Influencing factors and mechanisms of the green transformation of consumption: based on text mining and grounded theory.

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Title: Influencing factors and mechanisms of the green transformation of consumption: based on text mining and grounded theory.
Authors: Yu, Weiping1 (AUTHOR), Liao, Xin1 (AUTHOR) liaoxin1@stu.scu.edu.cn, Ji, Siyu1 (AUTHOR), Si, Dongyang2 (AUTHOR)
Source: Environment, Development & Sustainability. Jun2026, Vol. 28 Issue 6, p13933-13969. 37p.
Subject Terms: *Grounded theory, *Text mining, *Incentive (Psychology), *Social influence, *Consumption (Economics), *Sustainable development, *Social media, *Consumer behavior
Geographic Terms: China
Abstract: Promoting the green transformation of consumption (GTC) from the multiple areas and phases of consumption has become a focus issue for governments and enterprises. However, few studies have used social media data to study the influencing factors and mechanisms of GTC systematically. This paper combines the perspectives of five consumption areas (food, housing, transportation, products, and tourism) and three consumption phases (purchase, use, and disposal) by collecting 2,506 blog posts on the Sina Microblog involving GTC in China and applies grounded theory for qualitative analysis. Results show that (i) external drivers (policy incentives, marketing incentives, and social nudges), internal drivers (egoistic motivations and altruistic motivations), external impediments (product factor barriers and cultural factor constraints), and internal impediments (mental awareness barriers, individual capacity dilemmas and perceived risk constraints) were the four key factors influencing GTC. (ii) The dimensions of the driving factors are independent of each other, affecting GTC individually and interacting in the process of co-driving. (iii) There is a recursive logic of internal hindering factors, and external hindering factors play a moderating role in the hindering path. This paper proposes the influencing factor model of GTC to explain the driving factors and hindering factors and provides essential reference value and practical inspiration for enterprises and governments to promote GTC. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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An: 194093177
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  Data: Influencing factors and mechanisms of the green transformation of consumption: based on text mining and grounded theory.
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  Data: <searchLink fieldCode="AR" term="%22Yu%2C+Weiping%22">Yu, Weiping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liao%2C+Xin%22">Liao, Xin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liaoxin1@stu.scu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ji%2C+Siyu%22">Ji, Siyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Si%2C+Dongyang%22">Si, Dongyang</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Jun2026, Vol. 28 Issue 6, p13933-13969. 37p.
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  Data: *<searchLink fieldCode="DE" term="%22Grounded+theory%22">Grounded theory</searchLink><br />*<searchLink fieldCode="DE" term="%22Text+mining%22">Text mining</searchLink><br />*<searchLink fieldCode="DE" term="%22Incentive+%28Psychology%29%22">Incentive (Psychology)</searchLink><br />*<searchLink fieldCode="DE" term="%22Social+influence%22">Social influence</searchLink><br />*<searchLink fieldCode="DE" term="%22Consumption+%28Economics%29%22">Consumption (Economics)</searchLink><br />*<searchLink fieldCode="DE" term="%22Sustainable+development%22">Sustainable development</searchLink><br />*<searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br />*<searchLink fieldCode="DE" term="%22Consumer+behavior%22">Consumer behavior</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Promoting the green transformation of consumption (GTC) from the multiple areas and phases of consumption has become a focus issue for governments and enterprises. However, few studies have used social media data to study the influencing factors and mechanisms of GTC systematically. This paper combines the perspectives of five consumption areas (food, housing, transportation, products, and tourism) and three consumption phases (purchase, use, and disposal) by collecting 2,506 blog posts on the Sina Microblog involving GTC in China and applies grounded theory for qualitative analysis. Results show that (i) external drivers (policy incentives, marketing incentives, and social nudges), internal drivers (egoistic motivations and altruistic motivations), external impediments (product factor barriers and cultural factor constraints), and internal impediments (mental awareness barriers, individual capacity dilemmas and perceived risk constraints) were the four key factors influencing GTC. (ii) The dimensions of the driving factors are independent of each other, affecting GTC individually and interacting in the process of co-driving. (iii) There is a recursive logic of internal hindering factors, and external hindering factors play a moderating role in the hindering path. This paper proposes the influencing factor model of GTC to explain the driving factors and hindering factors and provides essential reference value and practical inspiration for enterprises and governments to promote GTC. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10668-024-05519-z
    Languages:
      – Code: eng
        Text: English
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        PageCount: 37
        StartPage: 13933
    Subjects:
      – SubjectFull: Grounded theory
        Type: general
      – SubjectFull: Text mining
        Type: general
      – SubjectFull: Incentive (Psychology)
        Type: general
      – SubjectFull: Social influence
        Type: general
      – SubjectFull: Consumption (Economics)
        Type: general
      – SubjectFull: Sustainable development
        Type: general
      – SubjectFull: Social media
        Type: general
      – SubjectFull: Consumer behavior
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Influencing factors and mechanisms of the green transformation of consumption: based on text mining and grounded theory.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Yu, Weiping
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          Name:
            NameFull: Liao, Xin
      – PersonEntity:
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            NameFull: Ji, Siyu
      – PersonEntity:
          Name:
            NameFull: Si, Dongyang
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 6
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            – TitleFull: Environment, Development & Sustainability
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