The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach

This article took the lead to study the relationship between new energy consumption, traditional energy consumption and economic growth in China from 1990 to 2012, employed methods of regressive model and Granger causality estimation. Econometric software—Eviews 6.0 was used during the calculation process. The empirical study showed that both new energy consumption and traditional energy consumption could promote economic growth in China. However the influences of new energy consumption and traditional energy consumption on Chinese economic growth have the asymmetry. The effect of new energy consumption on economic growth was lower than that of traditional energy consumption. In the short term, new energy consumption was the Granger causality of economic growth in China. However economic growth was also the Granger causality of new energy consumption in the long term. Therefore, in order to achieve sustainable development and low carbon economy in China, it is imperative to make new energy sources play a more important role in economic growth and replace traditional energy sources gradually.

With the high-speed development of economy, China has a growing demand for energy with each passing day. As problems of rising oil prices and global warming become more prominent, China as the world’s second-biggest energy consumer, has to deal with the relationship between energy consumption and economic growth. The purpose of this study is to employ generalized method of moments to estimate the panel data model and investigates the causality relationship between economic growth and energy consumption in China considering differences among provinces. It employs annual data covering the period of 1994-2008. The empirical results show that there exists bidirectional causality between energy consumption and economic growth.

On the nexus of financial development, economic growth, and energy consumption in China: New perspective from a GMM panel VAR approach

Decomposing the decoupling relationship between energy consumption and economic growth in China's agricultural sector

The past four decades have witnessed rapid growth in the rate of energy consumption in China. A great deal of energy consumption has led to two major issues. One is energy shortages and the other is environmental pollution caused by fossil fuel combustion. Since energy saving plays a substantial role in addressing both issues, it is of vital importance to study the intrinsic characteristics of energy consumption and its relationship with economic growth. The topic of the nexus between energy consumption and economic growth has been hotly debated for years. However, conflicting conclusions have been drawn. In this paper, we provide a novel insight into the characteristics of the growth rate of energy consumption in China from a multi-timescale perspective by means of adaptive time-frequency data analysis; namely, the ensemble empirical mode decomposition method, which is suitable for the analysis of non-linear time series. Decomposition led to four intrinsic mode function (IMF) components and a trend component with different periods. Then, we repeated the same procedure for the growth rate of China’s GDP and obtained four similar IMF components and a trend component. In the second stage, we performed the Granger causality test. The results demonstrated that, in the short run, there was a bidirectional causality relationship between economic growth and energy consumption, and in the long run a unidirectional relationship running from economic growth to energy consumption.

A study of the impact of military expenditures on economic growth and development examines the differences in the results of previous studies which led to contradictory conclusions. The authors find that these differences are due to sample variations, specificational choices, and the different time periods examined. The data indicate that there is no consistent, statistically significant connection between military spending and economic growth. Augmentation of the models suggests that military expenditures neither help nor hurt economic growth to any significant extent. 2 tables.

Analysis of regional difference decomposition of changes in energy consumption in China during 1995–2015

In recent years, China's economic development has attracted worldwide attention, but economic growth has been at the expense of the excessive consumption of energy.Per unit of GDP's energy consumption in China is not only much higher than the United States, Japan and other developed countries that are far higher than the world average.On basis of simple analysis on the cause of excessive energy consumption in our country, this paper uses the econometrics method to study the various factors in the economic growth and how they affect the level of the energy consumption.Finally, this paper puts forward the proposal of optimize the industrial structure in our country, as well as development of new energy and so on.Only in this way can we at the same time in the guarantee of our country's economic growth and reduce energy consumption, which improve the effect of energy efficiency achieved particularly remarkable.

(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONThe relationship between energy consumption, foreign direct investment as well as energy consumption and economic growth has been the subject of considerable academic research over the past few decades (Omri and Kahouli, 2014). Several studies have focused on different countries, time periods, modeling techniques and different proxy variables which have been used to determine the links between FDI inflows, energy consumption and economic growth. Roughly, we can categorize past studies into three lines of research.The first line focuses on the relationship between energy consumption and economic growth. The relationship between energy consumption and economic growth has become a hot topic in environmental science and energy economics (Kraft and Kraft, 1978). A large volume of empirical research from the last two decades has found that economic growth and energy consumption may be jointly determined (e.g. Omri, 2013; Ahmed and Azam, 2016). Most of the empirical results indicated that higher economic growth requires more energy consumption (see, inter alia, Glasure, 2002; Ghali and El-Sakka, 2004; Akinlo, 2008; Apergis and Payne, 2009; Omri, 2013; Achour and Belloumi, 2016). They also indicated that economic growth can indeed cause increases in energy consumption. Moreover, more efficient energy use needs a higher level of economic growth (e.g. Chan and Lee, 1996; Aqeel and Butt, 2001; Wei, 2002; Halicioglu, 2007; Chang et al., 2009; Shabbir et al., 2014; Saidi and Hammami, 2015; Jammaz and Aloui, 2015; Komal and Abbas, 2015; Iyke, 2016).The second line of research investigated the correlation between the FDI inflows and economic growth has been subject to rigorous research for years. According to the FDI-led growth hypothesis, FDI inflows can stimulate growth for the host countries by increasing the capital stock, creating new job opportunities, and easing the transfer of technology (see, inter alia, Borensztein et al., 1998; De Gregorio, 2003; De Mello, 1997; Ekanayake et al., 2003; Tsang and Yip, 2007; Omri and Kahouli, 2013; Abbes et al., 2015; Abdouli and Hammami, 2015). In turn, higher economic growth creates new investment opportunities in the host country and can also cause larger inflows of FDI (e.g. Tsai, 1994; Rodrik, 1999; Kim and Seo, 2003; Mah, 2010; Anwar and Sun, 2011; Omri and Kahouli, 2014; Omri et al., 2015).The third line of research examined the link between foreign direct investment and energy consumption. Several studies have found that the FDI inflows induce energy consumption through the expansion of industrialization, transportation and manufacturing sector development while energy consumption is required to support the manufacturing process (e.g. Mielnik and Goldemberg, 2000; Mielnik and Goldemberg, 2000; Tang, 2009; Sadorsky, 2010; Bekhet and Othman, 2011; Omri and kahouli, 2014; Doytch and Narayan, 2016).The main objective of this paper is to investigate the relationship between FDI inflows, energy consumption, and economic growth for a panel of 17 MENA countries over the 1990-2012 period. We used the simultaneous equation model based on structural modeling to produce new evidence on the links between FDI inflows, energy consumption and economic growth. The introduction of the function of Cobb-Douglas production framework helped us to explore the causal relationships between the fallowing variables: FDI inflows, energy consumption, and economic growth in a growth framework.The contribution of this paper to the existing literature is expressed by giving the first integrated approach to examine the three-way linkages between FDI inflows, energy consumption and economic growth in the MENA region. Particularly, this paper uses three structural equation models, which allow us ne to simultaneously examine the impact of (i) economic growth and energy consumption on FDI inflows (ii) economic growth and FDI inflows on energy consumption (iii) energy consumption and FDI inflows on economic growth. …

Defense, Economic Growth and Energy Consumption in China

This paper investigates the causal relationship between energy consumption and economic growth for Algeria, Egypt, Iran, Jordan, Morocco, Saudi Arabia, Tunisia and United Arab Emirates from 1975 to 2011. To examine this relationship, we use approach of cointegration and Granger causality analysis. The cointegration test results show that there is no cointegration between the energy consumption and the economic growth in six of the eight countries. there is no a relationship between energy consumption and economic growth in Jordan; Saudi Arabia; Tunisia and United Arab Emirates. The granger causality indicate that one-way Granger causality from economic growth to energy consumption in Algeria and one-way strong Granger causalities from energy consumption to economic growth in Egypt; Morocco and Iran. The overall results indicate that there is no relationship between the energy consumption and the economic growth in most of the MENA countries.

Regarding the association between information and communication technology (ICT) and economic growth and energy consumption, particularly in developing economies, there is a great deal of controversy and a lack of empirical study. This study applies Quantile Autoregressive Distributed Lag Model (QARDL) approach to empirically probe into the effect of ICT on energy consumption and economic growth in China. Two corresponding models for energy consumption and economic growth are formulated and the data of all of the variables spanning over 1995-2021 period is taken from different secondary sources. The findings of the study reveal significant and positive impact of ICT on economic growth at all quantiles in the short and long run. Similarly ICT has significant and positive impact on energy consumption also at all quantiles. The Quantile Granger Causality test provides evidence for bidirectional causality between ICT and economic growth and ICT and energy consumption. Wald test proved the presence of and symmetric and linear association between ICT and economic growth and ICT and energy consumption at quantiles in the long and short run both. In the light of these findings, the study recommends the Chinese government and investors to have more investment in energy efficient ICT products that consume less energy and help increase in economic growth in China.

i88 China Review International: Vol. 5, No. 1, Spring 1998 Xiannuan Lin. China's Energy Strategy: Economic Structure, Technological Choices, and Energy Consumption. Westport, Connecticut: Praeger Publishers , 1996. xvii, 203 pp. Hardcover $65.00, isbn 0-275-95306-8. This book offers important insights into a fascinating feature of China's economic growth during the reform era—the declining energy intensity of the Chinese economy. The book crisply proceeds through summarizing the issue, propounding an input-output model of energy consumption, explaining the results produced by the model, and pursuing the model's insights in a case study of the iron and steel industry. As they grow, developing economies usually exhibit increasing energy intensity (the ratio of commercial energy consumption to GDP), a trend followed by China for thirty years after the founding of the People's Republic. The uniformity of this trend across China and other developing countries led outside observers reasonably to expect that growing energy and electric power shortages in China in the late 1970s would constrain economic growth. For example, the CIA (1980) predicted that electric power shortages would restrict China's economic growth to 3 percent per year in the first half of the 1980s.1 The Chinese economy dramatically disproved these predictions. From 1981 to 1987, the time period studied in this book, the Chinese economy grew about 10 percent per year. As the book stresses, this growth was not fueled by an equal growth of commercial energy consumption. Instead, the energy intensity of the Chinese economy "decreased by almost 22 percent" between 1981 and 1987 (p. 3). This unexpected decline has been the topic of much speculation and recent research . In the 1980s, the decline was often attributed to the shift in emphasis from heavy industry to light industry. In the 1990s various researchers have more carefully examined the available data to develop a more sophisticated understanding of this remarkable decline. This study adds to the research by decomposing the change in energy consumption, using China's 1981 and 1987 input-output tables. Input-output analysis provides a wealth of information about the interconnections between an economy's production and consumption sectors. As this book shows, much can be learned about energy consumption from looking at the changes in production technology and in the structure of final demand. Chapter 1 introduces the issue of falling energy intensity in the Chinese economy, explaining why this phenomenon warrants attention. Then it succinctly© 1998 by University states the research goals of the study and emphasizes their importance. This chapofHawai 'i Presster serves as a most accessible introduction to the topic for nonspecialists. Chapter 2, using tables and charts, describes energy consumption in China for 1981 and 1987 by production and consumption sector and by energy source. This gives the Reviews 189 reader a working knowledge ofthe data that the autiior's model explores in greater depth. Chapter 3, which presents the basic model of the book, may prove mildly frustrating to those readers who carefully try to follow the matrix algebra of the model.2 All readers can trust in the actual implementation ofthe model and should quickly grasp the basic technique: calculate the energy required to produce 1987 final demand using 1981 technology; then compare this to actual energy use in 1987. Using the 1981 and 1987 input-output tables, the key equation ofthe model (equation 8 on p. 49) shows that die change in energy use in China between 1981 and 1987 can be decomposed into a "final-demand shift" and a "production -technology change." The final-demand shift equals the extra energy required to produce 1987 intermediate output using 1981 technologyplus the increase from 1981 to 1987 in energy directiy used by final consumers. The production -technology change is the difference between intermediate energy used to produce 1981 final demand using 1987 technology and actual intermediate energy used to produce 1981 final demand using 1981 technology. The model elaborates on this basic idea, further decomposing the final demand shift and the production technology change by final demand sectors and by production sectors. Table 3.4 on page 54 concisely summarizes the elements ofthe model. Chapters 4 and 5 detail the findings yielded by...

Energy is one of the important factors affecting economic growth, the motive force of the economic development of countries in the world, essential for the world economic development and people’s living material resources, an important resource of the relationship between the national economies. The paper sums up the evaluation and literatures on energy consumption and economic growth at home and abroad, thinks “southern talk” as the energy consumption and economic growth in the time division, makes a series of empirical tests on the relationship between total energy consumption and economic growth in China from 1978 to 1991 and from 1992 to 2016.The results show that total energy consumption is a one-way causal relationship between economic growths in china, Economic growth has a strong dependence on energy, there is a co-integration relationship between energy consumption and economic growth. However, economic growth depends on the energy consumption decreased year by year in China, The way of economic growth is changing from the extensive economic growth mode to intensive mode of economic growth.

How to solve air pollution problerms in the process of economic development have arouse policy makers’ attention in China. This paper examines the long-term relationships between industrial gas emission, energy consumption and economic growth in China from 1983 to 2014. Results show that both economic growth and energy consumption have significant effect on industrial gas emission for a long period. Energy consumption is the Granger causality of industrial gas emission at the 5% significant level, but not vice versa. Economic growth is also the Granger causality of industrial air emissions, but not vice versa. In the long term, it is essential to decrease energy consumption in order to attain high air quality. Making energy policy should pay attention to improve efficiency, so as to keep balance between economic growth, energy consumption and environmental protection. When making energy and economy policies, the government need to consider the relationship between energy consumption, economic development and atmospheric protection so as to seek a balance between energy , economy and environment protection.