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学者姓名：段锴丰
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Current research paradigms examining factors influencing Learning from Incidents (LFI) primarily rely on static, unidirectional, and linear frameworks that fail to account for nonlinear interactions between causal elements and systemic dependencies, consequently perpetuating structural deficiencies in LFI implementation. Addressing this critical gap, our research develops an integrated SEM-SD analytical framework through a socio-psychological lens and Conservation of Resource (COR) theory, systematically mapping both exogenous and endogenous determinants alongside their synergistic co-evolution trajectories within construction project systems. Utilizing 154 valid questionnaires from Chinese construction organizations, the study employs dual validation approaches-SEM and SD to analyze multi-level relationships between factors. Key findings demonstrate that psychological safety exerts greater influence on the LFI systems in dynamic environments than in static conditions. Leader inclusiveness shows a significant positive impact on psychological safety alongside nonlinear progressive effects on LFI behaviors. Organizational support maintains direct positive correlations with both psychological safety and leader inclusiveness while dynamically enhancing relational identification and LFI outcomes through evolutionary system interactions. Incentive mechanisms operate as double-edged swords, necessitating context sensitive calibration to balance their effects. Crucially, positive organizational contexts significantly improve LFI performance, which subsequently strengthens contextual conditions through performance feedback, creating self-reinforcing improvement cycles. This methodological advancement combines empirical validation with dynamic feedback analysis, surpassing traditional static approaches and deepening theoretical understanding of behavioral mechanisms driving effective LFI implementation in construction contexts.
Keyword ：
Conservation of resource (COR) theory Conservation of resource (COR) theory Learning from incidents Learning from incidents Organizational context Organizational context System dynamics System dynamics
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| GB/T 7714 | Lin, Lingna , Duan, Kaifeng , Zhong, Jiacheng et al. Impact of Organizational Context on Construction Project-based Organizations' Learning from Incidents based on Structural Equation Modelling and System Dynamics [J]. | JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH , 2025 , 84 (8) : 914-926 . |
| MLA | Lin, Lingna et al. "Impact of Organizational Context on Construction Project-based Organizations' Learning from Incidents based on Structural Equation Modelling and System Dynamics" . | JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH 84 . 8 (2025) : 914-926 . |
| APA | Lin, Lingna , Duan, Kaifeng , Zhong, Jiacheng , Zhai, Musai . Impact of Organizational Context on Construction Project-based Organizations' Learning from Incidents based on Structural Equation Modelling and System Dynamics . | JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH , 2025 , 84 (8) , 914-926 . |
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PurposeThe nature of public-private partnership (PPP) markets, industry competition, and organizational embeddedness (e.g. collaboration experience), significantly influence how private-sector organizations in PPP establish relational ties and create project networks during the PPP procurement phase. This necessitates a multi-level perspective to unveil the relationship mechanisms and behaviors of organizations in PPP at different levels. This study aims to analyze the industry, clustering, and local characteristics of organization relationships using a longitudinal dataset of PPP transportation projects sourced from the National PPP Integrated Information Platform (NPPPIIP).Design/methodology/approachThis study adopts a multi-level analytical approach, encompassing whole-network, clustering-network, and local-network levels, to explore the mechanisms of organizational relationships and behavioral patterns within collaboration networks among private-sector organizations.FindingsThe results indicate that (1) organizational relationships within PPP unfold spontaneously over time, driven intrinsically and collectively, devoid of prior planning, control, external direction, or imposed order at the industry level, with the evolution of four collaboration types elucidating the emergence of self-organizing networks; (2) super enterprises exhibit exceptional breadth, brokerage, and ego abilities, and relationship patterns are governed by the effects of geographic proximity and preferential attachment at the clustering level; and (3) local relationship patterns are characterized by embeddedness mechanisms, including relational and structural aspects.Originality/valueThe multi-level analysis framework enhances our understanding of organization interactions in the PPP procurement phase, breaking away from the traditional social network analysis (SNA) at both the network-centric and ego-centric levels. Overall, the insights are valuable for policymakers designing improved tendering processes and for PPP private-sector organizations seeking a comprehensive overview of competition and collaboration in the transportation infrastructure sector.
Keyword ：
Multi-level perspective Multi-level perspective PPP PPP Project networks Project networks Relationship patterns Relationship patterns
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| GB/T 7714 | Feng, Xiaowei , Cao, Jiming , Liu, Liang et al. Multi-level relationship patterns among private-sector organizations in public-private partnerships: a network perspective with evidence from China's transportation sectors [J]. | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT , 2025 . |
| MLA | Feng, Xiaowei et al. "Multi-level relationship patterns among private-sector organizations in public-private partnerships: a network perspective with evidence from China's transportation sectors" . | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT (2025) . |
| APA | Feng, Xiaowei , Cao, Jiming , Liu, Liang , Ye, Yiming , Duan, Kaifeng . Multi-level relationship patterns among private-sector organizations in public-private partnerships: a network perspective with evidence from China's transportation sectors . | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT , 2025 . |
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This study explores the moderating effect of trade diversification on the relationship between global value-chain participation and natural resource rents for 106 nations from 2005 to 2018. The study employs an extended system Generalized Method of Moments (GMM) model to address potential challenges related to endogeneity and serial correlation. The results demonstrate how natural resource rents inhibit global value-chain participation by multinational firms, deterring them from investing in resource-dependent economies and restricting their integration into global trade networks. Trade diversification serves an essential moderation role in this process; nations with more diverse trade arrangements are less vulnerable to resource rents' negative effect on global value-chain participation. Furthermore, this study unleashes the significance of employing ecologically sustainable methods to mitigate resource exploitation's detrimental environmental impacts and ensure a balanced economic development model. Diversifying trade links and export quality improvement efforts with diversifying trade can increase trade links, strengthen international value chains and facilitate adoption of new technologies and information encouraging participation in global value chains. Our findings underscore the significance of policy actions which promote trade diversification to better manage natural resources, leverage resource rents for long-term economic growth and build resilience against future economic shocks.
Keyword ：
Environmental sustainability Environmental sustainability Global value chains Global value chains Human capital index Human capital index Natural resources Natural resources Trade diversification Trade diversification
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| GB/T 7714 | Duan, Kaifeng , Khan, Naqib Ullah , Liu, Hailong et al. Environmental implications of improving global value chain participation via trade diversification: Offsetting the effects of resource rents [J]. | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2025 , 379 . |
| MLA | Duan, Kaifeng et al. "Environmental implications of improving global value chain participation via trade diversification: Offsetting the effects of resource rents" . | JOURNAL OF ENVIRONMENTAL MANAGEMENT 379 (2025) . |
| APA | Duan, Kaifeng , Khan, Naqib Ullah , Liu, Hailong , Ariza-Montes, Antonio , Gil-Marin, Miseldra . Environmental implications of improving global value chain participation via trade diversification: Offsetting the effects of resource rents . | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2025 , 379 . |
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With growing concern toward sustainable urban regeneration (UR) and the inability of existing UR policy instrument frequency studies to distinguish the blurring content in policies, a systematic framework quantitatively analyzing the temporal evolution of the content of UR policies is necessary. This paper considers localized modes, incorporates methods from multidimensions of UR, beyond merely the frequency of policy instruments, and proposes the Supply-Environment-Demand-Mode-Method framework. Dynamic topic modeling was utilized to reveal the thematic evolution quantitatively based on 427 UR policy documents in Shanghai. The results reveal that: (1) the municipal governments concentrate on environment-side instruments, especially nonfinancial ones; (2) policies of demolition, conservation, and renovation overlap throughout history rather than separately distributed; (3) quantitative evidence is provided that ecology and culture are less prioritized in UR compared to other dimensions. This paper provides a data-support holistic view of UR evolution in Shanghai for urban planners and other practitioners; three channels to improve UR practice are also proposed. This research highlights more possibilities to study UR from perspectives of policy implementation, policy process, and cross-disciplinary arena in the future.
Keyword ：
Content analysis Content analysis Dynamic topic model Dynamic topic model Natural language processing Natural language processing Policy instrument Policy instrument Urban regeneration Urban regeneration
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| GB/T 7714 | Min, Xinru , Shi, Nan , Duan, Kaifeng . Diachronic Analysis of Urban Regeneration Policies in Shanghai: Instruments, Modes, and Methods [J]. | JOURNAL OF URBAN PLANNING AND DEVELOPMENT , 2025 , 151 (2) . |
| MLA | Min, Xinru et al. "Diachronic Analysis of Urban Regeneration Policies in Shanghai: Instruments, Modes, and Methods" . | JOURNAL OF URBAN PLANNING AND DEVELOPMENT 151 . 2 (2025) . |
| APA | Min, Xinru , Shi, Nan , Duan, Kaifeng . Diachronic Analysis of Urban Regeneration Policies in Shanghai: Instruments, Modes, and Methods . | JOURNAL OF URBAN PLANNING AND DEVELOPMENT , 2025 , 151 (2) . |
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Keyword ：
carbon emission carbon emission climate change climate change environmental governance environmental governance low-carbon development low-carbon development urban-rural interaction urban-rural interaction
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| GB/T 7714 | Duan, Kaifeng , Li, Heng , Wu, Guangdong et al. Editorial: Carbon emission governance in the evolution process of urban-rural interaction [J]. | FRONTIERS IN ENVIRONMENTAL SCIENCE , 2024 , 12 . |
| MLA | Duan, Kaifeng et al. "Editorial: Carbon emission governance in the evolution process of urban-rural interaction" . | FRONTIERS IN ENVIRONMENTAL SCIENCE 12 (2024) . |
| APA | Duan, Kaifeng , Li, Heng , Wu, Guangdong , Zhao, Dong . Editorial: Carbon emission governance in the evolution process of urban-rural interaction . | FRONTIERS IN ENVIRONMENTAL SCIENCE , 2024 , 12 . |
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The transition to a green, sustainable economy is largely reliant on corporate investment in the realm of environmental protection. Utilizing the adoption of the third phase of the Golden Tax Project (GTPIII) in China as a quasi-natural experiment, this paper examines how corporate environmental investment changes in response to greater tax enforcement. Our results reveal that tougher tax enforcement significantly lowers corporate environmental investment. Such an effect is stronger for firms faced by high financial constraints and those operating in non-heavy-polluting industries. Moreover, the mechanism analysis indicates that the higher tax burden induced by greater tax enforcement is the potential channel. Overall, this paper shows that stricter tax enforcement could potentially result in adverse spillover effects on corporate environmental investment, which warrants attention in tax collection practices.
Keyword ：
corporate environmental investment corporate environmental investment financial constraints financial constraints heavy-polluting industry heavy-polluting industry tax burden tax burden tax enforcement tax enforcement
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| GB/T 7714 | He, Lu , Xu, Lin , Duan, Kaifeng et al. Does tax enforcement reduce corporate environmental investment? evidence from a quasi-natural experiment [J]. | FRONTIERS IN ENVIRONMENTAL SCIENCE , 2024 , 12 . |
| MLA | He, Lu et al. "Does tax enforcement reduce corporate environmental investment? evidence from a quasi-natural experiment" . | FRONTIERS IN ENVIRONMENTAL SCIENCE 12 (2024) . |
| APA | He, Lu , Xu, Lin , Duan, Kaifeng , Rao, Yulei , Zheng, Chuanzhen . Does tax enforcement reduce corporate environmental investment? evidence from a quasi-natural experiment . | FRONTIERS IN ENVIRONMENTAL SCIENCE , 2024 , 12 . |
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The critical role of high-quality urban development and scientific land use in leveraging big data for air quality enhancement is paramount. The application of machine learning for causal inferences in research related to big data development and air pollution presents considerable potential. This study employs a double machine learning model to explore the impact of big data development on the PM2.5 concentration in 277 prefecture-level cities across China. This analysis is grounded in the quasi-natural experiment named the National Big Data Comprehensive Pilot Zone. The findings reveal a significant inverse relationship between big data development and PM2.5 levels, with a correlation coefficient of -0.0149, a result consistently supported by various robustness checks. Further mechanism analyses elucidate that big data development markedly diminishes PM2.5 levels through the avenues of enhanced urban development and land use planning. The examination of heterogeneity underscores big data's suppressive effect on PM2.5 levels across central, eastern, and western regions, as well as in both resource-dependent and non-resource-dependent cities, albeit with varying degrees of significance. This study offers policy recommendations for the formulation and execution of big data policies, emphasizing the importance of acknowledging local variances and the structural nuances of urban economies.
Keyword ：
big data development big data development double machine learning double machine learning high-quality urban development high-quality urban development land use land use PM2.5 PM2.5
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| GB/T 7714 | Wei, Xinyu , Cheng, Mingwang , Duan, Kaifeng et al. Effects of Big Data on PM2.5: A Study Based on Double Machine Learning [J]. | LAND , 2024 , 13 (3) . |
| MLA | Wei, Xinyu et al. "Effects of Big Data on PM2.5: A Study Based on Double Machine Learning" . | LAND 13 . 3 (2024) . |
| APA | Wei, Xinyu , Cheng, Mingwang , Duan, Kaifeng , Kong, Xiangxing . Effects of Big Data on PM2.5: A Study Based on Double Machine Learning . | LAND , 2024 , 13 (3) . |
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厘清乡村振兴对黄河流域农业碳排放的影响, 对于黄河流域高质量发展和农业低碳发展均具有重要意义。本文基于黄河流域2001—2021年间88个地级市的面板数据, 采用空间计量模型和门槛回归模型分析乡村振兴对黄河流域农业碳排放的影响和空间溢出效应, 并对二者的非线性关系和区域异质性进行了分析。结果显示, 乡村振兴对农业碳排放具有显著的促进作用, 同时表现出显著的负向空间溢出效应, 且乡村振兴对农业碳排放的空间溢出效应大于直接效应, 此外产业结构和城镇化对农业碳排放具有负向影响, 种植规模、化肥施用强度和农业经济发展对农业碳排放呈正向影响。农业技术进步在乡村振兴对农业碳排放的影响中具有门槛效应, 当农业技术进步越过门槛值时, 乡村振兴对农业碳排放的影响由正转负。从异质性角度来看, 在粮食主产区, 乡村振兴对农业碳排放表现为抑制作用, 而在非粮食主产区, 乡村振兴对农业碳排放表现为促进作用。就地理区位而言, 乡村振兴对黄河中游和下游区域农业碳排放表现为抑制作用, 对黄河上游区域表现为促进作用。因此, 应重视农业碳排放的区域差异, 强化农业技术进步在乡村振兴过程中的减排作用, 并因地制宜采取措施推动农业碳减排, 进而实现黄河流域农业绿色低碳发展。
Keyword ：
乡村振兴 乡村振兴 农业碳排放 农业碳排放 空间杜宾模型 空间杜宾模型 门槛效应 门槛效应 黄河流域 黄河流域
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| GB/T 7714 | 赵金彩 , 杜永猛 , 任世鑫 et al. 乡村振兴对黄河流域农业碳排放的空间溢出及门槛效应研究 [J]. | 中国生态农业学报（中英文） , 2024 , 32 (10) : 1766-1779 . |
| MLA | 赵金彩 et al. "乡村振兴对黄河流域农业碳排放的空间溢出及门槛效应研究" . | 中国生态农业学报（中英文） 32 . 10 (2024) : 1766-1779 . |
| APA | 赵金彩 , 杜永猛 , 任世鑫 , 段锴丰 , 任芮莹 . 乡村振兴对黄河流域农业碳排放的空间溢出及门槛效应研究 . | 中国生态农业学报（中英文） , 2024 , 32 (10) , 1766-1779 . |
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The imbalance of rural human-land relationships has become a notable problem in China's urbanization process. The dual urban-rural system is widely regarded as the crucial factor contributing to this problem in China. Although the significance of institutional forces has been substantially recognized, the rural homestead system seems to be generally under-evaluated in this issue. Most of the previous literature focuses on the dual household registration system, while the effects and the detailed mechanisms of the rural homestead system on human-land relationships lack depth in research. The objective of this research is to help fill this gap in the literature on the complex effects and the detailed mechanisms of the rural homestead system on rural human-land relationships. In view of this, this paper establishes a conceptual framework on the basis of land function theory and public domain of property rights theory and proposes two mechanism hypotheses: one is the land attachment mechanism of farmers' rights and interests (LAM), the other is the land finance preference mechanism of local governments (LFPM). Then, this article examines them empirically using the panel model with the data of 41 cities from 2010 to 2021 in the Yangtze River Delta of China. The main conclusions are as follows: (1) LAM promotes the imbalance of rural human-land relationships due to the attachment of farmer's social security rights and property expectant interests to the rural homesteads; (2) LFPM drives the imbalance of rural human-land relationships, owing to both the preference of land transfer revenue and the exclusion of rural migrants' citizenship financial cost on local governments; (3) the moderating effects suggest that LFPM can strengthen the effect of LAM, and the spatial Durbin model results show that both LAM and LFPM have spatial spillover effects. It is hoped that the findings will provide a reference for deepening the rural homestead system reform.
Keyword ：
land attachment mechanism land attachment mechanism land finance preference mechanism land finance preference mechanism panel model panel model rural homestead system rural homestead system rural human-land relationship rural human-land relationship spatial Durbin model spatial Durbin model
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| GB/T 7714 | Yi, Yuan , Duan, Kaifeng , He, Fang et al. The Effects and Mechanisms of the Rural Homestead System on the Imbalance of Rural Human-Land Relationships: Evidence from the Yangtze River Delta Urban Agglomeration in China [J]. | LAND , 2024 , 13 (2) . |
| MLA | Yi, Yuan et al. "The Effects and Mechanisms of the Rural Homestead System on the Imbalance of Rural Human-Land Relationships: Evidence from the Yangtze River Delta Urban Agglomeration in China" . | LAND 13 . 2 (2024) . |
| APA | Yi, Yuan , Duan, Kaifeng , He, Fang , Si, Yuxuan . The Effects and Mechanisms of the Rural Homestead System on the Imbalance of Rural Human-Land Relationships: Evidence from the Yangtze River Delta Urban Agglomeration in China . | LAND , 2024 , 13 (2) . |
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This paper examines the impacts of government-market relation (measured by the degree of marketization) on the link between financial deepening and income growth of rural residents. Using macro panel data covering a period from 2010 to 2021 across 31 provincial administrative regions in China, we create an interaction variable that captures the interplay between financial deepening and the degree of marketization. Employing a fixed effects model and a dynamic panel regression model, we derive three robust findings from the regression analysis: (1) the higher the degree of marketization, the stronger the promotion effect of financial deepening on the growth of rural residents' income, with a one-year lag effect; (2) the higher the degree of marketization, the stronger the promotion effect of financial deepening on the wage income of rural residents, with a one-year lag effect; (3) the higher marketization fails to create the promotion effects of financial deepening on the net business income and net property income of rural residents. These results suggest that financial deepening aimed at raising rural residents' incomes in provinces, where China's marketization has slowed down, stagnated, or retrogressed, will have difficulty reaching its goals, and that some of the financial and economic problems affecting the growth of rural residents' business and property incomes remain unresolved.
Keyword ：
China China Disposable income Disposable income Financial deepening Financial deepening Government and market Government and market Government intervention Government intervention
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| GB/T 7714 | Duan, Kaifeng , Zheng, Chuanzhen . Financial deepening does cause income growth of rural residents: Insights from the relationship between government and market in China [J]. | HELIYON , 2024 , 10 (110) . |
| MLA | Duan, Kaifeng et al. "Financial deepening does cause income growth of rural residents: Insights from the relationship between government and market in China" . | HELIYON 10 . 110 (2024) . |
| APA | Duan, Kaifeng , Zheng, Chuanzhen . Financial deepening does cause income growth of rural residents: Insights from the relationship between government and market in China . | HELIYON , 2024 , 10 (110) . |
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