Forecasting Carbon Emissions with Dynamic Model Averaging Approach: Time-Varying Evidence from China
المؤلفون المشاركون
Xu, Siqi
Zhang, Yifeng
Chen, Xiaodan
المصدر
Discrete Dynamics in Nature and Society
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-28
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Although energy-related factors, such as energy intensity and energy consumption, are well recognized as major drivers of carbon dioxide emission in China, little is known about the time-varying impacts of other macrolevel nonenergy factors on carbon emission, especially those from macroeconomic, financial, household, and technology progress indicators in China.
This paper contributes to the literature by investigating the time-varying predictive ability of 15 macrolevel indicators for China’s carbon dioxide emission from 1982 to 2017 with a dynamic model averaging (DMA) method.
The empirical results show that, firstly, the explanatory power of each nonenergy predictor changes significantly with time and no predictor has a stable positive/negative impact on China’s carbon emissions throughout the whole sample period.
Secondly, all these predictors present a distinct predictive ability for carbon emission in China.
The proportion of industry production in GDP (IP) shows the greatest predictive power, while the proportion of FDI in GDP has the smallest forecasting ability.
Interestingly, those Chinese household features, such as Engel’s coefficient and household savings rate, play very important roles in the prediction of China’s carbon emission.
In addition, we find that IP are losing its predictive power in recent years, while the proportion of value-added of the service sector in GDP presents not only a leading forecasting weight, but a continuous increasing prediction power in recent years.
Finally, the dynamic model averaging (DMA) method can produce the most accurate forecasts of carbon emission in China compared to other commonly used forecasting methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xu, Siqi& Zhang, Yifeng& Chen, Xiaodan. 2020. Forecasting Carbon Emissions with Dynamic Model Averaging Approach: Time-Varying Evidence from China. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1153542
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xu, Siqi…[et al.]. Forecasting Carbon Emissions with Dynamic Model Averaging Approach: Time-Varying Evidence from China. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1153542
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xu, Siqi& Zhang, Yifeng& Chen, Xiaodan. Forecasting Carbon Emissions with Dynamic Model Averaging Approach: Time-Varying Evidence from China. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1153542
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1153542
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر