scholarly journals The Impact of Economic Growth, FDI and Energy Intensity on China’s Manufacturing Industry’s CO2 Emissions: An Empirical Study Based on the Fixed-Effect Panel Quantile Regression Model

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4800 ◽  
Author(s):  
Chao-Qun Ma ◽  
Jiang-Long Liu ◽  
Yi-Shuai Ren ◽  
Yong Jiang
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Co2 Emission ◽  
Manufacturing Industry ◽  
Energy Intensity ◽  
Quantile Regression Model ◽  
Panel Quantile Regression ◽  
The Impact ◽  
Positive Effect

Since the reform and opening-up, China’s CO2 emissions have increased dramatically, and it has become the world’s largest CO2 emission and primary energy consumption country. The manufacturing industry is one of the biggest contributors to CO2 emission, and determining the drivers of CO2 emissions are essential for effective environmental policy. China is also a vast transition economy with great regional differences. Therefore, based on the data of China’s provincial panel from 2000 to 2013 and the improved STIRPAT model, this paper studies the impact of economic growth, foreign direct investment (FDI) and energy intensity on China’s manufacturing carbon emissions through the fixed-effect panel quantile regression model. The results show that the effects of economic growth, FDI and energy intensity on carbon emissions of the manufacturing industry are different in different levels and regions, and they have apparent heterogeneity. In particular, economic growth plays a decisive role in the CO2 emissions of the manufacturing industry. Economic growth has a positive impact on the carbon emissions of the manufacturing industry; specifically, a higher impact on high carbon emission provinces. Besides, FDI has a significant positive effect on the upper emission provinces of the manufacturing industry, which proves that there is a pollution paradise hypothesis in China’s manufacturing industry, but no halo effect hypothesis. The reduction of energy intensity does not have a positive effect on the reduction of carbon emissions. The higher impact of the energy intensity of upper emission provinces on carbon emissions from their manufacturing industry, shows that there is an energy rebound effect in China’s manufacturing industry. Finally, our study confirms that China’s manufacturing industry has considerable space for emission reduction. The results also provide policy recommendations for policymakers.

scholarly journals Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Bounds Testing ◽  
Mutual Cooperation ◽  
Long Run ◽  
Short Run ◽  
Danube Region ◽  
The Impact

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

scholarly journals Creation of Zero CO2 Emission Plants Due to Energy Use: A Case Study in Crete, Greece

2018 ◽  
Vol 5 (1) ◽  
pp. 55
Author(s):  
John Vourdoubas
Keyword(s):  
Co2 Emissions ◽  
Carbon Emissions ◽  
Co2 Emission ◽  
Energy Use ◽  
Energy Intensity ◽  
Electricity Consumption ◽  
Photovoltaic System ◽  
Tree Plantation ◽  
Electricity Use ◽  
Solar Photovoltaic System

Creation of zero CO2 emission enterprises due to energy use in Crete, Greece has been examined with reference to an orange juice producing plant (Viochym). Energy intensity at Viochym has been estimated at 1.66 KWh per € of annual sales. Oil used for heat generation has been replaced with solid biomass produced locally in Crete and resulting in zero CO2 emissions due to the use of heat. Offsetting CO2 emissions due to grid electricity use has been proposed with two options. The first includes the installation of a solar photovoltaic system with nominal power of 417 KWp, according to net metering regulations, generating annually 625 MWh equal to annual grid electricity consumption in the plant. Its capital cost has been estimated at 0.5 mil € which corresponds to 1.07 € per kg of CO2 saved annually.The second option includes the creation of a tree plantation in an area of 107 hectare resulting in carbon sequestration equal to carbon emissions in the plant due to electricity use. Both options for offsetting CO2 emissions in Viochym have various advantages and drawbacks and they are considered realistic and feasible, resulting in the elimination of its carbon emissions due to energy use. Improvement of the energy intensity of various processes in Viochym could result in lower CO2 emissions and smaller sizing of the required renewable energy systems for eliminating them.

scholarly journals National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central—Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2775
Author(s):  
Florian Marcel Nuţă ◽  
Alina Cristina Nuţă ◽  
Cristina Gabriela Zamfir ◽  
Stefan-Mihai Petrea ◽  
Dan Munteanu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Panel Data ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Urban Areas ◽  
Energy Intensity ◽  
Panel Data Analysis ◽  
Machine Learning Algorithms ◽  
The Impact

The work at hand assesses several driving factors of carbon emissions in terms of urbanization and energy-related parameters on a panel of emerging European economies, between 1990 and 2015. The use of machine learning algorithms and panel data analysis offered the possibility to determine the importance of the input variables by applying three algorithms (Random forest, XGBoost, and AdaBoost) and then by modeling the urbanization and the impact of energy intensity on the carbon emissions. The empirical results confirm the relationship between urbanization and energy intensity on CO2 emissions. The findings emphasize that separate components of energy consumption affect carbon emissions and, therefore, a transition toward renewable sources for energy needs is desirable. The models from the current study confirm previous studies’ observations made for other countries and regions. Urbanization, as a process, has an influence on the carbon emissions more than the actual urban regions do, confirming that all the activities carried out as urbanization efforts are more harmful than the resulted urban area. It is proper to say that the urban areas tend to embrace modern, more green technologies but the road to achieve environmentally friendly urban areas is accompanied by less environmentally friendly industries (such as the cement industry) and a high consumption of nonrenewable energy.

scholarly journals Impact of Foreign Direct Investment on Environmental Performance

2019 ◽  
Vol 11 (13) ◽  
pp. 3538 ◽  
Author(s):  
Zhenghui Li ◽  
Hao Dong ◽  
Zimei Huang ◽  
Pierre Failler
Keyword(s):  
Foreign Direct Investment ◽  
Environmental Performance ◽  
Direct Investment ◽  
Developed Countries ◽  
Quantile Regression Model ◽  
Panel Quantile Regression ◽  
High Quantile ◽  
The Developed Countries ◽  
The Impact ◽  
Positive Effect

The paper presents the results of a study that attempts to investigate the impact of foreign direct investment (FDI) on environmental performance (EP) by constructing a panel quantile regression model. Based on panel data from 1990 to 2014, this study contributes to evaluate the EP of each of the 40 countries using a directional slack-based model considering undesirable output. Our findings reveal several key conclusions: first, FDI has an insignificant influence on EP for the full sample. Second, the impact of FDI on EP between developed and developing countries exists heterogeneity. Furthermore, there is heterogeneity regarding the effect of FDI on EP at different quantiles of EP in developed countries. Specifically, in the developed countries, the effect is statistically insignificant at the lower quantile of EP, then it turns significantly positive at the middle and high quantile, and the positive effect rises with the increase of quantiles of EP. Finally, based on the conclusions of quantitative analysis, some important policy recommendations are proposed: different governments ought to enact different strategies for the introduction of FDI, according to different development situations of different countries.

Research on the effects of market integration on carbon emissions

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhao Liu ◽  
Huan Zhang ◽  
Yue-Jun Zhang ◽  
Fang-E Duan ◽  
Lan-Ye Wei
Keyword(s):  
Economic Growth ◽  
Path Analysis ◽  
Carbon Emissions ◽  
Market Integration ◽  
Positive Impact ◽  
Utilization Efficiency ◽  
Content Type ◽  
Policy Interaction ◽  
The Impact ◽  
Positive Effect

Purpose The purpose of this paper is to analyze the linear and nonlinear effects of market integration on carbon emissions and explore the direct and indirect paths of market integration on carbon emissions through path analysis. Design/methodology/approach The authors first conduct a measurement and contrastive study of the market integration and carbon emissions of China’s 28 provinces from year 1995 to 2015. Then, the linear effect of market integration on carbon emissions is analyzed by using the fixed-effect model. Next, based on the path analysis method, the direct and indirect paths of market integration’s impact on carbon emissions are explored. Finally, the panel threshold regression model is used to evaluate the effect of market integration on carbon emissions under different situations of geographic distance. Findings The results show that first, the improvement of market integration can increase carbon emissions in the form of a linear relationship. Second, market integration not only has a direct and positive impact on the carbon emissions, but also has an indirect and positive impact on carbon emissions through the level of economic development, and a negative impact on carbon emissions through technological level. Third, an increase in market integration can reduce its positive effect on carbon emissions, but the improvement of economic growth and technology level can both enhance the positive effect of market integration on carbon emissions. Research limitations/implications This paper focuses on the impact of market integration on carbon emissions in 30 provinces in China, while, the authors do not conduct a comparative analysis of different regions, so there are certain limitations. In addition, policy interaction between regional governments is also a key factor affecting carbon emissions, but this paper does not consider the effect of policy interaction, future follow-up research will try to incorporate it into the analytical models. Practical implications An important practical implication of this research is that market integration should be regarded highly in China’s energy conservation and emission reduction efforts. The research results have important reference value for policy authorities to formulate relevant policies. That is, the government can play a more active role in the process of integration through breaking the regional blockade and interest barriers to comprehensively improve resource utilization efficiency and technical level, and ultimately achieve regional low-carbon development. Originality/value This paper explores the effects of market integration on China’s carbon emissions based on different methods and perspectives, and confirms that market integration plays a vital role in China’s carbon emissions through economic growth and technological progress. Notably, based on the studied results, some specific and practical suggestions are proposed in this paper so as to reduce carbon emission and realize the sustainable development of economy and society in China.

Calculation and Decomposition of China’s Carbon Emissions from Transportation Energy Consumption: Based on LMDI Method

2014 ◽  
Vol 926-930 ◽  
pp. 4411-4414
Author(s):  
Mei Ling He ◽  
Xiao Hui Wu
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Intensity ◽  
Influence Factor ◽  
Energy Structure ◽  
Logarithmic Mean ◽  
Transportation Energy ◽  
Negative Effect ◽  
Positive Effect

According to the calculation method of the IPCC, the paper calculates the composition and intensity of carbon emissions from transportation energy consumption in China from 2000 to 2011. Based on logarithmic mean divisia index (LMDI) decomposition technique, changes of carbon emissions quantity are analyzed by three factors which are the transportation energy intensity, the economic growth and the transportation energy structure. The results show: (1) Transportation energy intensity was significantly decreased. Under its influence carbon emission intensity from the transportation energy was decreased, indicating that the energy efficiency was improved continuously. (2) Transport carbon emissions were in a growing trend. The greatest influence factor was the economic growth which had a positive effect and enlarged transportation carbon emissions quantity. On the other hand, the factors of the transportation energy intensity had a negative effect. Except 2011, the transportation energy structure always had a negative effect, which reduced transportation carbon emissions quantity.

scholarly journals Beyond the City: Effects of Urbanization on Rural Residential Energy Intensity and CO2 Emissions

2019 ◽  
Vol 11 (8) ◽  
pp. 2421 ◽  
Author(s):  
Qiu Chen ◽  
Haoran Yang ◽  
Wenguo Wang ◽  
Tianbiao Liu
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Energy Intensity ◽  
Biomass Energy ◽  
Mitigation Strategies ◽  
Net Income ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
The Impact

Trends of rural residential energy consumption and CO2 emission should be evaluated in a broader context of urbanization, especially in developing countries where urbanization is in its expanding stage. In this study, we use the STIRPAT model and various panel regression techniques to explore the impact of urbanization on rural residential energy consumption and CO2 emission by using data from Southwest China. The results show that a higher urbanization level contributes to higher total residential energy intensity. Increases in net income per capita can decrease the intensities of traditional biomass energy and non-biomass energy, while industrialization has a negative effect only on non-biomass energy intensity. Land use change driven by urbanization can also lower the intensities of total residential energy, traditional biomass energy and non-biomass energy. Moreover, the impact of total residential energy intensity on emissions is positive. Particularly, traditional biomass energy accounts for most of CO2 emissions derived from the use of residential energy. As urbanization is expected to increase in the developing world and lead to more CO2 emissions from rural areas, policies which intend to reduce the intensity of traditional biomass energy, promote biogas and industrialization, and raise net income of rural residents can be used as effective mitigation strategies.

scholarly journals Sustainable Tourism, Economic Growth and Employment—The Case of the Wine Routes of Spain

2021 ◽  
Vol 13 (13) ◽  
pp. 7164
Author(s):  
Guillermo Vázquez Vicente ◽  
Victor Martín Barroso ◽  
Francisco José Blanco Jiménez
Keyword(s):  
Economic Growth ◽  
Economic Impact ◽  
Rural Areas ◽  
Local Development ◽  
Tourism Industry ◽  
Wine Tourism ◽  
Development Tool ◽  
The Us ◽  
The Impact ◽  
Positive Effect

Tourism has become a priority in national and regional development policies and is considered a source of economic growth, particularly in rural areas. Nowadays, wine tourism is an important form of tourism and has become a local development tool for rural areas. Regional tourism development studies based on wine tourism have a long history in several countries such as the US and Australia, but are more recent in Europe. Although Spain is a leading country in the tourism industry, with an enormous wine-growing tradition, the literature examining the economic impact of wine tourism in Spanish economy is scarce. In an attempt to fill this gap, the main objective of this paper is to analyze the impact of wine tourism on economic growth and employment in Spain. More specifically, by applying panel data techniques, we study the economic impact of tourism in nine Spanish wine routes in the period from 2008 to 2018. Our results suggest that tourism in these wine routes had a positive effect on economic growth. However, we do not find clear evidence of a positive effect on employment generation.

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