Spatial spillover effect and driving factors of urban carbon emissions in the Yellow River Basin using nighttime light data DOI Creative Commons
Mingjuan Ma, Yumeng Wang, Shuifa Ke

et al.

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

Published: Aug. 24, 2024

Yellow River Basin (YRB) is a pivotal region for energy consumption and carbon emissions (CEs) in China, with cities emerging as the main sources of regional CEs. This highlights their critical role achieving sustainable development China's neutrality. Consequently, there pressing need detailed exploration urban spillover effects an in-depth analysis complex determinants influencing CEs within YRB. Remote sensing data provide optimal conditions conducting extensive studies across large geographical areas extended time periods. study integrates DMSP/OLS NPP/VIIRS nighttime light datasets longitudinal Using harmonized dataset from 2007 to 2021, this quantifies 58 prefecture-level By combining ESDA, STIRPAT model spatial econometric model, investigation further clarifies empirically driving factors The delineates phase-wise augmentation CEs, converging towards distinct distribution characterized by "lower reach > middle upper reach". autocorrelation tests unravel interplay between agglomeration differentiation patterns underscored pronounced lock-in phenomena. Significantly, demonstrates that urbanization, economic development, structure, green coverage rate, industrial population, technological progress, FDI each exhibit varied direct indirect effect on Furthermore, it elaborates potential policy implications future research directions, offering crucial insights formulating mitigation strategies advance development.

Language: Английский

Digital economy solutions towards carbon neutrality: The critical role of energy efficiency and energy structure transformation DOI
Chenchen Huang, Boqiang Lin

Energy, Journal Year: 2024, Volume and Issue: 306, P. 132524 - 132524

Published: July 20, 2024

Language: Английский

Citations

18
Examining the characteristics and influencing factors of China's carbon emission spatial correlation network structure DOI Creative Commons

Xiaoyi Shi,

Xiaoxia Huang, Weixi Zhang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111726 - 111726

Published: Feb. 1, 2024

To facilitate rational regional emission targets and enhance nationwide reduction efforts, this study systematically examines carbon spatial correlations. Using social network analysis (SNA), we investigated the China Carbon Emission Spatial Correlation Network (CCESCN) from 2011 to 2020. The network's structure gradually evolved with strong stability. associations loosened, correlations reduced over time. Jiangsu Shandong had spillover effects, while Shanghai, Zhejiang, Beijing, Tianjin received emissions other regions. Jiangsu, Shandong, Anhui, Zhejiang played core roles, Guangdong, Beijing acted as intermediaries. Different levels of regions are interacting more integration is increasing. Regions were grouped into four functionally different blocks. Industry proportion urbanization influenced sending relationships, openness, industry proportion, energy efficiency, affected receiving relationships. Geographic, information, transportation, innovation distances also roles in CCESCN

Language: Английский

Citations

15
Foreign direct investment and environmental degradation: Can intellectual property rights help G20 countries achieve carbon neutrality? DOI
Marco Túlio Dinali Viglioni, Cristina Lélis Leal Calegário, Arthur César Dinali Viglioni

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 77, P. 102501 - 102501

Published: March 8, 2024

Language: Английский

Citations

13
How Digital Technology Reduces Carbon Emissions: From the Perspective of Green Innovation, Industry Upgrading, and Energy Transition DOI
Huang Jian-gang, Xinya Chen, Xing Zhao

et al.

Journal of the Knowledge Economy, Journal Year: 2024, Volume and Issue: unknown

Published: March 19, 2024

Language: Английский

Citations

10
The impact of FDI on energy conservation and emission reduction performance: A FDI quality perspective DOI Creative Commons
Fei Wang, Linwei Ye, Xiaohua Zeng

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(4), P. e25676 - e25676

Published: Feb. 1, 2024

According to the climate emission reduction commitment of Paris Agreement, all countries are actively seeking a new path energy conservation and reduction, trying "bend downward" global greenhouse gas curve. For China's carbon peak before 2030 neutral target 2060, explore whether FDI can reduce consumption emissions. From research perspective quality, this paper explores potential ways improve regional energy-carbon performance (ECEP), applied dynamic threshold effect two-stage least squares for validation. The specific results as follows: quality improvement have significant positive impact on ECEP.The development level renewable energy, optimization industrial structure enhancement green innovation ability positively regulate performance. At same time, panel model demonstrate that with economic growth pressure local governments decreases fiscal decentralization increases, role in promoting ECEP could be stronger. influence has heterogeneity, is heterogeneous, more inland midwestern regions than coastal eastern regions. This study provides experience formulate assessment system foreign investment policy.

Language: Английский

Citations

9
The impact of urban green business environment on FDI quality and its driving mechanism: Evidence from China DOI
Xiu‐Qing Li, Liming Xiao

World Development, Journal Year: 2023, Volume and Issue: 175, P. 106494 - 106494

Published: Dec. 10, 2023

Language: Английский

Citations

17
The role of outward foreign direct investment as a filter for high energy intensity economies in the European Union DOI
Gonzalo Hernández Soto

Applied Energy, Journal Year: 2024, Volume and Issue: 361, P. 122941 - 122941

Published: March 11, 2024

Language: Английский

Citations

7
The spatial spillover effect of financial growth on high-quality development: Evidence from Yellow River Basin in China DOI Creative Commons
Zhenhua Zhang, Chao Hua, Marshall S. Jiang

et al.

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

Published: June 24, 2024

Abstract River basin cities are areas with remarkable conflicts between the human activity and ecological environment. They also important targets for policy implementation of sustainable high-quality development (HD) in various countries around world. This article exploits panel data 99 located Yellow Basin (YRB) from 2006 to 2019 empirically analyze spatial effect financial growth on HD. Spatial weights participated econometric models utilized this effect. Empirical results reveal that: (1) HD YRB shows a strong positive autocorrelation. (2) Financial exerts an N-shaped curve long-term perspective. When influence spills out surroundings, it exhibits inverted U-shaped characteristic. (3) Green innovation can be intermediary factor (4) The appears stronger regions higher economic levels, where effects transmitted surrounding regions. However, backward low-economy prevents spillover effects. study instrumental formulate policies that aim promote river cities.

Language: Английский

Citations

7
Chinese FDI outflows and host country environment DOI
Massimiliano Caporin, Arusha Cooray, Bekhzod Kuziboev

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121675 - 121675

Published: July 5, 2024

Language: Английский

Citations

5
Does enterprise digitization reduce carbon emissions? Evidence from China DOI Creative Commons

Qiguang An,

Yingshuang Shi

Chinese Journal of Population Resources and Environment, Journal Year: 2023, Volume and Issue: 21(4), P. 219 - 230

Published: Dec. 1, 2023

The digital transformation and expansion of businesses will provide China's low-carbon economic development strategy with fresh impetus in the backdrop emerging economy environmentally friendly growth. This article measures level enterprise digitization using two methods: index text analysis word frequency statistics. Additionally, carbon emissions are obtained by measuring various types according to emission classification range standard. To account for endogeneity unobservable variables, relative indicators, such as rate increase company carbon, utilized. Using microdata from Chinese listed firms 2011 2021, this study examines implications corporate on emissions. further analyzes transmission mechanism investigates function green finance controlling reducing distinguishing between patents. Research shows that businesses' greatly reduced a consequence getting digital. Even after performing several robustness tests, conclusion still remains valid. According analysis, which demonstrates main through digitalization enterprises is promote innovation technology. regulation reduce heterogeneity, state-owned those situated areas stringent environmental regulations more significantly impacted discusses promoting digitalization, expands relevant research achievable paths strategies.

Language: Английский

Citations

12