Evidence map›Paper›PMID 36554306›Full record

ArticleInternational journal of environmental research and public health2022

The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China.

Kerong Zhang, Liangyu Jiang, Yanzhi Jin, Wuyi Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kerong ZhangSchool of Business, Fuyang Normal University, Fuyang 236037, China.ORCID 0000-0002-4298-308X
Liangyu JiangSchool of Business, Fuyang Normal University, Fuyang 236037, China.
Yanzhi JinSchool of Business, Fuyang Normal University, Fuyang 236037, China.
Wuyi LiuSchool of Biological Science and Food Engineering, Fuyang Normal University, Fuyang 236037, China.ORCID 0000-0002-3174-6492

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global warming and world-wide climate change caused by increasing carbon emissions have attracted a widespread public attention, while anthropogenic activities account for most of these problems generated in the social economy. In order to comprehensively measure the levels of carbon emissions and carbon sinks in Anhui Province, the study adopted some specific carbon accounting methods to analyze and explore datasets from the following suggested five carbon emission sources of energy consumption, food consumption, cultivated land, ruminants and waste, and three carbon sink sources of forest, grassland and crops to compile the carbon emission inventory in Anhui Province. Based on the compiled carbon emission inventory, carbon emissions and carbon sink capacity were calculated from 2000 to 2019 in Anhui Province, China. Combined with ridge regression and scenario analysis, the STIRPAT model was used to evaluate and predict the regional carbon emission from 2020 to 2040 to explore the provincial low-carbon development pathways, and carbon emissions of various industrial sectors were systematically compared and analyzed. Results showed that carbon emissions increased rapidly from 2000 to 2019 and regional energy consumption was the primary source of carbon emissions in Anhui Province. There were significant differences found in the increasing carbon emissions among various industries. The consumption proportion of coal in the provincial energy consumption continued to decline, while the consumption of oil and electricity proceeded to increase. Furthermore, there were significant differences among different urban and rural energy structures, and the carbon emissions from waste incineration were increasing. Additionally, there is an inverted "U"-shape curve of correlation between carbon emission and economic development in line with the environmental Kuznets curve, whereas it indicated a "positive U"-shaped curve of correlation between carbon emission and urbanization rate. The local government should strengthen environmental governance, actively promote industrial transformation, and increase the proportion of clean energy in the energy production and consumption structures in Anhui Province. These also suggested a great potential of emission reduction with carbon sink in Anhui Province.

Indexed as

CarbonConservation of Natural ResourcesCarbon DioxideChinaEconomic DevelopmentEnvironmental PolicyGlobal WarmingCarbonCarbon Dioxidecarbon emissioncarbon emission inventoryemission reductionenvironmental Kuznets curveridge regressionscenario analysisscenario predictionSTIRPAT model

Identifiers

PMID36554306
PMCPMC9778387

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.