Empirical research on the relationship between natural gas consumption and economic growth in the Northeast Asia

Abstract

The Northeast Asia, as one of the most rapidly development regions, has a large amount of energy consumption. Therefore, it is very significant to study the relationship between natural gas consumption and economic growth in the Northeast Asia. This paper builds Panel Data Model to study the relationship between natural gas consumption and economic growth in China, Japan, and Korea from 1991 to 2015, on the basis of analyzing the impact mechanism that natural gas has on economic growth. This paper finds that the Japan’s elasticity coefficient of natural gas consumption is the highest, whereas Korea’s is the lowest, and China’s is in the middle of these two countries, because of countries’ different development level and energy consumption mode. Moreover, the results of Granger causality relationship test show that there is only one-way Granger causality relationship between natural gas consumption and economic growth of China, but no causal relationship is found for Japan and Korea.

Keywords

Economic growth natural gas consumption panel data

Get full access to this article

View all access options for this article.

References

Lee

C-C

and Chang

C-P.

Energy consumption and GDP in developing countries: a cointegrated panel analysis. Energy Econ 2005; 27: 415–427.

Bartleet

and Gounder

Energy consumption and economic growth in New Zealand: results of trivariate and multivariate models. Energy Policy 2010; 38: 3508–3517.

Bildirici

and Bakirtas

The relationship among oil, natural gas and coal consumption and economic growth in BRICTS (Brazil, Russian, India, China, Turkey and South Africa) countries. Energy 2014; 65: 134–144.

Wang

and Sheng

The study on the relationship between economic growth and energy consumption of China – based on the panel data empirical test of China’s thirty provinces and cities. Stat Decis 2008; 125–128.

Lin

and Pingbao

Economic growth and energy consumption in the central and western regions of China – based on the panel data cointegration test of six provinces in the central regions. Econ Survey 2009; 69–72.

Xuna

and Chuanbo

The empirical test on the relationship between regional economic growth and energy consumption – based on the panel data of China’s eight economic regions. Stat Decis 2010; 113–115.

Muqiang

Energy consumption, economic growth and carbon emission of ASEAN five countries-based on Environmental Kuznets Curve empirical test. Innovation 2012; 82–86.

Xie

and Wu

The study on the relationship between economic growth and energy consumption of Jiangsu, Zhejiang and Shanghai – based on Bootstrap panel causality teat and empirical analysis of VAR model. J Jiangxi Normal Univ (Nat Sci) 2013; 31: 61–67.

Apergis

and Payne

JE.

Natural gas consumption and economic growth: a panel investigation of 67 countries. Appl Energy 2010; 87: 2759–2763.

10.

Jie

The enlightenment for China from the study on the relationship between natural gas consumption and economic growth of America. Special Zone Econ 2012; 127–130.

11.

The study on dynamic equilibrium and causality relationship between natural gas consumption and economic growth. Cuide Business 2013; 108–111.

12.

Yang

A-M

Han

S-S

et al . Synthesis and comparison of photocatalytic properties for Bi2WO6 nanofibers and hierarchical microspheres. J Alloy Compd 2017; 695: 915–921.

13.

Liu

China’s plans and policies for reducing CO₂ emission from biomass-fired power plants: modeling and economic study. Energy Sources Part B Econ Plan Policy 2017; 12: 1001–1006.

14.

Liu

China’s strategy for the development of renewable energies. Energy Sources Part B Econ Plan Policy 2017; 12: 971–975.

15.

Levin

Lin

and Chu

CSJ.

Unit root tests in panel data: asymptotic and finite-sample properties. J Econometr 2002; 108: 1–24.

16.

Pesaran

Shin

et al . Testing for unit roots in heterogeneous panel. J Econometr 2003; 115: 53–74.

17.

Maddala

and Wu

A comparative study of unit root tests with panel data and a new simple test. Oxford Bull Econ Stats 1999; 61: 631–652.

18.

Choi

Unit root tests for panel data. J Int Money Fin 2001; 20: 249–272.

19.

Yang

Han

Pan

et al . Optimum surface roughness prediction for titanium alloy by adopting response surface methodology. Results Phys 2017; 7: 1046–1050.

20.

Pedroni

Critical value for cointegration tests in heterogeneous panels with Multiple Regressors. Oxford Bull Econ Stats 1999; 61: 653–678.

21.

and Liu

Research on the phenomenon of Chinese residents’ spiritual contagion for the reuse of recycled water based on SC-IAT. Water 2017; 9: 846.

22.

Kao

Spurious regression and residual-based on tests for cointegration panel data. J Econometr 1999; 90: 1–44.

23.

Johansen

Identifying restrictions of linear equations with applications to simultaneous equations and cointegration. J Econometr 1995; 69: 111–132.

24.

Uddin

Sjo

and Shahbaz

The casual nexus between financial development and economic growth in Kenya. Econ Model 2013; 35: 701–707.

25.

Linbo

and Huayun

Performance of financial expenditure in China’s basic science and math education: panel data analysis based on CCR model and BBC model. EURASIA J Math Sci Technol Educ 2017; 13: 5217–5224.

Supplementary Material

Please find the following supplemental material available below.

For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.

For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.

0.00 MB

0.13 MB