Evaluating Performance and Efficiency of Logistics in Chinese Provinces and Cities along the Belt and Road Initiative
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This research first focuses on the efficiency of logistics by comparing the efficiency of the provinces and cities according to the DEA/BCC model while breaking down the comprehensive efficiency into pure technical efficiency and scale efficiency. Second, the Malmquist model is used to compare the efficiency of the units in different time frames. The efficiency of the decision-making units is analyzed dynamically, and we broke down the total factor productivity index into technical progress index, pure technical efficiency change index, and scale efficiency change index looking at the specific factors that affect the efficiency of logistics. Third, a Tobit regression model was used to analyze the factors as the efficiency of the evaluation results are linked: the level of economic development, location factors, investments, length of transport line, and employees. The main findings are: (1) in the provinces and cities along the Belt and Road, only Shanghai and Fujian’s logistical efficiency is optimal, and the logistical efficiency of other provinces and cities still have great room for improvement, and (2) the influence on the Belt and Road Initiative in logistical efficiency (from high to low) are location factors, employees, investment, the level of economic development and length of transport line.
Abstract
This research first focuses on the efficiency of logistics by comparing the efficiency of the provinces and cities according to the DEA/BCC model while breaking down the comprehensive efficiency into pure technical efficiency and scale efficiency. Second, the Malmquist model is used to compare the efficiency of the units in different time frames. The efficiency of the decision-making units is analyzed dynamically, and we broke down the total factor productivity index into technical progress index, pure technical efficiency change index, and scale efficiency change index looking at the specific factors that affect the efficiency of logistics. Third, a Tobit regression model was used to analyze the factors as the efficiency of the evaluation results are linked: the level of economic development, location factors, investments, length of transport line, and employees. The main findings are: (1) in the provinces and cities along the Belt and Road, only Shanghai and Fujian’s logistical efficiency is optimal, and the logistical efficiency of other provinces and cities still have great room for improvement, and (2) the influence on the Belt and Road Initiative in logistical efficiency (from high to low) are location factors, employees, investment, the level of economic development and length of transport line.
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