Building Carbon Emissions Echelon Peak Target Setting: Different Building Types, Sources, and Indicators DOI
Qiqi Liu, Yuan Liu, Weiguang Cai

et al.

Published: Jan. 1, 2023

The single-building carbon emissions peak target clearly cannot meet the requirements of more detailed roadmaps, nor can it promote energy saving and emission reduction actions in phases. To address this obstacle, a building setting model is constructed based on principle objective optimization via scenario analysis Monte Carlo simulation. Furthermore, (CEPT) fully refined from multiple dimensions, such as types, sources, indicators. Then, applied to China's sector obtain CEPTs for Chinese buildings under different dimensions develop roadmap. results show that, except direct per unit floor space, which have achieved target, follow pattern echelon peaking with an obvious order priority. In addition, according analysis, should make greater efforts take effective measures achieve 2030 target. CEPT proposed study provides new tool refining important support development phased conservation action plan.

Language: Английский

Harmonizing economies and ecologies: Towards an equitable provincial carbon quota allocation for China’s peak emissions DOI Creative Commons
Zhencheng Xing, Han Ma,

Lan Luo

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: July 26, 2024

Abstract Rational provincial allocation of carbon quotas serves as the foundational premise for attaining China’s peak. Yet, prevailing strategies often overlook holistic integration trade-induced transfers and ecological sequestration, resulting in equity scientific robustness deficiencies. This study addresses these shortcomings by examining historical sources sinks across provinces proposing a novel scheme based on ‘equal consumption-based cumulative per capita net emission’ principle. Our findings reveal significant disparities between provinces, ranging from ‒98 Mt Shanghai to 1016 Sichuan, primarily influenced factors such population size, emissions, sinks. The proposed scheme, integrating considerations sinks, safeguards interests less developed (e.g., Hebei Inner Mongolia) those with valuable ecosystems Yunnan Mongolia). Furthermore, impact is more pronounced than that For instance, inclusion has increased Mongolia’s 238 Mt, compared 125 attributed Considering emissions reduction pressure capacity different combining fair quota nationwide market can achieve cost-effective while ensuring attainment

Language: Английский

Citations

1

Study on Interprovincial Equity and the Decoupling of Carbon Emissions in the Construction Industry—A Case Study in China DOI Creative Commons
Chao Dai, Yuanqiang Tan,

Shuangping Cao

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(7), P. 2200 - 2200

Published: July 17, 2024

Interprovincial disparities in carbon emissions from the construction industry (CECI) are an important challenge for future reductions. Based on CECI data of 30 provinces China 2010 to 2020, interprovincial equity and decoupling were examined this study. The conclusions as follows: (1): main growth regions eastern Bohai Rim region Pearl River Delta region. Heilongjiang basically achieved a peak 2016. (2) three northeastern western high–high low–low aggregation areas, respectively. greatest degree inequality was found provinces. between areas largest, while central smallest. north–south decreased year by year. (3) status Shandong some has significantly worsened, Sichuan, Yunnan, developed been improving. These will contribute improvement regional emission reduction strategies.

Language: Английский

Citations

1

Decomposition of China’s Carbon Emissions Responsibility from the Perspective of Technological Heterogeneity DOI Open Access

Qing Song,

Y.-Q. Xie, Chuanming Yang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(10), P. 3978 - 3978

Published: May 9, 2024

A global agreement has been reached on the reduction in greenhouse gas emissions. Worldwide, countries have implemented measures to tackle carbon emission issues by establishing aggregate targets and decomposing responsibilities. This study aims decompose emissions creating an input–output model that incorporates multivariate factors like energy consumption water consumption, together with a ZSG-DEA (zero-sum data envelopment analysis) considering technological heterogeneity (Tech-ZSG-DEA). Based total predicted using STIRPAT (Stochastic Impacts Regression Population, Affluence, Technology) model, efficiency of 30 provinces China is evaluated according multiple principles. achieved variations population, economy, across different locations. The findings indicate discrepancy between initial allocation highest value 1. traditional overlooks regional disparities may worsen pressures less developed areas. In contrast, Tech-ZSG-DEA which considers diversity, allows more efficient regions help alleviate some burden economic social benefits. There large difference responsibility based decomposition Finally, relevant policy recommendations are provided, such as formulation differentiated inclusively coordinated plans. addition, there also mechanisms for coordinating interests joint prevention among regions.

Language: Английский

Citations

0

Analysis and Short-Term Peak Forecasting of the Driving Factors of Carbon Emissions in the Construction Industry at the Provincial Level in China DOI Creative Commons
Chao Dai, Yuanqiang Tan,

Shuangping Cao

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(16), P. 4101 - 4101

Published: Aug. 18, 2024

The construction industry plays a pivotal role in China’s achievement of its “dual carbon” goals. This study conducts decomposition analysis the carbon emissions from (CECI) at both national and provincial levels for period 2010–2020 employs ARIMA model to predict short-term peak trends level. findings are as follows. (1) Inner Mongolia, Shandong, Sichuan, Chongqing exhibit an N-shaped trend CECI, while northeast region shows inverted U-shaped trend. (2) Labor productivity energy intensity identified largest smallest drivers CECI growth, respectively, with driving force study’s factors fluctuating between 1% 60%. (3) Energy significantly contributes growth Tianjin Zhejiang, it aids reducing western provinces. “rebound effect” building efficiency is particularly pronounced provinces strong resource endowments, such Ningxia. (4) Between 2021 2025, predicted decrease northern economically developed provinces, expected increase central Heilongjiang, Guangdong, Shanghai, Shaanxi potentially reaching their peaks within forecast period. paper concludes several recommendations.

Language: Английский

Citations

0

Assessing the impact of emission trading scheme and carbon tax in the building sector: An embodied carbon perspective DOI

Qiang Du,

Minhua Ma, Cheng Lu

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 111, P. 107732 - 107732

Published: Nov. 26, 2024

Language: Английский

Citations

0

Building Carbon Emissions Echelon Peak Target Setting: Different Building Types, Sources, and Indicators DOI
Qiqi Liu, Yuan Liu, Weiguang Cai

et al.

Published: Jan. 1, 2023

The single-building carbon emissions peak target clearly cannot meet the requirements of more detailed roadmaps, nor can it promote energy saving and emission reduction actions in phases. To address this obstacle, a building setting model is constructed based on principle objective optimization via scenario analysis Monte Carlo simulation. Furthermore, (CEPT) fully refined from multiple dimensions, such as types, sources, indicators. Then, applied to China's sector obtain CEPTs for Chinese buildings under different dimensions develop roadmap. results show that, except direct per unit floor space, which have achieved target, follow pattern echelon peaking with an obvious order priority. In addition, according analysis, should make greater efforts take effective measures achieve 2030 target. CEPT proposed study provides new tool refining important support development phased conservation action plan.

Language: Английский

Citations

0