Comprehensive efficiency evaluation of social responsibility of Chinese listed logistics enterprises based on DEA-Malmquist model

Quan, Chunguang; Yu, Shuxia; Cheng, Xingwang; Liu, Feiyue

doi:10.1007/s12063-022-00258-8

Cited by 16 publications

(7 citation statements)

References 34 publications

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“…Secondly, from the supply chain network perspective, this paper supplements the influence factors of carbon neutral announcements on the stock market. Prior studies only study the level of a single enterprise, ignoring the influence of supply chain network (Cera et al, 2020;Quan et al, 2022). 75% of carbon emissions are generated in the supply chain (Blanco, 2021).…”

Section: Carbon Neutral Announcements and Stock Marketmentioning

confidence: 99%

“…Thirdly, our research enriches the impact of carbon neutrality on the stock market. When considering the factors that may affect the market's reaction to carbon neutral announcements, previous studies only study from the level of a single enterprise (Cera et al, 2020;Quan et al, 2022) and do not collect information from the perspective of supply chain network to consider factors. This study considers the effects of supply chain network resilience, relationship strength and heterogeneity on the market response to announcements.…”

Section: Conclusion and Future Research 61 Conclusionmentioning

confidence: 99%

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Carbon neutral announcements and Chinese stock market reaction: a supply chain network-based perspective

Liu,

Chen,

Choi

et al. 2023

IJOPM

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PurposeThis study aims to explore the impact of carbon neutral announcements on “stock market value” of publicly listed companies in China.Design/methodology/approachThe event study approach is adopted. Market, market-adjusted, Carhart four-factor model and a cross-sectional regression model are employed to examine the impacts of carbon neutral announcements on “stock market value” of Chinese companies based on data from 188 carbon neutral announcements.FindingsCarbon neutral announcements positively impact Chinese shareholder value. Carbon neutral announcements at the strategic level have a more positive and significant impact on Chinese stock market value. Innovative carbon neutral announcements do not significantly cause Chinese stock market reactions. Companies have more positive and significant stock market reactions when the companies make carbon neutral announcements that reflect high supply chain network resilience and heterogeneity and strong supply chain network relationships.Practical implicationsThe findings uncover the business value of carbon neutral activities and provide operations managers in developing countries insights into how to improve enterprises' market value by actively implementing carbon neutral activities.Originality/valueThis paper is the first trial to apply an event study to examine the relationship between carbon neutral announcements and Chinese stock market value from the perspective of announcement level and type and supply chain networks. This paper introduces corporate reputation theory and enriches the application of corporate reputation theory in the field of low-carbon environmental protections and supply chains.

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Section: Carbon Neutral Announcements and Stock Marketmentioning

confidence: 99%

Section: Conclusion and Future Research 61 Conclusionmentioning

confidence: 99%

Carbon neutral announcements and Chinese stock market reaction: a supply chain network-based perspective

Liu,

Chen,

Choi

et al. 2023

IJOPM

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“…DEA can be used to measure the relative efficiency performance of decision-making units that involve many inputs and numerous outputs. As a result, it has been widely used in many different fields for efficiency measurement, including healthcare (De Jorge-Moreno & Martin Meana (2022); logistics (Quan et al (2022); manufacturing (Im, C. H., & Cho (2021); finance (Kwon & Lee (2015)), etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Analysis of Hospitals Departments by Using Data Envelopment Analysis

Al-Musaed,

Al-Neamah,

Kizilaslan

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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This study uses the Data Envelopment Analysis method to examine the health sector's performance efficiency. The study measures the efficiency of three departments of 6 public and 5 private hospitals in Kuwait i health sector. Data Envelopment Analysis (DEA) method with Constant return to Scale (CRS), Variable return to Scale (VRS), and scale efficiency were used to estimate public and private hospitals' technical and managerial efficiency regarding staff, doctors, health services, and the number of patients indicators.

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“…DEA, as a data-driven method to provide efficiency measurement and benchmark, has been widely applied in various fields for efficiency analysis [44][45][46]. The commonly used DEA models include CCR, BCC, and DEA-Malmquist models [47]. Among them, the Malmquist production index can be employed to evaluate the dynamic efficiency change of decisionmaking units (DMUs) in continuous time [48].…”

Section: Patent-based Evaluation Of Technological Superioritymentioning

confidence: 99%

Identifying Promising Technologies of Electric Vehicles from the Perspective of Market and Technical Attributes

et al. 2022

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The vigorous development of electric vehicles (EVs) can promote the green and low-carbon development of society and the environment. However, the research and development of EVs technology in China started late, and there are some problems such as relatively backward technology. In order to promote the decarbonization process of transportation systems, there is an urgent need for appropriate methods to identify promising technologies in the EVs field to guide the efficient development of innovation activities. This study proposes a novel approach to integrate the perspective of market and technical attributes to identify promising EVs technologies. Firstly, text mining tools are applied to extract review and technical keywords from online reviews and patents, and technical topics are summarized. Secondly, sentiment analysis is conducted to calculate user satisfaction based on online reviews, and then market demand of technical topics is obtained. Thirdly, social network centrality analysis, DEA–Malmquist model, and CRITIC method are employed to obtain technical features of technical topics based on patents. Finally, a portfolio map is constructed to analyze technical topics and identify promising EVs technologies. As the main driving force for the development and transformation of the automotive industry, the efficient identification of promising technologies in this field can provide strategic decision support for the development of EVs. This study aims to provide objective data and scientific guidance for related enterprises to carry out technological innovation activities.

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Comprehensive efficiency evaluation of social responsibility of Chinese listed logistics enterprises based on DEA-Malmquist model

Cited by 16 publications

References 34 publications

Carbon neutral announcements and Chinese stock market reaction: a supply chain network-based perspective

Carbon neutral announcements and Chinese stock market reaction: a supply chain network-based perspective

Performance Analysis of Hospitals Departments by Using Data Envelopment Analysis

Identifying Promising Technologies of Electric Vehicles from the Perspective of Market and Technical Attributes

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