Construction and Comprehensive Evaluation of the High-quality Development Indicator System for Marine Economy in Guangdong Province
DOI: https://doi.org/10.62517/jse.202411509
Author(s)
Yiyong Ye*, Jianhua Xiao
Affiliation(s)
School of Economics and Management, Wuyi University, Jiangmen, Guangdong, China
*Corresponding Author.
Abstract
This article initially dissects the contemporary status of the development of Guangdong's marine economy, and based on the new development concept, develops a framework of evaluation indicators aimed at assessing the high-quality advancement of the marine economy. Then, it utilizes the entropy method to compute the high-quality development index and employs a linear regression model to analyze the key determinants influencing high-quality development. The research outcomes manifest that the trajectory of high-quality development of Guangdong's marine economy is steadily progressing, accompanied by marginal fluctuations in the interim period. The key factors affecting high-quality development include: R&D investment intensity, marine industrial structure upgrading index, marine industrial structure advancement level, industrial wastewater discharge, coastal port cargo throughput, actual utilization of foreign capital, urbanization level, and urban-rural consumption gap. Finally, targeted suggestions are proposed based on the above research results.
Keywords
Marine Economy; High-Quality Development; Entropy Method; Multiple Linear Regression
References
[1] Ding Lili, Zheng Haihong, Zhao Xin. Efficiency of the Chinese Ocean Economy within a Governance Framework Using an Improved Malmquist- Luenberger Index. Journal of Coastal Research, 2017, 34(2):272-281.
[2] M.L. Martínez, A. Intralawan, G. Vázquez, O, et al. Landgrave. The coasts of our world: Ecological, economic and social importance. Ecological Economics, 2006, 63(2):19-23.
[3] Pontecorvo G Contribution of the ocean sector to the United States economy. Marine Technology Society Journal, 1989, 23(2):7-14.
[4] Li Jingyao, Chen Xuan. Empirical Study on the Comprehensive Evaluation Model of Sustainable Development of Shanghai's Marine Economy. Marine Economy, 2021, 11 (03): 38-47.
[5] Cao Fei. Research on the Sustainable Development Ability of Marine Economy in Hainan Province and Its Influencing Factors. Farm Economic Management, 2021(05):35-39.
[6] Zhang Yunhua, Cao Dingye. Spatiotemporal evolution analysis and development prediction of marine economic efficiency in coastal provinces and cities of China. China Price, 2023, (08): 61-64.
[7] Liu Shuai. Construction of a high-quality economic development evaluation system in Liaoning from the perspective of the five development concepts. Journal of Liaoning University of Administration, 2020, (01): 88-92.
[8] Wang Zeyu, Wang Yanxi. Spatio and Temporal Differentiation and Influencing Factors of the Marine Economy Resilience in China. Economic Geography, 2019, 39(2): 139-145.
[9] Cui Xiwen, Zhu Jianzhen. Measurement and Empirical Study on the Influencing Factors of High-quality Development of the Marine Economy - An Empirical Study Based on Principal Component Analysis. Guangdong Economy, 2020, (08): 66-73.
[10] Chang Yumiao. A Case Study on China's Coastal Province's Panel Data: Factors of Oceanic Economic Development. Resources and Industries, 2011, 13(5):67-88.
[11] Ren Baoping. Transition from Rapid Growth to High-Quality Development of China's Economy in the New Era: Theoretical Explanation and Practical Orientation. Academic Monthly, 2018, 50(03): 66-74.
[12] Liu Chang. High Quality Development Evaluation and Spatiotemporal Evolution Analysis of Marine Economy in Coastal Areas of China. Liaoning Normal University, 2020.
[13] Ye Shujun, Bao Xuhang, Wen Xue. Measurement of Marine Industrial Competitiveness and Evaluation of Economic Effects in Guangxi Beibu Gulf Economic Zone. Journal of Guangxi University for Nationalities (Philosophy and Social Sciences Edition), 2019, 41 (05): 145-152.
[14] Yang Baochen, Li Jingjing. The Panel Cointegration Test with Structural Changes Based on the Bootstrap. Journal of Quantitative and Technological Economics, 2012, 29(9). 25-33.