scholarly journals Carbon Dioxide Emissions: A Dynamic Panel Analysis of Energy Intensive Industries in Egypt

2021 ◽  
Vol 10 (3) ◽  
pp. 109
Author(s):  
Iman Al-Ayouty ◽  
Hoda Hassaballa ◽  
Maha El Hini

Most energy intensive industries are high carbon dioxide (CO2) emitters. As CO2 emissions show large discrepancies between regions, it is important to test for spatial dependence when estimating emissions. The present study thus examines spatial dependence of CO2 emissions for the twenty-seven governorates of Egypt over the period 2007-2016. Determinants of CO2 emissions include road network density, investments in fixed assets, the structure of economic activity, the share of females, and the various levels of education in the regions’ respective population. Incorporating the spatial dimension, as well as using female and educational levels amongst the determinants, are contributions to research done on CO2 emissions in Egypt. Estimation results indicate that CO2 emissions across governorates are spatially-random rather than spatially-dependent. The study therefore uses a generalized method of moments (GMM) dynamic panel model. The lag of CO2 emissions per capita, net fixed capital formation, share of illiterates in the working age population, and the share of services in economic activity are significant and have positive effects (increasing emissions). The share of females in working age population, and the share of agriculture in economic activity are significant and have negative effects (diminishing emissions). Policy implications based on the study results are given.

Author(s):  
Ľubica Hurbánková ◽  

The paper deals with the analysis of unemployment in European Union countries on the basis of data of the unemployment rate and the number of unemployed. The data are obtained from the Eurostat website. The aim of the paper is to find out how the number of unemployed in individual EU countries changed in 2018 compared to 2009, in which country the number of unemployed increased the most, in which the least. Appropriate tools of economic statistics are used for the analysis. Based on a four-factor model of the analysis of the number of unemployed, we find out how this indicator has changed depending on the change in the unemployment rate, the economic activity rate, the share of the working age population in the total population, and the total population. The application of statistical method is implemented through the programme Microsoft Office Excel.


2021 ◽  
Vol 13 (15) ◽  
pp. 8304
Author(s):  
Shijie Yang ◽  
Yunjia Wang ◽  
Rongqing Han ◽  
Yong Chang ◽  
Xihua Sun

In recent years, China has overtaken the United States as the world’s largest carbon dioxide (CO2) emitter. CO2 emissions from high-energy-intensive industries account for more than three-quarters of the total industrial carbon dioxide emissions. Therefore, it is important to enhance our understanding of the main factors affecting carbon dioxide emissions in high-energy-intensive industries. In this paper, we firstly explore the main factors affecting CO2 emissions in high-energy-intensive industries, including industrial structure, per capita gross domestic product (GDP), population, technological progress and foreign direct investment. To achieve this, we rely on exploratory regression combined with the threshold criteria. Secondly, a geographically weighted regression model is employed to explore local-spatial heterogeneity, capturing the spatial variations of the regression parameters across the Chinese provinces. The results show that the growth of per capita GDP and population increases CO2 emissions; by contrast, the growth of the services sector’s share in China’s gross domestic product could cause a decrease in CO2 emissions. Effects of technological progress on CO2 emissions in high-energy-intensive industries are negative in 2007 and 2013, whereas the coefficient is positive in 2018. Throughout the study period, regression coefficients of foreign direct investment are positive. This paper provides valuable insights into the relationship between driving factors and CO2 emissions, and also gives provides empirical support for local governments to mitigate CO2 emissions.


1987 ◽  
Vol 26 (4) ◽  
pp. 687-698 ◽  
Author(s):  
M. Ghaffar Chaudhry ◽  
Zubeda Khan

Labour supply is a key element in socio-economic development, and although the size, growth and composition of population have a strong bearing on its supply in an economy, the actual labour supply is a function of the labour force participation rate defined as the ratio of the population engaged in or seeking gainful employment to the working-age population. In Pakistan gainful employment means not only work for pay or profit but also unpaid help from family members, and the working-age population refers to the group of those aged 10 years or more. Although the use of labour force for computing participation rates has been criticised on the ground that it lays undue emphasis on market activities which have little relevance tb the less developed countries, particularly to the rural sector, (Standing 1978), it is nonetheless useful in studying household decisions regarding allocation of available time between productive and non-productive activities (Rees 1973). It is basically this division of labour between productive and non-productive activities that sheds light on the degree of development of an economy and, therefore, on the organization of factors of production (Yotopoulos 1986). The significance of rural participation rates, especially those of females, is noteworthy in this regard as there is a positive association between female productive work and the level of development achieved (Denti 1968). Female participation rates are also important for a proper understanding of the productive and reproductive roles of the population. As more than 70 percent of rural population depends on agriculture for its livelihood and rural females are nearly half of the total, their participation rates may be of critical importance in determining the rates of saving, investment and productivity in agriculture. It may also be noted that availability of labour in agriculture is also a function of the ready availability of female labour, especially for such operations as are performed exclusively by females, e.g. cotton picking.


2021 ◽  
Vol 3 (4(59)) ◽  
pp. 46-50
Author(s):  
Serhii Voitko ◽  
Tetiana Mazanko

The object of research is the processes of reducing economic activity in Ukraine and the world during COVID-restrictions, reducing the amount of carbon dioxide emissions in 2020 compared to 2019 by country and in various sectors of the economy. The most topical researches and publications in which the given questions are covered are analyzed. Based on statistical data, the paper shows a slight decline in Ukraine's GDP in 2020. Based on the consideration of the negative impact of quarantine restrictions, it was noted that the type of economic activity (EA) such as passenger transport suffered the most. At the same time, as the production of foreign trade, the performance of retail trade and construction has improved its dynamics. Elsewhere in the world, there has also been a slight economic downturn, while China has been able to maintain a slight increase in GDP. For 2021, there is a positive outlook for economic growth. The introduction of lockdowns and quarantine restrictions has led to a simultaneous reduction in CO2 emissions worldwide and reduced the negative impact on the environment. Thanks to the data of carbon dioxide emissions monitoring, it is possible to see a significant reduction in emissions since the beginning of COVID-restrictions in 2020. At the end of the year, the level of emissions reached almost the same level as before the restrictions, but the total volume for the year decreased significantly. If to look at the sectors, the largest amount of carbon dioxide emissions decreased in the aviation sector. This also applies to the land transport sector. Peaks of falling CO2 emissions occur in April 2020. The study showed that the reduction in economic activity due to «lockdowns» and quarantine restrictions affected the fall in energy consumption, especially in the aviation and land transport sectors, and this, in turn, led to a reduction carbon dioxide. This duly explains the relationship between declining economic growth and reducing CO2 emissions. The conducted research will be of interest to relevant ministries and departments in terms of their areas of responsibility, relevant organizations dealing with environmental and economic research, specialists who study and use in practice research on socio-economic problems of society.


Author(s):  
Semyonova V. G. ◽  
◽  
Ivanova A. E. ◽  
Sabgayda T. P. ◽  
Zubko A. V. ◽  
...  

Author(s):  
Valentin N. Druzhinin ◽  
Vadim G. Suvorov ◽  
Nikolay V. Druzhinin ◽  
Aleksandr N. Cherniyi ◽  
Sergey N. Troynyakov

Currently, the problem of reducing the risk of developing fat liver hepatosis from exposure to household and industrial toxicants among the working-age population continues to be an important medical and social problem, since not timely diagnosis of the disease can lead to its progressive course with the development of inflammatory changes, necrosis and liver fibrosis up to cirrhosis and hepatocellular cancer. In this regard, the search for methods and techniques that optimize the diagnosis of fat hepatosis is relevant. Modern methods of radiation diagnostics of liver density characteristics can significantly reduce subjectivity in the assessment of changes due to the use of quantitative indicators. The aim of study - improving the quality of x-ray diagnostics of fat liver disease based on a precision assessment of the density of the liver parenchyma using computed tomography. A comparative retrospective analysis of the results of a comprehensive clinical and radiological examination of 115 men of working age in the range of 40-55 years was performed. The main group (48 people) - employees of machine-building plants: shapers, stumpers, fitters-assemblers who had industrial contact with such factors as local vibration, dust, noise, muscle strain, burdened with a long alcoholic history and the presence of signs of metabolic syndrome: hyperlipidemia, impaired tolerance to carbohydrates, diabetes, abdominal obesity. The comparison group included representatives of auxiliary professions without clinical signs of pathology (47 people), comparable in age and experience with the main group. X-ray examinations were performed using computer tomographs: "HI Spead CT/e Dual" by GE Medical Systems and "Aqulion 64" by Toshiba. To measure the liver density in Hounsfield units (HU), the ROI (zone of interest) tool was used, which allows determining the desired value over areas of different dimensions. Measurements were performed on computer screens in 4 zones of interest at 4 levels of scanning of the liver lobes (apex, level of the caval gate, level of the left lobe, level of the portal gate) with the calculation of the average values of the density index (IDH) and density gradients (IDG) relative to the aorta, spleen and kidney. Analysis of the results of a posteriori CT densitometry of various parts of the liver within the framework of the developed algorithm, including the use of absolute and relative (gradient) x-ray density indicators of hepatic, vascular (aorta),splenic and renal structures, allowed us to expand our understanding of the quantitative density characteristics both in normal and in patients with signs of diffuse fat hepatosis (FH). It was found that the liver parenchyma density indicators can be a kind of (conditional), sometimes the only indicators of the degree of severity of changes that objectively manifest positive or negative dynamics of pathophysiological processes and, in particular, at the initial stages of the development of the studied pathology. Density differences in the right and left liver parenchyma in the control group (conditional norm) in terms of absolute density and its gradient, regardless of the level of scanning, were insignificant (statistically unreliable). In patients with clinical signs of fatty liver infiltration at the stage of steatosis, in the absence of x-ray morphologically detectable structural changes, a decrease in IDH and the dynamics of its increase (recovery) at various stages of observation were revealed. Even with comparatively equal IDH of the evaluated departments, the IDG of different people differed, manifesting the individuality of metabolic processes occurring in the body, in particular in the liver, is a kind of indicator of their direction and severity. The significance of density indicators as predictors of the subsequent stages of the pathology under consideration was particularly evident in the analysis of the results of primary diagnostics and its development in the dynamics of observations. The application of the developed methodological approach allowed us to expand our understanding of the possibilities of KT-liver densitometry in patients with metabolic syndrome (hyperlipidemia, impaired carbohydrate tolerance, diabetes mellitus, abdominal obesity) in the diagnosis of fatty liver disease (FLD) at various stages of examination, including in the early subclinical phases of pathology development. The results obtained indicate the predominant role of ethyl alcohol as a hepatotoxicant in the development of FLD in the estimated cohort of the working-age population. The use of an original algorithm for evaluating tissue density makes it possible to significantly ensure the objectivity of the interpretation of research results.


Author(s):  
S. Voronkova

The article discusses ways to obtain information about risk factors and the health status of the population. The article describes a new information system «labor Medicine», which allows to organize the collection of a wide range of data for further analysis and application in the activities of various Executive authorities, public organizations, foundations, legal entities and citizens. It is proposed to improve this system by expanding the types of information collected, creating a passport for health promotion organizations, as well as integration with systems that are being implemented in the Russian Federation for managing the health of the working-age population in the context of state policy in the field of Informatization.


2019 ◽  
pp. 80-86
Author(s):  
T. P. Skufina ◽  
S. V. Baranov

The presented study considers the susceptibility of gross domestic product (GDP) production to a shift in the number of the working-age population due to an increase in retirement age starting with 2019.Aim. The study aims to examine the quantitative assessments of GDP production in Russia with allowance for the changes in the number of the working-age population due to an increase in the actual retirement age.Tasks. The authors forecast the number of the working-age population with allowance for an increase in the retirement age; develop a model to establish a correlation between the number of the workingage population, investment in fixed capital, and GDP production; quantify the impact of the shift in the number of the working-age population on GDP production in Russia. Methods. This study is based on the results of modeling and long-term forecasting.Results. An economic-mathematical model to establish a correlation between the number of the working-age population, investment in fixed capital, and GDP production is presented. To specify the economic effects of a shift in the number of the working-age population due to an increase in the retirement age, Russia’s GDP production is forecasted for the “old” and “new” (increased retirement age) pension scheme. The forecast is provided for three variants of the number of the working-age population.Conclusions. It is found that with the “old” pension scheme with a lower retirement age GDP production across all three variants will decrease by 2036 compared to 2017. With regard to the “new” scheme that increases the retirement age, it is concluded that an increase in the retirement age is a factor that facilitates GDP production. However, its effect on economic growth will be insignificant.


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