Spatiotemporal differentiation of energy eco-efficiency of shipbuilding industry in China

Cui, Ying; Qiu, Kai; Li, Gen; Jiang, Huaming; Kong, Lingyuan

doi:10.1016/j.ocecoaman.2022.106347

Cited by 10 publications

(5 citation statements)

References 30 publications

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“…The compatibility of shipping with environmental protection is an issue that concerns the international community more and more under the threat of climate change. Legislative and institutional initiatives for sustainable development in shipping set a strict regulatory framework to reduce pollution from shipping activities but also look more long-term towards the development of innovative technologies with higher energy efficiency [1,2,8,27,80].…”

Section: Discussionmentioning

confidence: 99%

“…However, as much as shipping activities contribute to progress and development, they also endanger the environment. With environmental protection and sustainability playing a leading role in shaping the policies of countries worldwide, shipping's relationship with sustainability and efforts to prevent pollution from marine activities are expected to be at the center of attention [3,13,80,85].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Measuring Eco-Efficiency of the Global Shipping Sector Based on an Energy and Environmental Approach: A Dynamic Slack-Based Measure Non-Oriented Model

Parris,

Spinthiropoulos,

Ragazou

et al. 2023

Energies

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The compatibility of shipping with environmental protection is a subject that the international community is becoming increasingly concerned about, considering the threat of climate change. The current study aims to assess the worldwide shipping sector’s eco-efficiency performance for the first time using the Dynamic Slack-Based assess non-oriented Data Envelopment Analysis methodology, while the visualization of the results has been made with the geographic information system of ArcGIS. The findings show that the most vibrant shipping sectors in the world, such as the Marshall Islands, present the lowest eco-efficiency levels due to the nations’ roles as tax havens for shipowners. Furthermore, traditional maritime economies such as the Chinese one show a great growth in the eco-efficiency score due to the strategies of the shipping companies that are headquartered in the region to invest and adopt Environmental, Social, and Governance principles, which help them to achieve high scores in eco-efficiency. Finally, nations with small fleets have the greatest eco-efficiency score, as local governments have engaged in sustainable activities and initiatives over the previous four to five years to enable their marine industry to thrive and dominate the market.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Measuring Eco-Efficiency of the Global Shipping Sector Based on an Energy and Environmental Approach: A Dynamic Slack-Based Measure Non-Oriented Model

Parris,

Spinthiropoulos,

Ragazou

et al. 2023

Energies

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“…DEA is an effective tool to measure the efficiency of decision-making units (DMUs), with many classic forms, such as CCR (named after the initials of Charnes, Cooper, and Rhodes, 1978) [25], BCC (named after the initials of Banker, Charnes, and Cooper, 1984) [26], slacks-based measure (SBM) [27], etc. However, its single radial or non-radial assumption often differs from the reality, resulting in inefficiency factors.…”

Section: Super-ebmmentioning

confidence: 99%

Spatiotemporal Pattern and Convergence Test of Energy Eco-Efficiency in the Yellow River Basin

Feng

Kong

Zhou³

2023

IJERPH

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Examining the convergence characteristics of energy eco-efficiency in the Yellow River Basin (YRB) is of great significance for the sustainable development of China. It fulfills the international commitment to carbon peak and carbon neutrality. Based on the Super-EBM model and ML index, this paper measures the energy eco-efficiency of 60 cities in the YRB during 2006–2018, and then spatial and temporal patterns are both analyzed before the final investigation of the convergence in the YRB. The results show the following: (1) From 2006 to 2018, the energy eco-efficiency of the YRB showed a significant upward trend, but there was still a 25.61% improvement compared with the production frontier. (2) The spatial differentiation of the energy eco-efficiency in the YRB was significant, and the inter-regional differences were the main reason for this. (3) There was no σ-convergence in energy eco-efficiency in the YRB during 2006–2018, but absolute and conditional β-convergence did occur. (4) Although the significant factors in the convergences were different, the levels of energy eco-efficiency in the different reaches all developed towards stable levels, and the catch-up effects in the less-developed regions were significant.

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“…To analyze the spatial-temporal characteristics of the SC in China, spatial autocorrelation analysis was utilized [37]. Spatial autocorrelation refers to the correlation between adjacent regions in space, which can be divided into global spatial autocorrelation and local spatial autocorrelation [38]. Global and local spatial autocorrelation patterns are identified using Moran's I in order to understand the spatial dependence between different locations [39].…”

Section: Analyzing the Spatial-temporal Characteristics Of The Sc In ...mentioning

confidence: 99%

Evaluation of the Smart City and Analysis of Its Spatial–Temporal Characteristics in China: A Case Study of 26 Cities in the Yangtze River Delta Urban Agglomeration

Gu,

Liu,

Liu

et al. 2023

Land

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The smart city is recognized as a potent instrument for creating efficient urban environments and improving the quality of life of urban residents. However, there is an absence of research establishing a comprehensive evaluation model for the smart cities (SCs) and focusing on their spatiotemporal analysis. Thus, a comprehensive evaluation framework was developed and applied to 26 cities in the Yangtze River Delta Urban Agglomeration (YRDUA) in China from 2017 to 2020 to assess the smart city level (SCL) in China and analyze these cities’ spatial–temporal characteristics. The results indicated the following: (1) The overall SCL in the YRDUA has exhibited sustainable improvement, and the gap between cities is gradually narrowing. (2) The SCL of the YRDUA exhibits a higher SCL in the east and a lower SCL in the west of the YRDUA. The global spatial correlation of the SCL was random. Nantong, Hefei, Jiaxing, Zhoushan, Chizhou, Tongling, and Wuhu showed significant local spatial correlation. (3) The comprehensive evaluation framework is applicable for analyzing the SCs in China, and this framework can also be extended to other countries. Pertinent recommendations are put forth to enhance the SCL through the formulation of policies and fostering intercity collaboration. This research not only enriches the theoretical research on smart city evaluation but also clarifies the spatial–temporal characteristics of the SCs in China, thereby providing valuable insights that can foster sustainable smart city development.

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Spatiotemporal differentiation of energy eco-efficiency of shipbuilding industry in China

Cited by 10 publications

References 30 publications

Measuring Eco-Efficiency of the Global Shipping Sector Based on an Energy and Environmental Approach: A Dynamic Slack-Based Measure Non-Oriented Model

Measuring Eco-Efficiency of the Global Shipping Sector Based on an Energy and Environmental Approach: A Dynamic Slack-Based Measure Non-Oriented Model

Spatiotemporal Pattern and Convergence Test of Energy Eco-Efficiency in the Yellow River Basin

Evaluation of the Smart City and Analysis of Its Spatial–Temporal Characteristics in China: A Case Study of 26 Cities in the Yangtze River Delta Urban Agglomeration

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