Analysis of Factors Affecting Total Factor Productivity in the Marine Economy

Yiling Gong (), Shixuan Zhang (), Yingcong Zheng () and Jing Chang ()
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Yiling Gong: Zhuhai College of Science and Technology, School of Statistics and Data Science
Shixuan Zhang: Zhuhai College of Science and Technology, School of Statistics and Data Science
Yingcong Zheng: Zhuhai College of Science and Technology, School of Statistics and Data Science
Jing Chang: Zhuhai College of Science and Technology, School of Statistics and Data Science

A chapter in Proceedings of the 4th International Conference on Economic Development and Business Culture (ICEDBC 2024), 2024, pp 299-306 from Springer

Abstract: Abstract In the new era of building a strong marine country, China is focusing on promoting the high-quality development of the marine economy and continuously optimizing the spatial layout of marine economic development. This paper studies the influencing factors of total factor productivity in the marine economy, aiming to formulate economic policies to promote the sustained growth of the marine economy. The raw data of this paper comes from 11 coastal provinces in China Marine Economic Statistics Yearbook, and the DEA model is used to measure total factor productivity, and the corresponding impulse response and variance decomposition are derived according to the PVAR model test.

Keywords: Maritime economy; Total factor productivity; DEA model; PVAR model (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-538-6_35

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