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(searched for: doi:10.18488/journal.2.2020.102.96.104)
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, Heba M.R. Hathout, Samar H. Albagoury
Published: 10 September 2021
International Journal of Social Economics; https://doi.org/10.1108/ijse-10-2020-0688

Abstract:
Purpose This study explored the impact of COVID-19 on the petroleum sector in Egypt, both economically and socially. Of all sectors of the economy, the oil industry has been one of the most negatively impacted by the pandemic, with oil prices plummeting at the start of the pandemic. Use to decrease demand. This paper aimed to analyse the main economic and social effects of the pandemic on the Egypt oil industry through an examination of the macroeconomic data reflected in the Egyptian balance of payments, the country's general budget and the oil industry's performance data. The study also conducted a survey of a set of workers from the Egyptian petroleum sector. The study thus concluded two levels of analysis; a macrolevel and a micro level analysis of the effect of COVID-19 on the Egyptian oil industry. Design/methodology/approach The paper builds upon the experience gained from evaluating market change caused by COVID-19 (Agosta et al., 2020), to analyse the socioeconomic implications of COVID-19 on the Egyptian oil industry. This study employed a survey analysis of questionnaires filled by on a sample of workers in the petroleum sector in Egypt. Data were analysed using the SPSS software, version 18.0. Descriptive analysis was reported as frequencies and percentages. The macroeconomic impact analysis was done by analysing macro-economic data pertaining the oil industry's levels of production as well as the data pertaining to Egypt's external balance of payment and public finance. Findings The paper concludes that although the COVID-19 pandemic had negatively impacted the socioeconomics of oil sector workers, reducing their incomes and costing them jobs, these effects appeared to be short term effects that could be minimised with the end of the pandemic and be mitigated through the adequate social and economic policies. No permanent socioeconomic losses were thus deemed to be a serious concern with respect to these workers. The study also concluded that, macroeconomically, lower global oil prices has had a net positive effect on the Egyptian economy as the causing an expected shrinkage of the overall trade deficit. It also has reduced the national budget deficit and has helped mobilise money into the economy, financing both investments and social expenses. Research limitations/implications The survey was very hard to reach, where lot of workers in the petroleum sector (governmental) refused to answer the questions. Practical implications Some African countries may not have all the necessary most recent data of economic indicators needed to ascertain with certainty the economic impact of the COVID-19 pandemic. And, at the event that data are completely available, analysts must consider that any worsening of the economy may not stem directly from the pandemic itself. Causality has to be clearly established. The survey therefore focused on the attitudes and perceptions of oil sector workers, irrespective of whether a given indicator had been affected by the pandemic or is seen likely to be affected by it in the future. All those responding have reported the belief that economic indicators, such as GDP growth, inflation and trade had been impacted negatively by the spread of COVID-19. They also believed the effects of the pandemic on transport to have had direct effects on the oil industry. Social implications The social impact of the pandemic was less apparent, particularly among governmental sector workers compared with those in the private sector. However, freelancers have reported some issues that may be become more apparent through aggregated data. Originality/value This study has presented some preliminary estimates of the impact of the COVID-19 outbreak on petroleum sector in Egypt. The goal was not to be definitive about the virus outbreak, but rather to provide information about a range of possible economic costs of the disease. While, a detailed quantification of the socioeconomic impact of the coronavirus pandemic may not be feasible, it is still useful to identify possible transmission channels through which the pandemic may affect the Egypt economy and society. It is also useful to identify key issues that are likely shape short- and medium-term socioeconomic prospects in Egypt as a result of the COVID-19 pandemic outbreak in Egypt.
Erman Kaygin, Onur Kavak
Sakarya Üniversitesi İşletme Enstitüsü Dergisi; https://doi.org/10.47542/sauied.933905

Abstract:
Havacılık sektörü, küresel anlamda ekonomik, sosyal, siyasal gelişmelerden kaynaklanan etkilere son derece açık olmakla birlikte, kendi bünyesinde yer alan finansal, stratejik ve operasyonel kırılganlıklar dolayısıyla hem içsel hem de dışsal boyutlu risklerden etkilenen, oldukça hassas bir yapıdadır. İçsel risklere yönelik bir takım mekanizmalarla öngörüde bulunup tedbirler alınabilse de, dışsal risklere ilişkin öngörüde bulunup tedbir alabilmek her zaman mümkün olamamaktadır. Bahse konu dışsal risklerin başında ekonomik krizler gelmektedir. Küreselleşme ekonomik krizlerin yayılım gücünü arttırmış, dünyanın herhangi bir yerinde meydana gelen bir ekonomik kriz, tüm dünyayı etkisi altına alır hale gelmiştir. Bu çalışmada amaç, 1994, 2000-2001, 2008 ve 2020 ekonomik krizlerinin havacılık sektörü üzerinde yarattığı etkileri Türkiye perspektifinden ele alıp değerlendirmektir. Bu bağlamda sektörün gelişimi ile krizler arasındaki ilişki, bahse konu krizlerin tüketici tercihlerine etkisi, krizler dolayısıyla sektörel küçülme oranları, toparlanma süreleri gibi hususlar üzerinde durularak, Covid-19 pandemisinin havacılık sektörüne ilişkin etkilerine yönelik öngörüde bulunulmaya çalışılmıştır.
Asian Journal of Management, Volume 12, pp 127-138; https://doi.org/10.52711/2321-5763.2021.00019

Abstract:
Although sustainable development (SD) has social, economic, and environmental dimensions as its pillars, the social aspect is virtually overlooked in development debates, making it the least conceptually developed and addressed in policy and practice. This paper draws on literature review to illuminate the concept of social sustainability (SS) and how it could be better appreciated and promoted. Data were sourced from scholarly databases and grey literature, and analysed using the qualitative content analysis approach. The review reflects the consensus that SS is essentially about maintaining an appreciable level of social wellbeing for both the present and future generations. Key factors for promoting and maintaining SS include, but are not limited to; equity, peace and security, freedom, education, justice, health, participation and inclusion, and empowerment, which can be achieved mainly through good governance and commitment. SS is inherently intertwined with environmental and economic sustainability. The main ways by which SS can be mainstreamed are; planning, research, policy, advocacy and sensitisation, as well as monitoring and evaluation at the local, national, and international levels. The UN, governments, non-governmental organisations, academic and research institutions, business enterprises, and civil society have critical roles to play in mainstreaming SS in the SD agenda. These key stakeholders need to collaborate to make strategic interventions and investments in relevant social issues to inform policy and practice regarding the social dimension of sustainable development. The paper contributes to the debate on mainstreaming social sustainability in the sustainable development agenda.
The Indian Economic Journal, Volume 69, pp 729-749; https://doi.org/10.1177/00194662211013211

Abstract:
This study seeks to identify the role of pandemics upon the Indian aviation industry. The main objectives of this study are threefold: First, to measure the impact of hotel sector upon the aviation market outcome of India post 2005: Second, to measure the impact of human fatality from the communicable diseases upon the Indian aviation market: Third, is to test the impact of economic uncertainty and pandemic uncertainty upon the Indian aviation market. This study has adopted the linear regression model in which total aviation market outcome is estimated as the function of movements of people in airlines, hotel industry cost and uncertainties. We utilise the quantile regression model to see the effects of various factors upon the aviation market at different quantiles. In order to study the cointegrating relation, we utilise Johansen Cointegration test. Further, we employ robustness techniques through FMOLS and DOLS to confirm our earlier findings. Results suggest that fatalities from communicable diseases have exerted negative impacts upon the Indian aviation market. Furthermore, we notice that increasing hotel cost volatility and rising uncertainty in hotel sector have impacted positively and negatively the aviation market, respectively. We also discover that economic uncertainty has impacted the aviation market more than pandemic uncertainty. JEL Codes: G10, G11, G14
Yunus Karaömer, Songül Kakilli Acaravcı
Journal of Economic and Administrative Sciences; https://doi.org/10.1108/jeas-06-2020-0111

Abstract:
Purpose This study aims to research how the outbreak of coronavirus disease 2019 (COVID-19) impacts the selected sector price indices in Borsa Istanbul (BIST), Turkey. Design/methodology/approach The authors use the event study method because it is a useful method as stock prices and market instantly reflect the effect of such an unusual event. Data are retrieved from the https://www.investing.com/. Findings The authors find that selected sectors are impacted by the COVID-19 outbreak. The banking and transportation sectors, on the announcement of first death, were impacted negatively, while the telecommunication and food –beverage sectors were impacted positively. The transportation and banking sectors experience an obvious downturn after the spread of COVID-19, while the food–beverage and telecommunication sectors experience an obvious upturn after the spread of COVID-19. Besides, the most adversely impacted sector is banking. Originality/value This study bridges the research gap and adds significant insights to the existing literature. The main contribution of this study to the existing literature is the unexpected outbreak impacts on financial markets, especially on BIST. It is also expected that this study will make a significant contribution to analysts, researchers and policymakers.
, Daniel Obeng-Atuah, Williams Ackaah, Adubofour Yaw Tuffour, Nimako Eric Aidoo
Urban, Planning and Transport Research, Volume 9, pp 120-131; https://doi.org/10.1080/21650020.2021.1872415

Abstract:
Changes in mobility patterns are expected during global pandemics. Despite the role of cost and travel time on mode choice, these factors may be considered secondary to perceived safety during global health crises. This study seeks to shed light on changes in public transport mode preferences during the outbreak of COVID-19. A survey involving 1100 commuters showed that there were statistically significant differences in mode preferences prior to, and during the outbreak of COVID-19 in urban Ghana. The results suggest that more people (59.0%) were willing to opt for on-demand ride-hailing during the pandemic, in comparison to the 30.0% that would have opted for it prior to the pandemic. This however came at the detriment of the most common public transport form (trotro) which experienced a decline from 64.0% to 28.6%. The gains for ride-hailing and losses for trotros were also consistent across all age groups despite cost and time being constant. The results suggest the outbreak of COVID-19 and concerns surrounding its infectious nature had implications for travel choice considerations in Ghana. The outbreak as well exposed the vulnerabilities of the transport service in light of public health shocks, although mode preference changes are not expected to last.
Published: 2 August 2020
SEISENSE Journal of Management, Volume 3, pp 33-53; https://doi.org/10.33215/sjom.v3i5.445

Abstract:
Objective- The research looks forward to extracting strategies for accelerated recovery during the ongoing Covid-19 pandemic. Design - Research design considers quantitative methodology and evaluates significant factors from 170 countries to deploy supervised and unsupervised Machine Learning techniques to generate non-trivial predictions. Findings - Findings presented by the research reflect on data-driven observation applicable at the macro level and provide healthcare-oriented insights for governing authorities. Policy Implications - Research provides interpretability of Machine Learning models regarding several aspects of the pandemic that can be leveraged for optimizing treatment protocols. Originality - Research makes use of curated near-time data to identify significant correlations keeping emerging economies at the center stage. Considering the current state of clinical trial research reflects on parallel non-clinical strategies to co-exist with the Coronavirus.
Published: 17 July 2020
Abstract:
After a breakdown notified in Wuhan, China in December 2019, COVID-19 is declared as pandemic diseases. To the date more than 13 million confirmed cases and more than half a million are dead around the world. This virus also attached Malaysia in its immature stage where 8718 cases were confirmed and 122 were declared as death. Malaysia responsibly controlled the spread by enforcing MCO. Hence, it is required to visualize the pattern of Covid-19 spread. Also, it is necessary to estimate the impact of the enforced prevention measures. In this paper, an infectious disease dynamic modeling (SEIR) is used to estimate the epidemic spread in Malaysia. The main assumption is to update the reproduction number Rt with respect to the implemented prevention measures. For a time-frame of five month, the Rt was assumed to vary between 2.9 and 0.3. Moreover, the manuscript includes two possible scenarios: the first will be the extension of the stricter measures all over the country, and the second will be the gradual lift of the lock-down. After implementing several stages of lock-down we have found that the estimated values of theRtwith respect to the strictness degree varies between 0.2 to 1.1. A continuous strict lock-down may reduce theRtto 0.2 and accordingly the estimated active cases will be reduced to 20 by the beginning of September 2020. In contrast, the second scenario considers a gradual lift of the enforced prevention measures by the end of June 2020, here we have considered three possible outcomes according to the MCO relaxation. Thus, the estimated values ofRt= 0.7, 0.9, 1.1, which shows a rapid increase in the number of active cases. The implemented SEIR model shows a close resemblance with the actual data recorded from 10, March till 7, July 2020.Author summary: Conceptualization, A.A.A; methodology, A.A.A, N.M; validation, A.A.A, N.M; formal analysis, A.A.A; investigation, N.M, A.A.A; resources, G.E.M.A, L.T; data collection, L.T, N.M; writing—original draft preparation, A.A.A, L.T, G.E.M.A, N.M; writing—review and editing, V.S.A, S.C.D, B.S.G, P.S, S.A.B.M.Z, N.M; visualization, N.M; supervision, V.S.A; project administration, V.S.A. All authors have read and agreed to the published version of the manuscript
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