Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution

Apergis, 2013, Is the energy-led growth hypothesis valid? New evidence from a sample of 85 countries, Energy Econ., 38, 24, 10.1016/j.eneco.2013.02.007

Asafu-Adjaye, 2000, The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries, Energy Econ., 22, 615, 10.1016/S0140-9883(00)00050-5

Bannerjee, 1998, Error-correction mechanism tests for cointegration in single equation framework, J. Time Ser. Anal., 19, 267, 10.1111/1467-9892.00091

Belke, 2011, Energy consumption and economic growth: new insights into the cointegration relationship, Energy Econ., 33, 782, 10.1016/j.eneco.2011.02.005

Bloch, 2012, Coal consumption, CO2 emission and economic growth in China: empirical evidence and policy responses, Energy Econ., 34, 518, 10.1016/j.eneco.2011.07.014

BP

Brook, 2004, Oil price developments: drivers, economic consequences and policy responses

Brown, 1975, Techniques for testing the constancy of regression relations overtime, J. R. Stat. Soc., 37, 149, 10.1111/j.2517-6161.1975.tb01532.x

Crompton, 2005, Energy consumption in China: past trends and future directions, Energy Econ., 27, 195, 10.1016/j.eneco.2004.10.006

Dept. of Environment Australia (DEA), 2014

EIA

Fournier, 2013, The price of oil — will it start rising again?

Fuinhas, 2012, Energy consumption and economic growth nexus in Portugal, Italy, Greece, Spain and Turkey: an ARDL bounds test approach (1965–2009), Energy Econ., 34, 511, 10.1016/j.eneco.2011.10.003

Goldemberg, 2010

Govindaraju, 2013, The dynamic links between CO2 emissions, economic growth and coal consumption in China and India, Appl. Energy, 104, 310, 10.1016/j.apenergy.2012.10.042

Haley, 2008, Subsidies and the China price, Harv. Bus. Rev., 86, 25

Jiao, 2009, The structural break and elasticity of coal demand in China: empirical findings from 1980–2006, Int. J. Global Energy Issues, 31, 331, 10.1504/IJGEI.2009.027645

Johansen, 1988, Statistical analysis of cointegration vectors, J. Econ. Dyn. Control., 12, 231, 10.1016/0165-1889(88)90041-3

Johansen, 1990, Maximum likelihood estimation and inference on cointigration with applications to the demand for money, Oxf. Bull. Econ. Stat., 52, 169, 10.1111/j.1468-0084.1990.mp52002003.x

Koop, 1996, Impulse response analysis in nonlinear multivariate models, J. Econ., 74, 119, 10.1016/0304-4076(95)01753-4

Kraft, 1978, On the relationship between energy and GNP, J. Energy Dev., 3, 401

Lee, 2003, Minimum Lagrange multiplier unit root test with two structural breaks, Rev. Econ. Stat., 85, 1082, 10.1162/003465303772815961

Lee, 2004

Liew, 2004, Which lag length selection criteria should we employ?, Econ. Bull., 3, 1

Ma, 2008, China's energy economy: technical change, factor demand and interfactor/interfuel substitution, Energy Econ., 30, 2167, 10.1016/j.eneco.2008.01.010

Masih, 1997, On the temporal causal relationship between energy consumption, real income, and prices: Some new evidence from Asian-energy dependent NICs based on a multivariate cointegration / vector error-correction approach, Journal of Policy Modeling, 19, 417, 10.1016/S0161-8938(96)00063-4

Narayan, 2005, The saving and investment nexus for China: evidence from cointegration test, Appl. Econ., 17, 1979, 10.1080/00036840500278103

Narayan, 2005, Electricity consumption, employment and real income in Australia: evidence from multivariate Granger causality tests, Energy Policy, 33, 1109, 10.1016/j.enpol.2003.11.010

Oh, 2004, Energy consumption and economic growth in Korea: testing the causality relation, J. Policy Model, 26, 973, 10.1016/j.jpolmod.2004.06.003

Ozturk, 2010, A literature survey on energy-growth nexus, Energy Policy, 38, 340, 10.1016/j.enpol.2009.09.024

Perron, 1989, The great crash, the oil price shocks, and the unit root hypothesis, Econometrica, 57, 1361, 10.2307/1913712

Pesaran, 1998, Generalized impulse response analysis in linear multivariate models, Econ. Lett., 58

Pesaran, 1999, An autoregressive distributed lag modelling approach to cointegration analysis

Pesaran, 2001, Bounds testing approaches to the analysis of level relationships, J. Appl. Econ., 16, 289, 10.1002/jae.616

Rafiq, 2009, Temporal causality between energy consumption and income in six Asian emerging countries, Appl. Econ. Q., 55, 1, 10.3790/aeq.55.4.335

Salim, 2009, Business expenditures on R&D and trade performances in Australia: is there a link?, Appl. Econ., 41, 351, 10.1080/00036840601007302

Shahbaz, 2013, The dynamic links between energy consumption, economic growth, financial development and trade in China: fresh evidence from multivariate framework analysis, Energy Econ., 40, 8, 10.1016/j.eneco.2013.06.006

Soytas, 2006, Energy consumption and income in G-7 countries, J. Policy Model, 28, 739, 10.1016/j.jpolmod.2006.02.003

Stern, 1993, Energy and economic growth in the USA: a multivariate approach, Energy Econ., 15, 137, 10.1016/0140-9883(93)90033-N

Stern, 2000, A multivariate cointegration analysis of the role of energy in the US macroeconomy, Energy Econ., 22, 267, 10.1016/S0140-9883(99)00028-6

Tugcu, 2012, Renewable and non-renewable energy consumption and economic growth relationship revisited: evidence from G7 countries, Energy Econ., 34, 1942, 10.1016/j.eneco.2012.08.021

Umbach, 2010, EU–China energy relationships and geopolitics: the challenges for cooperation, 31

Wang, 2011, Energy consumption and economic growth in China: a multivariate causality test, Energy Policy, 39, 4399, 10.1016/j.enpol.2011.04.063

Wolde-Rufael, 2004, Disaggregated industrial energy consumption and GDP: the case of Shanghai, 1952–1999, Energy Econ., 26, 69, 10.1016/S0140-9883(03)00032-X

World Bank

Yuan, 2008, Energy consumption and economic growth: evidence from China at both aggregate and disaggregate levels, Energy Econ., 30, 3077, 10.1016/j.eneco.2008.03.007

Zhang, 2012, Retesting the causality between energy consumption and GDP in China: evidence from sectoral and regional analyses using dynamic panel data, Energy Econ., 34, 1782, 10.1016/j.eneco.2012.07.012