Research on The Effect of Borrowed Size and Borrowed Functions on Total Factor Productivity-Based on The Big Data Analysis of the Yangtze River Delta

YinFei Chen and JiaMin Lian

Chapter 44 in Economic Management and Big Data Application:Proceedings of the 3rd International Conference, 2024, pp 498-505 from World Scientific Publishing Co. Pte. Ltd.

Abstract: This paper uses computer technology to analyze the data of the Yangtze River Delta from 2003 to 2019 and studies the impact of borrowing scale and borrowing function on total factor productivity. The results show that borrowed size and borrowed functions can accelerate the promotion of total factor productivity: technical efficiency and technological progress. The former can be improved by borrowed size and borrowed functions, and the latter can be further advanced by upgrading the industrial structure. Therefore, it is necessary to strengthen the accessibility between cities, improve technical efficiency and technological progress, and promote the matching of the industrial structure with urban scale and function, thereby realizing the integrated development of the Yangtze River Delta.

Keywords: Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce (search for similar items in EconPapers)
JEL-codes: C63 C8 O14 (search for similar items in EconPapers)
Date: 2024
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