scholarly journals Trends and Driving Forces of Carbon Emissions from Energy Consumption: A Case Study of Nanjing, China

2018 ◽  
Vol 10 (12) ◽  
pp. 4348 ◽  
Author(s):  
Kong-Qing Li ◽  
Ran Lu ◽  
Rui-Wen Chu ◽  
Dou-Dou Ma ◽  
Li-Qun Zhu
Keyword(s):  
Growth Rate ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Driving Forces ◽  
Positive Impact ◽  
High Growth ◽  
Future Trend ◽  
Gdp Per Capita ◽  
Stirpat Model ◽  
Per Capita

Based on the scientific calculation of carbon emissions from energy consumption in Nanjing, this paper analyzed the driving forces of carbon emissions from 2000 to 2016 by using the stochastic impacts by regression on population, affluence and technology (STIRPAT) model. The results show that from 2000 to 2016, the energy carbon emissions of Nanjing were on the rise; the urbanization rate, population, GDP per capita, and energy intensity had a significant positive impact on the growth of carbon emissions in Nanjing, China. Based on this, we presented five development scenarios to analyze the future trend of carbon emissions of the city. By contrast, the growth rate of carbon emissions from energy consumption is the slowest when the population maintains a low growth rate and the GDP per capita and technical level maintain high growth. This indicates a better urban development strategy in which industrial restructuring must be associated with talent structure adjustment to decarbonize the urban economy, and the extensive urban sprawl development approach might need to be changed.

scholarly journals Dynamic linkages between renewable energy, carbon emissions and economic growth through nonlinear ARDL approach: Evidence from Iran

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253464
Author(s):  
M. S. Karimi ◽  
S. Ahmad ◽  
H. Karamelikli ◽  
D. T. Dinç ◽  
Y. A. Khan ◽  
...  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Gdp Per Capita ◽  
Bounds Testing ◽  
Renewable Energy Consumption ◽  
Economic Implications ◽  
Long Run ◽  
Per Capita

This study examines the relationship between economic growth, renewable energy consumption, and carbon emissions in Iran between 1975–2017, and the bounds testing approach to cointegration and the asymmetric method was used in this study. The results reveal that in the long run increase in renewable energy consumption and CO2 emissions causes an increase in real GDP per capita. Meanwhile, the decrease in renewable energy has the same effect, but GDP per capita reacts more strongly to the rise in renewable energy than the decline. Besides, in the long run, a reduction of CO2 emissions has an insignificant impact on GDP per capita. Furthermore, the results from asymmetric tests suggest that reducing CO2 emissions and renewable energy consumption do not have an essential role in decreasing growth in the short run. In contrast, an increase in renewable energy consumption and CO2 emissions do contribute to boosting the growth. These results may be attributable to the less renewable energy in the energy portfolio of Iran. Additionally, the coefficients on capital and labor are statistically significant, and we discuss the economic implications of the results and propose specific policy recommendations.

Energy Consumption - Economic Growth Relationship and Carbon Emissions in Twelve Provinces of West of China

2012 ◽  
Vol 178-181 ◽  
pp. 885-892 ◽  
Author(s):  
Yong Ping Bai ◽  
Jing Yang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Income Elasticity ◽  
Gdp Per Capita ◽  
Great Effort ◽  
Real Gdp ◽  
Real Gdp Per Capita ◽  
Per Capita ◽  
Level Group

This paper applies the panel unit root, heterogeneous panel cointegration and panel-based dynamic OLS to re-investigate the co-movement and relationship between energy consumption and economic growth for 12 provinces(autonomous regions, municipalities) in West of China from 1989 to 2009. The empirical results show that there is a positive long-run cointegrated relationship between real GDP per capita and energy consumption variables. Furthermore, we investigate three cross-regional groups, namely the stronger-level, medium-level and weaker-level groups, and get more important results and implications. In the long-term, a 1% increase in real GDP per capita increases the consumption of energy by different rates for three groups respectively, and subsequently it increases at different rates in three groups of the carbon emissions in West of China. The economic growth in stronger-level group is energy-dependent to a great extent, and the income elasticity of energy consumption in stronger-level group is over several times than that of the weaker-level groups. At present, West of China are subject to tremendous pressures formitigating climate change issues. It is possible that the GDP per capita elasticity of carbon emissions would be controlled in a range that orients sustainable development by the great effort.

scholarly journals Foreign Investment, Government Expenditure, and Economic Growth in Malaysia

2010 ◽  
Author(s):  
Fatimah Said ◽  
Zarinah Yusof ◽  
Saad Mohd Said ◽  
Ahmad Farid OSMAN
Keyword(s):  
Economic Growth ◽  
Foreign Investment ◽  
Driving Forces ◽  
Negative Impact ◽  
Positive Impact ◽  
Government Expenditure ◽  
Real Income ◽  
Ordinary Least Squares ◽  
Gdp Per Capita ◽  
Per Capita

This study uses the ordinary least squares technique to examine the effect of foreign investment and government expenditure on the growth in GDP per capita in Malaysia over the period 1978-2005. The regression results showed that the growth of export and ratio of government expenditure to GDP are the driving forces in enhancing the economic growth in Malaysia. Foreign investment and previous year real income per capita growth depict positive impact, whereas population growth exerts a negative impact on economic growth.  

scholarly journals Characterizing the Influences of Economic Development, Energy Consumption, Urbanization, Industrialization, and Vehicles Amount on PM2.5 Concentrations of China

2018 ◽  
Vol 10 (7) ◽  
pp. 2574 ◽  
Author(s):  
Haoran Zhao ◽  
Sen Guo ◽  
Huiru Zhao
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Industrial Development ◽  
Driving Forces ◽  
Gdp Per Capita ◽  
Kuznets Curve ◽  
Urbanization Process ◽  
Distributed Lag ◽  
Real Gdp Per Capita ◽  
Per Capita

The speeding-up of economic development and industrialization processes in China have brought about serious atmospheric pollution issues, especially in terms of particulate matter harmful to health. However, impact mechanisms of socio-economic forces on PM2.5 (the particle matter with diameter less than 2.5 μm) have rarely been further investigated. This paper selected GDP (gross domestic product) per capita, energy consumption, urbanization process, industrialization structure, and the amount of possession of civil vehicles as the significant factors, and researched the relationship between these factors and PM2.5 concentrations from 1998 to 2016, employing auto-regressive distributed lag (ARDL) methodology and environmental Kuznets curve (EKC) theory. Empirical results illustrated that a long-term equilibrium nexus exists among these variables. Granger causality results indicate that bi-directional causality exist between PM2.5 concentrations and GDP per capita, the squared component of GDP per capita, energy consumption and urbanization process. An inverse U-shape nexus exists between PM2.5 concentrations and GDP per capita. When the real GDP per capita reaches 5942.44 dollars, PM2.5 concentrations achieve the peak. Results indicate that Chinese governments should explore a novel pathway to resolve the close relationship between socio-economic factors and PM2.5, such as accelerating the adjustment of economic development mode, converting the critical industrial development driving forces, and adjusting the economic structure.

scholarly journals Study on Influencing Factors of Carbon Emissions from Energy Consumption of Shandong Province of China from 1995 to 2012

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jiekun Song ◽  
Qing Song ◽  
Dong Zhang ◽  
Youyou Lu ◽  
Long Luan
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Shandong Province ◽  
Stirpat Model ◽  
Per Capita Gdp ◽  
Consumption Structure ◽  
Per Capita ◽  
The Impact ◽  
Consumption Intensity

Carbon emissions from energy consumption of Shandong province from 1995 to 2012 are calculated. Three zero-residual decomposition models (LMDI, MRCI and Shapley value models) are introduced for decomposing carbon emissions. Based on the results, Kendall coordination coefficient method is employed for testing their compatibility, and an optimal weighted combination decomposition model is constructed for improving the objectivity of decomposition. STIRPAT model is applied to evaluate the impact of each factor on carbon emissions. The results show that, using 1995 as the base year, the cumulative effects of population, per capita GDP, energy consumption intensity, and energy consumption structure of Shandong province in 2012 are positive, while the cumulative effect of industrial structure is negative. Per capita GDP is the largest driver of the increasing carbon emissions and has a great impact on carbon emissions; energy consumption intensity is a weak driver and has certain impact on carbon emissions; population plays a weak driving role, but it has the most significant impact on carbon emissions; energy consumption structure is a weak driver of the increasing carbon emissions and has a weak impact on carbon emissions; industrial structure has played a weak inhibitory role, and its impact on carbon emissions is great.

scholarly journals Examining the Driving Factors of the Direct Carbon Emissions of Households in the Ebinur Lake Basin Using the Extended STIRPAT Model

2021 ◽  
Vol 13 (3) ◽  
pp. 1339
Author(s):  
Ziyuan Chai ◽  
Zibibula Simayi ◽  
Zhihan Yang ◽  
Shengtian Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Driving Factors ◽  
Series Data ◽  
Lake Basin ◽  
Stirpat Model ◽  
Consumption Structure ◽  
Ebinur Lake ◽  
Ebinur Lake Basin

In order to achieve the carbon emission reduction targets in Xinjiang, it has become a necessary condition to study the carbon emission of households in small and medium-sized cities in Xinjiang. This paper studies the direct carbon emissions of households (DCEH) in the Ebinur Lake Basin, and based on the extended STIRPAT model, using the 1987–2017 annual time series data of the Ebinur Lake Basin in Xinjiang to analyze the driving factors. The results indicate that DCEH in the Ebinur Lake Basin during the 31 years from 1987 to 2017 has generally increased and the energy structure of DCEH has undergone tremendous changes. The proportion of coal continues to decline, while the proportion of natural gas, gasoline and diesel is growing rapidly. The main positive driving factors affecting its carbon emissions are urbanization, vehicle ownership and GDP per capita, while the secondary driving factor is residents’ year-end savings. Population, carbon intensity and energy consumption structure have negative effects on carbon emissions, of which energy consumption structure is the main factor. In addition, there is an environmental Kuznets curve between DCEH and economic development, but it has not yet reached the inflection point.

scholarly journals The Urbanisation Impacts on the Policy Effects of the Carbon Tax in China

2021 ◽  
Vol 13 (12) ◽  
pp. 6749
Author(s):  
Shuyang Chen
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Computable General Equilibrium ◽  
Carbon Tax ◽  
Negative Impact ◽  
Positive Impact ◽  
Evaluation Framework ◽  
Socioeconomic Impacts ◽  
Policy Effects ◽  
Distributed Lag

In the literature, very few studies have focused on how urbanisation will influence the policy effects of a climate policy even though urbanisation does have profound socioeconomic impacts. This paper has explored the interrelations among the urbanisation, carbon emissions, GDP, and energy consumption in China using the autoregressive distributed lag (ARDL) model. Then, the unit urbanisation impacts are inputted into the policy evaluation framework of the Computable General Equilibrium (CGE) model in 2015–2030. The results show that the urbanisation had a positive impact on the GDP but a negative impact on the carbon emissions in 1980–2014. These impacts were statistically significant, but its impact on the energy consumption was not statistically significant. In 2015–2030, the urbanisation will have negative impacts on the carbon emissions and intensity. It will decrease the GDP and the household welfare under the carbon tax. The urbanisation will increase the average social cost of carbon (ASCC). Hence, the urbanisation will reinforce the policy effects of the carbon tax on the emissions and welfare.

scholarly journals Assessment of the Dependence of GHG Emissions on the Support and Taxes in the EU Countries

2021 ◽  
Vol 13 (14) ◽  
pp. 7650
Author(s):  
Astrida Miceikienė ◽  
Kristina Gesevičienė ◽  
Daiva Rimkuvienė
Keyword(s):  
Energy Consumption ◽  
Empirical Study ◽  
Ghg Emissions ◽  
Gdp Per Capita ◽  
Environmental Taxes ◽  
Environmental Support ◽  
Eu Countries ◽  
Support Measures ◽  
Per Capita ◽  
The Eu

The reduction of GHG emissions is one of the priorities of the EU countries. The majority of studies show that financial support and environmental taxes are one of the most effective measures for the mitigation of the negative consequences of climate change. The EU countries employ different environmental support measures and environmental taxes to reduce GHG emissions. There is a shortage of new studies on these measures. The aim of the present study is to compare the effectiveness of the environmental support measures of the EU countries with the effectiveness of environmental taxes in relation to the reduction of GHG emissions. This study is characterized by the broad scope of its data analysis and its systematic approach to the EU’s environmental policy measures. An empirical study was performed for the EU countries with the aim of addressing this research problem and substantiating theoretical insights. A total of 27 EU member states from 2009 to 2018 were selected as research samples. The research is based on a cause-and-effect relationship, where the factors affecting environmental pollution (environmental taxes and subsidies) are the cause, and GHG emissions are the effect. Statistical research methods were used in the empirical study: descriptive statistics, the Shapiro–Wilk test, one-way analysis of variance (ANOVA), simple regression and cluster analysis. The results show that the older member countries of the EU, which had directed the financial measures of environmental policy towards a reduction in energy consumption, managed to achieve a greater reduction in GHG emissions compared to the countries which had not applied those measures. The Central and Eastern European countries are characterized by lower environmental taxes and lower expenditure allocated to environmental protection. The countries with a higher GDP per capita have greater GHG emissions that the countries with lower GDP per capita. This is associated with greater consumption, waste, and energy consumption. The study conducted gives rise to a discussion regarding data sufficiency in the assessment and forecasting of GHG emissions and their environmental consequences.

The relationship between energy consumption and economic growth: New evidence from Greece

2021 ◽  
pp. 131-153
Author(s):  
Antonia Gkergki
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Gdp Per Capita ◽  
Short Term ◽  
Vector Error Correction ◽  
Per Capita ◽  
Econometric Tests ◽  
The Government ◽  
New Research ◽  
The Relationship

This paper examines the relationship between the energy consumption and economic growth from 1968 to 2019 in Greece, by employing the vector error-correction model estimation. A series of econometric tests are employed concerning the stationary of the data, and the co-integration and the relationship among the variables during the long- and short-term. The em-pirical results suggest that there is no bidirectional relationship between economic growth and energy consumption. More specifically, GDP per capita does not affect the energy consump-tion of the three primary sources either in the long-term or the short-term. In other words, the economic crisis and its implications for GDP do not affect energy consumption, and they are not responsible for the considerable decrease in energy sources' consumption. On the other hand, the energy consumption of oil and coal negatively affect the GDP per capita. These re-sults are different from previous studies' conclusions for Greece; this is because the never been experienced before. These findings raise new research questions and also show the limi-tations of the Greek market, as it is regulated and controlled by the government.

scholarly journals An Analysis of the Entrepreneurial Ecosystem of Malawi: The Global Entrepreneurship Index (GEI) Approach

2021 ◽  
Vol 8 (1) ◽  
pp. 224-238
Author(s):  
Frederick Pobee ◽  
Thuso Mphela
Keyword(s):  
New Technologies ◽  
High Growth ◽  
Gdp Per Capita ◽  
Risk Capital ◽  
Entrepreneurial Ecosystem ◽  
Start Up ◽  
Depth Analysis ◽  
Per Capita ◽  
Global Entrepreneurship ◽  
The Relationship

The research paper provides an in-depth analysis of the entrepreneurial ecosystem of Malawi. Employing the Global Entrepreneurship Index (GEI) methodology, the findings reveal a weak entrepreneurial ecosystem with a GEI score of 12.2 out of a possible 100. The relationship between the GDP per capita and the three entrepreneurship sub-indices, thus, attitude, ability, and aspiration are very weak and fall well below global average trends. Unfortunately, despite the high total entrepreneurship activities (TEA) in Malawi, this leads to little contribution to the country's GDP per-capita – a common phenomenon in many developing countries. At the pillar level, Malawi’s performance is a mixed bag, however, with most pillars performing not only poorly but below world averages. Despite the general positive perception of entrepreneurship by citizens, the country’s weak entrepreneurial ecosystem has failed to harness the propensity to develop new products and adopt new technologies for innovation and high growth entrepreneurship. From a policy intervention perspective, Malawi needs to focus most of its efforts and investments in five areas that include start-up skills, risk acceptance, high growth, risk capital, and human capital to improve the country's GEI score by 0.02.

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