ABSTRACT
In this paper has been proposed a methodology for ensuring the financial security of enterprises in the context of recession caused by the COVID-19 pandemic. Based on pre-crisis data related to the new coronavirus infection pandemic and multi-component modeling of the dynamics of industrial production in the Republic of Uzbekistan during the "corona crisis,"this study seeks to identify the dynamics of growth by economic activity type and recovery rate in order to identify areas of state support for industrial production. In this paper has been investigated issues of financial security management of textile enterprises. On the basis of secondary statistics, the growth of textile production in the regions of the Republic of Uzbekistan in 2008-2020 was analyzed and the factors influencing it were identified. By the author have been presented the main tasks and conditions for the financial security of enterprises, as well as developed scientific and practical recommendations for eliminating factors affecting the financial security of textile enterprises. © 2022 Owner/Author.
ABSTRACT
In December 2019, a novel coronavirus broke out in Wuhan City, Hubei Province, and, as the center of the coronavirus disease 2019 (COVID-19) epidemic, the economy and production throughout Hubei Province suffered huge temporary impacts. Based on the input–output and industrial pollution emissions data of 33 industrial industries in Hubei from 2010 to 2019, this article uses the non-parametric frontier analysis method to calculate the potential production losses and compliance costs caused by environmental regulations in Hubei's industrial sector by year and industry. Research has found that the environmental technology efficiency of the industrial sector in Hubei is showing a trend of increasing year-on-year, but the overall efficiency level is still not high, and there is great room for improvement. The calculation results with and without environmental regulatory constraints indicate that, generally, production losses and compliance costs may be encountered in the industrial sector in Hubei, and there are significant differences by industry. The potential production losses and compliance costs in pollution-intensive industries are higher than those in clean production industries. On this basis, we propose relevant policy recommendations to improve the technological efficiency of Hubei's industrial environment, in order to promote the high-quality development of Hubei's industry in the post-epidemic era.
ABSTRACT
This paper contains an investigation of the COVID-19 impacts on freight flows and the handling of uncertainty in freight forecasting models, based on data from Greece. It collects and analyses, over a 7-year period before and during the pandemic, data for freight transport operations and some related factors in order to macroscopically examine any statistically significant changes in their values over time. This period wasjudged necessary in order to establish the pattern of fluctuations in the relevant data during the non-pandemic years and thus make the visual comparison with the previous period and the years during the pandemic, more clear. First, the paper tests the impact of the pandemic as expressed by the number of daily COVID-19 cases on freight flow variables in order to find the dynamic behavior of these variables and trace their reactions over time. This analysis is made by using the Vector Autoregressive Model (VAR). By implementing VAR modelling, we analyzed the dynamic relationship between freight transport volumes and other factors such as GDP, the industrial production index, exporting transactions and the number of coronavirus cases. The main result of the model analysis and the employment of impulse response functions revealed that the unexpected shock of COVID has a negative reaction to the economy and the freight transport volumes and a rather shortterm limited duration disruption effect on the growth of exports as well as on the industrial production index, of approximately eight months. Secondly, the paper discusses how, unpredicted events like the pandemic, influence the uncertainty inherent in freight transport modelling and formulates a novel freight modelling framework procedure based on scenario building, regular monitoring and data updates on a permanent basis. [ FROM AUTHOR] Copyright of Advances in Transportation Studies is the property of Advances in Transportation Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Analysis of trends in interregional inequality in Russia in 2015–21 and of the actual outcome during the 2020 pandemic and the subsequent recovery in 2021 reveals short-term regional convergence in seven indicators, albeit of different depth and duration. Sub-federal budget revenue experienced the most significant and persistent reduction in interregional disparities, the main sources of which were a reduction of unevenness in a number of taxes, a significant increase in federal transfers and a change in their nature. After a strong short-term convergence, industry, trade, transport and investment all tended to return to long-term divergence paths. Personal income and wage inequality responded weakly to the shock in the short term and entered the new long-term path. Multidirectional spatial trends resulted from the interaction of sectorial and fiscal policy effects during the pandemic. (English) [ FROM AUTHOR] Cómo ha afectado la pandemia en las desigualdades interregionales en Rusia. Area Development and Policy. En los análisis sobre las tendencias en las desigualdades interregional en Rusia durante el periodo de 2015 a 2021, el resultado actual durante la pandemia de 2020 y la recuperación posterior en 2021 se observa una convergencia regional a corto plazo en siete indicadores, si bien con diferencias en cuanto a la profundidad y la duración. En los ingresos presupuestales subfederales se observó la reducción más significativa y persistente en las desigualdades interregionales, siendo las principales fuentes la reducción de las desigualdades en una serie de impuestos, un aumento significativo en las transferencias federales y un cambio en su naturaleza. Tras una fuerte convergencia a corto plazo, la industria, el comercio, el transporte y las inversiones tendían a volver a las rutas de divergencia a largo plazo. Los ingresos personales y las desigualdades salariales respondieron débilmente al choque a corto plazo y entraron en una nueva fase a largo plazo. Las tendencias espaciales multidireccionales surgieron a partir de la interacción de los efectos de la política sectorial y fiscal durante la pandemia. (Spanish) [ FROM AUTHOR] Как пандемия повлияла на межрегиональное неравенство в России. Area Development and Policy. Анализ тенденций межрегионального неравенства в России в 2015–21 гг. и фактического неравенства во время пандемии 2020 г. и последующего восстановления в 2021 г. выявил краткосрочную конвергенцию регионов по семи показателям разной глубины и продолжительности. В доходах субфедерального бюджета произошло наиболее значительное и стойкое сокращение межрегиональных диспропорций, основными источниками которого стали уменьшение неравномерности по ряду налогов, значительное увеличение федеральных трансфертов и изменение их характера. После сильной краткосрочной конвергенции промышленность, торговля, транспорт и инвестиции, как правило, возвращались к долгосрочным траекториям дивергенции. Неравенство личных доходов и заработной платы слабо отреагировало на шок в краткосрочной перспективе и вступило на новую долгосрочную траекторию. Разнонаправленные пространственные тренды возникали в результате взаимодействия отраслевых эффектов и фискальной политики во время пандемии. (Russian) [ FROM AUTHOR] 流行病如何影响俄罗斯地区间不平等? Area Development and Policy. 本文分析了2015–21年间俄罗斯区域间不平等趋势、2020年爆发的流行病所造成的实际结果以及2021随后的疫情恢复情况, 研究表明七个指标在短期内区域趋同, 尽管深度和持续时间不同。联邦以下各级预算收入在区域间差异方面经历了最显著和持久的减少, 其主要来源是一些税收不平衡性减少, 以及联邦转移的显著增加和其性质的改变。在短期强劲趋同之后, 工业、贸易、运输和投资都倾向于回归长期的趋同路径。个人收入和工资不平等在短期内对冲击反应微弱, 并进入新的长期路径。多方的空间趋势是流行病期间部门和财政政策影响相互作用的结果。 (Chinese) [ FROM AUTHOR] Copyright of Area Development & Policy is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Forecasting stock markets is an important challenge due to leptokurtic distributions with heavy tails due to uncertainties in markets, economies, and political fluctuations. To forecast the direction of stock markets, the inclusion of leading indicators to volatility models is highly important;however, such series are generally at different frequencies. The paper proposes the GARCH-MIDAS-LSTM model, a hybrid method that benefits from LSTM deep neural networks for forecast accuracy, and the GARCH-MIDAS model for the integration of effects of low-frequency variables in high-frequency stock market volatility modeling. The models are being tested for a forecast sample including the COVID-19 shut-down after the first official case period and the economic reopening period in in Borsa Istanbul stock market in Türkiye. For this sample, significant uncertainty existed regarding future economic expectations, and the period provided an interesting laboratory to test the forecast effectiveness of the proposed LSTM augmented model in addition to GARCH-MIDAS models, which included geopolitical risk, future economic expectations, trends, and cycle industrial production indices as low-frequency variables. The evidence suggests that stock market volatility is most effectively modeled with geopolitical risk, followed by industrial production, and a relatively lower performance is achieved by future economic expectations. These findings imply that increases in geopolitical risk enhance stock market volatility further, and that industrial production and future economic expectations work in the opposite direction. Most importantly, the forecast results suggest suitability of both the GARCH-MIDAS and GARCH-MIDAS-LSTM models, and with good forecasting capabilities. However, a comparison shows significant root mean squared error reduction with the novel GARCH-MIDAS-LSTM model over GARCH-MIDAS models. Percentage decline in root mean squared errors for forecasts are between 39% to 95% in LSTM augmented models depending on the type of economic indicator used. The proposed approach offers a key tool for investors and policymakers.
ABSTRACT
Modern society is living at a time of revolutionary changes in all areas of human life. For example, the field of industrial manufacturing has greatly influenced the role of human beings during the past 30 years. Modern manufacturing systems are in a phase of transition, in accordance with the concept of the fourth industrial revolution (Industry 4.0). A new manufacturing paradigm based on the principles of Industry 4.0 is presented by Smart Manufacturing Systems (SMS). A basic building block of SMS is cyber-physical production systems (CPPS), which together with innovative-management principles of emergence, self-organization, learning, open innovation, collaboration and the networking of people and organizations are the key principles of Industry 4.0. The three key enablers of Industry 4.0, i.e., the connectivity, the digitization and the cybernation of work processes in manufacturing systems, have paved the way for a new industrial revolution, i.e., Industry 5.0 concept that is bringing about a new paradigm in the field of manufacturing systems, the so-called Adaptive Cognitive Manufacturing Systems (ACMS). A fundamental building block of ACMS is the new generation of manufacturing systems called Cognitive Cyber-Physical Production Systems (C-CPPS), which are based on CPPS concepts and incorporate cognitive technologies and artificial intelligence. This paper presents the revolutionary development of manufacturing and manufacturing systems through the industrial revolutions and the evolution of the role of humans in manufacturing systems towards Industry 5.0.
ABSTRACT
This study explores the indirect effect of corona virus (COVID-19) infections on economic growth in Malaysia using the industrial production index (IPI) as a proxy. Since the prevalence of COVID-19 infection, Malaysia's economy has experienced swindles in its growth, just like other countries economy, and the struggle for survival among countries in which Malaysia's economy is not exceptional becomes the current issue. This study incorporates the COVID-19 indirect impacts on economic growth which is conditional to COVID-19 deaths. It also explains a way forward for recuperation among economic sectors for faster economic growth in Malaysia. This paper uses the Auto Regressive Distributed Lag (ARDL) model to explore the indirect effect of COVID-19 infections on economic growth conditional on COVID-19 deaths in Malaysia. As an empirical study, the data used were monthly secondary data and were obtained from reliable sources. The findings from the results of the ARDL model, considering the unconditional model show that COVID-19 infections have a negative relationship with economic growth in Malaysia. The conditional models used to find the indirect impact of COVID-19 on economic growth considering the interaction of the variables at mean, maximum and minimum, prove that COVID-19 has an indirect negative effect on economic growth when COVID-19 deaths are at their mean and maximum. The marginal effect result shows a negative relationship and significance at 1%, indicating that increase in COVID-19 infections leads to decrease in economic growth in Malaysia conditional to COVID-19 deaths © International Journal of Economics and Management
ABSTRACT
The COVID-19 pandemic has presented a global challenge to the health system. More than 200 years of world epidemiological experience since the first mass use of vaccines have convincingly shown that effective vaccines are the key tools in the fight against dangerous infectious diseases, especially epidemic and pandemic ones. In the context of a rapidly spreading pandemic of a new infectious agent, it is crucial not only to develop fundamentally new vaccines, but also to be able to quickly organise their large-scale production. In the Russian Federation, in 2020, a team of the National Research Centre for Epidemiology and Microbiology named after Honorary Academician N.F. Gamaleya developed an innovative vector vaccine, Gam-COVID-Vac, for the prevention of coronavirus disease caused by the SARS-CoV-2 virus. A number of pharmaceutical companies faced the challenge of producing the vaccine. The aim of the study was to optimise the production technology of Gam-COVID-Vac for scaling and increasing the production capacity. In the course of the work, the authors established critical quality attributes of the product, optimised analytical methods for their control, identified poorly scalable technological stages, streamlined the technological process before its transfer to production, and modified non-scalable and technologically unfeasible stages. The work resulted in the launch of industrial-scale production of active pharmaceutical ingredients for both components of Gam-COVID-Vac, which made it possible not only to meet the critical need for COVID-19 immunoprophylaxis in the Russian Federation, but also to supply this vaccine to a number of foreign countries.Copyright © 2023 Safety and Risk of Pharmacotherapy. All rights reserved.
ABSTRACT
In this study, the asymmetric Granger causality relationship between tourist arrivals and world pandemic uncertainty index is examined by controlling inflation, consumer confidence index, and industrial production for the period 2000M1 and 2020M1 in Italy. To the best of our knowledge, the current study is one of the few studies to investigate the relationship between tourist arrivals and world pandemic uncertainty in an asymmetric framework. The empirical results show that using the Granger causality test in a linear framework causes bias results due to misspecification. Therefore, the study relies on asymmetric Granger causality test results which reveal that the positive shock of world pandemic uncertainty Granger causes a negative shock of tourist arrivals. It is suggested that international tourist arrivals are sensitive to external shocks such as pandemics and in such instances the government of the concerned country can insulate the tourism-service and hospitality industry against the shocks by developing strategies to promote full information between all stakeholders.
ABSTRACT
Cointegration is treated as an important modeling technique to investigate the behavior of macroeconomic variables. The present study tries to examine the equilibrium relationship of the selected macroeconomic variables under VAR environment by considering daily data from January 30,2020, to June 30,2021. The study applies ADF and PP tests to check stationarity and observed stationarity at their first differences with optimum lag lengths of five along with two cointegrated equations. The presence of long-run equilibrium relationship is found when Covid-19 cases and death due to Covid-19 are considered as endogenous variables in VECM equations. There is presence of short-run bidirectional Granger causality between BSE Sensex and Covid-19 spread and also BSE Sensex and Covid-19 death, and absence of significant impact of the endogenous variables during lockdown.
ABSTRACT
La vocación de este artículo es, desde el materialismo histórico, proponer respuestas a la crisis sanitaria de la covid-19. Para ello, planteamos cinco objetivos: plantear la estructura epidémica de la contemporaneidad;reflexionar en torno a las analogías entre cólera morbo, gripe y la covid-19;describir el proceso de fundación de la OMS, el papel de China y las transformaciones del nuevo orden mundial;analizar las consecuencias de la Revolución Ganadera;interpretar el virus chino, desde el contexto de renacimiento de los nacionalismos de estado y relacionarlo con la pandemia de covid-19. Hemos situado el punto de partida en el análisis la estructura epidémica que determina la contemporaneidad desde el cólera morbo (1817-34), la gripe española (1918-20) y la covid-19 (2020-22), es decir, se trata una exploración diacrónica de las diferentes construcciones sociales en torno a las pandemias, desde 1817 hasta 2020. Como tesis central del trabajo, trazamos una aproximación a las consecuencias de la Revolución Ganadera y el cambio climático por causas antropogénicas, y su relación con la salud humana, para desembocar en una posible conexión con la pandemia de covid-19. Pero esta tesis necesita de un análisis histórico en el que se establecen diferentes contextos que se desarrollan desde 1970: el papel de China y sus políticas de apertura a la economía de mercado, que suponen más de mil millones de nuevos consumidores, a partir de los años noventa. Esta nueva situación supondrá la explosión de la demanda de alimentos, así como la consecuente ruptura de muchos ecosistemas, de modo que, a partir de los años noventa, los argumentos ecológicos se convierten en una de las nuevas contradicciones entre el Norte y el Sur. Por otra parte, tratamos de ubicar la pandemia en su contexto más inmediato: el Tratado de Libre Comercio de América del Norte (1993) que firman Canadá, Estados Unidos y México;la desaparición de modelo de pequeñas o medianas granjas en beneficio de explotaciones verticales de millones de cerdos y aves de corral;la evolución de la Organización Mundial de la Salud (OMS), desde 1948, orientada a la cooperación y desarrollo, como factor de equilibrio Norte-Sur hasta su papel durante la pandemia, y, por último, la consolidación de las políticas económicas neoliberales (Hayek-Friedman), que fundamentan la globalización y reconstrucción del nuevo orden mundial. Además, este artículo se ocupa de los efectos que ha producido el estallido y propagación inesperada de la pandemia desde marzo de 2020 en las formas de comunicación política (oficial) de contenidos etnocéntricos y nacionalistas. Ante un problema global de dramáticas consecuencias, la respuesta de los gobiernos se concreta en tácticas populistas cuyo objetivo ha sido la exoneración de sus responsabilidades políticas, económicas, sociales y sanitarias. Tendrá que ser la OMS la que considere imprescindible establecer criterios científicos para referirse a las mutaciones del virus con el fin de acabar con la estigmatización política. La OMS tomará la iniciativa en la denominación de las variantes de interés (VOI) y variantes preocupantes (VOC) neutrales y fáciles de manejar desde el punto de vista de la información.Alternate :From a historical, sociological, and political science perspective, and inspired by the paradigm of historical materialism, this article proposes an approach to the different contexts that circumscribe the outbreak of the Covid-19 pandemic through two types of sources: on the one hand, the bibliography, of a historiographical, sociological and epidemiological nature, in which the collection of articles published in 2020 by Rob Wallace, under the title Big farms, big flus, stands outAgro-industries and infectious diseases, and on the other hand, the primary sources, that is, the work of analysis of the press, especially El País or El Mundo, the Resolutions and communications of the WHO, as well as other diverse documents, located on the internet. This macro-sche atic approach defines our starting point: a reflection on questions such as: What has happened to us? What is happening to us? How can international relations be interpreted? What value does the nationalist shift occupy at the moment? And even, why have we suffered a pandemic with dramatic consequences? With this in mind, the article proposes five objectives: to analyze the epidemic structure of contemporary times, to observe the analogies between cholera morbo, influenza and Covid-19, to describe the founding process of the WHO, the role of China and the transformations of the new world order and finally, to interpret the Chinese virus, from the context of the rebirth of nationalisms and to relate this interpretation to the Covid-19 pandemic. To develop these objectives, we propose a diachronic analysis of the different social constructions around pandemics from 1832 to 2020, likewise, we also intend to establish analogies between the different pandemics and the international relations that developed over three moments: he Asian morbid cholera (1817-34), the Spanish flu (1918-20) and Covid-19 (2020-22). In short, we will define the epidemic structure of contemporaneity. Next, as the central thesis of the work, we propose an approach to the consequences of the Livestock Revolution and climate change due to anthropogenic causes, and its relationship with human health to lead to a possible connection with the Covid-19 pandemic. This thesis needs a historical analysis in which different conditions that develop since 1970, during the third Industrial Revolution, are established. After the demographic explosion of the 1970s, during which time industrial livestock farming has been dominant in the United States, the production model soon spread to Latin America, Asia and Europe in such a way that a gradual relocation is set in motion that will accelerate during the l990s.That is, when Eastern Europe (just like Asia or Latin America) joins the international market and offers attractive deregulation scenarios for international food industries. For this we mainly use the hypotheses of Rob Wallace and K. Shortridge: it is essential to take into account relocation tactics, industrial strategies related to the mass production of poultry meat, and the appearance of new epidemic outbreaks that affect the population since at least 1997 -as well as the origin of typical pneumonia, known as SARS (Severe Acute Respiratory Syndrome) and its relationship with the coronavirus. In addition, the study of this specific context (1970-2020) allows us to understand five vital aspects to interpret the emergence of Covid-19: the decisive role of China and its policies of opening up to the market economy between 1980 and 1985, which accounted for more than one billion new consumers. In the face of this explosion in the demand for food and raw materials, millions of hectares are cleared to establish crop fields, and a large part of the planets ecosystems are destroyed. That is why ecological arguments become one of the new contradictions in the North-South dialectic;the process of collapse of the Soviet Union supposes the rebirth of nationalisms in Europe. From 1990 to 2007, nationalisms are consolidated, grow and evolve towards populist content, useful for the different governments during the financial crisis;the signing of the North American Free Trade Agreement in 1993 between Canada, the United States and Mexico will imply the practical disappearance of the traditional model of small or medium farms in the United States and Mexico, to the benefit of vertical operations of millions of pigs and poultry. In 1998, the first outbreak of swine flu was declared in North Carolina and, later, in Veracruz;the consolidation of neoliberal economic policies (Hayek-Friedman), which support globalization and reconstruction of the new world order;and lastly, the evolution of the functions of the WHO (World Health Organization) since its foundation in 1948. This was oriented towards the cooperation and development of great health campaigns in the third world an as a factor of North-South balance until the shift presented by the secretary General Halfdan T Mahler, who would define the goal of health for all by the year 2000. From this chronological and plot line, we lead to the financial crisis of 2007 to find the specific context in which the pandemic is declared in March 2020. On the other hand, this article deals with the effects that the outbreak and unexpected spread of a new virus has produced in the forms of (official) political communication of ethnocentric and nationalist content.These speeches raised xenophobic markings based on the rapid growth in morbidity and mortality statistics due to the new virus. So the concept of the Chinese virus, a social construction launched by Donald Trump, has configured a biased vision, successful until now, for the benefit of the West. Faced with a global problem with dramatic consequences, the response of governments will take the form of populist tactics whose objective will be the exoneration of their political, economic, social and health responsibilities. Given this situation, it will have to be the WHO that considers it essential to establish scientific criteria to refer to the mutations of the virus in order to end political stigmatization. The WHO will take the lead in naming information-neutral and information-friendly variants of interest (VOI) and variants of concern (VOC), renamed with letters of the Greek alphabet. In short, it is convenient to take into account the populist response of the different governments (United States, Brazil, France or Germany) centered on collective emotions typical of a language of war.
ABSTRACT
A COVID-19 cluster was identified in an industrial manufacturing workforce soon after being recalled to the workplace following a furlough period. All cases in the cluster (21/85) were male, worked on one side of the plant, and took breaks and lunch together. All non-cases worked on the opposite side of the plant and similarly took breaks and lunch together. Review of the timing of return from furlough determined that workplace transmission was possible. However, a high percentage of the cases lived in apartment settings where high neighbourhood incidence rates were observed, whereas that was not the case for non-cases. The investigation illustrates the difficulties of distinguishing potential occupational from community transmission.
ABSTRACT
The COVID-19 pandemic has presented a global challenge to the health system. More than 200 years of world epidemiological experience since the first mass use of vaccines have convincingly shown that effective vaccines are the key tools in the fight against dangerous infectious diseases, especially epidemic and pandemic ones. In the context of a rapidly spreading pandemic of a new infectious agent, it is crucial not only to develop fundamentally new vaccines, but also to be able to quickly organise their large-scale production. In the Russian Federation, in 2020, a team of the National Research Centre for Epidemiology and Microbiology named after Honorary Academician N.F. Gamaleya developed an innovative vector vaccine, Gam-COVID-Vaс, for the prevention of coronavirus disease caused by the SARS-CoV-2 virus. A number of pharmaceutical companies faced the challenge of producing the vaccine. The aim of the study was to optimise the production technology of Gam-COVID-Vac for scaling and increasing the production capacity. In the course of the work, the authors established critical quality attributes of the product, optimised analytical methods for their control, identified poorly scalable technological stages, streamlined the technological process before its transfer to production, and modified non-scalable and technologically unfeasible stages. The work resulted in the launch of industrial-scale production of active pharmaceutical ingredients for both components of Gam-COVID-Vac, which made it possible not only to meet the critical need for COVID-19 immunoprophylaxis in the Russian Federation, but also to supply this vaccine to a number of foreign countries.
ABSTRACT
In 2020, the World Health Organization announced the global COVID-19 pandemic, which was followed by unprecedented constraints on society and the economy. The restrictions imposed had an impact on the transformation in industry and services sectors. The pandemic, however, affected particular industry sections and types of services to a different degree. Overall, the industry sector is assumed to have been less affected by the crisis, because the government restrictions did not embrace industrial production for the most part. Services faced a different situation;some of them were not provided due to top-down decisions. Therefore, the vulnerability of industry and services to such a strong external impact varies. The article aims to identify the degree and trends in changes in industry and services sectors during the COVID-19 pandemic and to determine the regularities stemming from a different degree of vulnerability of both sectors to such a powerful external stimulus. The study examines changes occurring in different industries and types of services (by the Polish Classification of Economic Activity/NACE 2.0) by way of statistical indicator analysis and using Statistics Poland and Eurostat data. The conducted analysis of the COVID-19 pandemic influence on the industry and services sector leads to the conclusions that its impact on the industry sector was very time-limited-a sharp fall in gross value added in industry occurred mainly in the second quarter of 2020. The pandemic had a modest effect on industry employment, primarily as a result of anti-crisis shields and the will to maintain the potential of labour resources. In the services sector, accommodation and food services suffered the most. The significant falls were noted in the transport section as well as cultural, sports and personal services. Business services which were transferred to the Internet and were provided online ended up the most resilient. The ultimate winner of the pandemic is ICT services, especially electronic ones, which have replaced, wherever possible, traditional types of services.
ABSTRACT
The three previous industrial revolutions brought advancements in the steam engine, mass production and the rise of digital technology, respectively. The third one, known as the digital revolution reshaped the manner that people work by enabling the transition to remote working. Recently, the COVID-19 pandemic has accelerated this transition due to the limitations and quarantine procedures relied on during this period. The flexibility that the internet and digitalisation offer to the workplace, on the one hand, and the ease with which international migration may now occur, on the other, pave the way for the birth of a particular type of remote work: digital nomadism. With the lifting of travel limitations, recently, a fresh debate has re-emerged focusing on the potential impact of digital nomadism on future migration patterns. International migration emerges as one of the key arenas where urgent policy-making concerns in relation to digital nomadism are needed. However, to better policy-making, the international migration of digital nomads ought to be considered from sociological and geographical perspectives. This commentary will bring forward relevant policy suggestions in relation to these perspectives by shedding light on the questions of precarity and inequality formed with this particular form of labour mobility.
ABSTRACT
To improve financial sustainability and promote economic stability, it is important to understand the intricate relationship between finance and macroeconomy. Thus, focusing on financial stress and macroeconomic sectors, this paper investigates macro-financial spillovers in China. First, we develop a high-frequency financial stress index based on eight daily financial indicators to measure the stability of China’s financial markets. Through event identification, we find that China’s Financial Stress Index can effectively reflect the stress situation of China’s financial market. Then, given that the traditional co-frequency method fails to deal with financial stress index and macroeconomic data with different frequencies, we employ the mixed-frequency spillover method to evaluate macro-financial spillovers to examine the connectedness between China’s financial market and the real side of the economy. We find that financial stress is the leading net risk output and primarily affects the loan sector;deterioration of economic conditions can lead to more apparent fluctuations in spillover effects, with spillovers from financial stress to others being the most susceptible;within the sample, the 2015 stock crash, U.S.–China trade friction, and COVID-19 have the most impact on macro-financial spillover effects. In addition, we track the results of different risk events on spillover effects across sectors.
ABSTRACT
We present a low‐altitude satellite survey of power line harmonic radiation (PLHR) at 50 Hz over Mainland China. We analyzed the month‐to‐month variation pattern in PLHR occurrence rate and further analyzed its correlation with some influencing factors (i.e., solar radiation, lightning flashes, and electricity consumption) using CSES satellite electric field data from 2019 to 2021. We also investigate the response of PLHR occurrence rate to COVID‐19. The statistical results show the dayside PLHR occurrence rate decreasing from winter to summer solstice and increasing from summer to winter solstice, which indicates it is controlled by the solar radiation. The nightside variation is more complex, which may be due to many sources that could influence the nightside lower ionosphere. The PLHR occurrence rate significantly decreased over Mainland China in February 2020, which is because of the significant decrease in electricity consumption due to the suspension of industrial production caused by COVID‐19.Alternate :Plain Language SummaryPower line harmonic radiation (PLHR) is the electromagnetic waves radiated by electric power systems at harmonic frequencies of 50 or 60 Hz, depending on the frequency of the system on the ground. Previous research mainly focuses on identification of individual PLHR events and their subsequent analysis. However, the number of base‐frequency PLHR signal events is the most abundant, which is suitable for the statistical study of PLHR occurrence rate and its variation pattern, and further study of the factors affecting its variation pattern. In this paper, we use 3 years of electric field data from the China Seismo‐Electromagnetic Satellite (CSES) which is an LEO satellite launched into orbit in February 2018 to investigate the month‐to‐month variation pattern of PLHR occurrence rate over Mainland China and its correlation with the influencing factors. The response of PLHR occurrence rate to COVID‐19 are also investigated.
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Speed read Index shows that green economic growth is based on previous tech expertise Developing countries have smaller industrial base from which to build But lack of historic industrialisation may leave them free to innovate With widespread calls for green transitions in the wake of the COVID-19 crisis, developing countries are predicted to remain at the bottom of the global economic ladder, a study claims. Oil prices have fallen to record lows and climate change is prompting global economic shifts, but low- and middle-income countries risk missing out on green opportunities due to their lack of industrial production expertise. Paul Steele, chief economist at the International Institute for Environment and Development, an independent research organisation, says that developing countries whose economies are less dependent on fossil fuels and monocrops might find it generally easier to transition to the green economy.
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The purpose of this study is to explore the impact of pollution control on industrial production efficiency in 31 provinces and cities in the Yellow River and Non-Yellow River basins in China from 2013 to 2017, using the methods of the directional distance function (hereinafter referred to as DDF) and the technology gap ratio (hereinafter referred to as TGR) in parallel, while taking the industrial production sector (labor force, total capital formation, energy consumption and industrial water consumption) and the pollution control sector (wastewater treatment funds and waste gas treatment funds) as input variables. Undesirable outputs (total wastewater discharge, lead, SO2 and smoke and dust in wastewater) and an ideal output variable (industrial output value) are taken as output variables. It is found that the total efficiency of DDF in the Non-Yellow River Basin is 0.9793, which is slightly better than 0.9688 in the Yellow River Basin. Among the 17 provinces and cities with a total efficiency of 1, only Shandong and Sichuan are located in the Yellow River Basin. The TGR values of 31 provinces, cities and administrative regions are less than 1, and the average TGR value of the Yellow River Basin is 0.3825, which is lower than the average TGR value of the Non-Yellow River Basin of 0.5234. We can start by improving the allocation of manpower and capital, implementing the use of pollution prevention and control funds, improving the technical level of industrial production, improving pollutant emission, and increasing output value to improve overall efficiency performance. This study uses the parallel method, taking the industrial production department and the pollution control department as inputs, to objectively evaluate the changes in industrial production efficiency and technology gap in the Yellow River and Non-Yellow River basins, which is conducive to mastering the situation of pollution control and industrial production efficiency, and provides the reference for SDG-6- and SDG-9-related policy making.