scholarly journals Threshold Effects of New Energy Consumption Transformation on Economic Growth

2018 ◽  
Vol 10 (11) ◽  
pp. 4124 ◽  
Author(s):  
Fangming Xie ◽  
Chuanzhe Liu ◽  
Huiying Chen ◽  
Ning Wang

This study uses data from seven countries with high energy consumption levels in 1997–2016 (i.e., the US, China, Japan, Canada, South Korea, Germany, and France) to establish a panel threshold model and analyze the multiple threshold effects of new energy consumption transformation on economic growth. Research results show the non-linear impact of new energy consumption transformation on economic growth. On the one hand, the transformation of new energy consumption will occasionally bring economic costs, thereby resulting in a negative impact on economic growth. On the other hand, economic cost occasionally disappears, thereby resulting in the positive impact of the transformation of new energy consumption on economic growth. This study proposes that economic cost is affected by the levels of research and development (R&D), economic development, and traditional energy dependence, therefore, we use these three variables as threshold variables. Threshold variable is essential in a panel threshold model. The behavioral varies of model can be predicted when threshold variable is at different ranges of levels. In other words, the behavior of panel threshold model may change as the level of threshold variable changes. In particular, when the R&D level is used as a threshold variable, the impact of new energy consumption transformation on economic growth will change from negative to positive as the level of R&D increases. We present a similar conclusion when the level of economic development is used as a threshold variable. However, when the level of traditional energy dependence is used as the threshold variable, the impact of new energy consumption transformation on economic growth will change from positive to negative as the level of traditional energy dependence increases.

2021 ◽  
Vol 13 (22) ◽  
pp. 12444
Author(s):  
Qusai Mohammad Qasim Alabed ◽  
Fathin Faizah Said ◽  
Zulkefly Abdul Karim ◽  
Mohd Azlan Shah Zaidi ◽  
Mohammed Daher Alshammary

This study provides new evidence regarding the nonlinear relationship between energy consumption and economic growth in the Middle East and North Africa (MENA) region for the 1990–2014 period. The empirical estimation is conducted using a dynamic panel threshold model. We found one threshold in the relationship between energy consumption and economic growth and one threshold in the relationship between carbon dioxide (CO2) emissions and economic growth. The results indicate that energy consumption positively and significantly affects economic growth in the low energy consumption regime. In contrast, it has a negative and significant impact on economic growth in the high energy consumption regime. Moreover, CO2 emissions are positively and significantly related to economic growth in the low regime of CO2 emissions. Nevertheless, the relationship between CO2 emissions and economic growth in the high CO2 emissions regime is negative and significant. Therefore, policymakers should implement other effective energy policies, such as stricter regulations on CO2 emissions, increase energy efficiency, and replace fossil fuels with cleaner energy sources to avoid unnecessary CO2 emissions and combat global warming. Future studies should identify the root causes of failures and issues in real time for inflation and link the energy–growth nexus to achieving the 2030 Sustainable Development Goals (SDGs) Agenda, Goal 7: Affordable and Clean Energy.


Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 229
Author(s):  
Dongri Han ◽  
Tuochen Li ◽  
Shaosong Feng ◽  
Ziyi Shi

The trade-off between economic growth and ecological improvement has always become an important and difficult issue for many countries, especially for developing countries. Due to a long-term extensive economic growth pattern, the regional resource allocation deviates from the optimal, especially the existence of energy misallocation, which hinders the maximization of economic output. Therefore, considering the characteristics and heterogeneity of resource endowments in different regions and increasing renewable energy consumption, that is, promoting energy transition, is it capable of sustainable development under China’s actual conditions? The exploration of the issue is a core step in the research of the impact of renewable energy on industrial green transformation. Based on the panel data of 30 regions in China from 2009 to 2016, this paper constructs a threshold model from the perspective of regional energy misallocation and empirically tests the nonlinear mechanism of renewable energy consumption to promote industrial green transformation. The results show that China’s energy allocation efficiency is low, there is a certain misallocation phenomenon, and the improvement effect in recent years is not satisfactory. Further, the relationship between renewable energy consumption and industrial green transformation is not a simple linear relationship, but a double threshold effect due to regional energy misallocation. In areas with severe energy misallocation, renewable energy consumption does not have a significant boost to industrial green transformation. Finally, this paper proposes the policy enlightenment of promoting industrial green transformation from the aspects of performance evaluation, market reform, and factor flow.


2013 ◽  
Vol 869-870 ◽  
pp. 914-918
Author(s):  
Chang Lu Zhang ◽  
Zhang Lu Tan

With peoples growing awareness of green economy, low-carbon economic development has been increasingly demanded. The relationship of energy consumption structure and economic growth can be an important indicator for an economic entitys ecological economy process. With the implementation of the Shandong peninsula blue economic zone in 2011, Shandong Province has been developing rapidly in recent years. Taking Shandong economic entity as the research object, the paper analyses the correlation between the economic development and different kinds of energy consumption, including coal, oil, electricity and new energy, with the grey correlation model using the data from 2000 to 2009 that representing the economic development and energy consumption. The result of the study shows that new energy consumption has the great correlation with economic development indicating that Shandong emphasizes on the development and utilization of new energy to reduce the excessive consumption of non-renewable energy in its economic growth.


2019 ◽  
Vol 12 (4) ◽  
pp. 153
Author(s):  
Xuenan Ju ◽  
Baowen Sun ◽  
Jieying Jin

In recent years, in order to improve Beijing's air quality and reduce vehicle emissions, the Beijing Municipal Government promotes the popularization of new energy vehicles through purchase subsidies, plate lottery, and driving restriction policy. However, the increase in the number of new energy vehicles and the increase in the number of vehicles travelling on roads have intensified the traffic pressure in Beijing. Traffic congestion has increased the emissions of motor vehicle exhaust in turn, resulting in higher socio-economic costs. Based on the actual data of Beijing, this paper quantitatively analyzes the economic cost of new energy vehicle policies by discussing the impact of current new energy vehicle policies on time, energy consumption and tail gas cost. Empirical results show that during the implementation period of the new energy vehicle policy, time cost and tail gas cost increase, energy consumption cost decreases, and the overall economic cost of the policy implementation period increases from 50 million yuan to 321 million yuan.


2014 ◽  
Vol 1010-1012 ◽  
pp. 1976-1979
Author(s):  
Li Jiang

With the increasingly development of economy in China, economic growth and efficient use of energy is a hot topic in recent years, also China is under pressure of carbon emissions reductions during the process of economic development. This paper try to do a research to find weather the structure of energy consumption and economic growth exist long-term dynamic equilibrium relationship. Based on VAR model, though Granger causality test, impulse response and variance decomposition, combined with China's development of low-carbon economy, in the years between1978 to 2012 , four results has been showed: First, China's economic growth and energy consumption exist a stable long-run equilibrium relationship. Second, at the 1% level, there is a two-way Granger causality coal consumption and economic growth. Third, in lag 4, the energy consumption is produced positive effects on economic growth and the impact of coal consumption has maximum affect. Forth, the development and utilization of renewable energy is an effective way to solve China's economic development and energy constraints contradictory.


Author(s):  
Xiaowen Qiu

The carrying capacity of China’s resources and environment has reached a limit. The economic development of different regions has been forced to abandon the original economic development mode manifesting high pollution, high energy consumption, and high emission and to step forward to the new economic development model promoting low energy consumption, low emission, and low pollution. Environmental issues are typical manifestations of market mechanism failure. Government investment in environmental protection, which effectively improves environmental quality, is necessary to achieve sustainable economic development. An index system of the influencing factors that affect regional environmental pollutant emissions was established first in this study to measure accurately the relationship between environmental protection investment in different provinces in China and regional environmental pollution. System GMM (Generalized Method of Moment) method was used to analyze the impact of environmental protection investment on pollutant emissions in 30 provinces in China from 2007 to 2016. Results show that the system GMM method can effectively solve variable endogeneity. Environmental protection investment of explanatory variables has a significant negative effect on pollutant emissions. Among the control variables, per capita GDP (Gross Domestic Product), industrial structure, resident consumption level, and technology market turnover have a significant inhibitory effect on pollutant emissions. Among the control variables, investment in fixed assets and import and export trade is vital in promoting pollutant emission growth. Conclusions provide a reference for improving the governance level of environmental protection investment in China’s provinces, controlling environmental pollution and ecological damage, and realizing a green economic development method.


The demand for energy consumption requires efficient financial development in terms of bank credit. Therefore, this study examines the nexus between Financial Development, Economic Growth, Energy Prices and Energy Consumption in India, utilizing Vector Error Correction Model (VECM) technique to determine the nature of short and long term relationships from 2010 to 2019. The estimation of results indicates that a one percent increase in bank credits to private sector results in 0.10 percent increase in energy consumption and 0.28 percent increase in energy consumption responses to 1 percent increase in economic growth. It is also observed that the impact of energy price proxied by consumer price index is statistically significant with a negative sign indicating the consistency with the theory.


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.


Sign in / Sign up

Export Citation Format

Share Document