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Carbon emission efficiency of China's logistics industry: Measurement, evolution mechanism, and promotion countermeasures
16 references·3 citing·44 second hop
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this work references cited by second hop

References

  • 1995Local Indicators of Spatial Association—LISA13,061 cited
  • 1988China statistical yearbook12,378 cited
  • 1977Formulation and estimation of stochastic frontier production function models10,129 cited
  • 2010Applied Spatial Econometrics: Raising the Bar1,724 cited
  • 2009Handbook of Applied Spatial Analysis984 cited
  • 2009Total factor carbon emission performance: A Malmquist index analysis757 cited
  • 2010An epsilon-based measure of efficiency in DEA – A third pole of technical efficiency661 cited
  • 2020How does urbanization affect carbon emission efficiency? Evidence from China447 cited
  • 2009Spatial Econometric Models414 cited
  • 2021Agriculture carbon-emission reduction and changing factors behind agricultural eco-efficiency growth in China259 cited
  • 2017Estimation of eco-efficiency and its influencing factors in Guangdong province based on Super-SBM and panel regression models254 cited
  • 2004A Spatial Econometric Approach to the Economics of Site‐Specific Nitrogen Management in Corn Production202 cited
  • 2016Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors188 cited
  • 2022Blue sky defense in low-carbon pilot cities: A spatial spillover perspective of carbon emission efficiency176 cited

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  • 2002Combining indicators of energy consumption and CO2 emissions: a cross-country comparison149 cited
  • 2019Carbon emission efficiency in China: A spatial panel data analysis142 cited
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    • 2025Does Artificial Intelligence (AI) enhance green economy efficiency? The role of green finance, trade openness, and R&D investment78 cited
    • 2024Efficiency evaluation of China's transportation system considering carbon emissions: Evidence from big data analytics methods61 cited
    • 2025Environmental impacts and energy transition in Chinese logistics: An N-Spheres multi-criteria decision-making6 cited