Construction land expansion significantly affects energy-related carbon emissions. This paper analyzed the effect of construction land expansion on energy-related carbon emissions in China and its provinces from 2001 to 2011 by using the logarithmic mean Divisia index method. We divided the study into two intervals (2001–2006 and 2006–2011) and categorized the 30 provinces of China into eight zones. Results indicated that construction land expansion exerted the second largest positive effect on carbon emission growth in China and in the 30 provinces from 2001 to 2011. The north, east, and south coastal regions as well as the middle Yellow River region, were the highly affected regions in the same period. Between the two study intervals, the...
As a pillar industry of the national economy, the construction industry not only promotes urban deve...
China has been the largest contributor to global carbon emissions since 2008, with its building and ...
Based on provincial panel data from 2005 to 2016, this paper analyzes evolving temporal–spatia...
Construction land expansion significantly affects energy-related carbon emissions. This paper analyz...
China is undergoing rapid urbanization, enlarging the construction industry, greatly expanding built...
The production of construction projects is carbon-intensive and interrelated to multiple other indus...
Urban construction land has an increasing impact on ecological carbon storage capacity and carbon em...
China has committed to peaking carbon dioxide emissions by 2030 and has set a goal of working toward...
The world has witnessed unparalleled economic development over the past decades, but accompanied by ...
The construction industry is the backbone of most countries, but its carbon emissions are huge and g...
As the largest ecological background system and basic economic unit in China, counties are of great ...
The Yellow River Basin assumes an important ecological and economic function in China. The study of ...
The Beijing-Tianjin-Hebei (B-T-H) region, who captures the national strategic highland in China, has...
This paper constructed a carbon emission identity based on five factors:industrial activity, industr...
This paper expanded the Logarithmic Mean Divisia Index (LMDI) model through the introduction of urba...
As a pillar industry of the national economy, the construction industry not only promotes urban deve...
China has been the largest contributor to global carbon emissions since 2008, with its building and ...
Based on provincial panel data from 2005 to 2016, this paper analyzes evolving temporal–spatia...
Construction land expansion significantly affects energy-related carbon emissions. This paper analyz...
China is undergoing rapid urbanization, enlarging the construction industry, greatly expanding built...
The production of construction projects is carbon-intensive and interrelated to multiple other indus...
Urban construction land has an increasing impact on ecological carbon storage capacity and carbon em...
China has committed to peaking carbon dioxide emissions by 2030 and has set a goal of working toward...
The world has witnessed unparalleled economic development over the past decades, but accompanied by ...
The construction industry is the backbone of most countries, but its carbon emissions are huge and g...
As the largest ecological background system and basic economic unit in China, counties are of great ...
The Yellow River Basin assumes an important ecological and economic function in China. The study of ...
The Beijing-Tianjin-Hebei (B-T-H) region, who captures the national strategic highland in China, has...
This paper constructed a carbon emission identity based on five factors:industrial activity, industr...
This paper expanded the Logarithmic Mean Divisia Index (LMDI) model through the introduction of urba...
As a pillar industry of the national economy, the construction industry not only promotes urban deve...
China has been the largest contributor to global carbon emissions since 2008, with its building and ...
Based on provincial panel data from 2005 to 2016, this paper analyzes evolving temporal–spatia...