
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 15, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 15, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112075 - 112075
Published: April 27, 2024
Language: Английский
Citations
0Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 12
Published: May 16, 2024
Urban resilience is a new paradigm for urban risk governance, whereas developing community the foundation better resilient governance. Corporations serve as both and pivotal factor in ensuring of community. Therefore, it vital to encourage their active involvement This investigated key influential factors corporations governance well influence paths related these factors. Firstly, multi-participant symbiotic relationships symbiosis system were analyzed. The hypothesis model corporations’ was proposed, combining Theory Planned Behavior Social Practice. Finally, subjective objective explored based on structural equation linear regression by questionnaire investigation. results show that: 1) Corporate behavior influenced such behavioral attitude (ATT), norm (SN), perceived control (PBC), intention (BI), also institutional including Field capital. 2) five (B) are follows: SN→ATT→BI→B; PBC→ATT→BI→B; PBC→B; × BI → B; capital B. 3) result combination rational moral reasoning, with rationality preceding morality. positively negatively moderate transformation into behavior, respectively.
Language: Английский
Citations
0Natural Hazards, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 18, 2024
Language: Английский
Citations
0Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9440 - 9440
Published: Oct. 30, 2024
Increased external uncertainties and growing tensions within the urban economic system pose new challenges to economy. How improve quality of development enhance resilience economies has become a goal for sustainable development. Therefore, taking Jiangsu Province as an example, this study aims explore evolutionary trend provide valuable references cultivating enhancing resilience. Initially, indicators is established based on three dimensions: resistance, adaptability, Then, combined with entropy method, coefficient variation kernel density natural break-point Theil index, spatial temporal differences elasticity 13 cities in from 2006 2021 are analyzed. Finally, exploratory data analysis convergence models applied investigate correlation The results show upward Province, but significant regional agglomeration. A downward level observed Southern Northern Jiangsu. model suggests that growth will gradually converge same stable level, have reduction. In future, region needs strengthen cooperation, role central city drive, continuously promote high-quality
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 15, 2024
Language: Английский
Citations
0