scholarly journals Examining the Relationship between Energy Consumption and Unfavorable CO2 Emissions on Sustainable Development by Going through Various Violated Factors and Stochastic Disturbance–Based on a Three-Stage SBM-DEA Model

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 569
Author(s):  
Wengchin Fong ◽  
Yao Sun ◽  
Yujie Chen
Keyword(s):  
Sustainable Development ◽  
Hong Kong ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Energy Resource ◽  
Measure Data ◽  
Dea Model ◽  
Stochastic Disturbance ◽  
The Relationship

The article applies a three-stage Slacks-Based Measure-Data Envelopment Analysis (SBM-DEA) pattern to examine the relationship between energy consumption and unfavorable CO2 emissions on green sustainable development, for the 11 cities of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) during 2010–2016, by going through various violated factors and stochastic disturbance. Labor, capital and energy resource are chosen as input variables, while GDP and CO2 emission as output variables. During the three phases consisting of the SBM-DEA model (first stage and third stage) and SFA analysis (second stage), CO2 emission is considered as an unfavorable outcome, while stochastic statistical disturbances and external environmental influences are identified. The results show that the average efficiency of the GBA cities is 0.708, with only Shenzhen, Macao SAR and Hong Kong SAR having an efficiency of 1 during the whole study period. Based on the findings, suggestions are made for the GBA cities’ sustainable development aspects.

scholarly journals Evaluating the Relationship between Freight Transport, Economic Prosperity, Urbanization, and CO2 Emissions: Evidence from Hong Kong, Singapore, and South Korea

2020 ◽  
Vol 12 (24) ◽  
pp. 10664
Author(s):  
Muhammad Shafique ◽  
Anam Azam ◽  
Muhammad Rafiq ◽  
Xiaowei Luo
Keyword(s):  
Hong Kong ◽  
Energy Consumption ◽  
South Korea ◽  
Co2 Emissions ◽  
Ordinary Least Squares ◽  
Policy Option ◽  
Freight Transport ◽  
Transport Sector ◽  
Economic Prosperity ◽  
The Relationship

This paper analyzes the relationship between freight transport, economic prosperity, carbon dioxide (CO2) emissions, energy consumption, and urbanization for three top Asian economies, namely, Hong Kong, Singapore, and South Korea during 1995–2017. For this purpose, we use the augmented Dickey-Fuller test for the stationary of the series, Johansen co-integration approach, and fully modified ordinary least squares and Granger causality model to infer the causal relationship between the study variables. The results show that economic prosperity (GDP) and energy consumption (EC) have a significant impact on freight transport (FT) for all three economies. In addition, the results also manifest the existence of bidirectional causality between GDP and FT in Singapore but a unidirectional causality running from GDP to FT in the case of Hong Kong and South Korea. As a quick policy option, controlling fossil fuel energy consumption in the transport sector may result in a remarkable reduction in CO2 emissions. The present study provides new insights to decision-makers for designing comprehensive energy and environmental policies for future sustainable freight transport growth in the long run.

scholarly journals Pulp and Paper Industry: Decarbonisation Technology Assessment to Reach CO2 Neutral Emissions—An Austrian Case Study

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1161
Author(s):  
Maedeh Rahnama Mobarakeh ◽  
Miguel Santos Silva ◽  
Thomas Kienberger
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Manufacturing Industry ◽  
Paper Industry ◽  
Heat Pumps ◽  
Pulp And Paper ◽  
Low Carbon ◽  
Co2 Emission Reduction

The pulp and paper (P&P) sector is a dynamic manufacturing industry and plays an essential role in the Austrian economy. However, the sector, which consumes about 20 TWh of final energy, is responsible for 7% of Austria’s industrial CO2 emissions. This study, intending to assess the potential for improving energy efficiency and reducing emissions in the Austrian context in the P&P sector, uses a bottom-up approach model. The model is applied to analyze the energy consumption (heat and electricity) and CO2 emissions in the main processes, related to the P&P production from virgin or recycled fibers. Afterward, technological options to reduce energy consumption and fossil CO2 emissions for P&P production are investigated, and various low-carbon technologies are applied to the model. For each of the selected technologies, the potential of emission reduction and energy savings up to 2050 is estimated. Finally, a series of low-carbon technology-based scenarios are developed and evaluated. These scenarios’ content is based on the improvement potential associated with the various processes of different paper grades. The results reveal that the investigated technologies applied in the production process (chemical pulping and paper drying) have a minor impact on CO2 emission reduction (maximum 10% due to applying an impulse dryer). In contrast, steam supply electrification, by replacing fossil fuel boilers with direct heat supply (such as commercial electric boilers or heat pumps), enables reducing emissions by up to 75%. This means that the goal of 100% CO2 emission reduction by 2050 cannot be reached with one method alone. Consequently, a combination of technologies, particularly with the electrification of the steam supply, along with the use of carbon-free electricity generated by renewable energy, appears to be essential.

scholarly journals The link between urbanization and air pollution in Turkey: Evidence from dynamic Autoregressive Distributed Lag simulations

2021 ◽  
Author(s):  
Alper Aslan ◽  
BUKET ALTINOZ ◽  
BAKİ OZSOLAK
Keyword(s):  
Air Pollution ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Sustainable Growth ◽  
Similar Relationship ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Positive Shock ◽  
The Relationship

Abstract This study investigates the relationship between urbanization and air pollution in Turkey. Dynamic ARDL method was used for the period 1960–2014. According to the findings, there is a positive and statistically significant relationship between long-term urbanization and Co2. If urbanization increased by 1%, carbon emissions increased by 0.02%. There is a similar relationship between the shocks that will occur in population growth and Co2 emission in the long term. However, there is a negative and statistically insignificant relationship between the two variables. In the relationship between GDP and Co2, there is a positive relationship in the long term. GDP increase of 1% increases Co2 emissions by 0.11%. There is a similar relationship between long-term GDP shocks and Co2 emissions. According to short-term analysis results, energy consumption increases Co2 emissions by the same rate as GDP. However, the astonishing result of the study emerges here. Empirical results show that a long-term positive shock in energy consumption reduces CO2 emissions and a negative shock increases pollution. According to these results, Turkey has not reached the point of sustainable growth. For this reason, this developing country needs to make regulatory implementations and determine future policies for these impacts affecting air pollution.

Research on Energy Efficiency and Environmental Pollution in China: a Simultaneous Equations Approach

2011 ◽  
Vol 361-363 ◽  
pp. 974-977 ◽  
Author(s):  
Ying Nan Dong ◽  
Yu Duo Lu ◽  
Jiao Jiao Yu
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Economic Loss ◽  
Simultaneous Equations ◽  
Consumption Structure ◽  
The Relationship

This paper examined the relationship between the energy efficiency and the environmental pollution. By using the data of energy intensity and economic loss caused by environmental pollution (ELP) in China from 1989-2009, a simultaneous equations was developed. The result of two-stage OLS estimation suggested that the energy had exerted positive influences on the decreasing of the environmental pollutions. By enhancing the energy efficiency and adjusting the industrial structure and energy consumption structure, China is exploring a road for sustainable development in the energy conservation.

On the Relationship between Economic Growth and Energy Consumption in Beijing

2014 ◽  
Vol 962-965 ◽  
pp. 2165-2169
Author(s):  
Feng Yun Wang ◽  
Bing Hua Chen ◽  
Jin Ru Fan
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Energy Industry ◽  
Counter Measures ◽  
Tertiary Industry ◽  
Secondary Industry ◽  
The Relationship

This paper studies the causal relationship between energy consumption and economic growth in Beijing by using econometric method from 1980 to 2012, and then establishes the model between the energy consumption of three industries and economic growth to study the influence of the secondary industry and tertiary industry energy consumption on economic growth in Beijing. Finally, we put forward counter measures and suggestions on sustainable development of Beijing's economy and energy industry.

scholarly journals Exploring Potential Pathways toward Energy-Related Carbon Emission Reduction in Heavy Industrial Regions of China: An Input–Output Approach

2020 ◽  
Vol 12 (5) ◽  
pp. 2148 ◽  
Author(s):  
Jingyao Peng ◽  
Yidi Sun ◽  
Junnian Song ◽  
Wei Yang
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Emission Intensity ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Carbon Emission ◽  
Input Output ◽  
Carbon Emission Reduction ◽  
Industrial Regions ◽  
Co2 Emission Intensity

It is a very urgent issue to reduce energy-related carbon emissions in China. The three northeastern provinces (Heilongjiang (HLJ), Jilin (JL), and Liaoning (LN)) are typical heavy industrial regions in China, playing an important role in the national carbon emission reduction target. In this study, we analyzed the energy consumption, carbon dioxide (CO2) emissions, and CO2 emission intensity of each sector in the three regions, and we compared them with the national level and those of China’s most developed province Guangdong (GD). Then, based on an input–output (I–O) framework, linkage analysis of production and CO2 emission from sector–system and sector–sector dimensions was conducted. The results showed that the three regions accounted for about 1/10 of China’s energy consumption and 1/6 of China’s CO2 emissions in 2012. In addition, the level of energy structure, CO2 emission intensity, and sectoral structure lagged behind China’s average level, much lower than those for GD. According to the sectoral characteristics of each region and unified backward/forward linkages of production and CO2 emissions, we divided sectoral clusters into those whose development was to be encouraged and those whose development was to be restricted. The results of this paper could provide policy–makers with reference to exploring potential pathways toward energy-related carbon emission reduction in heavy industrial regions.

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