Investigating the eco-efficiency of China's textile industry based on a firm-level analysis

Gai, Yuxin; Qiao, Yuanbo; Deng, Huijing; Wang, Yutao

doi:10.1016/j.scitotenv.2022.155075

Cited by 17 publications

(7 citation statements)

References 77 publications

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“…Moreover, China is the largest importer of both N and P water pollutants, indicating that it experiences mass pollution problems caused by the final demand of the RCEP member countries during trade (Chen et al, 2021) (Gai et al, 2022;Li, Ren, et al, 2021), which results in the net inflow of virtual water and net water pollution (Chen et al, 2018). However, the development of these industries is not conducive to China's water security (Liu et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

“…However, considering China's existing water resource environment pressure, industrial development patterns are classified according to water consumption and pollution features. The results show that sectors featuring low ecological performance, including the textile and clothing industry (R5) and other manufacturing industries (R11), are water‐intensive industries with low eco‐efficiency (Gai et al, 2022; Li, Ren, et al, 2021), which results in the net inflow of virtual water and net water pollution (Chen et al, 2018). However, the development of these industries is not conducive to China's water security (Liu et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

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Unravelling Chinese industrial structure optimization paths within Regional Comprehensive Economic Partnership considering the virtual trade of water and water pollutants

Shu

Shao

Xiang

et al. 2023

Water & Environment J

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Massive commodity transactions lead to enormous virtual water and water pollution transfer; this phenomenon will be intensified within the process of Regional Comprehensive Economic Partnership (RCEP) enforcement. This study applied multi‐regional input–output and scenario simulation approach to reveal the virtual water elements flow, while exploring the trade structure optimisation roadmap for China. Results unveiled that China was a virtual water net exporter (9.17 billion tons), also the largest importer of water pollutants (N 622456 tons and P 136110 tons) among RCEP countries in 2015. In order to alleviate the water pressure in China, the textiles and other manufacturing industries should be limited, while the service industry is encouraged. Optimal scenario can realize 29.8% water conservation and 8% water pollutants reduction and also achieve a 36.5 million dollars trade volume increase. This research improves trade‐off balance between water environment and economy at multi‐regional level and accelerates green trade in economic partnerships globally.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Unravelling Chinese industrial structure optimization paths within Regional Comprehensive Economic Partnership considering the virtual trade of water and water pollutants

Shu

Shao

Xiang

et al. 2023

Water & Environment J

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“…ORGI is essential for an organization to achieve its sustainability goals because cultural, structural and technological support is essential to adopting and implementing green innovations (Gai et al , 2022; Guan et al , 2023). Following RBV, ORGI provides the initial resources and foundation for pursuing sustainability performance (Asadi et al , 2020; Wang, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Galbreath et al (2021) suggested that there is a need for more industry-specific research. The textile sector leaves substantial environmental footprints due to resource-intensive processes but exhibits a varying commitment to sustainability (Gai et al , 2022). Compliance with international standards and regulations is essential for market access, and rising consumer awareness has driven many firms to adopt eco-friendly practices; however, there is a limited focus on how the textile industry can effectively embrace green innovation and improve sustainability performance (Hayat et al , 2020; Chourasiya et al , 2023).…”

Section: Introductionmentioning

confidence: 99%

How organizational readiness for green innovation, green innovation performance and knowledge integration affects sustainability performance of exporting firms

Ullah,

Ahmad,

Kukreti

et al. 2024

JABS

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Purpose Consumers and businesses are becoming increasingly conscious of sustainable business practices and are often willing to pay a premium for responsibly sourced and manufactured products. Many countries and organizations have implemented regulations and standards for sustainability and companies face penalties or are barred from exporting for not meeting the requirements. Rooted in the resource-based view theory, this study aims to test a moderated mediation model to improve the sustainability performance of exporting firms. Design/methodology/approach Textile firms generating more than 25% of export revenues were targeted for this research. The data collected from 245 middle management-level employees were tested for reliability and validity. The structural equation modelling in AMOS 26 was used to test hypotheses. Findings Organizational readiness for green innovation (ORGI) has a direct positive effect on sustainability performance. The mediation analysis implies that ORGI translates into sustainability performance through improvement in green innovation performance. The moderating effect of knowledge integration highlights the importance of being prepared internally and actively seeking and incorporating external knowledge to improve green innovation performance. Originality/value The findings offer a solid foundation for informed decision-making, policy development and strategies to improve sustainability performance while aligning with the global nature of the textile industry and its inherent challenges. The proposed model and practical implications guide policymakers and managers of exporting firms to foster a culture of green innovation to leverage the effect of their readiness for green innovation on sustainability performance.

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“…Sasongko et al ( 2018) assessed the environmental load of continuous bioenergy production using material and energy balances, greenhouse gas (GHG) emissions, nutrient requirements and water scarcity during the bioenergy production cycle [20]. Significantly, many researchers [21][22][23][24][25] selected influencing factors based on resource consumption (e.g., steel, aluminum, cement, construction glass, wood, concrete, etc. ), environmental pollution (e.g., CO 2 , CO, CH 4 , N 2 O 3 , etc.)…”

Section: Introductionmentioning

confidence: 99%

Application of Gray Relational Analysis in Evaluating the Environmental Loads in Hubei Province, China, During 1995-2019

Peng,

2024

Pol. J. Environ. Stud.

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Fragile ecosystems that are affected by erosion from high pollution environmental loads pose a serious threat to human health and well-being. The evaluation of regional environmental loads has become a major issue for eco-environmental conservation and management. As a key region in central China, Hubei Province relies on ecosystems and the environment, which offer an important foundation for sustainable development and continuous improvements in social productivity. For this study, seven influencing factors were selected, and a correlation degree model was applied to assess Hubei Province's environmental loads during the period from 1995-2019. The results show that the overall environmental loads exhibit a fluctuating decreasing trend in response to economic growth and development actions. Moreover, as eco-environmental pollution problems have been addressed and improved over time, the ecosystem operating status has been gradually optimized. Finally, the paper concludes with a proposal of specific measures designed to mitigate Hubei Province's ecological loading from the perspectives of industrial structure, public awareness and technological innovation.

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Investigating the eco-efficiency of China's textile industry based on a firm-level analysis

Cited by 17 publications

References 77 publications

Unravelling Chinese industrial structure optimization paths within Regional Comprehensive Economic Partnership considering the virtual trade of water and water pollutants

Unravelling Chinese industrial structure optimization paths within Regional Comprehensive Economic Partnership considering the virtual trade of water and water pollutants

How organizational readiness for green innovation, green innovation performance and knowledge integration affects sustainability performance of exporting firms

Application of Gray Relational Analysis in Evaluating the Environmental Loads in Hubei Province, China, During 1995-2019

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