Journal
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS
Volume 158, Issue -, Pages 4011-4016Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.egypro.2019.01.839
Keywords
Energy Consumption; Air Pollution; Economic Growth; Dynamic Spatial Durbin Model
Categories
Funding
- National Key R&D Program of China-Air Pollution Cause and Control Technology Research [2016YFC0209204]
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By constructing a dynamic spatial Durbin model based on C-D production function that includes energy consumption and air pollution, this paper explains the driving factors of urban economic output in the 2+26 cities of Beijing-Tianjin-Hebei and its surrounding areas during 2006-2015. The result shows the significant spatial autocorrelation of energy consumption and air pollution in the 2+26 cities. The increase in economic output of neighbouring cities will bring about economic radiation and promote the economic output of the city, which provides strong evidence for the necessity of joint prevention and control policy. Further considering effects of the inputs of neighbouring cities, the paper fmds that the driving force of economic increase mainly came from the capital and energy input of the city itself, as well as the air pollution dividends of neighbouring cities. Therefore, Beijing-Tianjin-Hebei and its surrounding areas should make the best of the resource advantages of neighbouring cities to achieve complementarily and coordinated development. Governments should construct comprehensive cross-city air pollution prevention mechanism, such as regional air pollution compensation mechanism and fund for air pollution joint control. (C) 2019 The Authors. Published by Elsevier Ltd.
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