1969	2 million deaths	China to worldwide	SinoBiological (2020)
SARS	2002–2003	800 deaths out from 8000	China to 37 countries	Chesak (2020)
Influenza (Swine flu)	2009–2010	6 million deaths	Mexico to worldwide	Bloom and Cadarette (2019)
Ebola	2014–2016	11,325 deaths out from 28,600	West Africa	CDCP (2017)
Zika	2015–to date	No confirms deaths	Brazil and America	Partlow (2016)
Dengue	2016	38,000 deaths out of 100 million	Worldwide	Institute for Health Metrics and Evaluation (2019)
Coronavirus (COVID-19)	2019–2020	26,495 deaths out of 571,678 cases in four months	China to worldwide	WHO (2020)

The rise in the COVID-19 pandemic alarmed the globalized world to re-focused on the earlier suggested policies to contain infectious diseases. Simultaneously, it has highly needed to assess the leading causes of the deadly contagious diseases again spread out from the boundary. The main focal point of the earlier suggested policies, especially to control COVID-19, was to maintain social distancing, using a preventive mask, and handwashing which was considered the critical strategy to contain coronavirus cases (Wang et al. 2020; Lima-Costa et al. 2020). The number of scholarly writing in support of the suggested economic policies is evident. The conclusive, critical remarks of the earlier findings are as follows, i.e. social distancing helpful to minimize the risk of communicable diseases, including COVID-19 as its spread through close contact, person-to-person transmitted through sneezing, cough, and flu, and lack of necessary handwashing facilities (Wimalawansa 2020). There will be a high need to make our cities more planned to diffuse population per square km of land area. Hence, infectious diseases may be less likely to get infused through close living. The greater need to increase healthcare expenditures in national healthcare bills is desirable to confront epidemic diseases (Schwarz 2021; The New York Times 2020). The marginalized population should need quick healthcare and economic reforms, as infectious diseases, including COVID-19, more likely to affect the poor community, which can cause the spread of contagious diseases to other people. The relief package should be announced for poor people not limited to cash, while to give knowledge about the way of spread infectious diseases from one to another, and what precautions are needed to escape out from it. The government needs to offer some home-based jobs to their poor people, such as giving sewing machines to the poorer women and affiliated with some SMEs that help to stay at their homes and do their work to get some income from it (Anser et al. 2020a).

Daily wage employees, small-sized shop keepers, barbers’ shops and unemployed people suffered from infectious diseases, including COVID-19. The complete city lockdown for 15 to 20 days to prevent epidemic diseases can mainly hit these peoples. They earned a minimum income that insufficient to convert into household savings and unable to utilize lockdown days to meet their families (Sinclair et al. 2020). The government should have to take responsibilities for these families, engage them in their houses by providing direct cash or providing foodstuff at home, or introduce some online work, supporting their families in unprecedented time (Kansiime et al. 2021). The government should give a bailout package of a large sum of money to the financial and business enterprises by providing low interest or zero interest base loans to the industries to keep running their production (Bartik et al. 2020). Insurance companies increase interest premium due to impulsive situation; thus, this sector also bailout either through an allocated fund to prevent epidemic diseases or through any other policies so that economic activities could be stable (Banthin et al. 2020).

The service sector reforms also suggested in the earlier studies to sustain the tourism business during the COVID-19 pandemic, i.e. the people engaged with the tourism sector, transportation, small- and medium-sized enterprises and the construction sector primarily influenced by the epidemic diseases. The rural segment is mainly dependent on international tourism; hence, due to transmitted infectious diseases, inbound tourism substantially declines, which ultimately affect their livelihood (Gaffney and Eeckels 2020). The multifaceted challenges could come simultaneously; thus, the government should not wait for any natural disaster while keeping planning a good day for unwanted bad days (Hadjidemetriou et al. 2020). Table 2 shows the current literature review on infectious diseases across countries.

Table 2.

Current literature on different communicable diseases (including COVID-19) and healthcare expenditures

Authors	Country	Communicable diseases	Causes/symptoms	Consequences	Prevention	Medication
Fukuda et al. (2020)	Japan	Hepatitis C virus (HCV)	Liver failure	Healthcare expenditures increases in age groups.	The need for economical and effective drug therapies would be beneficial for HCV patients.	Oral and injectables are available for HCV-infected people.
Ward et al. (2020)	US	HIV management	HIV is a sexually transmitted disease, while it further spread with infected blood and breastfeeding. It damages the immune system that affects the quality of life of the patient.	The HIV patients could bear not only the cost of the therapy while it has associated with some other toxicities, including cardiovascular disease, kidney issues and osteoporosis.	The life expectancy can increase with the associated cost of the therapy.	There is no such cure rate of HIV patients while symptomatic treatment is given to the patients to increase life expectancy.
Njau et al. (2019)	Romania	Measles and rubella	Rashes, fever, lymph nodes, flu, headache, red eyes, etc.	The cost of measles and rubella outbreaks was US$9.9 million, among which measles and rubella per cost of patients were around the US$439 and US$132, respectively. Further, the result indicates that about 36% of households could not afford this high viral cost, thus have to borrow it from other sources.	Routine vaccination would be helpful to reduce the economic burden.	MMR vaccine primarily used for this viral disease.
Pedrazzoli et al. (2019)	A general survey across countries	Tuberculosis	TB is more prone due to poverty, lack of knowledge, income and financial issues.	The economic consequences are apparent, which includes reduced labour supply, low labour productivity, less income and household resilience.	TB DOTS programme, patient-centred TB services and free medicines given to the needy people would help cure this disease.	The four-drug therapy primarily used in the first phase then decrease up to three or two medicines. It is around 6 to 8 months of medication treatment that is curable.
Albuquerque et al. (2019)	Brazil	Zika virus	Children are affected mainly by the Zika virus, leading to cognitive impairment, epilepsy, visual problems and arthrogryposis.	The low priority areas, marginalized population and inability to afford healthcare prices affected mainly by the Zika virus.	Frequent healthcare visits and regular follow-up with the physicians would positively prevent the Zika virus.	There is no specific vaccine and medicine; thus, it mainly treats it through symptomatic medication.
Kum et al. (2019)	Sierra Leone	Ebola virus	Unexplained haemorrhaging is the main symptom.	The disease negatively affects the country’s budget due to the affected countries’ food and mining business disclosure.	Clinical care and the patient’s immune response would mainly prevent it from this disease.	The FDA approves the Ebola vaccine rVSV-ZEBOV.
Bai et al. (2020)	China	COVID-19	Viral pneumonia resulted in the outbreak of coronavirus.	Fever, cough, body pain and respiratory problems are common symptoms.	Social distancing suggests prevention.	There is no such vaccine or medicine for this viral infection. Self-isolation and quarantine hospitals/places recommended.
Grasselli et al. (2020)	Italy	COVID-19	The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lead to COVID-19.	Treatment that does not respond to atypical pneumonia may lead to COVID-19.	Intensive care units build up and allocated for COVID-19 patients.	Set up local procedures for the triage of patients with respiratory issues.
Adalja et al. (2020)	US	COVID-19	SARS-CoV-2 lead to COVID-19.	Healthcare workers are mainly in danger to expose directly to COVID-19 patients.	The need for a proper healthcare system is required to confront this disease.	Diagnostic testing, local hospitals and clinics need to move quickly forward to tackle the disease.
Murthy et al. (2020)	General survey	COVID-19	The SARS, the Middle East respiratory syndrome and different severe influenza, including A(H7N9) and A(H1N1), are the integral components of this infectious disease.	Older patients (median age ≈ 60 years) are affected mainly by this virus, while milder illnesses found in children.	Increase urine intensity, lung-protective ventilation and reduced lung inflation are recommended for possibly minimizing the severity of this disease.	An early antibiotic for symptomatic treatment suggested following some other healthcare guidelines to confront this virus; however, there is no such specific vaccine/medicine until yet launched to reduced mortalities. Precaution is the only medicine.

The sustainability agenda compromised in the wake of the COVID-19 pandemic. The sustainable development projects and green innovation programs are halts due to the exacerbation of COVID-19 cases. Environmental knowledge is highly needed to promote green behaviour, which possibly is effective through advancement in ethical leadership (Ahmad et al. 2021). Individual green values also in line with the promotion of ethical leadership to support green human resource development (Islam et al. 2020a). Technology advancement played a vital role to conceive a green and clean environmental agenda, which is imperative for long-run sustained economic growth (Batool et al. 2019). Corporate social responsibility and green environmental behaviours help achieve the sustainability agenda (Islam et al. 2019). The resulting impact of the COVID-19 pandemic was limited to the deteriorating healthcare sustainability agenda. Simultaneously, the food retail business and customer’s mistreatment also affected, which need pro-active resource agenda to treat customers more efficiently (Ahmed et al. 2021). Communicable diseases, including COVID-19, increase healthcare expenditures leading to global depression (Anser et al. 2020b). Information technologies help disseminate the susceptibility rate of coronavirus cases and update the latest information to take preventive measures worldwide (Islam et al. 2020b).

Based on the earlier literature, the study could get a research gap between environmental sustainability and COVID-19 cases from different perspectives. First, the previous studies mainly used carbon emissions as an environmental proxy in the relationship of COVID-19 pandemic (see Han et al. 2021; Balsalobre-Lorente et al. 2020; Le Quéré et al. 2020), while this study used environmental sustainability rating index, which gives new insights of the relationship to control COVID-19 cases. Second, the study used money supply as financial development proxy in the COVID-19 modelling framework to assess the possible impact of financial openness leading to COVID-19 cases. The few studies worked on the relationship between financial development and COVID-19 cases (see Anser et al. 2021; Humpe and McMillan 2020; Silaswara et al. 2020). However, this study also used the financial indicator in new predicted COVID-19 cases, giving more insights into the relationship at inter-temporal settings. Finally, the study used carbon damages and its square term in the forecasted COVID-19 cases modelling framework, which does not previously address the non-linearity in the later stages of exacerbating COVID-19 cases. This unique contribution of the study opens many new avenues in the scholarly writings, enabling policymakers to devise sustainable environmental policies worldwide.

The study comprehensively discussed the possible vulnerabilities of the COVID-19 pandemic. It focused on the re-emergence of coronavirus cases as a possible second wave in many parts of the globalized world that need to be contained through solicited efforts. The study found some new and vital factors requiring careful examination to control them with sound global economic policies. After the first wave of COVID-19, the government used easy economic policies to support their financial and business affairs. The high socialization and commercialization process among the economic agents would probably be the more significant cause of the re-emergence of newly infected coronavirus cases across countries. Based on this assumption, the study evaluated many essential factors as research objectives of the study, i.e.

• i)To critically examine the government policies in terms of socialization and commercialization that likely to a new rise in coronavirus infected cases.
• ii)To analyse the cost of carbon emissions that would be the possible cause of re-emergence of the high level of newly infected coronavirus cases across countries, and
• iii)To assure improvement in the environmental sustainability ratings that probably begins to decline coronavirus cases at a massive scale.

These objectives would be evaluated through panel cross-sectional statistical techniques and would help reach some conclusive findings. The government should have to make all policies in good time. If any epidemic plague arises in the future, the government efficiently managed their resources and fought the epidemic diseases.

Data source and methodological framework

The study used the following critical predictors of the second wave of possible COVID-19 pandemic that can view in the new infected cases (denoted by NEW) in 17 countries, i.e. carbon damages (denoted by CDAM) as % of GNI, money supply (denoted by M2) as % of GDP, GDP per capita (denoted by GDPPC) in constant 2010 US$, inflation-consumer price index (denoted by CPI) in annual % and CPIA policy and institutions for environmental sustainability rating (denoted by ESR) (1 = low to 6 = high) index value. The stated factors’ data on the current period were taken from Worldometer (2020) and World Bank (2020). Figure 1 shows the rise in the newly infected cases in 17 countries for ready reference.

Fig. 1.

Rise in new infected COVID-19 cases. Source: Worldometer (2020, dated 19th October 2020

The given variables used to represent different economic substitutions to observe more critical scenario of the possible second wave of COVID-19 pandemic across countries, i.e.

• i)New infected COVID-19 cases (NEW): The rise in the new infected COVID-19 cases, used as a ‘response’ variable. It served as a possible factor for identifying the second wave of COVID-19 cases across countries. The increase in new cases found in 17 countries collected from the Worldometer (2020) on 19^th October 2020. The study simulated more infected cases based on the given data, and it has been used as a central stimulus to direct more critical factors to the healthcare agenda.
• ii)Environmental sustainability agenda: The study used two different environmental factors that would probably be a cause an increase in newly infected cases, including carbon damages and environmental regulations. It assumed that an increase in carbon emissions damages the healthcare sustainability agenda. Hence, a person with infectious diseases in a healthcare constraint environment has more incidence to get infected (Anser et al. 2020c). The second factor is environmental regulation, which assessed through a rating index. The more significant environmental regulations would enable to minimize the incidence of infectious diseases and helpful to sustained healthcare activities.
• iii)Socialization: The more significant change in money supply and continued economic growth leads to an increase in more economic activity that probably is a cause of more social interaction among the economic agents, which may lead to getting infected from COVID-19 cases. The monetary transactions in healthcare infrastructure provision would enable us to get back off from infectious diseases, including COVID-19.
• iv)Commercialization: The commercial activities exacerbated after the first wave of the COVID-19 pandemic. The commodity prices increase due to the high demand for the goods that obstructed during the COVID-19 epidemic. This situation would cause the second wave of COVID-19 pandemic, which needs to be lookup with sound economic policies.

Based on the stated discussion, the study made the following equation to assess the possible cause of the second wave of COVID-19 pandemic across countries, i.e.

$$1\mathrm{n}\left(\mathit{NEW}\right)={\alpha }_0+{\alpha }_{1}1\mathrm{n}({}_E+{\alpha }_{2}1\mathrm{n}({}_M+{\alpha }_{3}1\mathrm{n}{\left(\text{GDPPC}\right)}_{17,2020}+{\alpha }_{4}1\mathrm{n}({}_C+{\epsilon }_{17,2020}\therefore \frac{\partial 1\mathrm{n}\left(\mathit{NEW}\right)}{\partial 1\mathrm{n}\left(\mathit{ESR}\right)}<0,\frac{\partial 1\mathrm{n}\left(\mathit{NEW}\right)}{\partial 1\mathrm{n}\left(\mathit{MS}\right)}.>0,\frac{\partial 1\mathrm{n}\left(\mathit{NEW}\right)}{\partial 1\mathrm{n}\left(\mathit{\text{GDPPC}}\right)}>0,\frac{\partial 1\mathrm{n}\left(\mathit{NEW}\right)}{\partial 1\mathrm{n}\left(\mathit{CPI}\right)}>0$$ 1

Where ln shows natural logarithm, NEW shows newly infected cases, ESR shows environmental sustainability rating, MS shows money supply, GDPPC shows GDP per capita, CPI shows inflation, ‘ln’ shows natural logarithm and ε shows error term.

Equation (1) shows that improvement in the environmental sustainability rating would reduce newly infected coronavirus cases. In contrast, economic policies and commercial activities would cause a recent rise in COVID-19 cases across countries. The study further simulated newly infected patients based on Eq. (1) and estimated Eq. (2), i.e.

$$1\mathrm{n}\left(\mathit{\text{NEWF}}\right)={\alpha }_0+{\alpha }_{1}1\mathrm{n}({}_C+{\alpha }_{2}ln({}_S+{\alpha }_{3}ln({}_E+{\alpha }_{4}ln({}_M+{\alpha }_{5}ln({}_G+{\alpha }_{6}ln({}_C+{\epsilon }_{17,2020}\therefore \frac{\partial ln\left(\mathit{\text{NEWF}}\right)}{\partial ln\left(\mathit{\text{CDAM}}\right)}<0,\frac{\partial ln\left(\mathit{\text{NEWF}}\right)}{\partial ln\left(\mathit{\text{SQCDAM}}\right)}>0,\frac{\partial ln\left(\mathit{\text{NEWF}}\right)}{\partial ln\left(\mathit{ESR}\right)}<0,\frac{\partial ln\left(\mathit{\text{NEWF}}\right)}{\partial ln\left(\mathit{MS}\right)}.>0,\frac{\partial ln\left(\mathit{\text{NEWF}}\right)}{\partial ln\left(\mathit{\text{GDPPC}}\right)}>0,\frac{\partial ln\left(\mathit{\text{NEWF}}\right)}{\partial ln\left(\mathit{CPI}\right)}>0$$ 2

Where NEWF shows forecasted newly infected cases, CDAM shows carbon damages and SQCDAM shows a square of CDAM.

Equation (2) shows that carbon damages exhibit a curvy linear relationship with new forecasted coronavirus cases with a negative and positive sign at the initial and final environmental degradation level. Figure 2 shows the research framework of the study.

Fig. 2.

Research framework. Source: Self-extract

Figure 2 shows that the second wave of possible spread of COVID-19 cases is probably the cause of the high level of commercial activities and economic socialization due to expansionary monetary policies, which increases the money supply and credit creation across countries. The increased need for healthcare spending would support environmental sustainability rating while decreasing infectious diseases on a massive scale. The following hypotheses proposed to test the possible cause of an increase in COVID-19 cases across countries, i.e.

• H1: It is a likelihood that an increase in commercialization activities and socialization leads to a rise in newly infected coronavirus cases.

The study hypothesizes that increasing commercialization activities through the stock market’s upsurge begins to rise new COVID-19 cases. Increasing close contacts between economic agents in buying and selling process leads to more epidemic challenges, which need to be contained by managing standardized operating procedures.

• H2: The easy economic policies likely to bind close connection between economic agents and suppliers that increases corporate payoffs at the expense of healthcare damages.

The second hypothesize more focused on the expansionary fiscal and monetary policy, where government spending increases on public goods and interest rate declines, leading to more investment in the economy that exacerbates the susceptibility of increasing new COVID-19 cases across countries, and

• H3: Environmental sustainability rating would likely improve through increasing healthcare spending across countries.

Finally, the third hypothesis is more focused on maintaining the environmental sustainability rating that improves the quality of life and healthcare infrastructure, leading to reducing the risk of increasing COVID-19 cases globally.

These hypotheses have empirically tested by robust least square regression apparatus and variance decomposition analysis. The economic relationship checked by ordinary least square regression; however, this procedure has certain limitations that cannot minimize possible outliers from the stimulus variable and its regressand. The greater need for handling potential outliers in cross-sectional models, where the country size has variated as per their factor endowment, required more robust regression to minimize structural adjustment shocks across the cross-sections. The robust least square regression gives more sound inferences to absorb complete outliers across cross-sections and provides sound parameter estimates. The VAR economic modelling offers facilitation to assess innovation shocks in the stimulus variable about the regressand over a while. Both the empirical modelling techniques enable one to mark some conclusive findings.

Results and discussion

Table 3 shows the descriptive statistics of the candidate variables. The minimum increase in newly infected cases is 2, and the maximum points reached 9138 with a mean value of 1356. The carbon damages, changes in the price level and environmental sustainability rating have a mean value of 2.607% of GNI, 3.174% and 3.117 index point, respectively. The per capita income has a minimum amount of US$1116.358, a maximum value of US$57,071.17 and a mean value of US$13,371.53. The money supply has reached an average amount of 77.672% across countries.

Table 3.

Descriptive statistics

Methods	NEW	CDAM	CPI	ESR	GDPPC	MS
Mean	1356	2.607	3.174	3.117	13,371.53	77.672
Maximum	9138	5.618	10.578	4	57,071.17	197.017
Minimum	2	0.613	0.382	3	1116.358	17.831
Std. Dev.	2472.148	1.722	3.044	0.281	17,593.98	48.125
Skewness	2.177	0.686	1.150	2.249	1.478	0.990
Kurtosis	6.913	2.108	3.237	6.925	3.763	3.352

Note: NEW shows new infected cases, CDAM shows carbon damages, CPI shows inflation, ESR shows environmental sustainability rating, GDPPC shows per capita GDP and MS shows money supply

Table 4 shows the estimates of robust least square regression and found that environmental sustainability rating and economic policies regarding healthcare money supply on infrastructure development mainly decrease new coronavirus infected cases with elasticity estimates of − 16.703% p < 0.000 and − 3.09% p<0.000, respectively. The result implies that environmental regulations supporting an increase in healthcare expenditures would help minimize new coronavirus cases (Rupani et al. 2020; Allam and Jones 2020). Further needed global economic actions to mitigate climate changes through an increase in R&D expenditures (Eissa 2020), healthcare logistics supply (Govindan et al. 2020), testing and labs facility (Pulia et al. 2020), knowledge spillover (Anser et al. 2020b) and implementation of healthcare guidelines associated SOPs at a significant level (Smith et al. 2020).

Table 4.

Robust least squares regression estimates for Eq. (1)

Dependent variable: ln(NEW)
Variable	Coefficient	Std. Error	z-Statistic	Prob.
C	29.004	5.460	5.311	0.000
ln(ESR)	− 16.703	3.487	− 4.789	0.000
ln(GDPPC)	0.888	0.244	3.626	0.000
ln(CPI)	0.814	0.280	2.899	0.003
ln(MS)	− 3.095	0.448	− 6.895	0.000
Robust statistics
R2		0.526	Adjusted R2	0.369
Rw2		0.939	Adjust Rw2	0.939
AIC		44.014	SIC	51.055
Rn2		85.478	Prob(Rn2)	0.000

Note: NEW shows new infected cases, CPI shows inflation, ESR shows environmental sustainability rating, GDPPC shows per capita GDP and MS offers money supply

The results further show that commercialization and socialization are the two main predictors that mainly cause a rise in the newly infected coronavirus cases. Socialization has a greater magnitude, i.e. 0.888%, p < 0.000 in terms of commercialization, i.e. 0.814%, p < 0.003, that exacerbate a second possible incidence wave of coronavirus across selected countries. The high socialization and commercialization activities among economic agents would probably overlook the COVID-19 guidelines that lead to the newly infected coronavirus cases (Silveira et al. 2020; Kutscher and Greene 2020). The greater need for maintaining social distancing (Wilder-Smith and Freedman 2020), wearing face masks (Wu et al. 2020), avoid physical contacts (Razai et al. 2020) and use hand washing facilities (Cavanagh and Wambier 2020) are essential from prevention of new rise in COVID-19 cases across countries. Table 5 shows the diagnostic testing estimates to comprehend the given results.

Table 5.

Diagnostic test estimates for Eq. (1)

Variables	Variance inflation factors (VIF)	Other tests
ln(ESR)	1.135	JB test: 0.468 Prob. Value: (0.791)
ln(GDPPC)	1.313	Autocorrelation LM test: 0.565 Prob. Value: (0.585)
ln(CPI)	1.171	Heteroskedasticity test: 1.205 Prob. Value: (0.358)
ln(MS)	1.120	Ramsey RESET test: 1.242 Prob. Value: 0.239

Note: CPI shows inflation, ESR shows environmental sustainability rating, GDPPC shows per capita GDP and MS offers money supply

Table 5 confirms that the cross-section variables have no potential multicollinearity issue, as the value of VIF is less than the threshold value of 10. The other statistics confirmed that the given variables have no normality, autocorrelation, heteroskedasticity and model specification. Figure 3 shows the model stability at their 5% level of significance.

Fig. 3.

Model stability tests for Eq. (1). Source: Author’s estimate

As illustrated in Fig. 3, the model stability estimates confirm that the given statistics of CUSUM and square of CUSUM fall in the 5% critical region; thus, the given Eq. (1) of its parameters is statistically stable at provided point of time. Table 6 shows the robust least square regression for Eq. (2) and found a curvy relationship between carbon damages and new forecasted coronavirus cases. Initially, an increase in carbon damages does not respond to the latest possible wave of coronavirus. However, high carbon damages lead to increased healthcare damages that react to the new wave of coronavirus disease later. Thus, it exhibits the U-shaped relationship between them. The result implies that environmental pollution is the cause of healthcare damages that leads to the patient’s low immune system that quickly affects any infectious diseases (Kang et al. 2020a, b, Xiang et al. 2020, Lima et al. 2020). The COVID-19 is a deadly contagious disease that infected more quickly ill patients and where the patients’ immune system is critically compromised, thus its cause of spreading infectious diseases (Ogen 2020; Abdi 2020).

Table 6.

Robust least square regression estimates for Eq. (2)

Dependent variable: ln(NEWF)
Variable	Coefficient	Std. Error	z-Statistic	Prob.
C	29.002	1.032	28.089	0.000
ln(CDAM)	− 0.585	0.181	− 3.215	0.001
ln(SQCDAM)	0.298	0.135	2.199	0.027
ln(ESR)	− 12.623	0.646	− 19.528	0.000
ln(CPI)	0.612	0.052	11.778	0.000
ln(MS)	− 2.352	0.117	− 20.096	0.000
Robust statistics
R2		0.880	Adjusted R2	0.826
Rw2		0.994	Adjust Rw2	0.994
AIC		20.294	SIC	28.889
Rn2		1511.871	Prob(Rn2)	0.000

Note: NEWF shows new forecast infected cases, CDAM shows carbon damages, SQDAM shows a square of CDAM, CPI shows inflation, ESR shows environmental sustainability rating, GDPPC shows per capita GDP and MS shows money supply

The other results show that environmental sustainability regulations would be supportive enough to minimize coronavirus cases’ possible re-occurrence. Its possibly be minimized by improving the health hygiene of the patients (Ung 2020), increasing nutritional diets and supplements (BourBour et al. 2020), proper healthcare counselling (Brownstone et al. 2020), (Silva et al. 2020) and mitigating air pollution (Saha and Chouhan 2020). The commercialization activities exacerbate new infectious cases; however, its effect can be minimized through an increase in ease in economic policies to support the healthcare agenda (Shereen et al. 2020). Thus, the greater need for social protection through safety nets programme and employment generated policies would embark on long-term sustained healthcare policies that are pivotal for sustainable development across countries (Akseer et al. 2020). Table 7 shows the diagnostic testing estimates for Eq. (2) for ready reference.

Table 7.

Diagnostic test estimates for Eq. (2)

Variables	VIF	Other tests
ln(CDAM)	7.158	JB test: 0.941 Prob. Value: (0.624)
ln(SQCDAM)	9.143	Autocorrelation LM test: 1.646 Prob. Value: (0.245)
ln(ESR)	1.202	Heteroskedasticity test: 0.581 Prob. Value: (0.713)
ln(CPI)	1.235
ln(MS)	2.347

Note: CDAM shows carbon damages, SQDAM shows a square of CDAM, CPI shows inflation, ESR shows environmental sustainability rating, GDPPC shows per capita GDP and MS shows money supply

The results confirmed the basic diagnostic statistics that exhibit the ‘no common error’ related to the usual stochastic characteristics, including the normality issue, serial correlation and heteroskedasticity. VIF value also comprehends the free from the multicollinearity issues among the regressors, which remains inside the threshold value of 10. The closeness of value near the threshold value of 10 for CDAM and its square term is evident due to the quadratic relationship between the CDAM and NEWF; however, it does not necessarily imply the collinear relationship among the stated variables. This illustration can be view in Fig. 4 for ready reference. The CUSUM and CUSUM square terms confirmed the model’s stability for Eq. (2), as it falls inside the 5% level of confidence.

Fig. 4.

Model stability tests for Eq. (2). Source: Author’s estimate

Table 8 shows that carbon damages and commercialization have a greater magnitude to influence NEW cases and NEWF cases, respectively, over the next 1-year time period. The share of environmental sustainability rating is far more significant in the NEW instances relative to the NEWF cases. Socialization and economic easiness also would likely influence NEW cases and NEWF cases over a while. The share of the money supply is more outstanding in NEW cases relative to NEWF cases during the coming months. These statistics would help assess the current and forecasted trend of a new possible wave of COVID-19 cases across countries.

Table 8.

Variance decomposition estimates

Variance decomposition of ▲ln(NEW)
Months	SE.	▲ln(NEW)	▲ln(CDAM)	▲ln(CPI)	▲ln(ESR)	▲ln(GDPPC)	▲ln(MS)
January 2021	2.654876	99.44022	0.434700	0.025601	0.002212	0.083785	0.013486
February 2021	2.659966	99.07438	0.689012	0.043968	0.033965	0.099237	0.059434
March 2021	2.660194	99.06047	0.696863	0.046784	0.036024	0.099241	0.060616
April 2021	2.660198	99.06023	0.696866	0.046926	0.036051	0.099290	0.060632
May 2021	2.660198	99.06022	0.696872	0.046927	0.036052	0.099294	0.060639
June 2021	2.660198	99.06021	0.696873	0.046927	0.036052	0.099294	0.060639
July 2021	2.660198	99.06021	0.696873	0.046927	0.036052	0.099294	0.060639
August 2021	2.660198	99.06021	0.696873	0.046927	0.036052	0.099294	0.060639
September 2021	2.660198	99.06021	0.696873	0.046927	0.036052	0.099294	0.060639
Variance decomposition of ▲ln(NEWF)
Months	SE.	▲ln(NEWF)	▲ln(CDAM)	▲ln(CPI)	▲ln(ESR)	▲ln(GDPPC)	▲ln(MS)
February 2021	2.259445	99.56116	0.145534	0.167805	0.101744	0.023752	2.25E-08
March 2021	2.259966	99.54227	0.158234	0.172984	0.101747	0.024764	2.26E-08
April 2021	2.259984	99.54074	0.158641	0.174017	0.101820	0.024786	2.26E-08
May 2021	2.259985	99.54066	0.158651	0.174058	0.101841	0.024786	2.26E-08
June 2021	2.259985	99.54066	0.158654	0.174059	0.101842	0.024786	2.26E-08
July 2021	2.259985	99.54066	0.158654	0.174059	0.101842	0.024786	2.26E-08
August 2021	2.259985	99.54066	0.158654	0.174059	0.101842	0.024786	2.26E-08
September 2021	2.259985	99.54066	0.158654	0.174059	0.101842	0.024786	2.26E-08

Note: ▲ shows the first difference, ln shows natural logarithm, CDAM shows carbon damages, SQDAM shows a square of CDAM, CPI shows inflation, ESR shows environmental sustainability rating, GDPPC shows per capita GDP and MS shows money supply

Conclusions

The study aims to analyse the possible determinants of a new rise in COVID-19 cases in a panel of 17 global economies. These countries mainly selected due to an increase in COVID-19 new infected cases. The study found three main vital factors that could cause coronavirus diseases, i.e. close socialization among economic agents, more splendid commercialization activities and environmental deregulations. These factors mainly accessed by the continued economic growth, changes in the price level and high carbon damages. The other two main possible factors help minimize healthcare losses, i.e. sound economic policies and improved sustainability rating. These factors have accessed through an increase in money supply and environmental sustainability rating scale.

The number of microorganisms spread in the air and could infect people. For instance, vector-borne and zoonotic diseases, like Ebola, malaria, rabies, etc.; water-and food-borne diseases, like typhoid, dysentery, cholera, etc.; and endemic fungal diseases, like skin problems, dermatitis, etc., are exposed to climate change. Besides some direct measures in the current period, the government should have to plan some long-term policies related to the production of carbon-free goods, strict environmental regulations, the imposition of carbon taxes on dirty industries, healthcare-associated environmental certifications and advancement in cleaner production technologies. All these strategies would help minimize epidemic diseases by mitigating high carbon and fossil fuel combustion at a global scale.

Policy implications

The study suggested the following five policy implications that would be helpful to control the second possible wave of coronavirus cases, i.e.

• i)To monitor ‘socialization and commercialization’ activities among economic agents during business-related transactions and emphasize the need to implement entire COVID-19 guidelines in the buying and selling process. Thus, the need to maintain social distancing is pivotal to minimize newly infected cases.
• ii)To regulate environmental policies that would reduce high carbon costs to achieve the healthcare sustainability agenda. The rise in carbon emissions led to an increase in patient’s illness and low immune system, which quickly infected from coronavirus disease. The need to improve environmental sustainability ratings is imperative to escape from coronavirus disease by achieving a healthy immune system, using nutritional diets and supplements, and civilizing sanitation facilities.
• iii)The soundness of economic and healthcare policies deemed desirable to improve healthcare logistics infrastructure. A rise in R&D spending in launching the coronavirus vaccine, preventing coronavirus policies, involved community stakeholders and local investors, avoid massive gatherings and increase self-awareness and protocol, largely supporting the healthcare sustainability agenda.
• iv)Financial development is essential to begin economic activities while maintaining commodity price level reduces economic sufferings from the vulnerable segment of the society. Hence, it is essential to improve stock market efficiency through strict compliance of COVID-19 cases, while government should have to subsidize food products by lowering their prices to support the lower-income group in the wake of the COVID-19 pandemic, and
• v)Human development formation is vital to understand all the three possible indices of human progress related to a healthy life, knowledge diffusion and decent living standards. A healthy and informative person may be able to compliance all suggested measures to contain coronavirus cases. Hence, it is essential to move forward to achieve healthcare sustainability across countries.

Thus, the need to re-focus on earlier preventive policies and re-address new possible wave of coronavirus cases to contain infectious diseases required at nipping in the bud.

Author contribution

MKA: Conceptualization, Methodology, Writing-Reviewing and Editing. BU: Software, Formal Analysis. SH: Methodology Formal Analysis AAN: Supervision, Resources, Software. SEA: Formal Analysis, Resources. KZ. Software, Formal Analysis, Resources. MMQA: Resources, visualization, Formal Analysis.

Funding

Researchers Supporting Project number (RSP-2021/87), King Saud University, Riyadh, Saudi Arabia

Data Availability

The data is freely available at Worldometer (2020) at https://www.worldometers.info/coronavirus/ and World Development Indicators published by World Bank (2020) at https://databank.worldbank.org/source/world-development-indicators.

Declarations

Ethical approval

Not applicable.

Consent to participate

All authors are equally participated in the study.

Consent for publication

All authors allow the publication of the paper.

Competing interests

The authors declare that they have no conflict of interest.