Small green housing makes a big difference: the impact of natural environmental uncertainty on consumers' willingness to purchase green housing DOI
Zhongxia Duan, Zhihua Ding, Yupeng Mou

et al.

Asia Pacific Journal of Marketing and Logistics, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 8, 2024

Purpose The residential sector is a principal contributor to global energy consumption, underscoring the critical importance of promoting green housing initiatives mitigate use and environmental degradation. prevalence uncertainty in natural environment, exemplified by phenomena like extreme weather events, highlights urgent need for adaptive strategies sustainable practices impact on human communities ecosystems. Against this backdrop, paper presents theoretical framework examining influence consumers' willingness purchase housing. Design/methodology/approach Through three experiments, study modeled mechanism which environment affects housing, then verified mediating effect threat ontological security moderating degree connectedness. Findings This concludes (1) exerts significant positive with serving as pivotal variable; (2) connectedness significantly moderates threats purchasing intent Originality/value research contributes marketing literature offering novel perspective consumer behavior, augmenting body knowledge concerning determinants intentions, provides new ideas marketers.

Language: Английский

Designing Incentives and Penalties for China’s Renewable Portfolio Standards: A Survey-Based Evolutionary Game Approach DOI
Cheng Zhong,

Tiantian Feng,

Yan Li

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122597 - 122597

Published: Feb. 1, 2025

Language: Английский

Citations

1
Green Credit Policy and Default Risk of the Heavy Polluting Corporations DOI
Qiang Qiu, Jinyue Yu

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 455, P. 142291 - 142291

Published: April 24, 2024

Language: Английский

Citations

6
Credit Risk Assessment of Green Supply Chain Finance for SMEs Based on Multi-Source Information Fusion DOI Open Access
Huipo Wang,

Liu Meng

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1590 - 1590

Published: Feb. 14, 2025

As an important pillar of the national economy, green transformation SMEs is key to promoting sustainable economic development. However, generally face issues such as information opacity and high operational risks, which make it difficult for them obtain traditional financing support, thereby hindering Green Supply Chain Finance has opened up new channels SMEs, but accuracy credit risk evaluation remains a bottleneck that limits its widespread application. This paper constructs index system integrates multiple sources information, covering factors situations themselves, stakeholder feedback, expert ratings. It compares analyzes performance genetic algorithm-optimized random forest model (GA-RF), BP neural network, support vector machine, logistic regression in evaluation. The empirical results indicate GA-RF significantly better than other models terms accuracy, precision, F1 score, highest AUC value, making more effective identifying risk. In addition, reveals asset–liability ratio, time establishment, growth rate operating revenue, collection accounts receivable, return on net assets, daily shipments are indicators affecting assessment.

Language: Английский

Citations

0
Impact of Green Credit on the Performance of Commercial Banks: Evidence from 42 Chinese Listed Banks DOI Creative Commons
Jean Jinghan Chen

Economics, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 1, 2025

Abstract With the rapid advancement of “dual carbon” goals, impact green credit is receiving increasing attention. This study investigates influence on performance commercial banks, using panel data from 42 Chinese banks (2007–2022). The empirical results show that significantly enhances with this effect being more pronounced in non-state-owned or under higher regulatory pressure. Furthermore, mechanism testing reveals debt-to-assets ratio (DAR) and cost-income (CIR) play a positive moderating role banks’ performance. understanding relationship between efficiency by providing new insights into ownership structures, pressures some financial indicators like DAR CIR. Besides, provides evidence for how can utilize to improve their offers valuable policy references regarding policymakers, such as introducing supportive policies targeted at establishing sound monitoring system.

Language: Английский

Citations

0
Integrating Evolutionary Game-Theoretical Methods and Deep Reinforcement Learning for Adaptive Strategy Optimization in User-Side Electricity Markets: A Comprehensive Review DOI Creative Commons
Lefeng Cheng, Xin Wei, Manling Li

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(20), P. 3241 - 3241

Published: Oct. 16, 2024

With the rapid development of smart grids, strategic behavior evolution in user-side electricity market transactions has become increasingly complex. To explore dynamic mechanisms this area, paper systematically reviews application evolutionary game theory markets, focusing on its unique advantages modeling multi-agent interactions and strategy optimization. While excels explaining formation long-term stable strategies, it faces limitations when dealing with real-time changes high-dimensional state spaces. Thus, further investigates integration deep reinforcement learning, particularly Q-learning network (DQN), theory, aiming to enhance adaptability applications. The introduction DQN enables participants perform adaptive optimization rapidly changing environments, thereby more effectively responding supply–demand fluctuations markets. Through simulations based a model, study reveals characteristics under different conditions, highlighting interaction patterns among complex environments. In summary, comprehensive review not only demonstrates broad applicability markets but also extends potential decision making through modern algorithms, providing new theoretical foundations practical insights for future policy formulation.

Language: Английский

Citations

3
Evolutionary game analysis on technological innovation strategies of marine ranching enterprises considering government’s incentive policies and consumer preferences DOI Creative Commons

Haodong Liu,

Qian Wu

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: Aug. 30, 2024

As a new mode of marine industry, ranching is gradually becoming an important means to promote the high-quality development economy. Meanwhile, technological innovation enterprises (MREs) can enhance economic and ecological functions ranching. This paper builds evolutionary game model including MREs, government consumers analyze strategic choices. The results show that: (1) government’s incentive policies play key role in initial period while eliminate mature MREs. (2) Government’s consist subsidy tax policies. amount should be moderate order avoid financial burdens, policy adaptation different types (3) Consumers’ preference significantly affects strategy MREs innovation. Government subsidies for with preferences guide market demand provide signals study provides reference formulate relevant

Language: Английский

Citations

2
How does Central Environmental Protection Inspection drive the green transformation of China’s heavy-polluting enterprises from an ESG perspective? DOI Creative Commons
Wanting Wang,

C. Feng D.H. Mao,

Shenya Liu

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Sept. 20, 2024

The green transformation of heavy-polluting enterprises under the carbon peaking and neutrality goals needs escort command environmental regulation. This paper takes first round Central Environmental Protection Inspection as a natural experiment, reflecting degree through environmental, social, governance (ESG) level enterprises. Taking Chinese A-share listed companies in Shanghai Shenzhen from 2010 to 2022 research object, dual machine learning model is used determine whether this system can improve ESG promote their transformation. Using model, it found that enhance Mechanism analyses show promotes by enhancing innovation capability, safeguarding rights interests upstream downstream supply chain actors, diligence, thus encouraging assume responsibilities. It also at macro-policy level, with migration inspection area west strengthening local governance, micro-firm higher digitization larger size assets, deeper effect on further spillover within industries strengthens positive compared inter-industry.

Language: Английский

Citations

1
Small green housing makes a big difference: the impact of natural environmental uncertainty on consumers' willingness to purchase green housing DOI
Zhongxia Duan, Zhihua Ding, Yupeng Mou

et al.

Asia Pacific Journal of Marketing and Logistics, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 8, 2024

Purpose The residential sector is a principal contributor to global energy consumption, underscoring the critical importance of promoting green housing initiatives mitigate use and environmental degradation. prevalence uncertainty in natural environment, exemplified by phenomena like extreme weather events, highlights urgent need for adaptive strategies sustainable practices impact on human communities ecosystems. Against this backdrop, paper presents theoretical framework examining influence consumers' willingness purchase housing. Design/methodology/approach Through three experiments, study modeled mechanism which environment affects housing, then verified mediating effect threat ontological security moderating degree connectedness. Findings This concludes (1) exerts significant positive with serving as pivotal variable; (2) connectedness significantly moderates threats purchasing intent Originality/value research contributes marketing literature offering novel perspective consumer behavior, augmenting body knowledge concerning determinants intentions, provides new ideas marketers.

Language: Английский

Citations

1