Influence of the COVID-19 Crisis on Steel Production in Poland Compared to the Financial Crisis of 2009 and to Boom Periods in the Market
Abstract
:1. Introduction
2. Literature Review about Crisis Management
- Risk assessment,
- risk management,
- crisis preparedness assessment,
- emergency and crisis response,
- reputation management,
- training,
- testing,
- monitoring and evaluation.
- Psychological, which are connected with the important element for the individual in charge of a crisis management process,
- the good knowledge about the whole environment surrounding the organization,
- the knowledge about the nature of local laws and legislations,
- good communication and a media plan to connect with the public in a time of crisis, and
- involving the public in the crisis.
- To subtle or too weak signals,
- the sources of crisis signals are not viewed as credible,
- the signals are imbedded in routine messages, or
- the signal can’t reach the appropriate persons.
3. Data and Methods
- Defining the analysis requirements,
- data collection,
- data processing,
- proper data analysis, and
- reporting of results.
- (1)
- COVID-19 (the first half-year of 2020),
- (2)
- the financial crisis (the first half-year of 2009), and
- (3)
- the boom in the steel market (the first half-years of 2004, 2007, and 2017).
- Static data analysis,
- dynamic data analysis.
- DP—dynamics of steel production;
- Pt—crude steel production in the current period;
- Pt−1—steel production in the previous period.
4. Research of Analysis: The Volume of Steel Production in Poland Periods
5. Discussion
6. Conclusions
- In the first half of 2020, the steel production in Poland was 4.044 million tonnes,
- the steel production in the first half of 2020 decreased, as compared to the same period of previous year, the highest decrease was in June 2020 compared to June 2007 (−34.02%),
- the steel production in the COVID-19 crisis as compared to the boom periods is heavily declining (decrease more than 20% compared to the periods of steel boom),
- the production of steel in the COVID-19 crisis (month) is a little higher than in the financial crisis of 2009 (excluding steel production in June 2020),
- the production capacity of the steel industry in Poland in the COVID-19 crisis is unused, Polish steel mills can produce about one million tonnes per month, and the highest level of steel production was 967 thousand tonnes (June 2007),
- the average monthly production in the period from January to June 2020 was 674 thousand tonnes, and in the financial crisis of 2009 was 529 thousand tonnes (increase 27.45%), and
- only the financial crisis has had harder effects on steel production industry in Poland, but the COVID-19 crisis is not finished, and if it will last longer, it could be even worse.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Type of Crisis | Characteristic |
---|---|
Poverty-related | This type of crisis includes malnutrition—the lack of sufficient nutrients which are necessary to maintain health. Is typically associated with poverty in economically undeveloped countries. |
Unemployment | The condition of willing workers lacking a job. It leads to difficulties with meeting financial obligations such as food purchasing to feed family, pay one’s bills, failure to pay mortgages, etc. |
Economic crisis | The term economic crisis is related to the sharp transition into recession. The crisis period encourages class conflict and/or societal changes. Includes events such as market crushes, strikes, and shortages of labor opportunities. |
Financial crisis | Problems of banking systems like: Banking crisis, speculative bubbles and crashes, or international financial crisis. |
Environmental crisis | Environmental disaster—this type of crisis is a disaster due to human activity. Natural disaster—is the consequence of existing natural hazard (for example, volcanic eruption, landslide, or earthquake) which changes its phase from potential to active. The resulting loss depends on the capacity of the population to resist or support the disaster and their resilience. |
International crisis | Crisis when the situation has far-reaching consequences affecting a whole or big part of the world. |
Informational | The crisis is in situation of lack of important information or some organizational records which are public or confidential. |
Physical | This type of crisis is connected with equipment problems, loss of supplier, or also big disruption of a key operating plant. |
Human resources | The crisis occurs, for example, when we affect the loss of a key executive member of an organization, workplace violence, or vandalism. |
Reputational | The term is related to rumors or gossips which can negatively affect the reputation of the organization. |
Reason | Definition | COVID-19 Pandemic |
---|---|---|
Denial | The organization tries to deny that it may be vulnerable to threats of imminent crisis and decide there is no need to take measures. | Many people first tried to deny the COVID-19 pandemic as a whole. Next, they underestimated the possibility of widespread of it. |
Disavowal | The organization recognizes that a crisis can affect it, but think that the impact will be too low to be taken into consideration. The organization diminishes the magnitude and importance of the crisis. | When the authorities and organizations’ realized that the COVID-19 pandemic was real, they tried to deny the possible effects—mortality, and the potential business effects of a pandemic. They thought that it could have a small and short-lasting effect. |
Grandiosity | The organization tries to presume that is too powerful and big to be affected by the crisis. | In the big international crisis, all organizations were affected. Especially, the closing of many international borders had a very negative effect on supply chain management in a business environment. |
Idealization | The organization thinks that the crisis does not happen to good organizations, and because of that ignores all existing signals of a crisis. | The international range of the COVID-19 pandemic affected almost all organizations in the world. |
Intellectualization | The organization minimizes the probability of occurrence of the crisis. | For many years, scientists have warned about the possibility of pandemic occurrence. We have known a previous disaster, for example, the Spanish flu pandemic in 1918. However, many thought that today, in a highly developed world, such a situation is impossible. |
Compartmentalization | The organization believes that even if a crisis occurs and affects the company, it will affect only small part of it. | The global dimension of the pandemic affected all branches of companies and had a very big impact on business. |
COVID 19 Pandemic Impact | Characteristic |
---|---|
Unemployment and layoffs | Many types of industries, especially travel, hospitality, entertainment, and sports, were shut down by the current pandemic. Many people in the whole world are unemployed, which affects their state of life and leads to anxiety, depression, and physical ailments. |
Presenteeism | It is the risk that people continuing to work in COVID-19 are going to work ill and can infect other people. |
Economic inequality | Scholars expect that economic inequality can increase in the time of COVID 19 pandemic. Such problems were known in times of past crises, for example, the financial crisis in 2008. |
Social distancing and loneliness | Problems connected with a low amount of social contact can negatively influence on social and mental physical health. Loneliness is an emotion which is psychologically painful and results from subjective feelings that their social needs are not well met. |
Stress and burnout | The uncertainty affected by pandemic can lead to an increase in those problems between various industries. |
Addiction | Other problems with workforce disengagement were associated with alcohol misuse due to distancing from workplace-based supervisors and peers. The COVID-19 pandemic can bring similar effects. |
Years | January | February | March | April | May | June | July | August | September | October | November | Decemebr |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2004 | 880 | 827 | 887 | 926 | 933 | 914 | 947 | 909 | 877 | 927 | 796 | 769 |
2007 | 907 | 860 | 948 | 906 | 957 | 967 | 872 | 847 | 859 | 859 | 829 | 819 |
2009 | 492 | 483 | 473 | 479 | 569 | 677 | 697 | 686 | 669 | 747 | 607 | 551 |
2017 | 852 | 796 | 855 | 891 | 881 | 853 | 912 | 846 | 865 | 871 | 821 | 888 |
2020 | 720 | 720 | 658 | 671 | 637 | 638 | 700 | 505 | 599 | 692 | 660 F | 630F |
January | February | March | April | May | June | ||||||||
2020 | Thousand tonnes m-o-m | 720 | 46.34% | 720 | 49.07% | 658 | 39.11% | 671 | 40.08% | 637 | 11.95% | 638 | −5.76% |
2009 | 492 | 483 | 473 | 479 | 569 | 677 | |||||||
The first quarter | The second quarter | ||||||||||||
2020 | Thousand tonnes q-o-q | 2098 | 44.89% | 1946 | 12.81% | ||||||||
2009 | 1448 | 1725 | |||||||||||
The first half-year | |||||||||||||
2020 | Thousand tonnes h-o-h | 4044 | 27.45% | ||||||||||
2009 | 3173 |
Months | ||||||
January | February | March | April | May | June | |
Thousand tonnes | ||||||
2020 | 720 | 720 | 658 | 671 | 637 | 638 |
2004 | 880 | 827 | 887 | 926 | 933 | 914 |
2007 | 907 | 860 | 948 | 906 | 957 | 967 |
2017 | 852 | 796 | 855 | 891 | 881 | 853 |
2020/2004 m-o-m | −18.18% | −12.94% | −25.82% | −27.54% | −31.73% | −30.20% |
2020/2007 m-o-m | −20.62% | −16.28% | −30.59% | −25.94% | −33.44% | −34.02% |
2020/2017 m-o-m | −15.49% | −9.55% | −23.04% | −24.69% | −27.70% | −25.21% |
Quarters | ||||||
The first quarter | The second quarter | |||||
Thousand tonnes | ||||||
2020 | 2098 | 1946 | ||||
2004 | 2594 | 2773 | ||||
2007 | 2715 | 2830 | ||||
2017 | 2503 | 2625 | ||||
2020/2004 q-o-q | −19.12% | −29.82% | ||||
2020/2007 q-o-q | −22.73% | −31.24% | ||||
2020/2017 q-o-q | −16.18% | −25.87% | ||||
First half of the year | ||||||
Thousand tonnes | Dynamics h-o-h | |||||
2020 | 2004 | 2007 | 2017 | 2020/2004 | 2020/2007 | 2020/2017 |
4044 | 5367 | 5545 | 5128 | −24.65% | −27.07% | −21.34% |
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Gajdzik, B.; Wolniak, R. Influence of the COVID-19 Crisis on Steel Production in Poland Compared to the Financial Crisis of 2009 and to Boom Periods in the Market. Resources 2021, 10, 4. https://doi.org/10.3390/resources10010004
Gajdzik B, Wolniak R. Influence of the COVID-19 Crisis on Steel Production in Poland Compared to the Financial Crisis of 2009 and to Boom Periods in the Market. Resources. 2021; 10(1):4. https://doi.org/10.3390/resources10010004
Chicago/Turabian StyleGajdzik, Bożena, and Radoslaw Wolniak. 2021. "Influence of the COVID-19 Crisis on Steel Production in Poland Compared to the Financial Crisis of 2009 and to Boom Periods in the Market" Resources 10, no. 1: 4. https://doi.org/10.3390/resources10010004
APA StyleGajdzik, B., & Wolniak, R. (2021). Influence of the COVID-19 Crisis on Steel Production in Poland Compared to the Financial Crisis of 2009 and to Boom Periods in the Market. Resources, 10(1), 4. https://doi.org/10.3390/resources10010004