Industrial Carbon Emissions of China’s Regions: A Spatial Econometric Analysis
| العنوان: | Industrial Carbon Emissions of China’s Regions: A Spatial Econometric Analysis |
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| المؤلفون: | Ning Zhang, Yu Liu, Hongwei Xiao |
| المصدر: | Sustainability, Vol 8, Iss 3, p 210 (2016) Sustainability; Volume 8; Issue 3; Pages: 210 |
| بيانات النشر: | MDPI AG, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Natural resource economics, 020209 energy, Geography, Planning and Development, Population, chemistry.chemical_element, TJ807-830, 02 engineering and technology, 010501 environmental sciences, Management, Monitoring, Policy and Law, TD194-195, 01 natural sciences, Renewable energy sources, Spillover effect, 0202 electrical engineering, electronic engineering, information engineering, Openness to experience, GE1-350, geographically and temporally weighted regression, education, 0105 earth and related environmental sciences, Driving factors, education.field_of_study, Environmental effects of industries and plants, Renewable Energy, Sustainability and the Environment, Environmental engineering, spatial Durbin panel data model, Environmental sciences, chemistry, Greenhouse gas, Energy intensity, industrial carbon emissions, spatial spillover effects, Environmental science, Unit-weighted regression, Carbon |
| الوصف: | This paper proposes an extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model to investigate the factors driving industrial carbon emissions in China. In the first stage, a spatial Durbin model is applied to investigate the determinants of regional industrial carbon emissions. In the second stage, a geographically and temporally weighted regression is applied to investigate temporal and spatial variations in the impacts of these driving factors on the scale and intensity of regional industrial carbon emissions. The empirical results suggest that the provinces with low carbon emissions act as exemplars for those with high carbon emissions and that driving factors impact carbon emission both directly and indirectly. All of the factors were investigated, except energy intensity, energy price, and openness, significantly impact carbon emissions. Overall, the results suggest that spatial correlation, heterogeneity, and spillover effects should be taken into account when formulating policies aiming at reducing industrial carbon emissions. The paper concludes with relevant policy recommendations taking full account of the regional industrial carbon emissions, heterogeneity and spillover. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2071-1050 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd6b1c94da6ada86b93c81da501dae60Test http://www.mdpi.com/2071-1050/8/3/210Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....cd6b1c94da6ada86b93c81da501dae60 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20711050 |
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