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Audit Evaluation and Driving Force Analysis of Marine Economic Development Quality

Author

Listed:
  • Sheng Gao

    (School of Government Auditing, Nanjing Audit University, Nanjing 211815, China)

  • Huihui Sun

    (School of Government Auditing, Nanjing Audit University, Nanjing 211815, China
    College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Runjie Wang

    (College of Ocean Science and Engineering, Nanjing Normal University, Nanjing 210023, China)

Abstract

High quality development of the marine economy is the main focus of China’s future. This paper combined principal component analysis (PCA) method, coupling coordination degree (CCD) model, and data envelopment analysis (DEA) model to evaluate the quality of marine economic development, and analyze the drivers in Jiangsu Province, China, from 2008 to 2016. The results show that the investment in marine economic development has gradually declined, while the output has been increasing. It gradually presents a state of intensive development with low input and high output. The coupling coordination level of high-quality development of the marine economy in 2009–2014 and 2016 was above the good coordination level. The quality of marine economic development continued to grow, with an average increase of 25.1%, of which the technological progress change index played a decisive role, mainly through improving total factor productivity. Marine economic development is becoming more diversified. Total industrial wastewater discharge, the added value of marine and related industries, and the number of marine-related employees are the main influencing factors.

Suggested Citation

  • Sheng Gao & Huihui Sun & Runjie Wang, 2022. "Audit Evaluation and Driving Force Analysis of Marine Economic Development Quality," Sustainability, MDPI, vol. 14(11), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6822-:d:830721
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    References listed on IDEAS

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    1. Montfort Mlachila & René Tapsoba & Sampawende J. A. Tapsoba, 2017. "A Quality of Growth Index for Developing Countries: A Proposal," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 675-710, November.
    2. Morita, Hiroshi & Hirokawa, Koichiro & Zhu, Joe, 2005. "A slack-based measure of efficiency in context-dependent data envelopment analysis," Omega, Elsevier, vol. 33(4), pages 357-362, August.
    3. Mingming Wen & Chang Liu & K. A. Mamonov & Jun Du & Ahmed Farouk, 2021. "Measurement of Coordinated and Coupled Development and Evaluation of Sustainable Development for Marine Economic-Ecological Complex System," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-12, September.
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    Cited by:

    1. Wenhan Ren & Yu Chen, 2022. "Realizing the Improvement of Green Total Factor Productivity of the Marine Economy—New Evidence from China’s Coastal Areas," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    2. Sheng Gao & Huihui Sun & Jingyi Wang & Wei Liu, 2022. "Evaluation and Countermeasures of High-Quality Development of China’s Marine Economy Based on PSO-SVM," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    3. Hongfeng Zhang & Xiaoyang Wang, 2024. "Regional Disparities and Dynamic Distribution in the High-Quality Development of the Marine Economy," Sustainability, MDPI, vol. 16(2), pages 1-27, January.
    4. Zhanjiang Li & Yanlin Cong, 2023. "Development of Family Farms in Inner Mongolia, China," Sustainability, MDPI, vol. 15(23), pages 1-28, November.
    5. Pejman Peykani & Mostafa Sargolzaei & Amir Takaloo & Shahla Valizadeh, 2023. "The Effects of Monetary Policy on Macroeconomic Variables through Credit and Balance Sheet Channels: A Dynamic Stochastic General Equilibrium Approach," Sustainability, MDPI, vol. 15(5), pages 1-21, March.

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