Analysis of road transportation energy consumption demand in China

Transportation Research Part D: Transport and Environment

Volumn 48, Issue , 2016, Pages 112-124

  Chai, Jian ^a,b,c   Lu, Quan Ying ^a   Wang, Shou Yang ^c   Lai, Kin Keung ^a,d  

^a SHAANXI NORMAL UNIVERSITY   (China)

^b XIDIAN UNIVERSITY   (China)

^c CHINESE ACADEMY OF SCIENCES   (China)

^d CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

ARIMA; BMA; ETS; Path analysis; Road transportation energy consumption; Trend analysis

Indexed keywords

ENERGY UTILIZATION; MOTOR TRANSPORTATION; REGRESSION ANALYSIS; ROADS AND STREETS;

ARIMA; DEVELOPED ECONOMIES; DEVELOPMENT CHARACTERISTICS; ENERGY TRANSPORTATION; MULTIPLE REGRESSIONS; PATH ANALYSIS; ROAD TRANSPORTATION; TREND ANALYSIS;

TRANSPORTATION;

ENERGY USE; GROSS DOMESTIC PRODUCT; PATH ANALYSIS; ROAD TRANSPORT; TREND ANALYSIS;

CHINA;

EID: 84982292042     PISSN: 13619209     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trd.2016.08.009     Document Type: Article

References (38)

1. Allan, G., Hanley, N., Mcgregor, P., Swales, K., Turner, K., The impact of increased efficiency in the industrial use of energy: a computable general equilibrium analysis for the United Kingdom. Energy Econ. 29:4 (2007), 779–798.
2. Bates, J.M., Granger, C.W.J., The combination of forecasts. Operational Res. Q. 20 (1969), 451–468.
3. China Statistical Yearbook, 2008–2012. < http://www.stats.gov.cn/tjsj/ndsj/>.
4. Chatfield, C., What is the ‘best’ method of forecasting?. J. Appl. Stat. 15:1 (1988), 19–38.
5. Chai, J., Zhang, Z.Y., Wang, S.Y., Lai, K.K., Liu, J., Aviation fuel demand development in China. Energy Econ. 46 (2014), 224–235.
6. Chai, J., Guo, J.E., Meng, L., Wang, S.Y., Exploring the core factors and its dynamic effects on oil price: an application on path analysis and BVAR-TVP model. Energy Policy 39:12 (2011), 8022–8036.
7. Dai, Y., Gao, H.O., Energy consumption in China's logistics industry: a decomposition analysis using the LMDI approach. Transp. Res. Part D-Transp. Environ. 46 (2016), 69–80.
8. Godsill, S.J., On the relationship between Markov chain Monte Carlo for model uncertainty. J. Comput. Graphical Stat. 10:2 (2001), 230–248.
9. Green, P.J., Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 82:4 (1995), 711–732.
10. Hu, X., Chang, S., Li, J., Qin, Y., Energy for sustainable road transportation in China: challenges, initiatives and policy implications. Energy 35:11 (2010), 4289–4301.
11. Hanley, N., Mcgregor, P.G., Swales, J.K., Turner, K., Do increases in energy efficiency improve environmental quality and sustainability?. Ecol. Econ. 68:3 (2009), 692–709.
12. Hansen, M., Huang, Y., Road supply and traffic in California urban areas. Transp. Res. Part A: Policy Pract. 31:3 (1997), 205–218.
13. Hoeting, J.A., Madigan, D., Raftery, A.E., Volinsky, C.T., Bayesian model averaging: a tutorial. Stat. Sci. 14:4 (1999), 382–417.
14. Hyndman, R.J., Khandakar, Y., Automatic time series forecasting: the forecast package for R. J. Stat. Softw. 27:3 (2008), 1–22.
15. Islam, F., Shahbaz, M., Ahmed, A.U., Alam, M.M., Financial development and energy consumption nexus in Malaysia: a multivariate time series analysis. Econ. Model. 30:1 (2013), 435–441.
16. Jia, S., Mao, B., Liu, S., Sun, Q., Calculation and analysis of transportation energy consumption level in China. J. Transp. Syst. Eng. Inf. Technol. 10:1 (2010), 22–27.
17. Kurz-Kim, Jeong-Ryeol, Combining forecasts using optimal combination weight and generalized autoregression. J. Forecasting 27:5 (2008), 419–432.
18. Karanfil, F., How many times again will we examine the energy-income nexus using a limited range of traditional econometric tools?. Energy Policy 37:4 (2009), 1191–1194.
19. Lin, B., Xie, C., Energy substitution effect on transport industry of China based on trans-log production function. Energy 67:4 (2014), 213–222.
20. Liu, Y., Exploring the relationship between urbanization and energy consumption in China using ARDL and FDM. Energy 34:11 (2009), 1846–1854.
21. Lin, G., Globalization of the automobile industry in China: dynamics and barriers in greening of the road transportation. Energy Policy 31:6 (2003), 537–551.
22. Leamer, E.E., Specification Searches. 1978, Wiley, New York.
23. National Bureau of Statistics of the People's Republic of China, 2015. < http://www.stats.gov.cn/tjsj/ndsj/>.
24. Sun, Q.P., Jia, S.W., Zhu, L., Xu, C., Dynamic situation combination decomposition model of urban traffic energy consumption. J. Traffic Transp. Eng. 13:3 (2013), 94–100 (in Chinese).
25. Su, X., Zhou, W., Nakagami, K., Ren, H., Mu, H., Capital stock-labor-energy substitution and production efficiency study for China. Energy Econ. 34:4 (2012), 1208–1213.
26. Smyth, R., Narayan, P.K., Shi, H.L., Substitution between energy and classical factor inputs in the Chinese steel sector. Appl. Energy 88:1 (2011), 361–367.
27. The China Road Transportation Statistics Index and Calculation Method.
28. Viallefont, V., Raftery, A.E., Richardson, S., Variable selection and Bayesian model averaging in case-control studies. Stat. Med. 20:21 (2001), 3215–3230.
29. Word Bank, 2010. < http://data.worldbank.org.cn/>.
30. Wang, Y.F., Li, K.P., Xu, X.M., Zhang, Y.R., Transport energy consumption and saving in China. Renew. Sustain. Energy Rev. 29:7 (2014), 641–655.
31. Wang, Z., Lu, M., An empirical study of direct rebound effect for road freight transport in China. Appl. Energy 133:6 (2014), 274–281.
32. Wang, H., Zhou, P., Zhou, D.Q., An empirical study of direct rebound effect for passenger transport in urban China. Energy Econ. 34:2 (2012), 452–460.
33. Wang, H., Zhou, D.Q., Zhou, P., Zha, D.L., Direct rebound effect for passenger transport: empirical evidence from Hong Kong. Appl. Energy 92:2 (2012), 162–167.
34. Yan, X., Crookes, R.J., Energy demand and emissions from road transportation vehicles in China. Prog. Energy Combust. Sci. 36:6 (2010), 651–676.
35. Yu, W.J., Wang, A.J., Wang, G.S., A prediction on the time of realizing zero growth of energy consumption in China. Acta Geosci. Sin. 31:5 (2010), 635–644 (in Chinese).
36. Zhang, S.W., Jiang, K.J., Liu, S.D., Energy consumption of China's transport development and its policy implications. China Soft Sci. Mag. 5 (2006), 58–62 (in Chinese).
37. Zhang, M., Mu, H., Li, G., Ning, Y., Forecasting the transport energy demand based on PLST method in China. Energy 34:9 (2009), 1396–1400.
38. Zhou, W., Zhu, B., Chen, D., Griffy-Brown, C., Ma, Y., Fei, W., Energy consumption patterns in the process of China's urbanization. Popul. Environ. 33:2–3 (2012), 202–220.