About: Synthetic Evaluation of China’s Regional Low-Carbon Economy Challenges by Driver-Pressure-State-Impact-Response Model

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Synthetic Evaluation of China’s Regional Low-Carbon Economy Challenges by Driver-Pressure-State-Impact-Response Model Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Synthetic Evaluation of China’s Regional Low-Carbon Economy Challenges by Driver-Pressure-State-Impact-Response Model
Creator	Hassan, Waseem Pan, Wenyan Awais Gulzar, Muhammad
Source	Medline; PMC
abstract	The “driver–pressure–state–impact–response” (DPSIR) model has recently become a popular approach to deal with environmental problems. The combination of DPSIR with analytic hierarchy process (AHP) is a useful method to study low-carbon evaluation because the AHP model has a special advantage in multi-indexes evaluation. This paper constructs the low-carbon economy evaluation system and comprehensively evaluates the numerical value of low-carbon economic development of China’s 30 regions from 2000 to 2015 by using the AHP method. It shows that the numerical value of low-carbon economy of China’s 30 regions varies in terms of growth rate. The numerical value of east regional low-carbon economy shows a pattern that is gradually higher than that of the west region. The numerical value of low carbon economic development in the south region is higher than that of the north region by degrees. In addition, based on the model of coordination degree in 2015, the result indicated that the four subsystems have primary coordination in the east area and bare coordination in the central and west areas. It is indicated that the four sub-indexes should be developed at the same pace and promoting the development of a low-carbon economy in the mid-west areas is the key in China. Finally, we proposed that environmental regulations and policies should be formulated to improve coordination in various aspects and various departments. Calculating the degree of low-carbon economic coupling coordination may be helpful for policy makers to formulate effective policies and take actions in the future.
has issue date	2020-07-29(xsd:dateTime)
bibo:doi	10.3390/ijerph17155463
bibo:pmid	32751191
has license	cc-by
sha1sum (hex)	1783d4ee6ecc07671c23c284d4171318d31864a0
schema:url	https://doi.org/10.3390/ijerph17155463
resource representing a document's title	Synthetic Evaluation of China’s Regional Low-Carbon Economy Challenges by Driver-Pressure-State-Impact-Response Model
has PubMed Central identifier	PMC7432112
has PubMed identifier	32751191
schema:publication	Int J Environ Res Public Health
resource representing a document's body	covid:1783d4ee6ecc07671c23c284d4171318d31864a0#body_text
is schema:about of	named entity 'ECONOMIC' named entity 'CALCULATING' named entity 'HIERARCHY' named entity 'PRIMARY' named entity 'HAVE' named entity 'low-carbon economy' named entity 'low-carbon economy' named entity 'policy makers' named entity 'DPSIR' named entity 'coal' named entity 'Beijing' named entity 'Figure 8' named entity 'coastal areas' named entity 'low-carbon economy' named entity 'China' named entity 'reform and opening' named entity 'environment, energy' named entity 'developed economy' named entity 'China' named entity 'China' named entity 'GDP' named entity 'Carbon' named entity 'low-carbon economy' named entity 'energy consumption' named entity 'coal' named entity 'carbon' named entity 'DPSIR' named entity 'GDP' named entity 'composite index' named entity 'Shanghai' named entity 'Growth rate' named entity 'eigenvalue' named entity 'composite index' named entity 'carbon emissions' named entity 'Beijing' named entity 'natural hazard' named entity 'carbon' named entity 'Beijing' named entity 'developed countries' named entity 'human activities' named entity 'low-carbon economy' named entity 'industrialization' named entity 'low-carbon economy' named entity 'Beijing' named entity 'IPCC' named entity 'carbonization' named entity 'low-carbon economy' named entity 'cluster analysis' named entity 'developed economy' named entity 'critical period' named entity 'China' named entity 'low-carbon economy' named entity 'current literature' named entity 'China' named entity 'social welfare' named entity 'Urbanization rate' named entity 'coastal areas' named entity 'low-carbon economy' named entity 'Fujian' named entity 'carbon emissions' named entity 'natural gas' named entity 'liquefied petroleum gas' named entity 'economic growth' named entity 'low-carbon economy' named entity 'sustainable development' named entity 'energy consumption' named entity 'Ningxia' named entity 'economic development' named entity 'China' named entity 'GDP' named entity 'low-carbon' named entity 'DPSIR' named entity 'environmental conditions' named entity 'DPSIR' named entity 'driving force' named entity 'economic development' named entity 'economic development' named entity 'Inner Mongolia' named entity 'low-carbon economy'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software