scholarly journals Appraisal of CO2 Emission in Tunisia's Industrial Sector: A Dynamic Vector Autoregression Method

2021 ◽  
Author(s):  
Besma Talbi ◽  
Muhammad Ramzan ◽  
Hafiz Arslan Iqbal ◽  
Buhari Doğan
Keyword(s):  
Economic Growth ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Natural Gas ◽  
Environmental Degradation ◽  
Large Scale ◽  
Dominant Role ◽  
Industrial Sector ◽  
Kuznets Curve ◽  
Additional Energy

Abstract The World is confronted with a slew of environmental issues, one of which is how to attenuate the detrimental impacts of CO2 emissions-induced climate change. The ever-increasing use of energy is eroding natural resources to the point that our economic future may be jeopardized. The Tunisian economic growth indicates the excellent performance in the industrial sector as the minimum required input for these developments necessitates additional energy consumption, resulting in increased CO2 emissions and environmental degradation. This study explores the role of energy efficiency, urbanization, economic growth, and natural gas energy usage in the industrial sector on carbon dioxide (CO2) emissions of Tunisia. The research mainly employs the Vector Autoregressive Model (VAR) to examine the factors driving the evolution of CO2 emissions through the industrial sector from 2000 to 2018. The findings assess that natural gas as an energy source and efficiency are crucial for reducing CO2 emissions. The study has shown the existence of the Environmental Kuznets Curve (EKC), which demonstrates that economic development in Tunisia has an inverted U-shape connection with CO2 emissions. The results indicate that energy consumption and GDP significantly affect CO2 emissions due to large-scale population movements and industrial structure transformation. In contrast, energy efficiency plays a dominant role in decreasing CO2 emissions. The article will assist economic decision-makers and related authorities in formulating an appropriate energy policy for the industrial sector based on the study's outcomes to protect environmental degradation in the long run by reducing carbon emissions.

Research on the Regional Low-Carbon Industrial Development: A Case of Tianjin Binhai New Area

2011 ◽  
Vol 219-220 ◽  
pp. 250-253 ◽  
Author(s):  
Xiao Ying Cui ◽  
Hui Ming Li ◽  
Lei Wang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Industrial Development ◽  
Carbon Emission ◽  
Large Scale ◽  
Industrial Structure ◽  
Industrial Sector ◽  
Energy Structure ◽  
Low Carbon ◽  
Tianjin Binhai New Area

Energy consumption induced by industry sector is the main source of carbon emission. So it is important to the policy making that research on the low-carbon industrial development, which is aiming to establish an industry system with low-carbon character. There are four restrictive factors on low-carbon industrial development in Tianjin Binhai New Area of China: the rather large scale of the secondary industry, the heavy industrial structure which strongly caused the increasing energy consumption, the high-carbon energy structure of industrial sector, and the lower industrial energy efficiency which has certain gap compared with other regions. Several countermeasures are proposed to reduce carbon emission induced by industrial sector, such as improving energy efficiency, optimizing energy structure, establishing multiple-access financing mechanism to encourage R&D on low-carbon technology, enhancing the development of low carbon industry, participating in the international cooperation actively, and making strategic plan of low-carbon industrial development.

scholarly journals The wealth of nations and sustainable development: energy intensity and the environmental Kuznets curve

2020 ◽  
Vol 11 (1) ◽  
pp. 110-123 ◽  
Author(s):  
Ola Honningdal Grytten ◽  
Magnus Lindmark ◽  
Kjell Bjørn Minde
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Energy Intensity ◽  
Polynomial Regression ◽  
Continuous Series ◽  
Kuznets Curve ◽  
Wealth Of Nations ◽  
The Relationship

Scholars warn that wealth leads to unsustainable environmental development. However, over the last decades, studies have shown an increase in environmental degradation at the initial stage of economic growth, and then a decline when economic growth reaches a certain level. This first acceleration and then deceleration create an inverted U-shaped curve between pollution and economic growth, called the environmental Kuznets curve (EKC). Environmental degradation can be measured by different factors. This paper deals with two of them, i.e. energy consumption and energy intensity (EI). The latter is measured as the ratio between energy consumption and GDP. The relationship of energy consumption and intensity to economic growth can serve as a tool for examining whether an EKC exists. The paper presents continuous series of energy consumption energy intensity and gross domestic product for the Norwegian mainland economy 1835–2019. The series are used to examine the possible existence of relative and absolute environmental Kuznets curves (EKC). Time series are established using available data and annual figures for 1835–2019, which are presented for the first time. They depict a development that, first, reflects an almost constant downward trend in EI, and, second, the existence of EKCs. The paper also proposes a polynomial regression model to discuss the relationship between environmental degradation as measured by energy consumption and intensity on the one hand, and economic growth on the other. It is concluded that there are both relative and absolute EKC-relations between environmental degradation and economic growth, with 1975 as relative and 2002 as absolute turning point.

scholarly journals Investigating the Dynamic Impact of FDI Inflows and Economic Growth on Environmental Degradation: Evidence From FMOLS and DOLS for Selected Asian Countries

2021 ◽  
Vol 16 (3) ◽  
pp. 183-202
Author(s):  
Hamad Hasul Khan ◽  
◽  
Siti Rahyla Rahmat ◽  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Environmental Degradation ◽  
Ordinary Least Squares ◽  
Kuznets Curve ◽  
Asian Countries ◽  
Fdi Inflows ◽  
Long Run

The study examines the dynamic relationship between foreign direct investment (FDI) inflows, economic growth, and environmental degradation and investigates the long-run validity of the environmental Kuznets curve (EKC) and the pollution haven hypothesis (PHH) for selected Asian countries over the period 1990–2019. Additionally, this study aims to discover the longrun impact of energy consumption, globalization, and population density on environmental degradation by employing a panel cointegration approach, fully modified ordinary least squares (FMOLS), and dynamic ordinary least squares (DOLS). The findings provide clear evidence of the existence of EKC and PHH in Asian countries for the period 1990–2019 in the long run. The findings reveal that economic growth has a highly significant and positive role in depleting environmental quality, but this effect gets reversed in the long run as, after a certain turning point, economic growth increases, and the quality of the environment gets better. Moreover, FDI inflows and energy consumption have a positive long-run impact on CO2 emissions, thus contributing to environmental degradation. The study recommends that governments and policymakers should strategically devise and implement CO2 reduction policies, such as carbon pricing, to encourage economic growth and to improve the quality of the environment, with the ultimate goal being to achieve sustainable development. Moreover, the use of cleaner energy should be promoted, and innovations and technological developments should be encouraged for hydropower, wind power, solar energy and other facilities around the world.

scholarly journals The Role of Energy Consumption, Economic Growth and Globalization in Environmental Degradation: Empirical Evidence from the BRICS Region

2021 ◽  
Vol 13 (4) ◽  
pp. 1924
Author(s):  
Habib Ur Rahman ◽  
Umer Zaman ◽  
Jarosław Górecki
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Environmental Degradation ◽  
Carbon Emission ◽  
Panel Cointegration ◽  
Ordinary Least Squares ◽  
Kuznets Curve ◽  
Annual Data ◽  
Long Run

This paper examines the effect of energy consumption, globalization, and economic growth on the CO2 emission of the BRICS (Brazil, Russian Federation, India, China and South Africa) region. Using annual data from 1989 to 2019, this research applies a panel cointegration approach. In this framework, we use Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) methods to examine the long-run relationship between the selected variables. This empirical investigation reveals that there is a long-run association between these variables, and energy consumption positively and significantly affects the carbon emission in these countries. These results indicate that energy consumption is the primary source of environmental degradation in the region. In contrast, the globalization (KOF Index of Globalization) negatively and significantly affects the carbon emission, implying the improvement of environmental quality. Further, this research could not find the presence of environmental Kuznets curve in the region. Policy guidelines are suggested in the line of findings.

scholarly journals The Relationship between Economic Growth and Pollution in Some New European Union Member States: A Dynamic Panel ARDL Approach

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2363
Author(s):  
Mihaela Simionescu ◽  
Carmen Beatrice Păuna ◽  
Mihaela-Daniela Vornicescu Niculescu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Ghg Emissions ◽  
Kuznets Curve ◽  
Renewable Energy Consumption ◽  
Panel Ardl ◽  
Domestic Credit ◽  
The Impact ◽  
The Relationship

Considering the necessity of achieving economic development by keeping the quality of the environment, the aim of this paper is to study the impact of economic growth on GHG emissions in a sample of Central and Eastern European (CEE) countries (V4 countries, Bulgaria and Romania) in the period of 1996–2019. In the context of dynamic ARDL panel and environmental Kuznets curve (EKC), the relationship between GHG and GDP is N-shaped. A U-shaped relationship was obtained in the renewable Kuznets curve (RKC). Energy consumption, domestic credit to the private sector, and labor productivity contribute to pollution, while renewable energy consumption reduces the GHG emissions. However, more efforts are required for promoting renewable energy in the analyzed countries.

scholarly journals Dominance of Fossil Fuels in Japan’s National Energy Mix and Implications for Environmental Sustainability

2021 ◽  
Vol 18 (14) ◽  
pp. 7347
Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Seun Damola Oladipupo ◽  
Ephraim Bonah Agyekum ◽  
Arunkumar Jayakumar ◽  
...  
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Natural Gas ◽  
Co2 Emissions ◽  
Environmental Sustainability ◽  
Least Square ◽  
Kuznets Curve ◽  
Gas Oil ◽  
Energy Mix ◽  
Ordinary Least Square

Despite the drive for increased environmental protection and the achievement of the Sustainable Development Goals (SDGs), coal, oil, and natural gas use continues to dominate Japan’s energy mix. In light of this issue, this research assessed the position of natural gas, oil, and coal energy use in Japan’s environmental mitigation efforts from the perspective of sustainable development with respect to economic growth between 1965 and 2019. In this regard, the study employs Bayer and Hanck cointegration, fully modified Ordinary Least Square (FMOLS), and dynamic ordinary least square (DOLS) to investigate these interconnections. The empirical findings from this study revealed that the utilization of natural gas, oil, and coal energy reduces the sustainability of the environment with oil consumption having the most significant impact. Furthermore, the study validates the environmental Kuznets curve (EKC) hypothesis in Japan. The outcomes of the Gradual shift causality showed that CO2 emissions can predict economic growth, while oil, coal, and energy consumption can predict CO2 emissions in Japan. Given Japan’s ongoing energy crisis, this innovative analysis provides valuable policy insights to stakeholders and authorities in the nation’s energy sector.

scholarly journals Testing the Environmental Kuznets Curve Hypothesis for Turkey: The Role of Clean Energy Consumption and Ecological Footprint

2020 ◽  
Author(s):  
Suleyman Yurtkuran
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Environmental Kuznets Curve ◽  
Ecological Footprint ◽  
Clean Energy ◽  
Kuznets Curve ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

Abstract This study aims to investigate the dynamic relationship between income, clean energy consumption, exports, imports, urbanization and ecological footprint for Turkey from 1973 to 2015 using the environmental Kuznets curve hypothesis. The long-term coefficients derived from the ARDL approach demonstrate that import increase the ecological footprint, whereas urbanization and clean energy consumption do not have an impact on environmental pollution in the long-term. In addition, the 2001 dummy variable is negative and statistically significant. The crisis in 2001 slowed down the economic growth rate. This situation also caused reduction of environmental pollution. Moreover, the long run estimates indicate that the EKC hypothesis is valid in Turkey. However, the turning point of per capita income was calculated as $16,045 that outside of the analyzed period. As economic activities increase, human pressure on nature continues to increase. Consequently, the only factor that reduces the ecological footprint has been determined as exports. In contrast, economic growth and clean energy consumption cannot be used as a tool to reduce the ecological footprint. Turkey needs a higher level of per capita income than the threshold level to improve environmental quality.

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