经济增长与能源强度：基于面板平滑转换回归模型的实证分析

Abstract

Abstract: By using the panel data of nine countries over the period of 1960-2009, this article studied the relationship between the economic growth and energy intensity is studied based on the panel smooth transfer regression (PSTR) model. Empirical results, on one hand, not only effectively verify the inverted U-shaped relationship between economic growth and energy intensity, but also show the linear effect plays a dominant role in improving the energy intensity at different levels of economic growth, and in various stages of economic development, there is a continuous smooth transfer regime between economic growth and energy intensity that influences the economic variables transfer from one regime to another regime bounded by the threshold. On the other hand, at present, China's economic growth and energy intensity is in the up-moving period of the inverted U-shaped, and when the GDP per capita reaches $ 13208.48, the value of China's energy intensity will be at a turning point.

Key words: economic growth, energy intensity, panel smooth transfer regression

CLC Number:

F206

ZHAO Xin-gang, LIU Ping-kuo. Economic Growth and Energy Intensity：An Empirical Research Based on Panel Smooth Transition Regression Model[J]. Chinese Journal of Management Science, 2014, 22(6): 103-113.

References

[1] Anadon L D, Holgren J P. Policy for energy technology innovation[C].Proceeding of Acting in Time on Energy Policy Conference,Massachusetts,September 18-19,2008.

[2] Ang B W. Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index [J]. Energy Policy,2006,34(5):574-582.

[3] Garcia-Cerrutti L M. Estimating elasticities of residential energy demand from panel county using dynamic random variables models with heteroskedastic and correlated terms [J]. Resource and Energy Economics,2000,22:355-366.

[4] Medlock K B, Soligo R. Economic development and end-use energy demand [J]. The Energy Journal, 2001,22(2):77-105.

[5] Schfer A. Structural change in energy use [J]. Energy Policy,2005,33(4):429-437.

[6] Shrestha R M. Estimation of international output-energy relation: Effects of alternative output measures [J]. Energy Economics,2000,22(3):297-308.

[7] Toman M A,Jemelkova B. Energy and economic development: An assessment of the state of knowledge [J]. Energy Journal,2003,24(4):93-112.

[8] Destais G, Fouquau J. Hurlin C. Economic development and energy intensity: A panel data analysis [J]. The Econometrics of Energy System,2007,5:125-147.

[9] Soytas U, Sarir R, Ewing B T. Energy consumption,income, and carbon emissions in the United States [J]. Ecological Economics,2007,62(3):482-489.

[10] Fatai K, Oxley L, Scrimgeour F G. Modeling the causal relationship between energy consumption and GDP in New Zealand, Australia, India, Indonesia, Philippines and Thailand [J]. Mathematics and Computers in Simulation,2004,64(3):431-445.

[11] Bowen B H, Myers J A, Nixha A. Kosova's household energy efficiency and fuel supplies [J]. International Journal of Energy Sector Management,2011,5(4):545-563.

[12] Arbex M, Perobelli F S. Solow meets Leontief: Economic growth and energy consumption [J]. Energy Economics,2010,32(1):43-53.

[13] Rafiq S, Salim R. The linkage between energy consumption and income in six emerging economies of Asia: An empirical analysis [J]. International Journal of Emerging Markets,2011,6(1)50-73.

[14] Lise W, Van Montfort K. Energy consumption and GDP in Turkey: Is there a co‐integration relationship? [J]. Energy Economics,2007,29(6):1166-1178.

[15] Narayan P K, Smyth R. Energy consumption and real GDP in G7 countries: New evidence from panel cointegration with structural breaks [J]. Energy Economics,2008,30(5):2331-2341.

[16] 周勇,李廉水. 基于AWD的我国能源强度变化因素分析[J]. 煤炭经济研究,2006,5:39-43.

[17] 张建文,刘学之,巩奎永. 北京市能源强度影响因素的分析[J]. 北京化工大学学报,2010,1:25-28.

[18] 张明. 中国能源消耗和能源强度变化趋势分析[J]. 山东工商学院学报,2010,24(3):1-6.

[19] 魏巍贤,王锋. 能源强度收敛:对发达国家与发展中国家的检验[J]. 中国人口·资源与环境,2010,20(1):4-10.

[20] 齐绍洲,罗威. 中国地区经济增长与能源消费强度差异分析[J]. 经济研究,2007,7:74-81.

[21] 刘长生,郭小东,简玉峰. 能源消费对中国经济增长的影响研究——基于线性与非线性回归方法的比较分析[J]. 产业经济研究,2009,1(38):1-9.

[22] 曾胜,黄登仕. 中国能源消费、经济增长与能源效率——基于1980-2007年的实证分析[J]. 数量经济技术经济研究,2009,8:17-28.

[23] 李国璋,霍宗杰. 中国能源消费、能源消费结构与经济增长——基于ARDL模型的实证研究[J]. 当代经济科学,2010,32(3):55-60,125-126.

[24] 牛叔文,丁永霞,李怡欣,等. 能源消耗、经济增长和碳排放之间的关联分析——基于亚太八国面板数据的实证研究[J]. 中国软科学,2010,5:12-19(80).

Economic Growth and Energy Intensity：An Empirical Research Based on Panel Smooth Transition Regression Model

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 10

[1]	CANG Ding-bang, WEI Xiao-ping, CAO Ming, TAN Li-yun. Study on Two-phase Economic Growth Path Based on Pollution Control and Energy Substitution [J]. Chinese Journal of Management Science, 2020, 28(9): 146-153.
[2]	XU Xiao-liang, XU Xue-fen. The Impacts of China's Energy Subsidies on Resource Efficiency and Environmental Pollution Control [J]. Chinese Journal of Management Science, 2020, 28(5): 221-230.
[3]	WANG Sheng-quan, CHEN Lang-nan, LIU Ren-hao. Asset Bubbles, Technological Innovation and Economic Growth [J]. Chinese Journal of Management Science, 2020, 28(10): 1-12.
[4]	LIU Xiao-jun, JIANG Wei, HU Jing-song. A Study on Confidence, Monetary Policy and China's Economic Fluctuation Based on TVP-VAR Model [J]. Chinese Journal of Management Science, 2019, 27(8): 37-46.
[5]	JI Jian-yue, ZHANG Yi, REN Wen-han. Research on the Relationship between Environmental Regulation Intensity and China's Economic Growth Rate——based on Physical Capital and Human Capital Perspective [J]. Chinese Journal of Management Science, 2019, 27(8): 57-65.
[6]	PAN Wei, XIONG Jian-wu. An Empirical Study on Electricity Consumption, Economic Growth and CO₂ Emission-Panel Data of China [J]. Chinese Journal of Management Science, 2018, 26(3): 152-159.
[7]	LI Gen, LIU Jia-guo, WANG Xiao-min. Research on Influencing Factors of Complete Energy Intensity of Manufacturing Industry based on Input-Output Methodology and SVAR Model [J]. Chinese Journal of Management Science, 2018, 26(12): 99-112.
[8]	LI Ling, ZHANG Jun-rong, TANG Ling, YU Le-an. Analysis on Factors of China's Energy Intensity Changes for 1997-2012:Based on Structural Decomposition Analysis [J]. Chinese Journal of Management Science, 2017, 25(9): 125-132.
[9]	LI Ai-hua, SU Jie, JIA Chuan-liang. The Coordinated Development and Consistent Model Between Economic Growth and Carbon Emissions [J]. Chinese Journal of Management Science, 2017, 25(4): 1-6.
[10]	LI Gen, LIU Jia-guo, ZHAO Jin-lou. Scenario Analysis of Complete Energy Intensity of Manufacturing Industry in China Based on Input and Output and Non-linear Optimization [J]. Chinese Journal of Management Science, 2016, 24(3): 31-40.
[11]	QU Wei-hua, YAN Zhi-jun. The Influence of Environmental Pollution, Economic Growth and Healthcare Services to Public Health Based on China's Provincial Panel Data [J]. Chinese Journal of Management Science, 2015, 23(7): 166-176.
[12]	LI Miao-miao, XIAO Hong-jun, ZHAO Shuang. Studyon the Relationship among the Financial Development, Technological Innovation and Economic Growth Based on China's Provincial Panel Data [J]. Chinese Journal of Management Science, 2015, 23(2): 162-169.
[13]	CAI Sheng-hua, DU Li-min, BI Qing-hua. Improvement Target of Energy Efficiency and Its Design [J]. Chinese Journal of Management Science, 2012, (3): 152-160.
[14]	LU Jing. Theoretical and Empirical Study on the Relationship between Financial Development and Economic Growth——Cointegration Analysis on Provincial Panel Data of China [J]. Chinese Journal of Management Science, 2012, (1): 177-184.
[15]	WU Zhen-xin, XUE Bing, WANG Shu-ping. The Impact of Oil Price Volatility on China’s Economy Based on VAR Model [J]. Chinese Journal of Management Science, 2011, 19(1): 21-28.