Modelling the Macroeconomic Determinants of Carbon Dioxide Emissions in the G-7 Countries: The Roles of Technological Innovation and Institutional Quality Improvement

2021 ◽  
pp. 097215092110393
Author(s):  
Ahsan Anwar ◽  
Amatul R. Chaudhary ◽  
Summaira Malik ◽  
Mohga Bassim
Keyword(s):  
Carbon Dioxide ◽  
Technological Innovation ◽  
Environmental Quality ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Institutional Quality ◽  
Renewable Energy Consumption ◽  
Cross Sectional ◽  
Environmentally Sustainable ◽  
Group Of Seven

The group of seven (G-7) countries are seven of the most advanced global nations. Yet, these nations have not been able to achieve environmentally sustainable economic growth (EG) in the past. Consequently, despite growing economically, the environmental quality in the G-7 countries has persistently deteriorated. Hence, the present study examined the environmental impacts associated with EG, technological innovation, institutional quality (IQ), renewable energy consumption (RENE) and population using the carbon dioxide emission figures to measure environmental quality in the G-7 economies for the period 1996–2018. The econometric analyses involved the application of different estimation techniques that control the cross-sectional dependency and slope heterogeneity issues in the data. Overall, the results indicated that greater EG and higher population size increase environmental pollution by boosting the carbon dioxide emission levels. In contrast, technological innovation, IQ improvement, and greater RENE were found to impede the carbon dioxide emission levels. In line with these key findings, several environmental development-related policies are recommended.

scholarly journals Innovation of Talent Training Mode for Undergraduates Majored in Energy Under the “Carbon Neutralization” Target

2021 ◽  
Author(s):  
Yining Wang ◽  
Wei Rong
Keyword(s):  
Carbon Dioxide ◽  
Technological Innovation ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Low Carbon ◽  
Training Mode ◽  
Un General Assembly ◽  
Low Carbon Development ◽  
Emission Growth ◽  
Carbon Peak

In September 22, 2020, Xi Jinping said at the seventy-fifth general debate of the UN General Assembly that China will enhance the national independent contribution, and strive to achieve the peak of carbon dioxide emissions by 2030, and strive to achieve carbon neutralization by 2060. Under the goal of carbon peak and carbon neutralization, the implementation of carbon emission reduction is an important strategy for China to achieve green and low-carbon development, but also faces major challenges “The Fourteenth Five Year Plan” Period is an important window period for scientific and technological innovation to realize the transformation of carbon dioxide emission growth rate. Only with the support of scientific and technological innovation can China be expected to achieve the goal of carbon peak and carbon neutralization on schedule. This paper attempts to study how to innovate the energy undergraduate talent training mode under the goal of “carbon neutral” from the aspects of the current situation of talent training, the analysis of talent training objectives, and the path analysis of talent training mode innovation.

scholarly journals The Nexus between Technological Innovation and Carbon Dioxide Emissions: Evidence from China

2018 ◽  
pp. 181-193
Author(s):  
Sarfaraz Ahmed Shaikh ◽  
Zainab Taiyyeba ◽  
Khalid Khan
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Technological Innovation ◽  
Environmental Quality ◽  
Carbon Dioxide Emissions ◽  
Positive Impact ◽  
Dynamic Effect ◽  
Development Economic ◽  
Kuznets Curve ◽  
Distributed Lag

This study inspects the dynamic effect of technological innovation, financial development, economic growth, and energy consumption on carbon dioxide (CO2) emissions. We applied the auto-regressive distributed lag (ARDL) model technique for the period from 1980 to 2017. The quantitative outcomes show a negative and insignificant relationship between technological innovation and environmental pollution in China during the said period. Furthermore, the long-run assessment results disclose that economic growth; boost-up the environmental quality of China. Thus, the results support the Environmental Kuznets Curve (EKC) hypothesis, which means that environmental degradation can be resolved inevitably by economic growth. Similarly, results show that the financial sector development exerts a positive impact on environmental quality.

scholarly journals The Problem of Carbon Dioxide Emissions from Closed Coal Mine Shafts – The Overview and the Case Study

2016 ◽  
Vol 61 (3) ◽  
pp. 587-600
Author(s):  
Paweł Wrona ◽  
Józef Sułkowski ◽  
Zenon Różański ◽  
Grzegorz Pach
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Mining Area ◽  
Emission Point ◽  
Water Pumping ◽  
Gas Hazard ◽  
Flow Through ◽  
Reporting Procedures

Abstract Greenhouse gas emissions are a common problem noticed in every mining area just after mine closures. However, there could be a significant local gas hazard for people with continuous (but variable) emission of these gases into the atmosphere. In the Upper Silesia area, there are 24 shafts left for water pumping purposes and gases can flow through them hydraulically. One of them – Gliwice II shaft – was selected for inspection. Carbon dioxide emission with no methane was detected here. Changes in emission and concentration of carbon dioxide around the shaft was the aim of research carried out. It was stated that a selected shaft can create two kinds of gas problems. The first relates to CO2 emission into the atmosphere. Possible emission of that gas during one minute was estimated at 5,11 kg CO2/min. The second problem refers to the local hazard at the surface. The emission was detected within a radius of 8m from the emission point at the level 1m above the ground. These kinds of matters should be subject to regular gas monitoring and reporting procedures.

Driving Factors Analysis of Carbon Dioxide Emissions in China Based on STIRPAT Model

2013 ◽  
Vol 734-737 ◽  
pp. 1910-1914 ◽  
Author(s):  
Qiao Zhi Zhao ◽  
Qing You Yan
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
Carbon Dioxide Emission ◽  
Urbanization Process ◽  
Stirpat Model ◽  
Factors Analysis ◽  
Secondary Industry

China is developing at relatively high speed, not only the regional development speed should be focused upon, but also the environmental impact of economic growth should be paid attention to, especially the level change of carbon dioxide emission. To some degree, quantity of carbon dioxide emission has become one of the most important indexes for measuring quality of a nations economic growth. Thus, this thesis is trying to analyze the driving relations between economic growth and carbon dioxide. Upon STIRPAT model, ridge regression method and elasticity theory are applied to analyze the influencing factors of carbon dioxide quantity such as the population quantity, Chinas urbanization process, per capita GDP, energy density and the percentage of the secondary industry. Correspondingly, based on the different influencing variables to carbon dioxide emission quantity, needy measures are brought out to control and decrease emissions. Feasible suggestions are trying to improve Chinas economic development quality.

FOREIGN DIRECT INVESMENT OUTFLOWS AND ENVIRONMENTAL POLLUTION: HIDDEN COINTEGRATION ANALYSIS FOR TURKEY

2021 ◽  
Vol 6 (11) ◽  
pp. 165-182
Author(s):  
Ahmet Emrah TAYYAR
Keyword(s):  
Carbon Dioxide ◽  
Foreign Direct Investment ◽  
Environmental Pollution ◽  
Environmental Quality ◽  
Carbon Dioxide Emissions ◽  
Direct Investment ◽  
Causality Relationship ◽  
Cointegration Relationship

The relationship between foreign direct investment, which is a type of cross-border and long-term investment, and environmental quality is a current issue that is heavily debated. Foreign direct invesments can ensure economic growth and development of countries, while also causing a change in environmental quality. In the research conducted, it is seen that changes in carbon dioxide emissions with foreign direct capital inflows are mainly investigated from the point of view of the host countries. However, foreign direct invesment outflows may have an impact on the environmental quality of the home country. Because foreign direct invesment outflows can enable the transfer of more environmentally friendly techonogies to the country and strengthen management skills. The impact of foreign direct investment outflows on the home country's environmental pollution is shaped by many factors (scale, technique, and composition effects). In addition to these effects, it is necessary to pay attention to the regional and sectoral distribution of capital outflows. The main aim of this study is to examine the links between Turkey's foreign direct invesment outflows and carbon dioxide emissions for the period 1990-2018. For this reason, a unit root test was applied to variables whose natural logarithm was taken. Tests showed that all series are stable of the same degree. Engle&Granger(1987) and Granger&Yoon(2002) tests were used to determine the cointegration relationship between variables. The crouching error correction model(CECM) was applied to determine the causality relationship. According to the results of the analysis; i) In terms of the Engle&Granger(1987) test, there was no long-term relationship between variables. ii) According to the Granger&Yoon(2002) test, it was determined that there is a bidirectional hidden cointegration relationship between the positive shocks of carbon dioxide emissions and negative shocks of foreign direct invesment outflows. iii) There is a bidirectional asymmetric causality relationship between the positive shocks of carbon dioxide emissions and the negative shocks of foreign direct invesment outflows. iv) It is observed that 1% negative shocks in foreign direct invesment outflows reduce positive shocks in carbon dioxide emissions by 0,26%. As a result, since negative situations in foreign direct invesment outflows have an effect on improving the quality of the environment, the environmental dimension should be taken into account in the policies to be made.

scholarly journals ENERGY-RELATED CARBON DIOXIDE EMISSIONS AND ENVIRONMENTAL EFFICIENCY IN THE EUROPEAN UNION AGRICULTURE: COMPARISON OF DIFFERENT BENCHMARKING TECHNIQUES

2016 ◽  
Vol 38 (3) ◽  
pp. 192-206 ◽  
Author(s):  
Tomas Baležentis ◽  
Daiva Makutėnienė
Keyword(s):  
Carbon Dioxide ◽  
European Union ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Value Added ◽  
The European Union ◽  
Undesirable Output ◽  
Energy Technologies ◽  
Desirable Output ◽  
Low Performance

The literature suggests different approaches towards modelling of the environmental impact caused by the production processes. The present paper attempts to establish a framework for multicriteria comparison of agricultural sectors of the European Union Member States and identify the performance gaps in terms of energy-related carbon dioxide emission. The research relies on the two approaches, viz. the by-production approach and the multi-criteria decision making approach. The environmental performance indicators were evaluated in regards to the desirable output (gross value added), inputs, and the undesirable output (carbon dioxide emission). The results indicate that Slovakia, Estonia, Lithuania, and Hungary should attempt to improve their carbon factors by implementing cleaner energy technologies. The combinations of by-production sub-indices suggest that productivity gains are more important for Sweden, Belgium, Poland, and France. Czech Republic, Latvia, and Finland are specific with low performance in terms of both the intended production and the undesirable output. The MCDM approach identified similar trends in performance as suggested by country ranking and correlation analysis.

scholarly journals Analysis of monthly CO2 emission trends for major EU Countries: a time series approach

2021 ◽  
Author(s):  
Marco Quatrosi
Keyword(s):  
Carbon Dioxide ◽  
Crude Oil ◽  
Carbon Dioxide Emissions ◽  
Structural Breaks ◽  
Carbon Dioxide Emission ◽  
Diesel Oil ◽  
Hard Coal ◽  
Eu Countries ◽  
Greenhouse Gasses ◽  
Time Series Approach

<p>The following paper analyses monthly trends for CO<sub>2 </sub>emissions from energy consumption for 31 European countries, four primary fuels (i.e., Crude Oil, Natural Gas, Hard Coal, Lignite) and three secondary fuels (i.e., Gas/Diesel Oil, LPG, Naphta, Petroleum Coke) from 2008 to 2019. Carbon dioxide emission has been estimated following the Reference Approach in the 2006 IPCC Guidelines for National Greenhouse Gasses Inventories. Country-specific (e.g. Tier 2) coefficient were retrieved from the IPCC Emission Factor Database and the UN Common Reporting Framework. Data on fuel consumption (e.g., Gross Inland Deliveries) were taken from the Eurostat database. This paper will fill some knowledge gap analysing monthly trends of carbon dioxide emissions for major EU Countries. As the progressive phase-out of carbon is taking place pretty much in all Europe, Crude Oil exerted the largest amount of carbon dioxide emissions in the period considered. Analysis of selected countries unveiled several clusters within the EU in terms of major source of emissions. As final step, the paper has endeavoured the task of fitting a model for monthly CO<sub>2 </sub>forecasting. The whole series presents two structural breaks and can be explained by an autoregressive model of the first order. Indeed, further speculations on a more appropriate fit and more fuels in the estimation, is demanded to other works.</p>

A Step Towards Environmental Mitigation: How Do Economic Complexity And Natural Resources Matter? Focusing On Different Institutional Quality Level Countries

2021 ◽  
Author(s):  
Parisa Esmaeili ◽  
Meysam Rafei ◽  
Daniel Balsalobre- Lorente
Keyword(s):  
Natural Resources ◽  
Environmental Quality ◽  
Ecological Footprint ◽  
Positive Impact ◽  
Institutional Quality ◽  
Clean Energy ◽  
Quality Level ◽  
Renewable Energy Consumption ◽  
Vector Autoregressive ◽  
Economic Complexity

Abstract Changes in the economic structure and human lifestyle lead to environmental pollution, one of today's prime challenges. With this in mind, the main objectives of this study are to evaluate the impacts of economic complexity, natural resources, renewable energy consumption, and foreign direct investment on the ecological footprint in weak, medium, and high levels of institutional quality countries. This study is probably one of the first studies to examine the effect of the economic complexity on ecological footprint and classify countries based on their institutional quality levels. Furthermore, the interaction of economic complexity and natural resources is considered a new variable. For this purpose, the panel vector autoregressive model is used. The results revealed that economic complexity in all countries has a positive impact on ecological footprint, and also it has the greatest impact on ecological footprint among the considered variables. Conversely, the interaction of economic complexity and natural resources contributes to environmental quality. Notably, the impacts of study variables on ecological footprint are more robust in a medium level of institutional quality countries. According to the study's outcomes, the main recommendation is the R&D activities improvement to develop environmentally friendly technologies and clean energy infrastructure to improve environmental quality.

Carbon Dioxide Emissions, Urbanization Level and Industrial Structure: Empirical Evidence from North China

2021 ◽  
Author(s):  
Zhuoya Siqin ◽  
Dongxiao Niu ◽  
Mingyu Li ◽  
Hao Zhen ◽  
Xiaolong Yang
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
North China ◽  
Industrial Structure ◽  
Unit Root Test ◽  
Panel Cointegration ◽  
Test Panel ◽  
Causality Test ◽  
Cross Sectional ◽  
Urbanization Level

Abstract This paper aims to examine the nexus among carbon dioxide (CO2) emissions, urbanization level and industrial structure in North China over the period 2004–2019, according to an expanded Cobb-Douglas production function. The panel econometric techniques are employed to complete the empirical analysis, including cross-sectional correlation test, panel unit root test, panel cointegration test and panel Granger causality test. The empirical results support the long-term equilibrium relationship among CO2 emissions, urbanization level and industrial structure in North China, and the urbanization level contributes most to CO2 emissions, followed by fossil energy consumption. Furthermore, the bidirectional causality between CO2 emissions and urbanization level and unidirectional causality from industrial structure to CO2 emissions are found in North China, indicating that urbanization level and industrial structure have significant impacts on CO2 emissions. Finally, according to the empirical findings, several policy suggestions are proposed for the purpose of reducing CO2 emissions in North China.

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