Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China)

Adams, 1998, Research productivity in a system of universities, Ann. Econ. Stat., 49/50, 127

Arabi, 2014, Power industry restructuring and eco-efficiency changes: a new slacks-based model in Malmquist–Luenberger index measurement, Energy Policy, 68, 132, 10.1016/j.enpol.2014.01.016

Arellano, 1991, Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations, Rev. Econ. Stud., 58, 277, 10.2307/2297968

Arellano, 1995, Another look at the instrumental variable estimation of error-component models, J. Econ., 58, 29, 10.1016/0304-4076(94)01642-D

Blundell, 1998, Initial conditions and moment restrictions in dynamic panel data models, J. Econ., 87, 115, 10.1016/S0304-4076(98)00009-8

Bai, 2011, Regional innovation efficiency in China: the role of local government, Innov.: Manag. Policy Pract., 13, 142, 10.5172/impp.2011.13.2.142

Cameron, 2009

Chen, 2011, The abatement of carbon dioxide intensity in China: factors decomposition and policy implications, World Econ., 34, 1148, 10.1111/j.1467-9701.2011.01370.x

Chen, 2011, Structural change, productivity growth and industrial transformation in China, China Econ. Rev., 22, 133, 10.1016/j.chieco.2010.10.003

Chen, 2006, Reductions in emissions of local air pollutants and co-benefits of Chinese energy-policy: a Shanghai case study, Energy Policy, 34, 754, 10.1016/j.enpol.2004.07.007

Chen, 2014, ‘Green’ productivity growth in China's industry economy, Energy Econ., 44, 89, 10.1016/j.eneco.2014.04.002

Chen S.Y., Environmental pollution emissions, regional productivity growth and ecological economic development in China, China Econ. Rev., http://dx.doi.org/10.1016/j.chieco.2014.08.005, in press.

Chung, 1997, Productivity and undesirable outputs: a directional distance function approach, J. Environ. Manag., 51, 229, 10.1006/jema.1997.0146

Dolf, 2001, The CO2 emission reduction benefits of Chinese energy policies and environmental policies: a case study for Shanghai, period 1995–2020, Ecol. Econ., 39, 257

Fare, 2001, Accounting for air pollution emissions in measures of state manufacturing productivity growth, J. Reg. Sci., 41, 381, 10.1111/0022-4146.00223

Fare, 2007, Environmental production functions and environmental directional distance functions, Energy, 32, 1055, 10.1016/j.energy.2006.09.005

Guellec, 2004, From R&D to productivity growth: do the institutional settings and the source of funds of R&D matter?, Oxford Bull. Econ. Stat., 66, 353, 10.1111/j.1468-0084.2004.00083.x

Guo, 2010, The strategy of energy-related carbon emission reduction in Shanghai, Energy Policy, 38, 633, 10.1016/j.enpol.2009.06.074

He, 2013, Energy efficiency and productivity change of China's iron and steel industry: accounting for undesirable outputs, Energy Policy, 54, 203, 10.1016/j.enpol.2012.11.020

Hu, 2014, R&D efficiency and the national innovation system: an international comparison using the distance function approach, Bull. Econ. Res., 66, 55, 10.1111/j.1467-8586.2011.00417.x

Huang, 2014, A comprehensive eco-efficiency model and dynamic of regional eco-efficiency in China, J. Clean. Prod., 67, 228, 10.1016/j.jclepro.2013.12.003

International Energy Agency (IEA). CO2 Emissions from Fuel Combustion-Highlights (2009 edition), 〈http://www.iea.org/co2highlights/co2highlights.pdf〉.

Kumar, 2006, Environmentally sensitive productivity growth: a global analysis using Malmquist–Luenberger index, Ecol. Econ., 56, 280, 10.1016/j.ecolecon.2005.02.004

Lee, 2005, An international comparison of R&D efficiency: DEA approach, Asian J. Technol. Innov., 13, 207, 10.1080/19761597.2005.9668614

Li, 2010, Regional difference and influence factors of China's carbon dioxide emissions, China Popul. Resour. Environ., 20, 22

Li, 2010, Energy demand and carbon emissions under different development scenarios for Shanghai, China, Energy Policy, 38, 4797, 10.1016/j.enpol.2009.08.048

Managi, 2006, Economic growth and the environment in China: An empirical analysis of productivity, Glob. Environ., 6, 89

Metcalf, 2008, An empirical analysis of energy intensity and its determinants at the state level, Energy J., 29, 1, 10.5547/ISSN0195-6574-EJ-Vol29-No3-1

National Bureau of Statistics of China, 2008

Oh, 2010, A global Malmquist–Luenberger productivity index, J. Prod. Anal., 34, 183, 10.1007/s11123-010-0178-y

Oh, 2010, A sequential Malmquist–Luenberger productivity index: environmentally sensitive productivity growth considering the progressive nature of technology, Energy Econ., 32, 1345, 10.1016/j.eneco.2010.09.003

Pastor, 2005, A global Malmquist productivity index, Econ. Lett., 88, 266, 10.1016/j.econlet.2005.02.013

Roodman, 2006, How to do xtabond2: an introduction to difference and system GMM in Stata, Stata J., 9, 86, 10.1177/1536867X0900900106

Shan, 2008, Re-estimating the capital stock of China: 1952–2006, J. Quant. Tech. Econ., 10, 17

Shao, 2010, Study on influence factors of CO2 emissions from industrial energy consumption, J. Finance Econ., 40, 149

Shao, 2011, Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994–2009, Energy Policy, 39, 6476, 10.1016/j.enpol.2011.07.049

Shao, 2014, Using latent variable approach to estimate China's economy-wide energy rebound effect over 1954–2010, Energy Policy, 72, 235, 10.1016/j.enpol.2014.04.041

Sougiannis, 1994, The accounting based valuation of corporate R&D, Acc. Rev., 69, 44

Statistics Department of industry and Transport of National Bureau of Statistics of China, 2003

The Intergovernmental Panel on Climate Change (IPCC), 2006

Tu, 2008, The coordination of industrial growth with environment and resource, Econ. Res. J., 2, 93

Wang, 2007, Relative efficiency of R&D activities: a cross-country study accounting for environmental factor in the DEA approach, Res. Policy, 36, 260, 10.1016/j.respol.2006.11.004

Wang, 2013, A study on carbon emissions in Shanghai 2000–2008, China, Environ. Sci. Policy, 27, 151, 10.1016/j.envsci.2012.12.005

Wang, 2013, Measures to improve the performance of China's thermal power industry in view of cost efficiency, Appl. Energy, 112, 1078, 10.1016/j.apenergy.2013.01.037

Wang, 2013, Scenario-based energy efficiency and productivity in China: a non-radial directional distance function analysis, Energy Econ., 40, 795, 10.1016/j.eneco.2013.09.030

Wang, 2010, Environmental efficiency and environmental total factor productivity growth in China's regional economics, Econ. Res. J., 5, 95

Watanabe, 2007, Efficiency analysis of Chinese industry: a directional distance function approach, Energy Policy, 35, 6323, 10.1016/j.enpol.2007.07.013

Windmeijer, 2005, A finite sample correction for the variance of linear efficient two-step GMM estimators, J. Econ., 126, 25, 10.1016/j.jeconom.2004.02.005

Wu, 1997, Estimates of CO2 emissions in Shanghai (China) in 1990 and 2010, Energy, 22, 1015, 10.1016/S0360-5442(97)00016-9

Xue X.L., Wu H.Q., Zhang X.L., Dai J. and Su C., Measuring energy consumption efficiency of the construction industry: the case of China, J. Clean. Prod. ,http://dx.doi.org/10.1016/j.jclepro.2014.04.082, in press

Zhao, 2010, Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI Method, Energy, 35, 2505, 10.1016/j.energy.2010.02.049

Zhang, 2011, Productivity growth and environmental regulations—accounting for undesirable outputs: analysis of China's thirty provincial regions using the Malmquist–Luenberger index, Ecol. Econ., 70, 2369, 10.1016/j.ecolecon.2011.07.019

Zhou, 2010, Total factor carbon emission performance: a Malmquist index analysis, Energy Econ., 32, 194, 10.1016/j.eneco.2009.10.003