The Scenario Forecasting Analysis of CO2 Emissions of China

2013 ◽  
Vol 869-870 ◽  
pp. 836-839
Author(s):  
Jian Jun Wang ◽  
Li Li

This paper uses STRIPAT models to find the impact of population, economy and technology on CO2 emissions of China. The result shows the impact of population, economy and technology on CO2 emissions are 1.253, 1.076, and 1.077 respectively. According to the future prospect of China, three scenarios of Chinas economic development are given to forecast the CO2 emissions, the forecasting results shows that if Chinas economic, population and energy consumption is increasing 7%, 0.4%, 5% every year, respectively. CO2 emissions will reach 21.05×108t in 2020. The CO2 emissions per unit GDP is decreasing by 45.54% in 2020 compared to 2005, which can fulfill the Chinese governments promise to decrease the GHG emissions per unit GDP by 40-45% in 2020 compared to 2005.

2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.


Author(s):  
Paul Stevens

This chapter is concerned with the role of oil and gas in the economic development of the global economy. It focuses on the context in which established and newer oil and gas producers in developing countries must frame their policies to optimize the benefits of such resources. It outlines a history of the issue over the last twenty-five years. It considers oil and gas as factor inputs, their role in global trade, the role of oil prices in the macroeconomy and the impact of the geopolitics of oil and gas. It then considers various conventional views of the future of oil and gas in the primary energy mix. Finally, it challenges the drivers behind these conventional views of the future with an emphasis on why they may prove to be different from what is expected and how this may change the context in which producers must frame their policy responses.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová

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.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2363
Author(s):  
Mihaela Simionescu ◽  
Carmen Beatrice Păuna ◽  
Mihaela-Daniela Vornicescu Niculescu

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.


2021 ◽  
Vol 13 (23) ◽  
pp. 13457
Author(s):  
Hala Aburas ◽  
Isam Shahrour

This paper analyzes the mobility restrictions in the Palestinian territory on the population and the environment. The literature review shows a scientific concern for this issue, with an emphasis on describing mobility barriers and the severe conditions experienced by the population due to these barriers as well as the impact of mobility restrictions on employment opportunities. On the other hand, the literature review also shows a deficit in quantitative analysis of the effects of mobility restrictions on the environment, particularly on energy consumption and greenhouse gas emissions. This paper aims to fill this gap through a quantitative analysis by including data collection about mobility restrictions, using network analysis to determine the impact of these restrictions on inter-urban mobility, and analysis of the resulting energy consumption and CO2 emissions. The results show that mobility restrictions induce a general increase in energy consumption and CO2 emissions. The average value of this increase is about 358% for diesel vehicles and 275% for gasoline vehicles.


2017 ◽  
Author(s):  
Richard J. Matear ◽  
Andrew Lenton

Abstract. Carbon-climate feedbacks have the potential to significantly impact the future climate by altering atmospheric CO2 concentrations (Zaehle et al., 2010). By modifying the future atmospheric CO2 concentrations, the carbon-climate feedbacks will also influence the future trajectory for ocean acidification. Here, we use the CO2 emissions scenarios from 4 Representative Concentration Pathways (RCPs) with an Earth System Model to project the future trajectories of ocean acidification with the inclusion of carbon-climate feedbacks. We show that simulated carbon-climate feedbacks can significantly impact the onset of under-saturated aragonite conditions in the Southern and Arctic Oceans, the suitable habitat for tropical coral and the deepwater saturation states. Under higher emission scenarios (RCP8.5 and RCP6.0), the carbon-climate feedbacks advance the onset of under-saturation conditions and the reduction in suitable coral reef habitat by a decade or more. The impact of the carbon-climate feedback is most significant for the medium (RCP4.5) and low emission (RCP2.6) scenarios. For RCP4.5 scenario by 2100, the carbon-climate feedbacks nearly double the area of surface water under-saturated respect to aragonite and reduce by 50 % the surface water suitable for coral reefs. For RCP2.6 scenario by 2100, the carbon-climate feedbacks reduce the area suitable for coral reefs by 40 % and increase the area of under-saturated surface water by 20 %. The high sensitivity of the impact of ocean acidification to the carbon-climate feedbacks in the low to medium emissions scenarios is important because our recent commitments to reduce CO2 emissions are trying to move us on to such an emissions scenario. The study highlights the need to better characterise the carbon-climate feedbacks to ensure we do not excessively stress the oceans by under-estimating the future impact of ocean acidification.


2020 ◽  
Vol 12 (19) ◽  
pp. 7965
Author(s):  
Oluyomi A. Osobajo ◽  
Afolabi Otitoju ◽  
Martha Ajibola Otitoju ◽  
Adekunle Oke

This study explored the effect of energy consumption and economic growth on CO2 emissions. The relationship between energy consumption, economic growth and CO2 emissions was assessed using regression analysis (the pooled OLS regression and fixed effects methods), Granger causality and panel cointegration tests. Data from 70 countries between 1994–2013 were analysed. The result of the Granger causality tests revealed that the study variables (population, capital stock and economic growth) have a bi-directional causal relationship with CO2 emissions, while energy consumption has a uni-directional relationship. Likewise, the outcome of the cointegration tests established that a long-run relationship exists among the study variables (energy consumption and economic growth) with CO2 emissions. However, the pooled OLS and fixed methods both showed that energy consumption and economic growth have a significant positive impact on CO2 emissions. Hence, this study supports the need for a global transition to a low carbon economy primarily through climate finance, which refers to local, national, or transnational financing, that may be drawn from public, private and alternative sources of financing. This will help foster large-scale investments in clean energy, that are required to significantly reduce CO2 emissions.


2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Andi Kurniawan

Penelitian ini bertujuan mengidentifikasi dampak pembangunan ekonomi dan proses industrialisasi terhadap Degradasi lingkungan di Indonesia baik dalam jangka panjang maupun jangka pendek. Untuk melihat pengaruh pembangunan ekonomi dan industrialisasi terhadap penurunan kualitas lingkungan di Indonesia, penelitian ini menggunakan model Enviromental Kuznet Curve (EKC) dan dengan model Error Correction Mechanism (ECM). Hasil penelitian menjelaskan bahwa dalam jangka panjang peningkatan pendapatan masyarakat dan industrilasasi berpengaruh positif  secara linier terhadap peningkatan emisi C02 dan pada tingkat pendapatan tertentu terjadi proses perbaikan lingkungan yang ditandai dengan penurunan emisi CO2. Namun dalam jangka pendek hanya industrialisasi yeng membrikan pengaruh pada peningkatan emisi CO2. Diharapkan adanya konsesus bersama antara pemerintah dan pelaku usaha (industri) dalam mengurangi dampak pencemaran serta adanya peningkatan kesadaran masyakat dalam membantu mengurangi kerusakan lingkungan hidup.   Abstract This study aims to identify the impact of economic development and industrialization to  the environmental degradation in Indonesia, both in the long term and short term. To see the effect of economic development and industrialization to the environmental degradation in Indonesia, this research was  used Environmental Kuznets Curve (EKC) model and the model of  Error Correction Mechanism (ECM). The results of the study explain that in the long term, improvement of people's income and industrialization have positive effect linearly with the increase in C02 emissions and at a certain income level there is a process improvement environment characterized by a decrease in CO2 emissions. But in the short term only industrialization which influence on the increase of CO2 emissions Expected that the consensus between the government and businesses (industri) in reducing the impact of pollution and the increased awareness of society in helping to reduce environmental damage.    


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