scholarly journals The CO2 emissions drivers of post-communist economies in Eastern Europe and Central Asia

2020 ◽  
Author(s):  
Rui Li ◽  
Jiang Hong ◽  
Iryna Sotnyk ◽  
Oleksandr Kubatko ◽  
Ismail Almashaqbeh Y. A.
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Slovak Republic ◽  
Random Effect ◽  
Random Effect Model ◽  
High Energy ◽  
Carbon Intensity ◽  
Per Capita

Abstract Background. The CO2 emissions became a key environmental contaminant which is responsible for climate change in general and global warming in particular. Two geographical groups of countries that previously belonged to the former bloc of socialist countries are used for the estimations of CO2 emissions drivers of post-communist economies. The research covers such Eastern European countries as Bulgaria, Czech Republic, Hungary, Russian Federation, Poland, Romania, Slovak Republic, and Ukrainian territory as treated by international law and such Central Asian states as Kazakhstan and Uzbekistan during the period 1996-2018. The main goal of the research is to identify common drivers that determine carbon dioxide emissions in selected states. To control for the time fixed affects (like EU membership) random effect model was used for the analysis of panel data set.Results. It is found that energy efficiency has a negative influence on per capita CO2 emissions and an increase in GDP by 100 USD per 1 ton of oil decreases per capita CO2 emissions from 17 to 64 kg per capita. That is the more energy efficient the economy becomes, the less CO2 emissions per capita it produces. Unlike energy efficiency, an increase in GDP per capita by 1000 USD increases CO2 emissions by 260 kilograms per capita, and the richer the economy becomes, the more CO2 emissions per capita it generates. The increase in life expectancy by one year lead on average to increase in CO2 emissions per capita 200 to 370 kilograms per capita, with average values of 260 kilograms per capita. It was found that energy consumption per capita is a factor that positively adds to the CO2 emissions per capita. Oil prices, and foreign direct investment came as statistically insignificant factors.Conclusions. Among the main policy reconditions are the promotion of energy efficiency policy in accordance with EU policies and programs that stimulate a reduction in energy consumption and consequently CO2 emissions per capita. The other measure is the promotion of less energy-intensive service sector instead of building up an industrial sector characterized by high energy and carbon intensity.

scholarly journals The CO2 Emissions Drivers of Post-Communist Economies in Eastern Europe and Central Asia

Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1019
Author(s):  
Rui Li ◽  
Hong Jiang ◽  
Iryna Sotnyk ◽  
Oleksandr Kubatko ◽  
Ismail Almashaqbeh Y. A.
Keyword(s):  
Energy Efficiency ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Slovak Republic ◽  
High Energy ◽  
Industrial Sector ◽  
Green Economy ◽  
Carbon Intensity ◽  
Data Set ◽  
Per Capita

CO2 emissions have become a key environmental contaminant that is responsible for climate change in general and global warming in particular. Two geographical groups of countries that previously belonged to the former bloc of socialist countries are used for the estimations of CO2 emissions drivers. The research covers such Eastern European countries as Bulgaria, Czech Republic, Hungary, Russian Federation, Poland, Romania, Slovak Republic, and Ukraine and such Central Asian states as Kazakhstan and Uzbekistan during the period 1996–2018. The main goal of the research is to identify common drivers that determine carbon dioxide emissions in selected states. To control for the time fixed effects (like EU membership), random effect model was used for the analysis of the panel data set. Results: It is found that energy efficiency progress reduces per capita CO2 emissions. Thus, an increase in GDP by 100 USD per one ton of oil equivalent decreases per capita CO2 emissions by 17–64 kg. That is, the more energy-efficient the economy becomes, the less CO2 emissions per capita it produces in a group of selected post-communist economies. Unlike energy efficiency, an increase in GDP per capita by 1000 USD raises CO2 emissions by 260 kg per capita, and the richer the economy becomes, the more CO2 emissions per capita it generates. The increase in life expectancy by one year leads to an increase in CO2 emissions per capita by 200−370 kg, with average values of 260 kg per capita. It was found that an increase in agriculture, forestry, and fishing sector share (as a % of GDP) by one percentage point leads to the decrease in CO2 emissions by 67–200 kg per capita, while an increase in industrial sector share by one percentage point leads to the increase in CO2 per capita emissions by 37–110 kg. Oil prices and foreign direct investment appeared to be statistically insignificant factors in a group of selected post-communist economies. Conclusions: The main policy recommendation is the promotion of energy efficiency policy and the development of green economy sectors. The other measures are the promotion of a less energy-intensive service sector and the modernization of the industrial sector, which is still characterized by high energy and carbon intensity.

scholarly journals Reduction of CO2 Emissions Due to Energy Use in Crete-Greece

2016 ◽  
Vol 6 (1) ◽  
pp. 23 ◽  
Author(s):  
John Vourdoubas
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Fossil Fuels ◽  
Energy Use ◽  
Heating Oil ◽  
Per Capita ◽  
Reduction Of Co2 ◽  
Negative Growth

Use of fossil fuels in modern societies results in CO2 emissions which, together with other greenhouse gases in the atmosphere, increase environmental degradation and climate changes. Carbon dioxide emissions in a society are strongly related with energy consumption and economic growth, being influenced also from energy intensity, population growth, crude oil and CO2 prices as well as the composition of energy mix and the percentage of renewable energies in it.The last years in Greece, the severe economic crisis has affected all sectors of the economy, has reduced the available income of the citizens and has changed the consumers’ behavior including the consumption of energy in all the activities. Analysis of the available data in the region of Crete over the period 2007-2013 has shown a significant decrease of energy consumption and CO2 emissions due to energy use by 25.90% compared with the reduction of national G.D.P. per capita over the same period by 25.45% indicating the coupling of those emissions with the negative growth of the economy. Carbon dioxide emissions per capita in Crete in 2013 are estimated at 4.96 tons. Main contributors of those emissions in the same year were electricity generation from fuel and heating oil by 64.85%, heating sector by 3.23% and transportation by 31.92%.

scholarly journals Spatial Heterogeneity of Factors Influencing CO2 Emissions in China’s High-Energy-Intensive Industries

2021 ◽  
Vol 13 (15) ◽  
pp. 8304
Author(s):  
Shijie Yang ◽  
Yunjia Wang ◽  
Rongqing Han ◽  
Yong Chang ◽  
Xihua Sun
Keyword(s):  
Carbon Dioxide ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Direct Investment ◽  
Technological Progress ◽  
High Energy ◽  
Factors Affecting ◽  
Main Factors ◽  
Per Capita ◽  
Energy Intensive Industries

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.

scholarly journals Spatiotemporal Trajectory of China’s Provincial Energy Efficiency and Implications on the Route of Economic Transformation

2018 ◽  
Vol 10 (12) ◽  
pp. 4582 ◽  
Author(s):  
Chao Xu ◽  
Yunpeng Wang ◽  
Lili Li ◽  
Peng Wang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Growth Rates ◽  
Industrial Structure ◽  
High Energy ◽  
Economic Transformation ◽  
Trajectory Clustering ◽  
Long Period ◽  
Per Capita ◽  
Spatiotemporal Trajectories

A comparative analysis of the spatiotemporal trajectory of energy efficiency (STEE) among the provinces in China over the past 21 years was conducted based on a quadrant diagram of the GDP per capita and the energy consumption per capita. An energy macro-efficiency per capita indicator (EMEPCI) was established using the energy consumption data of 30 Chinese provinces from 1996 to 2016. The spatiotemporal trajectory clustering method (STCM) and the industrial structure upgrading index (ISUI) were used for an exploratory analysis of the driving force of the changes in the STEE. The results showed the following: (1) The growth rate and amplitude of energy efficiency differed by province. From a geospatial perspective, the energy efficiency of the eastern regions was higher than that of the western regions, and that of the southern regions was higher than that of the northern regions. The growth trends demonstrated a pattern in which the provinces with higher energy efficiency had higher growth rates, whereas the provinces with lower energy efficiency showed lower growth rates. (2) The majority of the Chinese provinces, particularly the southwest region and the regions near the middle stream of the Yangtze River, were still undergoing a development process. Thus, it is necessary to pay attention to the adjustment of the economic development model to avoid shifting towards quadrants I or II, where the energy consumption is higher. (3) A spatiotemporal trajectory clustering analysis grouped the different provinces into four categories. Besides the majority of the provinces, which remained in quadrant III, Beijing, Shanghai, and Tianjin have remained in the “dual-high” quadrant for long period of time and are shifting towards quadrant IV. The trajectory of the second group was characterized by movement almost directly from the “dual-low” quadrant (III) towards the target quadrant (IV). The common feature of the energy efficiency trajectory of the third group was that they remained in the high energy consumption and low GDP quadrant for a relatively long period, and immediate changes were required in their development models. (4) The provinces with a similar industrial structure transformation level were more likely to have similar spatiotemporal trajectories of energy efficiency. Particularly, provinces with a similar level of transformation from secondary industries to tertiary industries enjoyed a greater probability of transformation as well as similar spatiotemporal trajectories of energy efficiency.

Economic Growth And Carbon Dioxide Emissions: The Environmental Kuznets Curve Hypothesis In Yemen

2021 ◽  
Vol 2021 (68) ◽  
pp. 42-58
Author(s):  
Essa Alhannom ◽  
Ghaleb Mushabab
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

Abstract This study investigates the validity of the Environmental Kuznets Curve hypothesis in Yemen and the causal relationships between Carbon dioxide emissions, per capita income, energy consumption, trade openness, and industrial share to GDP. ARDL bounds testing approach to cointegration, Error Correction Model, and Toda-Yamamoto procedure to Granger causality techniques were employed on annual data covering the period from 1990 to 2010. long run relationship between CO2 emissions and its determinants with significant effects for per capita GDP and trade openness, whereas, energy consumption and trade openness appear to be important determinants of CO2 emissions in the short run. Besides, based on Narayan and Narayan (2010) approach, it is found that the EKC hypothesis does not hold in Yemen and therefore the effect of per capita income on CO2 emissions is monotonically increasing. Toda-Yamamoto causality test proved the existence of bidirectional causal relationships between economic growth and CO2 emissions, between energy consumption and economic growth, and between trade openness and energy consumption

scholarly journals Evaluation of Sustainable Energy Development Progress in EU Member States in the Context of Building Renovation

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4209
Author(s):  
Rita Remeikienė ◽  
Ligita Gasparėnienė ◽  
Aleksandra Fedajev ◽  
Marek Szarucki ◽  
Marija Đekić ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Renewable Energy Sources ◽  
Investment Efficiency ◽  
The European Union ◽  
Energy Usage ◽  
Member States ◽  
Eu Member States ◽  
The Eu

The main goal of setting energy efficiency priorities is to find ways to reduce energy consumption without harming consumers and the environment. The renovation of buildings can be considered one of the main aspects of energy efficiency in the European Union (EU). In the EU, only 5% of the renovation projects have been able to yield energy-saving at the deep renovation level. No other study has thus far ranked the EU member states according to achieved results in terms of increased usage in renewable sources, a decrease in energy usage and import, and reduction in harmful gas emissions due to energy usage. The main purpose of this article is to perform a comparative analysis of EU economies according to selected indicators related to the usage of renewable resources, energy efficiency, and emissions of harmful gasses as a result of energy usage. The methodological contribution of our study is related to developing a complex and robust research method for investment efficiency assessment allowing the study of three groups of indicators related to the usage of renewable energy sources, energy efficiency, and ecological aspects of energy. It was based on the PROMETHEE II method and allows testing it in other time periods, as well as modifying it for research purposes. The EU member states were categorized by such criteria as energy from renewables and biofuels, final energy consumption from renewables and biofuels, gross electricity generation from renewables and biofuels and import dependency, and usage of renewables and biofuels for heating and cooling. The results of energy per unit of Gross Domestic Product (GDP), Greenhouse gasses (GHG) emissions per million inhabitants (ECO2), energy per capita, the share of CO2 emissions from public electricity, and heat production from total CO2 emissions revealed that Latvia, Sweden, Portugal, Croatia, Austria, Lithuania, Romania, Denmark, and Finland are the nine most advanced countries in the area under consideration. In the group of the most advanced countries, energy consumption from renewables and biofuels is higher than the EU average.

Impact of urbanization on per capita energy use and emissions in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stuti Haldar ◽  
Gautam Sharma
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Population Density ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Energy Use ◽  
Energy Intensity ◽  
Series Data ◽  
Content Type ◽  
Per Capita

Purpose The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India. Design/methodology/approach The present study analyses the effects of urbanization on energy consumption patterns by using the Stochastic Impacts by Regression on Population, Affluence and Technology in India. Time series data from the period of 1960 to 2015 has been considered for the analysis. Variables including Population, GDP per capita, Energy intensity, share of industry in GDP, share of Services in GDP, total energy use and urbanization from World Bank data sources have been used for investigating the relationship between urbanization, affluence and energy use. Findings Energy demand is positively related to affluence (economic growth). Further the results of the analysis also suggest that, as urbanization, GDP and population are bound to increase in the future, consequently resulting in increased carbon dioxide emissions caused by increased energy demand and consumption. Thus, reducing the energy intensity is key to energy security and lower carbon dioxide emissions for India. Research limitations/implications The study will have important policy implications for India’s energy sector transition toward non- conventional, clean energy sources in the wake of growing share of its population residing in urban spaces. Originality/value There are limited number of studies considering the impacts of population density on per capita energy use. So this study also contributes methodologically by establishing per capita energy use as a function of population density and technology (i.e. growth rates of industrial and service sector).

scholarly journals PENGARUH PEREKONOMIAN DAN JUMLAH PENDUDUK TERHADAP PERMINTAAN BAHAN BAKAR MINYAK DI INDONESIA

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Yurlis Sartika ◽  
Syamsul Amar
Keyword(s):  
Energy Consumption ◽  
Human Life ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Industrial Sector ◽  
Fuel Oil ◽  
Economic Activities ◽  
Economic Sectors ◽  
Effect Model

Abstract : This study aims to analyze the factors that influence the demand for fuel oil in Indonesia. The independent variables of this study are: (X1) Economy, (X2) Total Population. The model chosen in this study is the Random Effect Model (REM).            This type of research is descriptive and associative research, the data used in this study are secondary data using panel data techniques during the 2015-2018 period. Documentation data collection techniques obtained from the Central Statistics Agency and BPH Migas. Data were analyzed using the Regression Panel.   The results of this study indicate that: (1) The economy has a positive and significant effect on demand for fuel oil in Indonesia. This means that as the economy increases, the demand for fuel oil in Indonesia also increases. Indonesia's energy consumption is dominated by fossil energy, especially fuel. Final energy consumption consists of various sectors, namely households, industry, transportation, commercial, and others. Energy is very much needed in carrying out Indonesia's economic activities, both for consumption needs and for the production activities of various economic sectors. (2) The population has a positive and significant effect on the demand for fuel oil in Indonesia. This means that the greater the population, the higher the demand for fuel oil in Indonesia. From year to year the population of Indonesia as one of the developing countries in the world continues to experience growth. This growth has had various impacts on aspects of human life. One aspect that is quite affected by the increase in population is the use of energy to support the necessities of life which includes the industrial sector, households, transportation and so forth. The greater the population, the greater the energy used. Keywords : Economy, Population and Panel Regression

scholarly journals PENGARUH VARIABEL MAKROEKONOMI TERHADAP DANA PIHAK KETIGA BANK UMUM SYARIAH DI INDONESIA

2020 ◽  
Vol 4 (1) ◽  
pp. 164
Author(s):  
Muhammad Dzulfaqori Jatnika
Keyword(s):  
Interest Rates ◽  
Commercial Banks ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Third Party ◽  
Ordinary Least Square ◽  
Effect Model ◽  
Per Capita ◽  
The Right

Tujuan penelitian ini  adalah menganalisis pengaruh faktor makroekonomi yaitu nilai tukar, inflasi, suku bunga, dan GDP per kapita terhadap dana pihak ketiga di bank umum Syariah. Penelitian ini merupakan penelitian kuantitatif dengan data sekunder yang berupa data panel. Teknik analisis yang digunakan adalah metode analisis linier berganda Ordinary Least Square (OLS). Hasil uji Hausman menunjukan model yang tepat dalam penelitian ini adalah random effect model. Semua variabel signifikan, variabel inflasi dan nilai tukar memiliki pengaruh positif sedangkan variabel suku bunga dan GDP per kapita memiliki pengaruh yang negatif terhadap dana pihak ketiga di bank umum Syariah. Hasil penelitian ini memiliki implikasi bagi para pelaku usaha perbankan untuk menentukan waktu yang tepat dalam menarik dan menyalurkan dana pihak ketiga dari masyarakat. Dan dapat menjadi acuan untuk mengeluarkan kebijakan terkait bisnisnya. Dan bagi peneliti selanjutnya dapat menjadi acuan untuk mengembangkan kembali penelitian berikutnya. Pada penelitian selanjutnya diharapkan dapat menambah variabel-variabel terkait lainnya selain variabel yang telah diteliti dalam penelitian ini. Kebaruan dalam penelitian ini adalah tambahan variabel yang mempengaruhi dana pihak ketiga dan juga tambahan sampel bank umum Syariah sehingga diharapkan penelitian ini lebih mendalam daripada penelitian sebelumnya.  The purpose of this study is to analyze the influence of macroeconomic factors, namely the exchange rate, inflation, interest rates, and GDP per capita on third party funds in Islamic commercial banks. This research is a quantitative study with secondary data in the form of panel data. The analysis technique used is the Ordinary Least Square (OLS) multiple linear analysis method. The Hausman test results showed the right model in this study was the random effect model. All variables are significant, inflation and exchange rates have a positive effect while interest rates and GDP per capita have a negative effect on third-party funds in Islamic commercial banks. The results of this study have implications for banking businesses to determine the right time in attracting and channelling third party funds from the public. And can be a reference for issuing policies related to business. And for further researchers can be a reference to develop further research. In the next research, it is expected to be able to add other related variables besides the variables that have been examined in this study. The novelty in this study is the addition of variables that affect third party funds and also additional samples of Islamic commercial banks so that this research is expected to be more in-depth than previous research.

scholarly journals Energy benchmarking in educational buildings in the city of Kragujevac - possibilities for energy efficiency improvement

2021 ◽  
Vol 18 (1) ◽  
pp. 95-114
Author(s):  
Ana Radojevic ◽  
Danijela Nikolic ◽  
Jasna Radulovic ◽  
Jasmina Skerlic
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy Sources ◽  
Efficiency Improvement ◽  
Energy Efficiency Improvement ◽  
Energy Benchmarking

The implementation of energy efficiency measures and use of renewable energy sources in educational buildings can significantly contribute to reducing energy consumption, but also to CO2 emissions in the entire public sector. The paper shows the comparison of energy consumption indicators for 61 elementary school buildings which have previously been divided in 12 groups, according to the period of construction and size, based on the national typology called TABULA, as the first step of further study on how to use the renewable energy sources. The aim of this paper is to use the energy benchmarking process to select representative facilities which are suitable for applying renewable energy sources, for their further energy efficiency improvement. Indicators of annual specific electricity consumption and CO2 emissions per unit area [kWh/m2] and per user [kWh/user] were calculated. After that, from two groups (in which the highest electricity consumption and CO2 emissions are 68.37% and 74.53% of the total consumption/ emissions), one representative facility was selected.

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