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 | |
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. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
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. |