Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

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Study on the Urban Efficiency of Guangdong- Hong Kong-Macao Greater Bay Area Based on DEA and Malmquist Model

Authors
Haifei Wang1, *
1School of Economics and Management, Zhaoqing University, Zhaoqing 526061, Zhaoqing, China
*Corresponding author. Email: wanghf_186@163.com
Corresponding Author
Haifei Wang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_33How to use a DOI?
Keywords
DEA model; Malmquist index; Urban efficiency; Guangdong-Hong Kong- Macao Greater Bay Area
Abstract

This study selects land, capital, labor, and information technology as input indicators, and regional GDP as an output indicator, and uses DEA model and Malmquist index method to analyze the urban efficiency and its variation of 11 cities in Guangdong-Hong Kong-Macao Greater Bay Area in 2011, 2013, and 2015. Through the research, it has been found that: ① The overall efficiency of Guangdong-Hong Kong-Macao Greater Bay Area, an economically developed area in China, is not high, and only a few cities such as Guangzhou, Foshan, Hong Kong, and Macao have achieved the optimal overall efficiency, and the scale efficiency is the main factor determining the optimal overall efficiency; ② From the perspective of three major economic sectors, the overall efficiency of “Guangzhou-Foshan-Zhaoqing” sector is higher than that of “Shenzhen-Dongguan-Huizhou-Hong Kong” Sector and “Jiangmen-Zhongshan-Zhuhai-Macao” sector; from the perspective of urban size, there is no obvious correlation between urban efficiency and the size of urban population; ③ From the perspective of variation trend, the variability index of urban overall efficiency and productivity shows weak declining trend, and the main factor affecting the change of overall efficiency and productivity is the change of scale efficiency; the urban overall efficiency decline of Shenzhen-Dongguan-Huizhou-Hong Kong sector is the most obvious. Except for medium-sized cities, the overall efficiency of mega cities and big cities is declining.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-102-9_33
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_33How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Haifei Wang
PY  - 2022
DA  - 2022/12/29
TI  - Study on the Urban Efficiency of Guangdong- Hong Kong-Macao Greater Bay Area Based on DEA and Malmquist Model
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 300
EP  - 312
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_33
DO  - 10.2991/978-94-6463-102-9_33
ID  - Wang2022
ER  -