Biomass energy consumption and economic growth: insights from BRICS and developed countries

Author(s):  
Ngo Thai Hung
Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4199
Author(s):  
Jinjin Zhou ◽  
Zenglin Ma ◽  
Taoyuan Wei ◽  
Chang Li

Based on threshold regression models, this paper analyzes the effect of economic growth on energy intensity by using panel data from 21 developed countries from 1996 to 2015. Results show that a 1% increase in GDP per capita can lead to a 0.62–0.78% reduction in energy intensity, implying economic growth can significantly reduce energy intensity. The extent of the reduction in energy intensity varies depending on the economic development stages represented by key influencing factors including energy mix in consumption, urbanization, industrial structure, and technological progress. Specifically, the reduction in energy intensity due to economic growth can be enhanced with relatively more renewable energy consumption and more urban population until a threshold point, where the enhancement disappears. On the other hand, the extent of the energy intensity reduction due to economic growth can be weakened with relatively more tertiary industry activities and more research and development (R&D) investment in an economy until a threshold point, where the weakening cannot continue. However, compared to the early stages represented by the low ends of renewable energy consumption, urban population, tertiary industry activities, and R&D investment, the later stages represented by the high ends of these key factors after a threshold show the weakened effect of economic growth on the decline of energy intensity. Hence, when an economy is well-developed, policy makers are advised to put fewer expectations on the role of economic growth to reduce energy intensity, while pursuing relatively cleaner energy, greater urbanization, more tertiary industry activities, and advanced technologies.


2011 ◽  
Vol 347-353 ◽  
pp. 197-200
Author(s):  
Jie Shang ◽  
Ling Ling Wang

China has the abundant agro-residue resources, producing about 20% of total energy consumption in rural areas. Improving the ability of technology innovation is crucial for providing efficient utilization of bioenergy. In order to evaluate the ability of technological innovation of biomass energy industry, this thesis constructed index system, organizing data using SPASS and uses coefficient of variation to analyze the gap between China and other developed countries. The results show that the ability of China's biomass energy industry has great potential for technological innovation.


2017 ◽  
Vol 1 (2) ◽  
pp. 71 ◽  
Author(s):  
Hasan Dinçer ◽  
Serhat Yüksel ◽  
Zafer Adalı

The main purpose of this study is to evaluate the causality relationship between energy consumption and economic growth for developed countries. Within this context, annual data of 22 developed countries was examined by using Dumitrescu Hurlin panel causality analysis. As a result, it was determined that that there is a bidirectional relationship between energy consumption and economic improvement for developed countries. This condition provides two different results. Firstly, energy consumption has an influence on economic development for these countries. While considering this result, it can be said that any limitation in energy consumption will restrict economic growth. Moreover, it was also concluded that level of economic growth is the main reason of energy consumption for developed countries. In other words, developed countries tend to have more energy consumption when their economies are growing.


Author(s):  
Areej Aftab Siddiqui ◽  
Silky Vigg Kushwah

The article aims to develop an integrated relationship between carbon emissions, energy consumption, economic growth and trade for the top ten trading countries in the world for a period of nineteen years, 2000–2018. The results of panel data indicate a significant relationship between carbon emissions, energy consumption, economic growth and trade both in the short and long run. It is seen that a bidirectional causality between carbon emissions, trade and growth is present. Empirical results of the analysis in this article indicate that an increase in carbon emissions leads to an increase in the economic growth rate. The article also finds a positive relationship between carbon emissions and energy consumption. The findings also show that the emerging and newly industrialized countries place more emphasis on enhancing their trade positions, while developed countries tend to focus more on the overall economic growth than on trade. A major limitation of the study is that the data for energy consumption and carbon emissions is for the economy as a whole and not only for manufacturing. An incentive structure for reducing carbon emissions for the selected countries can be adopted along with the focus on adopting clean energy. The article’s findings add to the existing literature as comparatively few studies have been conducted with trade as an indicator and at the cross-country level for determining the empirical relationship between energy consumption, carbon emissions, growth and trade.


2011 ◽  
Vol 361-363 ◽  
pp. 1897-1900
Author(s):  
Jin Ying Li ◽  
Chun Lian Zhang ◽  
Jun Li Tian

With the globalization of the economy, energy constraints for economic development have become increasingly apparent. Low-carbon economy has become a necessity. China is a big country of energy consumption, the development of low carbon economy has a long way to go. Low carbon economy will be the opportunity of sustainable development,but also the core of enterprises and the national competitiveness in future. China needs to develop appropriate measures,such as learning the experience of a low carbon economy from the United Kingdom and other developed countries, introducing foreign advanced technology, strengthening independent R&D, improving efficiency of energy conversion,further implementing energy conservation based on international standards to achieve a low carbon economy.In this paper, we established a cointegration and error correction model of 1978-2009 China's economic growth and a regression model between energy consumption and industrial structure.Based on the two models,we analyzed the relationship between Chinese economy and the energy consumption.


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