IMPACT OF THE COVID-2019 PANDEMIC ON THE BORDER TERRITORIES POPULATION EMPLOYMENT

The impact of the COVID-2019 pandemic varies significantly across different groups of countries, depending on their level of socioeconomic development and the type of national anti-COVID policies. The author considers the features of the social consequences of the covid-crisis in catch-up countries using the case of China, where in 2020–2022 an artificial isolation was effected as a part zero tolerance policy. The study is based on a sociological survey conducted by the author (N = 4842) using a random sampling in two cities of the Northeastern provinces of the PRC, bordering the Primorsky Territory of the Russian Federation, and significantly dependent on economic ties with Russia sharply decreased during the pandemic. Many specific changes in employment of the population were revealed: a general decline in the standard of living (almost 2/3 of the respondents), mass layoffs (more than a quarter), increase in gender inequality. It was found that the impact of the pandemic on employment and quality of life is especially negative for China's informally employed population. © 2022, Russian Academy of Sciences. All rights reserved.

Impact of the Covid-2019 Pandemic on the Border Territories Population Employment

The impact of the COVID-2019 pandemic varies significantly across different groups of countries, depending on their level of socioeconomic development and the type of national anti-COVID policies. The author considers the features of the social consequences of the covid-crisis in catch-up countries using the case of China, where in 2020-2022 an artificial isolation was effected as a part zero tolerance policy. The study is based on a sociological survey conducted by the author (N = 4842) using a random sampling in two cities of the Northeastern provinces of the PRC, bordering the Primorsky Territory of the Russian Federation, and significantly dependent on economic ties with Russia sharply decreased during the pandemic. Many specific changes in employment of the population were revealed: a general decline in the standard of living (almost 2/3 of the respondents), mass layoffs (more than a quarter), increase in gender inequality. It was found that the impact of the pandemic on employment and quality of life is especially negative for China's informally employed population.

Decoupling and decomposition analysis of investments and CO2 emissions in information and communication technology sector.

Organization of Economic Cooperation and Development (OECD) economies are facing a substantial increase in the information and communication technology (ICT) investments in the context of rapid spread of the Coronavirus Disease-2019 (COVID-2019) pandemic and constraints of emissions reduction. However, the mechanism of the impact of ICT investments on carbon dioxide is still unclear. Therefore, by employing the decoupling-factor model and Generalized Divisia Index Method, we explore the decoupling states of ICT investments and emission intensity, and the driving factors of ICT investments' scale, intensity, structure, and efficiency effects on carbon emissions in 20 OECD economies between 2000 and 2018. The results indicate that the number of economies with an ideal state of strong decoupling rose to nine between 2009 and 2018 compared to no economies between 2000 and 2009. The emission intensity of ICT investments contributes to a significant increase of carbon emissions, and the structure and efficiency of ICT investments always restrain the growth of carbon emissions. Significant emissions changes caused by the driving factors are shown in many economies before and after the crisis, reflecting the differences in the strategic choices of ICT investments and the impact on emissions due to the crisis such as the COVID-2019 pandemic. And policy implications for energy and carbon dioxide mitigation strategies in the post-COVID-2019 era are also provided.

Lockdown Policies: A Macrodynamic Perspective for COVID-19

The COVID-19 pandemic has produced a global health and economic crisis. The entire world has faced a trade-off between health and recessionary effects. This paper investigates this trade-off according to a macro-dynamic perspective. We set up and simulate a Dynamic Stochastic General Equilibrium model to analyze the COVID-19 contagion within an economy with endogenous dynamics for the pandemic, variable labor utilization, and four lockdown policies with different degrees of size and duration. There are three main results in this study. First, the model matches rather well with the main European economies’ preliminary stylized facts during the COVID-19 pandemic. In particular, a temporary lockdown policy reduces the epidemic’s size but exacerbates the recession’s severity. The negative peak in aggregate production ranges from 10 percent with a soft containment measure to 25 percent with a strong containment measure;second, recovery from recession emerges when the lockdown policy is relaxed. On that basis, the output return to its pre-lockdown level after about 50 weeks. Third, sectors characterized by flexible and capital-intensive technology suffer a more severe slowdown.

The impact of the COVID-19 pandemic on asthma treatment in Japan: Perspectives based on doctors' views.

The coronavirus disease 2019 (COVID-19) pandemic has had a great influence on medical practice in Japan. In this study, an online questionnaire-based survey was conducted among doctors routinely involved in the treatment of asthma. The questions included in the survey pertained to their thoughts on asthma treatment amidst COVID-19, changes in their clinical approach toward patients with asthma, and the behavioral changes in patients in the pandemic era. The results revealed a significant impact of the pandemic on asthma treatment. Regardless of whether or not they were directly involved in the treatment of patients with COVID-19, the doctors had avoided using nebulizers in outpatient wards/clinics and routine pulmonary function testing. An increase in canceled appointments and inappropriate/non-adherence to treatment among their patients were noticeable. Furthermore, the survey revealed an extensive impact of the pandemic on the doctors engaged in asthma treatment irrespective of the differences in their medical backgrounds.

Using the kalman filter with Arima for the COVID-19 pandemic dataset of Pakistan.

The current pandemic of the Novel Corona virus (COVID-19) has resulted in multifold challenges related to health, economy, and society, etc. for the entire world. Many mathematical epidemiological models have been tried for the available data of the COVID-19 pandemic with the core objective to observe the trend and trajectories of infected cases, recoveries, and deaths, etc. However, these models have their own assumptions and parameters and vary with regional demography. This article suggests the use of a more pragmatic approach of the Kalman filter with the Autoregressive Integrated Moving Average (ARIMA) models in order to obtain more precise forecasts for the figures of prevalence, active cases, recoveries, and deaths related to the COVID-19 outbreak in Pakistan.