scholarly journals Forecast of Carbon Dioxide Emissions from Energy Consumption in Industry Sectors in Thailand

2018 ◽  
Vol 22 (1) ◽  
pp. 107-117 ◽  
Author(s):  
Pruethsan Sutthichaimethee ◽  
Danupon Ariyasajjakorn
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Population Growth ◽  
Statistical Model ◽  
Data Model ◽  
Carbon Dioxide Emissions ◽  
Gdp Growth ◽  
Input Output ◽  
Minor Error ◽  
Industry Sectors

Abstract The aim of this research is to forecast CO2emissions from consumption of energy in Industry sectors in Thailand. To study, input-output tables based on Thailand for the years 2000 to 2015 are deployed to estimate CO2emissions, population growth and GDP growth. Moreover, those are also used to anticipate the energy consumption for fifteen years and thirty years ahead. The ARIMAX Model is applied to two sub-models, and the result indicates that Thailand will have 14.3541 % on average higher in CO2emissions in a fifteen-year period (2016-2030), and 31.1536 % in a thirty-year period (2016-2045). This study hopes to be useful in shaping future national policies and more effective planning. The researcher uses a statistical model called the ARIMAX Model, which is a stationary data model, and is a model that eliminates the problems of autocorrelations, heteroskedasticity, and multicollinearity. Thus, the forecasts will be made with minor error.

scholarly journals The Increase of Energy Consumption and Carbon Dioxide (CO2) Emission in Indonesia

2018 ◽  
Vol 31 ◽  
pp. 01008 ◽  
Author(s):  
Hadi Sasana ◽  
Annisa Eka Putri
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Dioxide Emissions ◽  
Linear Regression Analysis ◽  
Carbon Dioxide Emission ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Fossil Energy

In the last decade, the increase of energy consumption that has multiplied carbondioxide emissions becomes world problems, especially in the developing countries undergoing industrialization to be developed ones like Indonesia. This aim of this study was to analyze the effect of fossil energy consumption, population growth, and consumption of renewable energy on carbon dioxide emission. The method used was multiple linear regression analysis with Ordinary Least Square approach using time series in the period of 1990 - 2014. The result showed that fossil energy consumption and population growth have a positive influence on carbon dioxide emission in Indonesia. Meanwhile, the consumption variable of renewable energy has a negative effect on the level of carbon dioxide emissions produced.

scholarly journals Renewable energy and population growth for sustainable development in the Southeast Asian countries

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Duc Hong Vo ◽  
Anh The Vo
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Southeast Asian ◽  
Series Data ◽  
Energy Usage

AbstractThe energy–environment–growth nexus has been examined for the Association of Southeast Asian Nations (ASEAN) region, mainly using time series data. However, the important role of renewable energy and population has largely been ignored in previous studies. As such, this study is conducted to investigate a causal link between renewable energy usage, population, carbon dioxide emissions, and economic growth. In addition, a relatively new and advanced panel vector autoregressive model and the Granger non-causality test for heterogeneous panels are utilized with a sample of seven ASEAN countries for almost three decades since 1990. Key findings from this paper are as follows. First, renewable energy usage responds to population growth and leads to carbon dioxide (CO2) emissions. Second, economic growth and renewable energy usage explain a substantial proportion of the change in energy consumption. Third, a bidirectional Granger causality does exist in each pair among energy consumption, economic growth and CO2 emissions. We argue that moderating population growth and extending renewable energy usage are vital to achieving sustainable economic growth in the ASEAN region.

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).

Modeling of Carbon Dioxide Measurement on Cement Plants

2012 ◽  
Vol 610-613 ◽  
pp. 2120-2128 ◽  
Author(s):  
Jun Xia Peng ◽  
Liang Huang ◽  
Yu Bo Zhao ◽  
Pan Chen ◽  
Lu Zeng ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Carbon Dioxide Emissions ◽  
Co2 Emission ◽  
Firing Process ◽  
Input Output ◽  
Carbon Dioxide Measurement ◽  
Key Steps ◽  
Furnace Slag ◽  
Reducing Co2 Emission

Input-output model on cement plants were established. Carbon dioxide emissions of key steps and carbon footprint of products were calculated and predicted using the input-output model. The results showed that CO2 emission in the plant (the production of the plant is 1320000t a year) reached 910000 t a year and CO2 emission per ton product is 0.689 ton. Over 80% of the total CO2 was emitted during the process of firing，so the firing process is the key step for reducing CO2 emission in the cement plant. Carbon footprint of three kinds of cement products including ordinary portland cement, portland pozzolan cement and portland blast furnace slag cement are 0.76, 0.59, 0.72 respectively.

scholarly journals Energy Consumption of Rail Baltica Project: Regional Aspects of Environmental Impact

2019 ◽  
Vol 16 (1) ◽  
pp. 148-160
Author(s):  
Olga Piterina ◽  
Alexander Masharsky
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Environmental Impact ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
International Energy Agency ◽  
Future Research ◽  
Energy Agency ◽  
Load Rate ◽  
Emissions Intensity

Abstract Research purpose. The high-speed railway (HSR) construction project in the Baltic States is the largest joint infrastructure project since the restoration of independence of Latvia, Lithuania and Estonia. Rail Baltica (RB) is considered as the most energy-efficient project having the lowest environmental impact. However, the issue of energy consumption of the project was not sufficiently addressed either in the investment justification of the RB construction or in the relevant research works regarding the project. The aim of the current research is to determine the indicators of energy consumption and carbon dioxide (CO2) emissions intensity of the Latvian section of RB, since they are the key factors of the quantitative assessment of sustainability. Design/Methodology/Approach. Critical analysis of the academic research works and reports of the official international organizations dedicated to the topic of energy consumption and CO2 emissions of HSR was conducted prior to the calculation of the above-mentioned indicators. The method of calculation based on International Union of Railways (UIC) was used in order to conduct the cluster analysis within the framework of current work. The main points considered are electricity consumption, carbon dioxide emissions, and level of passenger and freight demand. Statistical databases of UIC and International Energy Agency were used. Findings. The calculations carried out by the authors of the given article demonstrate substantial figures of CO2 emissions intensity for Latvian section of the project related to the train load rate and traffic intensity which is evened out only by the CO2 emissions factor in Latvia. Originality/Value/Practical implications. On this basis the authors present the directions for future research required for the development of the effective strategy for the Latvian Republic with the aim of achieving the increase in the RB project’s ecological efficiency.

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