| Literature DB >> 34181158 |
Muhammad Khalid Anser1, Muhammad Azhar Khan2, Khalid Zaman3, Abdelmohsen A Nassani4, Sameh E Askar5, Muhammad Moinuddin Qazi Abro4, Ahmad Kabbani6.
Abstract
The novel coronavirus disease-2019 (COVID-19) is a deadly disease that increases global healthcare sufferings. Further, it affects the financial and natural resource market simultaneously, as both are considered complementary goods. The volatility in the oil prices deteriorates the global financial market to substantiate the "financial resource (oil) curse" hypothesis primarily filled with earlier studies. In contrast, this study moved forward and extended the given relationship during the COVID-19 pandemic in a panel of 81 different countries. The study's main objective is to examine the volatility in the domestic credit provided to the private sector due to oil shocks and the COVID-19 pandemic across countries. The study is essential to assess the healthcare vulnerability in the COVID-19 pandemic, leading to the damage of financial stability, causing deterioration in the oil rents to affect the global sustainability agenda. The study employed statistical techniques to get sound inferences of the parameter estimates, including robust least squares regression, seemingly unrelated regression, and innovation accounting matrix to get a variable estimate at the level and inter-temporal framework. The results confirmed the U-shaped relationship between oil rents and financial development during the COVID-19 pandemic. Thus, it verifies the "financial resource (oil) curse" hypothesis at the initial stage of the COVID-19 pandemic. Later down, it supports the capital market when economies are resuming their economic activities and maintaining the SOPs to restrain coronavirus at a global scale. The qualitative assessment confirmed the negative effect of financial development and oil shocks on environmental quality during the pandemic crisis. The innovation accounting matrix shows that the COVID-19 pandemic will primarily be the main factor that intervenes in the relationship between oil rents and financial development, which proceed towards the "resource curse" hypothesis during the following years' time period. Therefore, the need for long-term economic policies is highly desirable to support the financial and resource market under the suggested guidelines of restraining coronavirus worldwide.Entities:
Keywords: COVID-19 pandemic; Carbon emissions; Financial development; Oil rents; Robust least square regression; Total population
Mesh:
Year: 2021 PMID: 34181158 PMCID: PMC8237551 DOI: 10.1007/s11356-021-15067-y
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 5.190
Figure 1Financial development and natural resources outcomes: a resource curse, b resource endowment, c monotonic decreasing, d monotonic increasing, and e inverted U and U-shaped relationship. Source: Author’s extraction based on earlier studies.
Literature review of financial development, natural resources, and environmental degradation during COVID-19 pandemic
| Authors | Country | Main factors | Methodology | Results |
|---|---|---|---|---|
| Hilson et al. ( | Three sub-Saharan Africa | Artisanal and small-scale mining, socio-economic issues, and COVID-19 | Descriptive | COVID-19 pandemic decreases small-scale mining activities and vastly increases social vulnerability |
| Smith et al. ( | South Africa | Tourism, protected areas, lockdown COVID-19 measures, etc. | Expressive approach | Lockdown measures negatively affect international tourism and its revenue leading to an increase in its cost. Further, it increases healthcare issues and job insecurity, which affect the sustainability agenda |
| Fan et al. ( | Asia | Food challenges, supply chain, and COVID-19 pandemic | Descriptive | COVID-19 pandemic affects the food supply chain in a region |
| Alcántara-Ayala et al. ( | Global economies | Healthcare disasters and COVID-19 | Discussion | COVID-19 increases healthcare risks and exposure to the virus, causing severe healthcare emergencies worldwide |
| Irfan et al. ( | Four countries | COVID-19 cases, NO2, PM2.5, waste | Expressive approach | COVID-19 decreases air pollution levels and waste recycling |
| Morgan et al. ( | Developing countries | COVID-19, environment, and economic impacts | Expressive approach | COVID-19 negatively influenced global income and sustainability indicators that need to be overcome by better waste management practices and commitment to mitigate environmental concerns across countries |
| Magazzino et al. ( | Brazil | COVID-19 cases, renewable energy, and economic growth | Artificial neural networks | Renewable energy helps to increase economic output in the time of COVID-19 |
| Sharif et al. ( | USA | COVID-19-infected cases, oil prices, stock price index, and geopolitical risk index | Wavelet approach | COVID-19 pandemic increases the country’s geopolitical risk, economic uncertainty, stock market volatility, and oil shocks |
| Salisu et al. ( | Ten countries | COVID-19 pandemic, oil prices, and stock market index | Panel VAR modeling technique | Oil prices and the stock market index are moving in the opposite direction |
| Aruna and Rajesh ( | India | COVID-19 pandemic, oil price shocks, and stock returns | SVAR-X technique | Stock returns positively influenced by oil price shocks during the COVID-19 pandemic, while oil exports shock negatively influenced stock returns in the current pandemic |
| Mazur et al. ( | USA | COVID-19 pandemic and stock market index | Trend analysis | The resource market, real estate business, hospitality industry, and entertainment sector primarily drop their stock market index. In contrast, a positive stock return exhibited in the food sector, healthcare infrastructure, software houses, and the natural gas sector during the current pandemic |
| Topcu and Gulal ( | 25 Asian and European countries | COVID-19-infected peoples, oil price shocks, and exchange rates | Panel regression | The current pandemic primarily harms oil price shocks and exchange rates in Asian countries while its lowest impact on the European countries by mid-April 2020 |
| Ashraf ( | 64 countries | COVID-19-infected and death cases and stock market returns | Panel regression | COVID-19-infected patients mainly decline the stock market returns as compared to the death cases |
| Sansa ( | China and the USA | COVID-19-confirmed cases and financial markets | Regression technique | A positive association found between COVID-confirmed cases and different financial markets during the first 25 days of March 2020 |
| Ashraf ( | 77 countries | Social distancing, stock market returns, and COVID-confirmed cases | Pooled regression | The economic measures to restrain coronavirus, including social distancing, negatively impact stock market returns. Simultaneously, there is an indirect positive impact between stock market returns and a substantial decline in the COVID-confirmed cases |
Sample of countries
| USA, Brazil, Russia, India, UK, Spain, Peru, Chile, Italy, Mexico, Pakistan, Turkey, Germany, France, South Africa, Bangladesh, Qatar, Colombia, China, Egypt, Belarus, Ecuador, Indonesia, Netherlands, UAE, Iraq, Kuwait, Ukraine, Oman, Philippines, Poland, Bolivia, Afghanistan, Romania, Nigeria, Kazakhstan, Japan, Austria, Guatemala, Ghana, Azerbaijan, Moldova, Serbia, Algeria, Cameron, Morocco, Czechia, Malaysia, Uzbekistan, Australia, Tajikistan, Gabon, Kyrgyzstan, Bulgaria, Mauritania, Hungry, Greece, Thailand, Croatia, Albania, Madagascar, Equatorial Guinea, Estonia, Lithuania, Slovakia, Slovenia, New Zealand, Tunisia, Benin, Jordan, Niger, Georgia, Chad, Mozambique, Libya, Surinam, Vietnam, Guyana, Angola, Brunei, Trinidad and Tobago, Barbados |
Figure 2Theoretical framework. Source: Adapted from Anser et al. (2021) and Smith (2020).
Figure 3Research framework of the study. Source: Author’s extraction.
Descriptive statistics
| Methods | ln(FD) | ORENTS | ln(TCASES) | ln(TDEATHS) | ln(TRECOV) | ln(TPOP) |
|---|---|---|---|---|---|---|
| Mean | 3.716 | 4.324 | 9.481 | 5.792 | 8.948 | 16.737 |
| Maximum | 5.188 | 37.782 | 14.78 | 11.763 | 13.904 | 21.087 |
| Minimum | 1.202 | 9.49E-05 | 4.574 | 1.098 | 4.394 | 12.568 |
| Std. dev. | 0.818 | 8.514 | 2.222 | 2.435 | 2.225 | 1.695 |
| Skewness | −0.374 | 2.598 | −0.012 | 0.293 | −0.018 | 0.065 |
| Kurtosis | 2.889 | 9.583 | 2.535 | 2.438 | 2.471 | 3.129 |
Source: Worldometer (2020) and World Bank (2020). Note: FD shows financial development, ORENT shows oil rents, TCASES shows total COVID-registered cases, TDEATHS shows total COVID death cases, TRECOV shows total COVID-recovered cases, TPOP shows total population, and “LN” shows natural logarithm
Robust least square regression (M-estimator)
| Variables | Coefficient | Std. error | z-Statistic | Prob. |
|---|---|---|---|---|
| ORENTS | −0.065 | 0.028 | −2.255 | 0.024 |
| SQORENTS | 0.002 | 0.001 | 1.702 | 0.088 |
| ln(TCASES) | −0.516 | 0.233 | −2.217 | 0.026 |
| ln(TDEATHS) | −0.004 | 0.094 | −0.043 | 0.965 |
| ln(TRECOV) | 0.648 | 0.205 | 3.161 | 0.001 |
| ln(TPOP) | −0.062 | 0.072 | −0.862 | 0.388 |
| Constant | 4.081 | 1.037 | 3.935 | 0.000 |
| Robust statistics | ||||
| R2 | 0.281 | Adjusted R2 | 0.220 | |
| Rw2-squared | 0.360 | SIC | 104.929 | |
| AIC | 86.247 | Scale | 0.6298 | |
| Deviance | 29.567 | Prob(Rn2) | 0.000 | |
| Rn2 | 27.431 | |||
Note: Dependent variable: ln(FD). FD shows financial development, ORENT shows oil rents, TCASES shows total COVID-registered cases, TDEATHS shows total COVID death cases, TRECOV shows total COVID-recovered cases, TPOP shows total population, and “LN” shows natural logarithm
Sensitivity test—seemingly unrelated regression (SUR) estimates
| Variables | Coefficient | Std. error | t-Statistic | Prob. |
|---|---|---|---|---|
| Constant | 4.222 | 0.990 | 4.265 | 0.000 |
| ORENTS | -0.055 | 0.027 | -2.004 | 0.048 |
| SQRENTS | 0.001 | 0.0008 | 1.409 | 0.163 |
| ln(TCASES) | -0.597 | 0.222 | -2.686 | 0.009 |
| ln(TDEATHS) | 0.027 | 0.090 | 0.300 | 0.764 |
| ln(TRECOV) | 0.700 | 0.195 | 3.576 | 0.000 |
| ln(TPOP) | -0.067 | 0.069 | -0.977 | 0.331 |
| Statistical tests | ||||
| R2 | 0.288 | |||
| Adjusted R2 | 0.227 | |||
| S.E. of regression | 0.719 | |||
| Durbin-Watson stat | 2.052 | |||
Note: Dependent variable: ln(FD). FD shows financial development, ORENT shows oil rents, TCASES shows total COVID-registered cases, TDEATHS shows total COVID death cases, TRECOV shows total COVID-recovered cases, TPOP shows total population, and “LN” shows natural logarithm
IRF estimates
| Response of ln(FD) | ||||||
|---|---|---|---|---|---|---|
| Months | GEUH(FD) | ln(TCASES) | ln(TDEATHS) | ln(TPOP) | ln(TRECOV) | ORENTS |
| February 2021 | 0.0388 | 0.0139 | 0.0119 | −0.0121 | 0.0239 | 0.0064 |
| March 2021 | 0.0140 | 0.0034 | −0.0108 | −0.0098 | 0.0023 | 0.0163 |
| April 2021 | −0.0050 | 0.0070 | −0.0017 | 0.0003 | −0.0002 | 0.0027 |
| May 2021 | −0.0012 | 0.0068 | −0.0005 | −0.0003 | 0.0006 | 0.0012 |
| June 2021 | −0.0014 | 0.0070 | 8.43E-05 | −0.0001 | 0.0007 | 0.0001 |
| July 2021 | −0.0012 | 0.0069 | 9.18E-05 | −0.0002 | 0.0007 | 9.76E-05 |
| August 2021 | −0.0012 | 0.0068 | 0.0001 | −0.0002 | 0.0007 | 5.47E-05 |
| September 2021 | −0.0012 | 0.0067 | 9.89E-05 | −0.0002 | 0.0007 | 5.67E-05 |
| October 2021 | −0.0012 | 0.0066 | 9.82E-05 | −0.0002 | 0.0007 | 5.45E-05 |
Note: FD shows financial development, ORENT shows oil rents, TCASES shows total COVID-registered cases, TDEATHS shows total COVID death cases, TRECOV shows total COVID-recovered cases, TPOP shows total population, and “LN” shows natural logarithm
VDA estimates
| Variance decomposition of ln(FD) | |||||||
|---|---|---|---|---|---|---|---|
| Months | S.E. | Ln(FD) | ln(TCASES) | ln(TDEATHS) | ln(TPOP) | ln(TRECOV) | ORENTS |
| February 2021 | 0.8383 | 97.9103 | 0.2779 | 0.1431 | 0.5484 | 1.0952 | 0.0249 |
| March 2021 | 0.8579 | 95.5126 | 0.2692 | 0.6054 | 0.6161 | 1.1483 | 1.8482 |
| April 2021 | 0.8623 | 94.8968 | 0.2805 | 0.8536 | 0.7559 | 1.1444 | 2.0685 |
| May 2021 | 0.8647 | 94.4299 | 0.3071 | 0.8753 | 0.7541 | 1.1403 | 2.4930 |
| June 2021 | 0.8653 | 94.3427 | 0.3069 | 0.8760 | 0.7569 | 1.2249 | 2.4924 |
| July 2021 | 0.8655 | 94.3085 | 0.3069 | 0.8758 | 0.7728 | 1.2281 | 2.5075 |
| August 2021 | 0.8657 | 94.2938 | 0.3152 | 0.8766 | 0.7729 | 1.2332 | 2.5078 |
| September 2021 | 0.8657 | 94.2851 | 0.3225 | 0.8767 | 0.7738 | 1.2333 | 2.5082 |
| October 2021 | 0.8658 | 94.2734 | 0.3330 | 0.8769 | 0.7736 | 1.2345 | 2.5082 |
Note: FD shows financial development, ORENT shows oil rents, TCASES shows total COVID-registered cases, TDEATHS shows total COVID death cases, TRECOV shows total COVID-recovered cases, TPOP shows total population, and “LN” shows natural logarithm
Questions asked for environmental protection in the time of COVID-19
| Items | Statements | Response |
|---|---|---|
| Q.1. | Does financial development increase carbon emissions during the pandemic recession? | Financial development causes a greater deterioration of environmental quality by increasing carbon emissions via the channel of unsustainable financial activities, which are merely flamed by irresponsible consumption and production. For example, during the COVID-19 pandemic, carbon emissions substantially decrease because of no economic and financial activities. However, it increases tremendously when economic activities begin to resume. Thus, we may conclude that financial development should promote sustainable financing opportunities in healthcare infrastructure to minimize the spread of COVID-19 cases and subsequently decreases carbon emissions globally |
| Q.2. | Does the conservation of natural resources support the environmental sustainability agenda? | Natural resource management is pivotal for progressing towards green growth development. However, in many parts of the world, natural resources negatively affect the country’s economic growth to support the “resource curse” hypothesis, leading to a deteriorating natural environment. On the other hand, natural resources conservation supports the country’s economic resources while utilizing natural resources for productive purposes. Thus, the process of industrialization transformation begins to resume towards broad-based growth |
| Q.3. | Does oil resource rents help to promote financial activities? | The extraction of oil resources and their efficient utilization would help speed up financial activities that achieve economic prosperity |
| Q.4. | Do economic and financial activities cause a second wave of the COVID-19 cases globally? | Socialization and commercialization are the key factors that likely a cause of the second wave of COVID-19 cases. The high level of economic and financial activities led them close to the economic agents to get involved in buying and selling goods. The unstandardized procedures and avoiding COVID-19 prevention SOPs increase the number of newly infected cases globally, needing careful monitoring of economic activities to avoid coronavirus cases |
| Q.5. | Does the financial resource curse hypothesis exist under a pandemic crisis? | The pandemic crisis begins to decline economic and financial activities. At the same time, it also affected the commodity market in the form of volatility in the commodity prices, which ultimately negatively affected financial activities to confirm the “financial resource curse” hypothesis globally |