Next Article in Journal
Beyond Wastescapes: Towards Circular Landscapes. Addressing the Spatial Dimension of Circularity through the Regeneration of Wastescapes
Previous Article in Journal
Warranty Decision Model and Remanufacturing Coordination Mechanism in Closed-Loop Supply Chain: View from a Consumer Behavior Perspective
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Sustainability 2018, 10(12), 4739;

Spatial Spillover and the Influencing Factors Relating to Provincial Carbon Emissions in China Based on the Spatial Panel Data Model

School of Economics, Central University of Finance and Economics, Beijing 100081, China
School of Business Administration, Northeastern University, Shenyang 110819, China
College of Science and Technology, Shenyang Polytechnic College, Shenyang 110021, China
Department of Engineering Technology, Dalian Maple Leaf College of Technology, Dalian 116036, China
Author to whom correspondence should be addressed.
Received: 20 September 2018 / Revised: 18 November 2018 / Accepted: 5 December 2018 / Published: 12 December 2018
PDF [1368 KB, uploaded 12 December 2018]


From the perspective of spatial geography, this paper verifies the spatial dependence of China’s provincial carbon emissions. The contribution of impact factors with different fields of view to carbon emissions’ growth is estimated based on the spatial panel data model, t. The study found that during 2000–2015, China’s energy-related carbon emissions in the provinces were dependent on the spatial, and the spatial spillover effect of carbon emissions and its influencing factors in the neighboring provinces are obvious. It was also found that economic growth, industrial structure, financial development, and urbanization rates are positive, and the effect of the population and technological progress on reducing carbon emissions is significant. The effect of source price, export dependence, and fiscal decentralization on carbon emissions’ growth did not pass a significance test. In the formulation of carbon emission-related policies and development plans, the government must consider the effect of the influencing factors affecting the carbon emissions in the adjacent area and combine the carbon emissions and spatial spillover effect of the related factors in order to reduce carbon emissions in the time dimension and the spatial dimension of China as a whole. View Full-Text
Keywords: carbon emissions; space spillovers; influencing factors carbon emissions; space spillovers; influencing factors

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Tong, X.; Li, X.; Tong, L.; Jiang, X. Spatial Spillover and the Influencing Factors Relating to Provincial Carbon Emissions in China Based on the Spatial Panel Data Model. Sustainability 2018, 10, 4739.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top