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作者:

Zeng, Shihong (Zeng, Shihong.) | Tanveer, Arifa (Tanveer, Arifa.) | Fu, Xiaolan (Fu, Xiaolan.) | Gu, Yuxiao (Gu, Yuxiao.) | Irfan, Muhammad (Irfan, Muhammad.)

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摘要:

Green energy technologies (GETs) are environmentally friendly in nature, making a promising contribution to attaining net-zero carbon goals. Although the Pakistani government has begun using GETs to minimize the adverse effects of carbon emissions, consumers' adoption rate is quite low. There are few studies examining consumers' desire to adopt GETs in the country. This study attempts to fill this research gap and also contributes by adding three novel factors to the theory of planned behavior (i.e., green energy technology awareness, openness to experience, and green energy technology discomfort) to comprehensively analyze the impact of various factors influencing consumers' desire to adopt GETs. For this purpose, the study establishes a systematic research framework. Data were collected from (n = 330) households in the five major cities (Peshawar, Abbottabad, Mardan, Mingora, and Swabi) of Khyber Pakhtunkhwa Province via an inclusive questionnaire survey. The formulated hypotheses are evaluated and scrutinized using structural equation modeling. The results reveal that environmental concern (8 = 0.245), green energy technology awareness (8 = 0.362), openness to experience (beta = 0.256), and green energy technology benefits (beta = 0.225) positively affect consumers' desire to adopt GETs. On the other hand, green energy technology costs (8 = 0.325) and green energy technology discomfort (8 = 0.395) have a negative effect on consumers' adoption of GETs. The research findings emphasize the importance of increasing recognition of GETs, reforming policy frameworks, and providing budget-friendly and user-friendly technologies. Research limitations and future research perspectives are also addressed.

关键词:

Consumer desire Green energy technologies Structural equation modeling Theory of planned behavior

作者机构:

  • [ 1 ] [Zeng, Shihong]Beijing Univ Technol, Coll Econ & Management, Appl Econ Dept, Beijing 100124, Peoples R China
  • [ 2 ] [Tanveer, Arifa]Beijing Univ Technol, Coll Econ & Management, Appl Econ Dept, Beijing 100124, Peoples R China
  • [ 3 ] [Gu, Yuxiao]Beijing Univ Technol, Coll Econ & Management, Appl Econ Dept, Beijing 100124, Peoples R China
  • [ 4 ] [Zeng, Shihong]Univ Kitakyushu, Fac Environm Engn, Kitakyushu 8080135, Japan
  • [ 5 ] [Zeng, Shihong]Beijing Univ Technol, Beijing Modern Mfg Dev Res Base Beijing Philosophy, Beijing 100124, Peoples R China
  • [ 6 ] [Fu, Xiaolan]Univ Oxford, Dept Int Dev, Oxford, England
  • [ 7 ] [Irfan, Muhammad]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
  • [ 8 ] [Irfan, Muhammad]Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
  • [ 9 ] [Irfan, Muhammad]Ilma Univ, Sch Business Adm, Karachi 75190, Pakistan

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来源 :

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

ISSN: 1364-0321

年份: 2022

卷: 168

1 5 . 9

JCR@2022

1 5 . 9 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:49

JCR分区:1

中科院分区:1

被引次数:

WoS核心集被引频次: 70

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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