scholarly journals THE IMPACT OF NATURAL RESOURCES, RENEWABLE ENERGY, ECONOMIC GROWTH ON CARBON DIOXIDE EMISSION IN MALAYSIA

2020 ◽  
Vol 10 (3) ◽  
pp. 211-218
Author(s):  
Natnaporn Aeknarajindawat ◽  
Boonsri Suteerachai ◽  
Pornkul Suksod
2021 ◽  
Vol 104 (3_suppl) ◽  
pp. 003685042110585
Author(s):  
Tzu-Kuang Hsu

In this paper, we propose an integrated method, called quantile mediation analysis, which combines quantile regression and mediation analysis, to examine the impact of renewable energy on carbon dioxide emissions, whether connected to or separate from through economic growth, from 1990 to 2018 in Taiwan. The results of this novel approach indicate that Taiwan's renewable energy did not affect carbon dioxide emissions through the mediation effect of economic growth from the period of 1990 to 2018, and that there is only a direct effect from renewable energy to carbon dioxide emissions at any distribution. Moreover, this result is remarkably different from the result of the traditional ordinary least square approach, which shows that Taiwan‘s renewable energy affects carbon dioxide emissions through the partial mediation effect of economic growth. In conclusion, we suggest that the Taiwanese government should increase the use of renewable energy in reducing local and global carbon dioxide emissions.


Author(s):  
Jarod C. Kelly ◽  
Deepak Sivaraman ◽  
Gregory A. Keoleian

Many studies that examine the impact of renewable energy installations on avoided carbon-dioxide utilize national, regional or state averages to determine the predicted carbon-dioxide offset. The approach of this computational study was to implement a dispatching strategy in order to determine precisely which electrical facilities would be avoided due to the installation of renewable energy technologies. This study focused on a single geographic location for renewable technology installation, San Antonio, Texas. The results indicate an important difference between calculating avoided carbon-dioxide when using simple average rates of carbon-dioxide emissions and a dispatching strategy that accounts for the specific electrical plants used to meet electrical demands. The avoided carbon-dioxide due to renewable energy technologies is overestimated when using national, regional and state averages. This occurs because these averages include the carbon-dioxide emission factors of electrical generating assets that are not likely to be displaced by the renewable technology installation. The study also provides a comparison of two specific renewable energy technologies: photovoltaics (PV) and wind turbines. The results suggest that investment in PV is more cost effective for the San Antonio location. While the results are only applicable to this location, the methodology is useful for evaluating renewable technologies at any location.


2021 ◽  
Vol 20 (4) ◽  
pp. 813-833
Author(s):  
Muhammed Veysel Kaya ◽  
Suat Serhat Yilmaz ◽  
Mehmet Gökhan Özdemir

Motivation: Humanity has benefited from natural resources in production activities throughout history and this pressure on natural resources has increased even more with the efforts of industrialization. In this process, people benefited heavily from fossil fuels in their production and distribution activities, thereby damaging the environment and the atmosphere to a large extent. With the destruction of the environment, it has become important for the countries and the academic circles to measure environmental damage with the increase of economic activities in order to take various measures. Aim: At this point, in this study, the relationship between economic growth and carbon-dioxide emissions was examined within the scope of 50 countries that are members of the Organization of Islamic Cooperation (OIC). In this process, annual data of the countries concerned between 1995 and 2017 were used; Pedroni Cointegration Analysis, Granger Causality Analysis, Pooled Mean Group Estimator (PMGE) and Mean Group Estimator (MGE) methods were used to measure and estimate the relationship between these two variables. The causality analysis shows that the economic growth is the Granger cause of carbon-dioxide emissions in the country group studied. In addition, the coefficients obtained in PMGE and MGE analyzes were found as 0.43 and 0.33 and were statistically significant and positive. Then, with the help of Hausman Homogeneity Test, it was decided between the two estimators, and it concluded that PMGE Estimator is the more reliable estimator. Results: The results obtained with the PMGE estimator indicate that the 1% increase in economic growth increased carbon dioxide emission by 0.43%.


2021 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
Aulia Hapsari Juwita ◽  
Suryanto Suryanto ◽  
Bhimo Rizky Samudro

The purpose of this paper is the international tourism have impact on economic growth and carbon dioxide (CO2) emissionsin ASEAN Five (Indonesia, Malaysia, Philippines, Thailand, Singapore) or not. There are increase in tourism receipts, GDP, and FDI as well as CO2 emissions approximately 9%, 5%, 4% and 26% respectively. They are always increasing, but is there any relation between international tourism, GDP and carbon dioxide (CO2). This research employs data from 1995 to 2018 to examine long-run equilibrium relationships between tourism, CO2, economic growth and foreign direct investment (FDI). Panel analysis with unit root and cointegration test approachis utilized. This paper found that there is a long-term equilibrium relationships between each variable.The tourism receipt, FDI and CO2 emissions affect economic growth positively and statistically significant. In addition, economic growth affect CO2 emissions while tourism does not affect CO2 and FDI indicates a negative relationship on CO2 emissions. Finally, the paper reveals that international tourism receipt affect economic growth but does not affect CO2.


2020 ◽  
Vol 5 (1) ◽  
pp. 21-43
Author(s):  
Folorunso Sunday Ayadi ◽  

This study investigates the impact of energy subsidy, energy consumption, urbanization, economic growth, foreign direct investment, and trade openness on carbon dioxide emission and other greenhouse gases in Nigeria. Based on the method of cointegration and Autoregressive Distributed Lag (ARDL), the study utilized data from 1970 to 2018 for the analysis. The study found fossil fuel consumption, economic growth, trade openness and PMS Price (a proxy for subsidy) as significantly increasing emission (Carbon dioxide) in Nigeria. The implication is that as that as the prices of PMS goes up (due to subsidy reduction), more of fuel is consumed. Our analysis demonstrated that PMS is price inelastic in Nigeria. In addition, subsidy or its removal will have no impact on carbon dioxide emission and other greenhouse gas emission in Nigeria. The study recommends the development of cleaner, renewable fuels and the development of abatement technology so as to mitigate the environmental impacts of growth. In addition, since the reduction in subsidy has no deterrent impact on fossil fuel consumption in Nigeria, then the recent removal of fossil fuel subsidy in Nigeria is a welcome development at least for the environment.


PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251816
Author(s):  
Deng Jie Long ◽  
Li Tang

With the change of social economic system and the rapid growth of agricultural economy in China, the amount of agricultural energy consumption and carbon dioxide emissions has increased dramatically. Based on the estimation of agricultural carbon dioxide emissions from 1991 to 2018 in China, this paper uses EKC model to analyze economic growth and agricultural carbon dioxide emissions. The Kaya method is used to decompose the factors affecting agricultural carbon dioxide emissions. The experimental results show that there is a co-integration relationship between economic growth and the total intensity of agricultural carbon emissions, and between economic growth and the intensity of carbon emissions caused by five types of carbon sources: fertilizer, pesticide, agricultural film, agricultural diesel oil and tillage. Economic growth is the main driving factor of agricultural carbon dioxide emissions. In addition, technological progress has a strong role in promoting carbon emission reduction, but it has a certain randomness. However, the impact of energy consumption structure and population size on carbon emissions is not obvious.


This paper adopts an innovative method, called a quantile mediation analysis, which combines a quantile regression and mediation analysis to examine the impact of trade openness on carbon dioxide emission whether through economic growth or not from 1990 to 2018 in Taiwan. The result of the traditional ordinary least square approach shows that Taiwan’s trade openness affects carbon dioxide emission through the full mediation effect of economic growth for the period of 1990-2018 and there is no direct relation between trade openness and carbon dioxide emission. Moreover, the results of this innovative analysis indicate that Taiwan’s trade openness also affects carbon dioxide emission through the full mediation effect of economic growth at any distribution of carbon dioxide emission, and there is no direct effect from trade openness to carbon dioxide emission. This result indicates that trade openness only exists an indirect effect through economic growth in Taiwan. This finding supports Antweiler, Copeland and Taylor’s point of view [1].


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