The Asymmetric Impact of Economic Growth, Energy Consumption, Population, and R&D on Carbon Emission in Turkey

2022 ◽  
pp. 200-215
Author(s):  
Nurcan Kilinc-Ata
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Nonlinear Ardl ◽  
Asymmetric Impact ◽  
The Asymmetry ◽  
Growth Energy

The presented study analyzes the asymmetry effect of research and development (R&D) expenditures, population growth, energy consumption, and economic growth on carbon emissions in the sample of Turkey for the period 1990-2020. Nonlinear ARDL is used to control the asymmetry of the variables. Linear ARDL is used to control the long-term and short-term relationships between the variables. The findings show that there is a symmetrical or linear relationship between the variables of R&D expenditures, population growth, energy consumption, economic growth, and carbon emissions. The findings display that economic growth and R&D are effective in reducing carbon emissions, while energy consumption seems to increase carbon emissions. Interestingly, the population was found to be effective in reducing carbon emissions in the study. In order for Turkey to reach its 2050 target, it is necessary to give priority to environmental regulations and policies.

Study on the Relationship between Energy Consumption, Carbon Emission and Economic Growth in China

2013 ◽  
Vol 869-870 ◽  
pp. 746-749
Author(s):  
Tian Tian Jin ◽  
Jin Suo Zhang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Structure ◽  
Ardl Model ◽  
Relationship Of ◽  
The Relationship ◽  
Reducing Energy

Abstract. Based on ARDL model, this paper discussed the relationship of energy consumption, carbon emission and economic growth.The results indicated that the key to reduce carbon emissions lies in reducing energy consumption, optimizing energy structure.

Research on the Relationship between Economic Growth, Environmental Governance Investment and Carbon Emission--Based on the Time Series Data from 2000 to 2019

2020 ◽  
pp. 713-727
Author(s):  
Xiaohui Wang, Xin Zhang
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Environmental Governance ◽  
Time Series Data ◽  
Series Data ◽  
Per Capita ◽  
The Relationship

The study on the relationship between investment in environmental governance, carbon emission and economic growth is helpful for the relevant government departments to coordinate the influence among them when formulating the policies of reducing emission and conserving energy, so as to take the comparative advantages of various factors and promote the benign interaction between economic development and environmental governance. In this paper, the data of Per capita GDP, per capita investment in environmental governance and per capita CARBON dioxide emissions in China from 2000 to 2019 are selected as the research basis, and variables are studied by means of Granger causality and impulse response function. As shown in the results, there is a single Granger relationship between investment in environmental governance and carbon emissions, that is, the increase of investment in environmental governance leads to the reduction of carbon emissions. The influence of economic growth on environmental governance investment is small, but in the long term, it can restrain the growth of carbon emissions. Investment in environmental governance can promote economic growth and stimulate a reduction in the emissions in the short term; Economic growth was hindered by the emissions in the long term and fail to stimulate increased investment in environmental governance. Based on these findings, this paper proposes policy Suggestions for optimizing the structure of environmental governance investment, improving the carbon emission monitoring and response mechanism, and strengthening the technological level of energy conservation and emission reduction.

scholarly journals The carbon emissions of Chinese cities

2012 ◽  
Vol 12 (14) ◽  
pp. 6197-6206 ◽  
Author(s):  
H. Wang ◽  
R. Zhang ◽  
M. Liu ◽  
J. Bi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
National Policy ◽  
Emission Inventories ◽  
Chinese Cities ◽  
Industrial Energy ◽  
Per Capita ◽  
Policy Priority

Abstract. As increasing urbanization has become a national policy priority for economic growth in China, cities have become important players in efforts to reduce carbon emissions. However, their efforts have been hampered by the lack of specific and comparable carbon emission inventories. Comprehensive carbon emission inventories for twelve Chinese cities, which present both a relatively current snapshot and also show how emissions have changed over the past several years, were developed using a bottom-up approach. Carbon emissions in most Chinese cities rose along with economic growth from 2004 to 2008. Yet per capita carbon emissions varied between the highest and lowest emitting cities by a factor of nearly 7. Average contributions of sectors to per capita emissions for all Chinese cities were 65.1% for industrial energy consumption, 10.1% for industrial processes, 10.4% for transportation, 7.7% for household energy consumption, 4.2% for commercial energy consumption and 2.5% for waste processing. However, these shares are characterized by considerable variability due to city-specific factors. The levels of per capita carbon emissions in China's cities were higher than we anticipated before comparing them with the average of ten cities in other parts of the world. This is mainly due to the major contribution of the industry sector in Chinese cities.

scholarly journals Asymmetric Impact of International Trade on Consumption-Based Carbon Emissions in MINT Nations

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6581
Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Husam Rjoub ◽  
Mirela Panait ◽  
Catalin Popescu
Keyword(s):  
Economic Growth ◽  
International Trade ◽  
Carbon Emissions ◽  
Causality Test ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Short Run ◽  
Asymmetric Impact ◽  
Positive Shock ◽  
Bds Test

The association between carbon emissions and international trade has been examined thoroughly; however, consumption-based carbon emissions, which is adjusted for international trade, have not been studied extensively. Therefore, the present study assesses the asymmetric impact of trade (import and export) and economic growth in consumption-based carbon emissions (CCO2) using the MINT nations (Mexico, Indonesia, Nigeria and Turkey) as a case study. We applied the Nonlinear ARDL to assess this connection using dataset between 1990 and 2018. The outcomes from the BDS test affirmed the use of nonlinear techniques. Furthermore, the NARDL bounds test confirmed long-run association between CCO2 and exports, imports and economic growth. The outcomes from the NARDL long and short-run estimates disclosed that positive (negative) shocks in imports increase (decrease) CCO2 emissions in all the MINT nations. Moreover, positive (negative) shocks in exports decrease (increase) CCO2 emissions in all the MINT nations. As expected, a positive shock in economic growth triggers CCO2 emissions while a negative shift does not have significant impact on CCO2 emissions in the MINT nations. Furthermore, we applied the Gradual shift causality test and the outcomes disclose that imports and economic growth can predict CCO2 emissions in the MINT nations. The study outcomes have significant policy recommendations for policymakers in the MINT nations.

scholarly journals Symmetric and Asymmetric Impact of Poverty, Income Inequality, and Population on Carbon Emission in Pakistan: New Evidence From ARDL and NARDL Co-Integration

2021 ◽  
Vol 9 ◽  
Author(s):  
Salim Khan ◽  
Wang Yahong
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Environmental Degradation ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Policy Implications ◽  
Gdp Per Capita ◽  
Long Run ◽  
Asymmetric Impact ◽  
Per Capita

Several researchers have studied the relationship between poverty and environmental degradation, as these concerns are remained at top priority in achieving Sustainable Development Goals (SDGs). However, the symmetric and asymmetric impact of poverty and income inequality along with population and economic growth on carbon emissions (CO2e) has not been studied in the case of Pakistan. For this purpose, the short and long-run impact of poverty, income inequality, population, and GDP per capita on CO2e investigated by applying the Autoregressive Distributive Lag (ARDL) along with Non-linear Autoregressive Distributive Lag (NARDL) co-integration approach in the context of Pakistan for period 1971–2015. The symmetric results of the current study show poverty and population density along with GDP per capita increase carbon emissions in both the short and long-run, while income inequality has no impact on carbon emissions in the short-run. While in the long-run the symmetric results show that income inequality weakens environmental degradation in terms of carbon emissions. The analysis of NARDL also supports the results obtained from ARDL and suggests a positive effect of poverty, population, and economic growth on carbon emission in Pakistan. The empirical findings of the current study provide policy implications in light of the United Nation's SDGs for the development of Pakistan.

scholarly journals Asymmetric Impact of Energy Utilization and Economic Development on Environmental Degradation in Somalia

2021 ◽  
Author(s):  
Abdimalik Ali Warsame ◽  
Samuel Asumadu Sarkodie
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Population Growth ◽  
Environmental Degradation ◽  
Positive Change ◽  
Negative Change ◽  
Asymmetric Impact ◽  
Positive Shock ◽  
Negative Shock

Abstract While there are enormous studies on climate change in stable countries, climate policy perspectives from conflict-prone regions including Somalia are limited. This study investigates the asymmetric impact of energy and economic growth on environmental degradation in Somalia—by employing nonlinear autoregressive distributed lag model (NARDL) and causal techniques from 1985 to 2017. We find asymmetric long-term cointegration among the variables, whereas energy consumption and economic growth asymmetrically affect environmental degradation. Besides, the causal inferences reveal unidirectional causality from environmental pollution to positive change in energy consumption. Additionally, we find unidirectional causality from negative shock in economic growth to positive shock in economic growth. Moreover, a bidirectional causality is observed between population growth and negative change in economic growth. A unidirectional causality is confirmed from positive shock in economic growth to population growth—from negative change in economic growth to negative shock in energy consumption—from positive change in economic growth to positive shock in energy consumption—and negative change in energy consumption to population growth. This calls for the implementation of clean energy investment policies, good farming methods, and improved grazing land policies. The adoption of these policies will improve both environmental quality and sustained economic development.

scholarly journals Energy Demand and Carbon Emission Peak Forecasting of Beijing Based on Leap Energy Simulation Method

2020 ◽  
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Demand ◽  
Carbon Emission ◽  
Simulation Method ◽  
Negative Influence ◽  
Low Carbon ◽  
Peak Value

<p>The long-term forecasting of the energy demand is an important issue of an area’s sustainable development, especially for mega cities such as Beijing. Beijing is changing its energy supply strategy to depend on energy imports from other provinces due to the city’s long-term low carbon sustainable development plan. Beijing has promised that it will reach the peak value of energy consumption by 2050 and the peak value of the carbon emissions by 2030. To understand whether this can be achieved, this study built an energy demand simulation model using the LEAP with different development scenarios. The results show that, the peak value of Beijing’s energy demand is between 108.25 and 131.74 Mtce during the period of 2044 to 2048, while the peak value of carbon emissions is between 134 and 139.38 million tons in 2025. We also find that adjusting the industry structure and improving the tertiary industry’s energy usage efficiency can be efficient ways to reduce energy consumption. These approaches not only reduce the negative influence of the economic development, but also achieve the energy saving and carbon emission reducing requirements. This study provides an interpretation of the implications for the future energy and climate policies of Beijing.</p>

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