Efficiency measure on the truck restriction policy in China: A non-radial data envelopment model

The paper reports results from a use of non-radial data envelopment analysis (DEA) i.e., range adjusted measure (RAM) which belongs to data envelopment analysis to evaluate the performances of the truck restriction policy in China. The authors try to explore what is inside the “black box” on the restriction policy by empirical study. Using the non-radial DEA model, the authors work with an approach that allows a flexible designation of three input variables and two output variables based on varying perspectives in China. The multipurpose approach reveals whether one policy is truly beneficial instead of officials’ arguments, captured in the form of DEA scores. The modified model can better reflect macro-transportation process while earlier relevant models ignored truckers. This paper contributes to increasing traffic volumes and decreasing traffic accidents from the point of technical efficiency. The results of the authors' paper reveal that: (a) China's truck restriction policies have achieved a significant “level effect” on efficiency improvement. (b) There are remarkable provincial differences in the effectiveness of the restriction policy. (c) Slack decomposition shows that excessive investment is the main source of inefficiency. Moreover, the authors delivery policy implications that: (a) the restriction policies greatly contribute to the efficiencies, and stringent policies are still needed in the following days; (b) the policy-making should suit local conditions, according to the authors' classification of 30 provinces; (c) based on the worst performance of capital stock variable, the authorities should focus more on regulation of investment in transportation sector at a latter stage.


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  • Accession Number: 01721315
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 31 2019 5:00PM