An Empirical Research on Relationship between Economic Growth and New Energy Consumption in China

2014 ◽  
Vol 1073-1076 ◽  
pp. 2583-2586
Author(s):  
Yan Ren

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.

2013 ◽  
Vol 869-870 ◽  
pp. 377-380
Author(s):  
Meng Hui Liu ◽  
Kun Kun Xue

With the development of low-carbon economy, it is necessary to explore the relationship between energy consumption, carbon emissions and the economic growth correctly. In this paper, the VAR model was proposed with analyzing the relationship between the three factories through pulse response graph. Through the empirical investigation, the result shows: increasing energy consumption can promote economic growth, while the increasing consumption will also raise emissions of carbon. However, the emissions of carbon have negative effect on economic growth. Therefore, we must correctly handle the relationship between the three factories. Thus, it offers the best way to develop the economic in this paper is to develop the low carbon economy.


2012 ◽  
Vol 573-574 ◽  
pp. 831-835 ◽  
Author(s):  
Yu Wei He ◽  
Jin Rong Jiang

Low-carbon economy was an inevitable choice in response to climate warming. With the deep analysis of the environmental Kuznets curve (EKC), this paper used two models to analyze the relationship between the growth of a country’s economic and the quantity of pollutants produced in the process. The empirical study compare the two groups of samples, which described energy consumption per unit of industrial added value, each group contains five symbolic provinces or municipalities in coastal and western areas. The outcome proved the positive significance of technology innovation.


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.


Author(s):  
Badry Hechmy

Purpose The purpose of this paper is to examine the relationship between renewable energy consumption and economic growth in non-oil countries in the Middle East and North Africa (non-oil-MENA) during the period from 2000 to 2014. The Pedroni (2000) test shows that there is a long-term cointegration relationship between those variables; however, the Granger causality test in the vector error correction model (VECM) shows that this relationship is bidirectional in the short and long term. Thus, to ensure sustainable economic growth without pollution and to reduce dependence on abroad, renewable energies can be chosen as substitutes for conventional energies in the non-oil-MENA countries. Design/methodology/approach First, LLC and IPS unit root tests are used to test the variables stationarity; and, second, Pedroni panel cointegration and Engle–Granger causality by VECM analysis are used to check the relationship between the studied variables. Findings Empirical results show that the renewable energy consumption and economic growth are cointegrated and that there are two-way causal relationships between them in the long and in the short term. These countries must therefore encourage the consumption of renewable energy instead of traditional energy to reduce their dependence on energy from abroad and CO2 pollution. Originality/value The originality of this work lies in the measurements of the study variables and the empirical investigation methods used.


2014 ◽  
Vol 694 ◽  
pp. 542-546
Author(s):  
Xiao Wei Yang

This paper uses co-integration theories and Granger causality test method to analyze the inter-linkages among China's economic growth, export and energy consumption within a unified analytical framework. The results show that there exists a long-term equilibrium relationship between economic growth, exports and energy consumption, and economic growth and exports both promote energy consumption in the long term. Furthermore, there exist bi-directional Granger causality between economic growth and energy consumption, export and energy consumption respectively.


2015 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Nomin-Erdene Chimeddorj

Currently, the global economic growth model is based on the input of resources, especially the input of energy. Throughout the energy structures all over the world, mostly coal, oil, natural gas and other high-carbon fossil fuels, and those high-carbon fossil fuels have become the main source of atmospheric carbon dioxide and other greenhouse gases. Economic growth and energy consumption, there should be causal relationship between economic growth and carbon dioxide emissions, the economic growth model can get rid of the fossil energy constraints, whereas carbon dioxide emissions can be disconnected from the economic growth, to cope with these problems facing the development of low-carbon economy in Mongolia. The research makes use of time-series model to test the causal relationship between economic growth and energy consumption, economic growth and carbon dioxide emissions as well as between energy consumption and carbon dioxide emissions.


2010 ◽  
Vol 113-116 ◽  
pp. 91-95
Author(s):  
Zhi Xue Yang

Controlling CO2 emissions without hindering economic development is a major challenge for China. Carbon barrier is a new trade barrier related with carbon trading, which will be a new tool of protectionism in foreign trade. This article expounds the relationship between international trade and economic growth by a standard trade model, analyzes the impact on trade and economic growth of carbon barrier by join a new variable in the model. We suggest that China should create a favorable international environment, draw up carbon trading policies and regulations, actively participate in international carbon trading, fight for pricing by boosting domestic carbon trading market, and take an active and effective adjustment of its industrial structure, increasing the share of service trade as well as other low-carbon forms and methods of trade to cope with the challenge.


2014 ◽  
Vol 522-524 ◽  
pp. 1767-1770
Author(s):  
Rong Fu ◽  
Ji Lian Hu ◽  
Ying Shu Quan

The papers research object is the relationship between urbanization rate and carbon emissions, analysis it using the theory of cointegration The result is shown, there is a long-term equilibrium relationship between urbanization rate and carbon emissions in Chongqing, carbon emissions is 2.36 times the increase of urbanization rate. Therefore, the view that high urbanization level is an important sign to weigh industrialization and modernization level of one city and one region is not appropriate.


Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 332
Author(s):  
Janusz Grabara ◽  
Arsen Tleppayev ◽  
Malika Dabylova ◽  
Leonardus W. W. Mihardjo ◽  
Zdzisława Dacko-Pikiewicz

In this contemporary era, environmental problems spread at different levels in all countries of the world. Economic growth does not just depend on prioritizing the environment or improving the environmental situation. If the foreign direct investment is directed to the polluting industries, they will increase pollution and damage the environment. The purpose of the study is to consider the relationship between foreign direct investment in Kazakhstan and Uzbekistan and economic growth and renewable energy consumption. The study is based on data obtained from 1992 to 2018. The results show that there is a two-way link between foreign direct investment and renewable energy consumption in the considered two countries. The Granger causality test approach is applied to explore the causal relationship between the variables. The Johansen co-integration test approach is also employed to test for a relationship. The empirical results verify the existence of co-integration between the series. The main factors influencing renewable energy are economic growth and electricity consumption. To reduce dependence on fuel-based energy sources, Kazakhstan and Uzbekistan need to attract energy to renewable energy sources and implement energy efficiency based on rapid progress. This is because renewable energy sources play the role of an engine that stimulates the production process in the economy for all countries.


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