The impact of collaborative agglomeration of manufacturing and services on carbon emission efficiency: spatial effect and mechanism analysis DOI
Haichao Yu, Youguo Zhang,

Lan Zhu

et al.

International Journal of Sustainable Development & World Ecology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: Oct. 24, 2024

Urban economic development benefits from industrial agglomeration by enhancing efficiency, but it may also bring negative effects, such as environmental pollution. This research uses data 283 Chinese cities 2007 to 2019, and applies the Spatial Durbin Model investigate spatial effects of on carbon emission along with its impact mechanisms at various stages collaborative between manufacturing service sectors. The results indicate that: (1) upgrading industry consumption-oriented production-oriented has proved be conducive efficiency alleviating problems associated agglomeration. (2) exerts a spillover effect efficiency. Over time, degree reaches specific threshold, positively impacts within local area an inhibitory in neighboring regions. (3) urban agglomerations Yangtze River Delta, Beijing-Tianjin-Hebei, Pearl Delta regions, low-carbon pilot cities, demonstrate greater capacity enhance positive (4) Collaborative clustering fosters technological progress through domestic technology transfer green innovation. It mitigates mismatches labor capital, enhances land-intensive utilization optimizes resource allocation, ultimately leading improve contributes China's social transition towards future provides valuable insights for developing countries.

Language: Английский

Zooming in or zooming out: Energy strategy, developmental parity and regional entrepreneurial dynamism DOI

Yanru Deng,

Rabindra Nepal, Xuefeng Shao

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 140, P. 108021 - 108021

Published: Nov. 10, 2024

Language: Английский

Citations

3

Will carbon emission trading scheme affect industrial investment? Evidence from China’s listed companies DOI
H. Zheng, Caiyun Zhang,

Xiaoxi Zhang

et al.

Applied Economics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: June 13, 2024

Using data from A-share listed companies in China spanning the years 2008 to 2020, this study constructs a Staggered Difference-in-Differences (DID) model estimate influence of Carbon Emission Trading Scheme (ETS) on industrial investment, based signalling theory, financing constraint theory and capital structure theory. The main findings are summarized as follows: Firstly, implementation ETS is observed enhance investment levels within located pilot areas. This finding confirmed through series robustness tests that further validate its credibility. Secondly, analysis mechanisms reveals positive effect due ability improve environmental performance market value companies. These provide empirical evidence valuable insights for assessing efficacy regulation policies refining framework.

Language: Английский

Citations

2

The digital economy and energy poverty in Central and Eastern Europe DOI
Mihaela Simionescu, Javier Cifuentes‐Faura

Utilities Policy, Journal Year: 2024, Volume and Issue: 91, P. 101841 - 101841

Published: Oct. 11, 2024

Language: Английский

Citations

2

Analysis of the influence and coupling effect of environmental regulation policy tools on industrial green and low-carbon transformation DOI Creative Commons

Dong Jingrong,

Hai‐Tao Zhang, Wenqing Zhang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 28, 2024

Language: Английский

Citations

2

How digital inclusive finance affects the health of the migrant population –evidence from China migrants dynamic survey DOI
Guoqiang Yan, Javier Cifuentes‐Faura, Xiaoqian Liu

et al.

Applied Economics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: July 23, 2024

Digital inclusive finance plays a pivotal role in enhancing the welfare of migrant population. This paper adopts data from 2017–2018 China Migrants Dynamic Survey to analyse effect digital on migrants' health and underlying mechanisms. The results show that significantly improves health, which remains robust after taking full consideration endogeneity. mechanism analysis suggests alleviates environmental pollution enhances accessibility healthcare services, turn migrants. Furthermore, heterogeneity reveals compared with other migrants, has greater health-enhancing middle-aged those without higher education or public education.

Language: Английский

Citations

1

Study on the measurement and prediction of the ecological structure for water efficiency in China: from the perspective of “production-living-ecological” function DOI

Yan Tang,

Yunpei Cheng, Shan Gao

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 7, 2024

Language: Английский

Citations

1

The impact of economic growth on health resource allocation in China: based on a PVAR dynamic analysis DOI
Yulu Tian, Zeshui Xu, Xinxin Wang

et al.

Journal of Social and Economic Development, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 26, 2024

Language: Английский

Citations

1

Is artificial intelligence a new battleground for cybersecurity? DOI
Khalid Khan, Adnan Khurshid, Javier Cifuentes‐Faura

et al.

Internet of Things, Journal Year: 2024, Volume and Issue: 28, P. 101428 - 101428

Published: Nov. 6, 2024

Language: Английский

Citations

1

The impact of collaborative agglomeration of manufacturing and services on carbon emission efficiency: spatial effect and mechanism analysis DOI
Haichao Yu, Youguo Zhang,

Lan Zhu

et al.

International Journal of Sustainable Development & World Ecology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: Oct. 24, 2024

Urban economic development benefits from industrial agglomeration by enhancing efficiency, but it may also bring negative effects, such as environmental pollution. This research uses data 283 Chinese cities 2007 to 2019, and applies the Spatial Durbin Model investigate spatial effects of on carbon emission along with its impact mechanisms at various stages collaborative between manufacturing service sectors. The results indicate that: (1) upgrading industry consumption-oriented production-oriented has proved be conducive efficiency alleviating problems associated agglomeration. (2) exerts a spillover effect efficiency. Over time, degree reaches specific threshold, positively impacts within local area an inhibitory in neighboring regions. (3) urban agglomerations Yangtze River Delta, Beijing-Tianjin-Hebei, Pearl Delta regions, low-carbon pilot cities, demonstrate greater capacity enhance positive (4) Collaborative clustering fosters technological progress through domestic technology transfer green innovation. It mitigates mismatches labor capital, enhances land-intensive utilization optimizes resource allocation, ultimately leading improve contributes China's social transition towards future provides valuable insights for developing countries.

Language: Английский

Citations

0