Dual Differences, Dynamic Evolution and Convergence of Total Factor Carbon Emission Performance: Empirical Evidence from 116 Resource-Based Cities in China DOI Open Access
Jiaming Wang, Xiangyun Wang, Shuwen Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10950 - 10950

Published: Dec. 13, 2024

Using panel data of Chinese cities from 2006 to 2020, this study constructs the carbon emission performance index perspective dual differences in four stages growth, maturity, decline and regeneration eastern, central, western resource-based (RBCs). This employs Dagum Gini coefficient kernel density estimation explore σ convergence β for understanding differences, dynamic evolutionary trend convergence. Results indicate that during sample period, RBCs shows a fluctuating upward with regional typological imbalance influenced by geographical location division labour. The different regions types (Growing, Mature, Declining Regenerative) downward trend. However, gap between 116 China is gradually expanding, further corroborating influence “excellent but outliers”. overall level exhibits convergence, absolute conditional phenomena. Notably, growing regenerative demonstrate clear “catching-up” compared mature declining RBCs. Furthermore, inclusion control variables reveals varying degrees increased speed. Environmental regulation intensity (ERI), gross domestic product (GDP), energy consumption structure (ECS), technology development (T), industrial (IS) foreign direct investment significant type heterogeneity changes Finally, based on analysis results, implications are proposed enhance types, as well at national levels.

Language: Английский

How Does Carbon Emission Efficiency Vary in Chinese Cities?- Taking 108 Cities Along the Yangtze River Economic Belt as an Example DOI
Dalai Ma,

Pengli Deng,

Yan Yin

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Impact Factors and Structural Pathways of Carbon Emissions in the Power Sector of the Beijing–Tianjin–Hebei Region Using MRIO Analysis DOI Creative Commons
Hao Yue,

Bingqing Wu,

Jiali Duan

et al.

Atmosphere, Journal Year: 2025, Volume and Issue: 16(2), P. 177 - 177

Published: Feb. 5, 2025

The accelerated growth of the global economy has given rise to a multitude environmental concerns that demand immediate attention. At this juncture, total carbon emissions are exhibiting gradual increase. China, United States, India, Russia, and Japan represent top five countries in terms emissions, collectively accounting for approximately 60% total. Of these, China’s highest world, representing over 30% As urbanization accelerates, from urban agglomerations constitute substantial share nation’s rendering clusters critical issue. In context agglomerations, Beijing–Tianjin–Hebei region, due factors such as industrial structure, accounts relatively high proportion 11% national future trajectory region will significantly impact high-quality development entire cluster. Consequently, research on is vital importance. This paper takes power industry subject, analyzes its status, builds multi-regional input–output model based tables data each province. study explores key influencing 2012 2017 transfer structural evolution perspective clarify reduction responsibilities provide references recommendations formulation regional collaborative emission policies. results show direct account higher compared indirect it generates by driving other industries. Industries with path include coal mining selection, equipment manufacturing, transportation, services, etc. capital input process Tianjin Hebei Beijing accompanied transfer. Promoting widespread adoption technologies have an effective suppressive effect especially Hebei; should pay attention stimulating increased final emissions; between regions industries shows downward trend sector undergoes transformation.

Language: Английский

Citations

0
Operational Efficiency of Pharmaceutical Companies in China: Based on Three-Stage DEA with Undesirable Outputs DOI Open Access

Jiaqiang Sun,

Anita Rosli, Adrian Daud

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 17(1), P. 207 - 207

Published: Dec. 30, 2024

After a period of rapid growth, China’s pharmaceutical industry is facing multiple challenges, including insufficient innovation and severe pollution. Current research on the efficiency companies in China primarily focuses financial or aspects. Therefore, holistic approach to operational needed. To measure more accurately holistically, while accounting for environmental pollution, this study employs three-stage Data Envelopment Analysis (DEA) model with undesirable outputs evaluate across five dimensions: market performance, profitability, risk control, innovation, sustainability. This integrates financial, sustainability indicators provide industry-specific framework measurement. Furthermore, integrating Stochastic Frontier (SFA) allows revealing impact factors efficiency. The results show that both technical (TE) pure (PTE) are relatively low first third stages, significant regional disparities. excluding factors, some regions—typically economically developed areas—showed improved overall indicates local environment these regions not conducive development enterprises. SFA further demonstrate investments education high-level talent significantly enhance efficiency, whereas pollutant emissions per capita income reduce findings suggest governments should enterprises by investing education, attracting skilled talent, improving waste infrastructure. Additionally, less efficient firms encouraged optimize resource allocation achieve higher

Language: Английский

Citations

2
Dual Differences, Dynamic Evolution and Convergence of Total Factor Carbon Emission Performance: Empirical Evidence from 116 Resource-Based Cities in China DOI Open Access
Jiaming Wang, Xiangyun Wang, Shuwen Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10950 - 10950

Published: Dec. 13, 2024

Using panel data of Chinese cities from 2006 to 2020, this study constructs the carbon emission performance index perspective dual differences in four stages growth, maturity, decline and regeneration eastern, central, western resource-based (RBCs). This employs Dagum Gini coefficient kernel density estimation explore σ convergence β for understanding differences, dynamic evolutionary trend convergence. Results indicate that during sample period, RBCs shows a fluctuating upward with regional typological imbalance influenced by geographical location division labour. The different regions types (Growing, Mature, Declining Regenerative) downward trend. However, gap between 116 China is gradually expanding, further corroborating influence “excellent but outliers”. overall level exhibits convergence, absolute conditional phenomena. Notably, growing regenerative demonstrate clear “catching-up” compared mature declining RBCs. Furthermore, inclusion control variables reveals varying degrees increased speed. Environmental regulation intensity (ERI), gross domestic product (GDP), energy consumption structure (ECS), technology development (T), industrial (IS) foreign direct investment significant type heterogeneity changes Finally, based on analysis results, implications are proposed enhance types, as well at national levels.

Language: Английский

Citations

0