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Review of evaluation methodologies and influencing factors for energy efficiency of the iron and steel industry
16 references·1 citing·39 second hop
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References

  • 1984Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis16,773 cited
  • 1977Formulation and estimation of stochastic frontier production function models10,129 cited
  • 2000Stochastic Frontier Analysis4,357 cited
  • 1982On the estimation of technical inefficiency in the stochastic frontier production function model3,446 cited
  • 1994Data Envelopment Analysis: Theory, Methodology, and Applications2,873 cited
  • 1961Capital-Labor Substitution and Economic Efficiency2,224 cited
  • 2005Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000715 cited
  • 1998Changes in energy consumption and energy intensity: A complete decomposition model530 cited
  • 2005Environmentally sensitive productivity growth: A global analysis using Malmquist–Luenberger index463 cited
  • 2004Data Envelopment Analysis392 cited
  • 2016Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model370 cited
  • 2017Data envelopment analysis application in sustainability: The origins, development and future directions359 cited
  • 2000Estimating the linkage between energy efficiency and productivity347 cited
  • 1997Data Envelopment Analysis Theory, Methodology and Applications

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330 cited
  • 2007An empirical analysis of energy efficiency in China's iron and steel sector316 cited
  • 2016Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry315 cited
  • Cited by

    • 2022Analysis of China's energy efficiency and influencing factors under carbon peaking and carbon neutrality goals78 cited