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- W2100096159 abstract "The aim of this paper is to examine the correlation between CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emissions and technical efficiency of logistics sector. In doing so, a one-step Stochastic Frontier Analysis (SFA) approach is employed based on panel data from 25 provincial logistics sector in China. Besides CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emissions, rail mileage, highway mileage, inland waterway mileage and the progress degree of provincial marketization in China are also assumed as inefficient factors to technical efficiency. The result of empirical research shows that the coefficients of four assumed inefficient factors pass significant test except the inland waterway mileage. The most important insight is that this research measures the coefficient of CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emissions to technical efficiency of logistics sector, i.e. reducing 1% CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emissions leads to 0.231% enhancement of technical efficiency of logistics sector. Meantime, facilitating the progress of marketization and expanding mileage of rail and highway system can also improve technical efficiency of logistics sector." @default.
- W2100096159 created "2016-06-24" @default.
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- W2100096159 date "2013-07-01" @default.
- W2100096159 modified "2023-09-24" @default.
- W2100096159 title "CO<inf>2</inf> emissions and technical efficiency of logistics sector: An empirical research from China" @default.
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- W2100096159 doi "https://doi.org/10.1109/soli.2013.6611388" @default.
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