Decoupling Relationship between GDP and CO2 Emission Growth Rates in East Asia based on TAPIO Decoupling model

2020 ◽  
Vol 29 (11) ◽  
Author(s):  
Ming Yung-Chen
Keyword(s):  
East Asia ◽  
Growth Rates ◽  
Co2 Emission ◽  
Emission Growth

scholarly journals Spatial Heterogeneity of Energy-Related CO2 Emission Growth Rates around the World and Their Determinants during 1990–2014

Energies ◽  
2017 ◽  
Vol 10 (3) ◽  
pp. 367 ◽  
Author(s):  
Yebing Fang ◽  
Limao Wang ◽  
Zhoupeng Ren ◽  
Yan Yang ◽  
Chufu Mou ◽  
...  
Keyword(s):  
Spatial Heterogeneity ◽  
Growth Rates ◽  
Co2 Emission ◽  
The World ◽  
Emission Growth

scholarly journals Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China

2020 ◽  
Vol 17 (22) ◽  
pp. 8459
Author(s):  
Xiaohong Jiang ◽  
Jianxiao Ma ◽  
Huizhe Zhu ◽  
Xiucheng Guo ◽  
Zhaoguo Huang
Keyword(s):  
Carbon Emissions ◽  
Growth Rates ◽  
Carbon Emission ◽  
High Efficiency ◽  
Malmquist Index ◽  
Logistics Industry ◽  
Sbm Model ◽  
Low Efficiency ◽  
Emission Growth ◽  
Second Category

Carbon emissions from the logistics industry have been rising year after year. Correct handling of the relationship between economic development and environmental protection is of great significance to the implementation of green logistics, which is an important component of China’s strategy for strong transportation. This paper focuses on the evaluation of the carbon emissions efficiency of logistics industry from a new strong transportation strategy perspective. A super-efficiency slack-based measurement (Super-SBM) model and Malmquist index are combined to evaluate the static and dynamic carbon emissions efficiency of the logistics industry. The results indicate that compared with the SBM model, the Super-SBM model can more effectively measure the carbon emissions efficiency of the logistics industry. Pilot regions for the strong transportation strategy were divided into two categories, namely regions with slow carbon emission growth rates but high efficiency, and regions with high carbon emission growth rates but low efficiency. Some policy recommendations from the strong transportation strategy perspective were proposed to improve the carbon emissions efficiency of the logistics industry, especially for the second category of pilot regions. This study is expected to provide a basis for decision-making for efficient emissions reduction measures and policies, and to encourage the pilot regions to take the lead in achieving the goal of China’s strategy for transportation.

scholarly journals Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China

2020 ◽  
Vol 12 (5) ◽  
pp. 1875 ◽  
Author(s):  
Hongli Zhang ◽  
Lei Shen ◽  
Shuai Zhong ◽  
Ayman Elshkaki
Keyword(s):  
Economic Growth ◽  
Inner Mongolia ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Economic Structure ◽  
Coal Industry ◽  
Low Carbon ◽  
Emission Growth ◽  
Economic Structure Transformation ◽  
Inner Mongolia Autonomous Region

Energy-rich cities tend to rely on resource-based industries for economic growth, which leads to a great challenge for its low-carbon and sustainable economic development. The contiguous area of Shanxi and Shaanxi Provinces, and the Inner Mongolia Autonomous Region (SSIM) is one of the most important national energy bases in China. Its development pattern, dominated by the coal industry, has led to increasingly prominent structural problems along with difficult low-carbon transition. Taking energy-rich cities in the contiguous area of SSIM as examples, this study analyzes the main drivers of CO2 emissions and explores the role of economic structure transformation in carbon emission reduction during 2002–2012 based on structural decomposition analysis (SDA). The results show that CO2 emissions increase significantly with the coal industry expansion in energy-rich cities. Economic growth and structure are the main drivers of CO2 emission increments. An energy structure dominated by coal and improper product allocation structure can also cause CO2 emission increases. Energy consumption intensity is the main factor curbing CO2 emission growth in energy-rich cities. The decline of agriculture and services contributes to carbon emission reduction, while the expansion of mining and primary energy processing industries has far greater effects on CO2 emission growth. Finally, we propose that energy-rich cities must make more efforts to transform energy-driven economic growth patterns, cultivate new pillar industries by developing high-end manufacturing, improve energy efficiency through more investment in key technologies and the market-oriented reform of energy pricing and develop natural gas and renewable energy to accelerate low-carbon transition.

ECONOMIC THEORY AND THE EAST ASIAN REGION

2005 ◽  
Vol 50 (spec01) ◽  
pp. 495-512 ◽  
Author(s):  
LIM CHONG YAH
Keyword(s):  
Economic Theory ◽  
East Asia ◽  
Growth Rates ◽  
East Asian ◽  
General Validity ◽  
East Asian Region ◽  
Asian Region ◽  
Curve Theory ◽  
S Curve

This paper attempts to explain why growth rates and why growth levels differ so much among the 17 economies in East Asia. The EGOIN theory, the Triple C Theory and the S Curve Theory are used in the explanation. The three hypotheses in the three cognate theories are also tested for their general validity against the growth experiences of the 17 economies. Four statistical tables and six specially prepared graphs are used to support the author's presentation.

scholarly journals Comparison of distortion-product otoacoustic emission growth rates and slopes of forward-masked psychometric functions

2011 ◽  
Vol 129 (2) ◽  
pp. 864-875 ◽  
Author(s):  
Joyce Rodríguez ◽  
Stephen T. Neely ◽  
Walt Jesteadt ◽  
Hongyang Tan ◽  
Michael P. Gorga
Keyword(s):  
Growth Rates ◽  
Otoacoustic Emission ◽  
Distortion Product Otoacoustic Emission ◽  
Distortion Product ◽  
Emission Growth

scholarly journals Emissions of CO2 in the European Union: Empirical analysis of demographic, economic and technological factors

Stanovnistvo ◽  
2018 ◽  
Vol 56 (1) ◽  
pp. 63-82
Author(s):  
Predrag Petrovic ◽  
Goran Nikolic ◽  
Ivana Ostojic
Keyword(s):  
Growth Rate ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Population Growth Rate ◽  
Fossil Fuels ◽  
Gdp Per Capita ◽  
Energy Sources ◽  
The European Union ◽  
Per Capita ◽  
Emission Growth

Greenhouse gases emissions (GHG) and global climate change phenomena have been top priorities on the agenda of highest-level policy makers for a long period of time now. Scientists are well-familiarised with the fact that use of fossil fuels, such as oil derivatives and coal, is the main generator of harmful gases. In addition, possible substitutions for fossil fuels in the form of other energy sources are very limited, and it should be remembered that other energy sources also have certain adverse environmental effects. Bearing in mind climate change caused by products of fossil fuels combustion, as well as inevitable depletion of natural crude oil resources, management of growing global energy demand becomes one of the key goals and challenges of 21st century. This study is dedicated to lightening up of most significant demographic, economic and technological indicators of carbon dioxide (CO2) emissions in 28 EU member states in the period between 1991 and 2014. The research results, based on logarithmic STIRPAT model and application of econometric techniques on unbalanced panel data sample of 587 (247) observations, indicate that impact of GDP per capita is statistically significant and positive. An increase in GDP per capita growth rate of 1% leads to increased CO2 emissions growth rate ranging between 1.10% and 1.15%. The results unequivocally suggest positive impact of energy intensity to CO2 emissions. Increased growth rate in relative energy consumption of 1% results in increased CO2 emission growth rate ranging between 1.07% and 1.09%. This analysis reinforces the conclusions of numerous empirical studies that impact of population on CO2 emissions is significant and positive. An increase in demographic growth rate of 1% implies increased CO2 emission growth rate ranging between 0.74% and 1.02%. In other words, low fertility rate in the European Union might have positive effect on CO2 emissions reduction. In addition, possibility that elasticity of CO2 emission growth rate in relation to population growth rate is changed depending on the size of population growth rate is rejected on the basis of obtained findings. Impact of gross value added of manufacturing and demographic variables representing the population age structure (share of children and adolescents younger than 14 and share of working age population in total population) is not estimated as statistically significant. Finally, the result that average household size does not determine the CO2 emission should be construed very carefully, since it was obtained on quite small sample, thus questioning representativeness and validity thereof. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. III47010 i Grant no. 179014]

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