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Evaluation and Spatial Correlation Analysis of Green Economic Growth Efficiency in Yangtze River Delta Urban Agglomeration

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  • Jialu Su

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Zhiqiang Ma

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Yan Wang

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Xinxing Wang

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

Abstract

The Yangtze River Delta urban agglomeration has an extremely important strategic location in the national regional development pattern, is the engine of China’s green economic development, and plays an important role in promoting the green transformation of the national economy. It is important to clarify the region’s current situation and the space–time characteristics of green economic growth. This study uses a super-efficiency dynamic Slacks-Based Measure (SBM) model to measure the green economic growth efficiency (GEGE) of 41 cities in the Yangtze River Delta urban agglomeration. Based on this, the exploratory spatial data analysis (ESDA) method is used to analyze the spatial correlation of the GEGE. Differently from previous studies, this paper evaluates the GEGE based on a dynamic perspective, considering the intertemporal role of capital. At the same time, the space–time analysis of regional systems (STARS) is used to explore the long-term development pattern and transition path of the GEGE in the Yangtze River Delta urban agglomeration. The results show the following: (1) The GEGE in the Yangtze River Delta urban agglomeration shows a fluctuating downward trend. The efficiency values of the Shanghai, Jiangsu, Zhejiang, and Anhui are significantly different, showing the distribution law of “high in the east and low in the west”. (2) The global spatial autocorrelation has weakened, but the characteristics of local agglomeration are obvious. (3) The space–time transitions show high spatial stability and path dependence. The findings highlight that the economic development of the Yangtze River Delta urban agglomeration is undergoing a difficult period of transition. Despite a decline in the GEGE, the overall regional linkage shows a positive trend. The conclusions can provide a reference for enhancing the green economic development of the Yangtze River Delta urban agglomeration. The implications of this research are important for the implementation of a regional integration strategy and the early achievement of the emission peak and carbon neutrality goals.

Suggested Citation

  • Jialu Su & Zhiqiang Ma & Yan Wang & Xinxing Wang, 2023. "Evaluation and Spatial Correlation Analysis of Green Economic Growth Efficiency in Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2583-:d:1053211
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    1. Zhang, Dongyang & Mohsin, Muhammad & Rasheed, Abdul Khaliq & Chang, Youngho & Taghizadeh-Hesary, Farhad, 2021. "Public spending and green economic growth in BRI region: Mediating role of green finance," Energy Policy, Elsevier, vol. 153(C).
    2. Piotr Raźniak & Sławomir Dorocki & Tomasz Rachwał & Anna Winiarczyk-Raźniak, 2021. "The Role of the Energy Sector in the Command and Control Function of Cities in Conditions of Sustainability Transitions," Energies, MDPI, vol. 14(22), pages 1-14, November.
    3. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
    4. Lu, Xinhai & Chen, Danling & Kuang, Bing & Zhang, Chaozheng & Cheng, Chen, 2020. "Is high-tech zone a policy trap or a growth drive? Insights from the perspective of urban land use efficiency," Land Use Policy, Elsevier, vol. 95(C).
    5. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    6. Luo, Kang & Liu, Yaobin & Chen, Pei-Fen & Zeng, Mingli, 2022. "Assessing the impact of digital economy on green development efficiency in the Yangtze River Economic Belt," Energy Economics, Elsevier, vol. 112(C).
    7. Natalia Borisovna Lubsanova & Lyudmila Bato-Zhargalovna Maksanova & Zinaida Sergeevna Eremko & Taisiya Borisovna Bardakhanova & Anna Semenovna Mikheeva, 2022. "The Eco-Efficiency of Russian Regions in North Asia: Their Green Direction of Regional Development," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    8. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    9. Niu, Tong & Yao, Xilong & Shao, Shuai & Li, Ding & Wang, Wenxi, 2018. "Environmental tax shocks and carbon emissions: An estimated DSGE model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 9-17.
    10. Yongbo Yu & Zihan Yi & Jiahui Jia, 2022. "The Efficiency Evolution and Risks of Green Development in the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    11. Montassar Kahia & Anis Omri & Bilel Jarraya, 2021. "Green Energy, Economic Growth and Environmental Quality Nexus in Saudi Arabia," Sustainability, MDPI, vol. 13(3), pages 1-13, January.
    12. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2012. "A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs?," Energy Policy, Elsevier, vol. 46(C), pages 574-584.
    13. Nelson Amowine & Huaizong Li & Kofi Baah Boamah & Zhixiang Zhou, 2021. "Towards Ecological Sustainability: Assessing Dynamic Total-Factor Ecology Efficiency in Africa," IJERPH, MDPI, vol. 18(17), pages 1-23, September.
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