A Study on the Policy Effects of the Establishment of Guangdong–Hong Kong–Macao Greater Bay Area on Logistics Efficiency

Abstract

Logistics efficiency is an important indicator when measuring the level of development of the logistics industry, and policy factors are the most difficult to measure among the factors affecting logistics efficiency. This study aimed to construct a new empirical model by combining a three-stage data envelopment analysis (DEA) model and the econometric method propensity score matching and difference-in-differences (PSM–DID) to measure and analyze the net change in logistics efficiency in the Guangdong–Hong Kong–Macao Greater Bay Area under the influence of this policy factor. The empirical evidence shows that different amounts of change occurred in the two time periods after the establishment of the Greater Bay Area and a significant increase in logistics efficiency occurred in the second period, further demonstrating that the economic policy of the Greater Bay Area is effective in improving logistics efficiency and providing a case reference for other countries or regions with similar conditions.