Developing More Insights on Sustainable Consumption in China Based on Q Methodology

Qu, Ying; Li, Mengru; Han, Je-Chin; Guo, Lingling

doi:10.3390/su71014211

Cited by 13 publications

(13 citation statements)

References 38 publications

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“…The Q method does not seek to link perspectives with objective and external variables such as age, job, or income, but to understand the subject's own internal preference framework (Cairns, 2012). Qu et al (2015) used the Q methodology to classify Chinese consumers with similar characteristics into three groups based on their values and attitudes toward sustainable consumption. The sustainable group has strong environmental values.…”

Section: Methodsmentioning

confidence: 99%

Comparing Hungarian and Tunisian Guest Preferences for Sustainable Hotel Attributes

ÁSVÁNYI¹,

CHAKER²

2023

GTG

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The aim of the study is to identify the sustainability attributes of hotels preferred by guests and to compare the preferences of Hungarian and Tunisian hotel guests highlighting the similarities and differences. We used Q method to show which of the hotels’ sustainability practices and attributes identified in the literature are the ones that are preferred by the guests. There were two samples: 15 Hungarian and 15 Tunisian guests. Three group of opinions were formed in both cases. The essential attributes are those that have emerged as a common point in both countries' opinion groups. The elements related to the social sustainability pillar play just a small important role among sustainability practices. It is important for a sustainable hotel not only to be environmentally responsible, but also to be holistically sustainable, so it is worth incorporating social considerations, if not as an essential element. For sustainable thinking hotels, it is worth addressing the issue of sustainability and responsibility at a strategic level.

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Section: Methodsmentioning

confidence: 99%

Comparing Hungarian and Tunisian Guest Preferences for Sustainable Hotel Attributes

ÁSVÁNYI¹,

CHAKER²

2023

GTG

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“…In this study, Q-methodology is applied to categorize experts' perceptions of urban green spaces and PM. Q-methodology was developed by psychologist William Stephenson in 1935 and is generally used as a technique to explore the subjective types of perception of an issue or object [36,37]. It is a way of quantifying qualitative content by applying statistical concepts; it is generally introduced to understand the process through which a phenomenon occurs [38].…”

Section: Q-methodologymentioning

confidence: 99%

“…Recently, Q-methodology has been applied in various ways as a method for policy preparation in environmental fields [40,41]. In particular, conclusions drawn through Q-methodology can inform environmental policy-making by analyzing the ways in which different groups perceive environmental issues [37,42]. The output derived from Q-methodology can be understood as subjective perception, cognitive structure, schema, etc.…”

Section: Q-methodologymentioning

confidence: 99%

Experts’ Perceptions on the Particulate Matter Reduction Effects of Green Open Space

Kim

Han²,

Lee

et al. 2019

Sustainability

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With recent declines in air quality, the significance of urban green spaces and their ecological functions have rapidly increased, especially with regard to the reduction of particulate matter. Various investigations regarding particle reduction in urban green spaces have been conducted; however, specific guidelines to establish empirical data for green spaces and to inform related policies are still lacking. Thus, this study aims to categorize experts’ perceptions of green spaces through Q-methodology and to identify ways to form a consensus, establish policies in the design and construction process, ultimately aiming to enhance particle reduction effects in urban green spaces. As a result, experts’ perceptions were classified into three categories: ‘active support,’ ‘skeptical,’ and ‘passive support’ groups. Experts’ opinions on the particle reduction effects of urban green areas are overarchingly agreed upon; however, the priorities involved and methods used in augmenting green space integration require further analysis and mediation. Additionally, further empirical evidence should be accumulated on the particulate matter reduction effects of urban green areas, including the quantification of particle concentration reduction in urban green spaces and considerations for policy establishment in design and construction.

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“…According to the analysis of the lean life cycle in manufacturing project management, they posited that stakeholders and communications management are two of the knowledge areas that need to integrate the above pressures to achieve cohesive sustainable industrial results. Sustainable consumption behaviors in China were studied by Qu et al [37], and their paper adopted the Q methodology to analyze data of sustainable consumption characteristics by classifying consumers with similar traits. They explained that the results indicate what influence sustainable consumption brought about and provided suggestions on how governments can inspire sustainable consumption.…”

Section: Drivers Of Sustainable Precision Manufacturingmentioning

confidence: 99%

A Two-Step Fuzzy MCDM Method for Implementation of Sustainable Precision Manufacturing: Evidence from China

Guan

Zhao

2022

Sustainability

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Despite that products of precision manufacturing are widely used in many fields involving the national economy, precision manufacturing processes are more unfriendly to the environment, resources and social development than general manufacturing. Hence, the implementation of sustainable precision manufacturing (SPM) is of great strategic significance. There is no literature identifying and ranking the drivers of implementation of SPM and the impact on sustainability owing to the application of advanced manufacturing technologies in SPM has not been explored. To resolve these problems, drivers of SPM are identified based on combined support of prior studies and six groups of experts consisting of 71 individuals from six precision manufacturing enterprises. The drivers are calculated and ranked by a two-step fuzzy MCDM method which integrated the fuzzy AHP (fuzzy analytic hierarchy process) and fuzzy TOPSIS (fuzzy technique for order of preference by similarity to ideal solution) algorithms. The evaluation of drivers is based on the basic principles of sustainable development (environmental criterion, social criterion and economic criterion). The paper concludes that technological innovation, government support and current legislation are the most critical drivers during SPM implementation. Additionally, the result of sensitivity verification of the proposed method conducted proves the robustness and correctness of the algorithm and results.

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Developing More Insights on Sustainable Consumption in China Based on Q Methodology

Cited by 13 publications

References 38 publications

Comparing Hungarian and Tunisian Guest Preferences for Sustainable Hotel Attributes

Comparing Hungarian and Tunisian Guest Preferences for Sustainable Hotel Attributes

Experts’ Perceptions on the Particulate Matter Reduction Effects of Green Open Space

A Two-Step Fuzzy MCDM Method for Implementation of Sustainable Precision Manufacturing: Evidence from China

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