مقاله انگلیسی رایگان در مورد نقش واسطه تعبیه شبکه اجتماعی – الزویر 2019

 

مشخصات مقاله
ترجمه عنوان مقاله تجزیه و تحلیل نقش واسطه تعبیه شبکه اجتماعی بر رفتار خانواده ای دارای کربن کم: شواهدی از چین
عنوان انگلیسی مقاله Analysis of the mediating role of social network embeddedness on low-carbon household behaviour: Evidence from China
انتشار مقاله سال 2019
تعداد صفحات مقاله انگلیسی 9 صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس میباشد
نمایه (index) Scopus – Master Journals List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
7.096 در سال 2018
شاخص H_index 150  در سال 2019
شاخص SJR 1.620 در سال 2018
شناسه ISSN 0959-6526
شاخص Quartile (چارک) Q1 در سال 2018
مدل مفهومی دارد
پرسشنامه دارد
متغیر دارد
رفرنس دارد
رشته های مرتبط مهندسی محیط زیست
گرایش های مرتبط آلودگی های محیط زیست
نوع ارائه مقاله
ژورنال
مجله / کنفرانس مجله تولید پاک – Journal of Cleaner Production
دانشگاه  Business School, University of International Business and Economics, Beijing, 100029, China
کلمات کلیدی تعبیه شبکه اجتماعی، رفتار خانواده ای دارای کربن کم، آزمون واسطه، مدل معادلات ساختاری، تجزیه و تحلیل چند گروهی
کلمات کلیدی انگلیسی Social network embeddedness، Low-carbon household behaviours، Mediating test، Structural equation model، Multi-group analysis
شناسه دیجیتال – doi
https://doi.org/10.1016/j.jclepro.2019.06.274
کد محصول  E13111
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
Abbreviations
1. Introduction
2. Literature review
3. Theoretical models and research hypotheses
4. Scale design and data collection
5. Empirical results and analysis
6. Conclusions and implications
Acknowledgements
Appendix A. Supplementary data
Research Data
References

 

بخشی از متن مقاله:
Abstract

Based on Social Network Theory and the Planned Behaviour Theory, this paper adopts a multi-group analysis of structural equation model and uses the low-carbon behavioural intention as a mediator to analyse the role of social network embeddedness in influencing residents’ low-carbon household behaviours. Based on the reliability test of the scale and the first-order confirmatory factor analysis, the direct and mediating effect dual models are used to verify the proposed research hypothesis; furthermore, based on demographic and family characteristics, a multi-group structural equation model analysis is conducted. The empirical results show that social network embeddedness will significantly improve residents’ low-carbon household behaviours and reduce household carbon emissions. Social networks will embed residents’ low-carbon household behaviours through direct effects and incomplete mediation of low-carbon behavioural intentions as mediators. Multi-group analysis result shows that female and highly-educated groups exhibited better low-carbon household behaviours, and different family scales, monthly incomes and consumption, housing size, and living area show significant influences on low-carbon household behaviours.

Introduction

Increasing greenhouse gas emissions have led to an increase in global average temperatures, which have resulted in melting ice sheets, ozone holes, extreme weather, drought, desertification, and rising sea levels. Therefore, global climate change caused by greenhouse gas emissions has become one of the major threats to sustainable development in the world today (Kahn, 2009; Geng, 2018). It is estimated that five million people worldwide die every year from air pollution, famine, and disease caused by climate change and excessive carbon emissions (Chinese Academy of Sciences Sustainable Development Strategy Research Group, 2009; Guo, 2018). The increase in greenhouse gas emissions from human activities, especially the increase in CO2 emissions, is the main cause of climate warming. Therefore, the development of a low-carbon economy and a low-carbon society has become the basic consensus among humankind to cope with global warming (IPCC, 2013; Zhang, 2018). China’s nominal carbon emissions have surpassed those of the USA, ranking first in the world, and China is under pressure to reduce her emissions from the international community (Wang and He, 2011). Wei et al. (2007) assessed the carbon emissions of urban and rural residents in China from 1999 to 2002 and found that 30% of all carbon emissions come from residents’ daily consumption patterns and lifestyles.

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