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学者姓名：沈能
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Collaborative innovation is the key support for promoting high-quality regional development. Taking Guangdong, Fujian and Zhejiang coastal city clusters as an example, this paper analyzes the evolution mechanism of collaborative innovation network based on the 'two-wheel drive' perspective of external proximity and endogenous gravity. The results show that the difference of resource control ability among nodes in the network is decreasing, and the inverted 'V' structure with Xiamen and Putian as the main apex has evolved into a more robust 'dual core' (Fuzhou-Xiamen) radiation-type spatial structure. In addition, the evolution of regional collaborative innovation network is driven by 'two wheels'. In external proximity, institutional proximity plays the strongest role in promoting, followed by geographical proximity, and the promoting role of technological proximity is gradually weakened. In the endogenous gravity, the influence of investment in science and education is strengthening, while the influence of the administrative level is declining.
Keyword ：
Collaborative innovation Collaborative innovation endogenous gravity endogenous gravity external proximity external proximity two-wheel drive two-wheel drive
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| GB/T 7714 | Shen, Neng , Shang, Xiaofei , Guo, Wenna et al. Evolution of regional collaborative innovation network by the 'two-wheel drive' of external proximity and endogenous gravity [J]. | TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT , 2024 . |
| MLA | Shen, Neng et al. "Evolution of regional collaborative innovation network by the 'two-wheel drive' of external proximity and endogenous gravity" . | TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT (2024) . |
| APA | Shen, Neng , Shang, Xiaofei , Guo, Wenna , Zhang, Guoping . Evolution of regional collaborative innovation network by the 'two-wheel drive' of external proximity and endogenous gravity . | TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT , 2024 . |
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PurposeIn the context of open innovation, more and more enterprises are leveraging innovation networks to drive disruptive innovation performance, but there is no consensus on the relationship between network embeddedness and enterprise disruptive innovation performance. This paper aims to systematically explore the relationship between them.Design/methodology/approachThis paper constructs a multi-level network embeddedness model and uses 58 independent studies as samples to explore the relationship between multi-level network embeddedness and enterprise disruptive innovation performance by meta-analysis.FindingsFirst, network embeddedness at the enterprise and regional levels will promote the improvement of disruptive innovation performance. Although industrial relationship embeddedness will promote the improvement of disruptive innovation performance, its structural embeddedness will bring negative effects. Second, in terms of mediating effect, policy-oriented support will promote the relationship between network embeddedness and disruptive innovation performance at the enterprise and industry levels. Compared with large enterprises, small- and medium-sized enterprises will have more advantages in the performance of multi-level network embedding and disruptive innovation performance. Under the subjective performance measurement method, the promotion effect of multi-level network embedding is more prominent.Research limitations/implicationsThis study enriches the theoretical research of network embeddedness and disruptive innovation and provides management enlightenment for the network embeddedness strategy of enterprise disruptive innovation. Limited by data samples and article length, future research can further expand literature samples to test the stability of variable relationships and test the moderating effects of more internal and external factors.Originality/valueFirst, it constructs a theoretical analysis model of "point-line-surface" multi-level network embedding and disruptive innovation performance of enterprises and expands the theoretical analysis framework of network embedding and disruptive innovation performance. The second is to explore the influence mechanism of multi-level network embeddedness and enterprise disruptive innovation performance. Third, it deepens the theoretical understanding of the moderating variables of the impact of network embeddedness and enterprise disruptive innovation performance.
Keyword ：
Disruptive innovation Disruptive innovation Meta-analysis Meta-analysis Multi-network Multi-network Network embeddedness Network embeddedness
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| GB/T 7714 | Shen, Neng , Zhang, Jing , Cao, Yangchun . Find the "best evidence" of the relationship between network embeddedness and enterprise disruptive innovation performance [J]. | BUSINESS PROCESS MANAGEMENT JOURNAL , 2024 , 30 (7) : 2456-2481 . |
| MLA | Shen, Neng et al. "Find the "best evidence" of the relationship between network embeddedness and enterprise disruptive innovation performance" . | BUSINESS PROCESS MANAGEMENT JOURNAL 30 . 7 (2024) : 2456-2481 . |
| APA | Shen, Neng , Zhang, Jing , Cao, Yangchun . Find the "best evidence" of the relationship between network embeddedness and enterprise disruptive innovation performance . | BUSINESS PROCESS MANAGEMENT JOURNAL , 2024 , 30 (7) , 2456-2481 . |
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Industrial agglomeration is an important way to affect total factor energy efficiency (TFEE), and digitalization level (DL) and green technology innovation (GTI) can help improve the effect of industrial agglomeration. This research examines the impact of specialized industrial agglomeration (SIA) and diversified industrial agglomeration (DIA), the two main forms of industrial agglomeration, on TFEE under the mediating role of GTI and the moderating role of DL. Three main results were obtained based on the China's provincial data from 2010 to 2021. (1) Both SIA and DIA can significantly promote TFEE, but their effects are different. (2) GTI plays a mediating role in the positive promotion effect of DIA and SIA on TFEE. In addition, GTI not only has obvious inertial effects in time, but also has significant spillover effects in space. (3) DL not only strengthens the impact of SIA or DIA on TFEE, but also enhances the impact of SIA or DIA on GTI. The results show that DL and GTI are effective ways for industrial agglomeration to build a sustainable economy. The article finally puts forward policy recommendations, emphasizing accelerating digital transformation, strengthening industrial agglomeration planning, promoting green technology innovation, and adopting a multi-path development model. Copyright © 2024, AIDIC Servizi S.r.l.
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| GB/T 7714 | Shen, N. , Zhang, L. . How Does Industrial Agglomeration Affect Total Factor Energy Efficiency in China? Perspectives on the Collision of Digital and Green [J]. | Chemical Engineering Transactions , 2024 , 113 : 61-66 . |
| MLA | Shen, N. et al. "How Does Industrial Agglomeration Affect Total Factor Energy Efficiency in China? Perspectives on the Collision of Digital and Green" . | Chemical Engineering Transactions 113 (2024) : 61-66 . |
| APA | Shen, N. , Zhang, L. . How Does Industrial Agglomeration Affect Total Factor Energy Efficiency in China? Perspectives on the Collision of Digital and Green . | Chemical Engineering Transactions , 2024 , 113 , 61-66 . |
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In recent years, data has increasingly become the "new oil" for 21st-century economic development. However, there is still a gap in how the development of big data promotes the improvement of urban carbon unlocking efficiency (UCUE). Utilizing advanced double machine learning (DML) methods, and treating the big data comprehensive pilot zone (BDCPZ) as a quasi-natural experiment, we employ panel data from 282 Chinese cities spanning 2011 to 2022 to study the impact of big data policies on UCUE and its mechanisms. The study finds that: (1) Big data policies significantly enhance carbon unlocking efficiency, and their importance in carbon unlocking is confirmed even when alternative machine learning models are used.(2) Regarding the mechanisms, big data policies improve carbon unlocking efficiency through three pathways: government modernization, enterprise intelligent development, and economic transformation.(3) Heterogeneity analysis reveals that the carbon unlocking benefits of big data policies are more pronounced in large cities, old industrial base cities, digital economy dividend cities and key environmental protection cities. We also provide insights for strengthening the construction of big data, alleviating carbon emission pressures, and achieving the goals of "dual carbon".
Keyword ：
Big data policy Big data policy Double machine learning Double machine learning Mechanism analysis Mechanism analysis Urban carbon unlocking efficiency Urban carbon unlocking efficiency
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| GB/T 7714 | Shen, Neng , Zhang, Guoping , Zhou, Jingwen et al. Can big data policy drive urban carbon unlocking efficiency? A new approach based on double machine learning [J]. | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2024 , 372 . |
| MLA | Shen, Neng et al. "Can big data policy drive urban carbon unlocking efficiency? A new approach based on double machine learning" . | JOURNAL OF ENVIRONMENTAL MANAGEMENT 372 (2024) . |
| APA | Shen, Neng , Zhang, Guoping , Zhou, Jingwen , Zhang, Lin , Wu, Lianjun , Zhang, Jing et al. Can big data policy drive urban carbon unlocking efficiency? A new approach based on double machine learning . | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2024 , 372 . |
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Previous studies on policy interventions prompting electric vehicle (EV) adoption have mainly involved fragmented analyses of multiple policies using system dynamics models and evolutionary games. This study integrates these two approaches to examine EV policies in mainland China and compares their impact on the interaction between governments, consumers, and manufacturers. The results indicate that the annual sales of EVs are most heavily impacted by license plate restrictions, followed by battery capacity. They are most sensitive to the dual -credit policy (DCP) and least affected by government research and development (R&D) subsidies; meanwhile, all four policies increase the sales of EVs. A substitution relationship exists between the dual -credit policy and the government's R&D subsidies. A simulation analysis of the different scenarios confirmed the multiple impacts of several policy interventions on the increase in EV sales, which should be explicitly considered in EV policymaking.
Keyword ：
Electric vehicles Electric vehicles Evolutionary game Evolutionary game Policy intervention Policy intervention Policy performance Policy performance System dynamics System dynamics
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| GB/T 7714 | Deng, Rumeng , Shen, Neng , Zhao, Yuqing . Diffusion model to analyse the performance of electric vehicle policies: An evolutionary game simulation [J]. | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2024 , 127 . |
| MLA | Deng, Rumeng et al. "Diffusion model to analyse the performance of electric vehicle policies: An evolutionary game simulation" . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT 127 (2024) . |
| APA | Deng, Rumeng , Shen, Neng , Zhao, Yuqing . Diffusion model to analyse the performance of electric vehicle policies: An evolutionary game simulation . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2024 , 127 . |
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Overcoming technological R&D barriers and market diffusion pressures through innovative cooperation is an important channel in the evolution of disruptive technologies. Aiming at the evolution of disruptive technological innovation cooperation network, this paper combines technology life cycle theory with social network analysis method, the overall evolution and individual evolution characteristics of disruptive technological innovation cooperation network are analysed. The research results show that in the life cycle, disruptive technology has the characteristics of latent in the early stage and explosive after maturity. In terms of overall evolution, the scale of disruptive technological innovation cooperation network is expanding, but the cohesion and small-world level are decreasing, the intensity of knowledge exchange and information transmission is declining. About the core subject, there is a synergistic dynamic mechanism between the market and the government. In the evolution of cooperation model, it shows the development trend from poor cooperation model to exploring cooperation mode and cultivating cooperation mode. The research conclusion enriches and expands the theoretical research in the field of disruptive innovation, and can provide inspiration for the policy design and management optimisation of disruptive technological innovation cooperation network.
Keyword ：
Disruptive technology Disruptive technology evolution characteristics evolution characteristics innovative cooperation network innovative cooperation network social network analysis social network analysis
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| GB/T 7714 | Zhang, Jing , Cao, Yangchun , Shen, Neng . Research on the evolution of disruptive technological innovation cooperation network: a case study of blockchain and automatic driving technology [J]. | TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT , 2023 , 36 (10) : 3066-3081 . |
| MLA | Zhang, Jing et al. "Research on the evolution of disruptive technological innovation cooperation network: a case study of blockchain and automatic driving technology" . | TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT 36 . 10 (2023) : 3066-3081 . |
| APA | Zhang, Jing , Cao, Yangchun , Shen, Neng . Research on the evolution of disruptive technological innovation cooperation network: a case study of blockchain and automatic driving technology . | TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT , 2023 , 36 (10) , 3066-3081 . |
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二十大报告再一次提出要加快实施创新驱动发展战略，创新已然成为驱动经济高质量发展的第一动力。文章运用SWOT分析法，对福建省创新驱动高质量发展的环境展开分析，并发现福建省创新市场环境有待改善、产业结构亟须优化升级、区域虹吸效应较为显著。最后，本文构建了企业提质增效、产业高端升级、城市联动共赢、省域融合发展的政策路径，优化福建省高质量发展。
Keyword ：
SWOT分析 SWOT分析 创新驱动 创新驱动 高质量发展 高质量发展
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| GB/T 7714 | 沈能 , 张国平 . 创新驱动福建省高质量发展的路径对策 [J]. | 经济与社会发展研究 , 2023 , (11) : 22-25 . |
| MLA | 沈能 et al. "创新驱动福建省高质量发展的路径对策" . | 经济与社会发展研究 11 (2023) : 22-25 . |
| APA | 沈能 , 张国平 . 创新驱动福建省高质量发展的路径对策 . | 经济与社会发展研究 , 2023 , (11) , 22-25 . |
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绿色创新已成为区域实现高质量发展的重要驱动力。基于2008—2020年长江三角洲城市群26个城市的面板数据，采用超效率EBM模型测算长三角城市群绿色创新效率，分析其时空格局，并借助Kernel密度估计方法和马尔科夫链方法，解释长三角城市群绿色创新的动态演进。研究结果显示：（1）长三角城市群绿色创新效率整体呈现增长趋势，在地理空间上的“一极两核”绿色创新网络已基本形成。（2）长三角城市群绿色创新空间正相关性较为明显，但随着时间跨度的增加而减弱。（3）长三角城市群绿色创新发展趋势较为稳定，但随着时间跨度的延长，其流动性亦开始增强。鉴于此，本文提出要利用绿色技术进步推动产业结构升级，加强区域间绿色创新协同联动，同时要注重地区异质性。
Keyword ：
动态演进 动态演进 时空格局 时空格局 绿色创新效率 绿色创新效率 长三角城市群 长三角城市群
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| GB/T 7714 | 沈能 , 张霖 , 张静 . 长三角城市群绿色创新效率的时空格局和动态演进 [J]. | 南通大学学报(社会科学版) , 2023 , 39 (02) : 37-48 . |
| MLA | 沈能 et al. "长三角城市群绿色创新效率的时空格局和动态演进" . | 南通大学学报(社会科学版) 39 . 02 (2023) : 37-48 . |
| APA | 沈能 , 张霖 , 张静 . 长三角城市群绿色创新效率的时空格局和动态演进 . | 南通大学学报(社会科学版) , 2023 , 39 (02) , 37-48 . |
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The source separation and treatment of food waste is urgent for sustainable municipal solid waste (MSW) management. Household kitchen waste (HKW) is relatively difficult to manage as large amounts are produced by dispersed sources. Although many countries and regions have begun to promote HKW source sorting, controversy over whether and how this approach could improve the comprehensive benefits of MSW management remains. This study constructed four most potential HKW source separation scenarios, and compared their energy effi-ciency, environmental impact and economic benefits were with the baseline full waste-incineration scenario to provide foundation for HKW management policy formation. The results showed that, when the amount of MSW stabilized, promoting HKW source separation had no significant advantages, while the overall benefits of HKW separation would be further expanded with continuous increases in the generation amount of MSW, and the economic cost would be acceptable. The suitable application conditions of different source separation modes vary. Centralized anaerobic digestion of HKW is a suitable choice for regions determined to promote long-term HKW separation, since it could reduce environmental impact by 3%-51% over the baseline scenario, and the comprehensive benefits would be further accentuated as the source separation rate increased. Small-scale on-site biochemical HKW treatment should not be widely utilized as it has high pollutant emissions and costs per-unit. Food waste disposers (FWDs) achieved outstanding waste reduction effect, and the government could guide the purchase of FWDs by residents according to the urban drainage system conditions. HKW source dewatering required the lowest cost and effort, and could be a suitable solution for regions that cannot promote strict HKW source separation.
Keyword ：
Economic feasibility analysis Economic feasibility analysis Household kitchen waste Household kitchen waste Life-cycle assessment Life-cycle assessment Policy suggestion Policy suggestion Source separation Source separation
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| GB/T 7714 | Fei, Fan , Kosajan, Vorada , Shen, Neng et al. Promoting the source separation of household kitchen waste based on comprehensive evaluation and economic feasibility [J]. | JOURNAL OF CLEANER PRODUCTION , 2022 , 342 . |
| MLA | Fei, Fan et al. "Promoting the source separation of household kitchen waste based on comprehensive evaluation and economic feasibility" . | JOURNAL OF CLEANER PRODUCTION 342 (2022) . |
| APA | Fei, Fan , Kosajan, Vorada , Shen, Neng , Luo, Jing . Promoting the source separation of household kitchen waste based on comprehensive evaluation and economic feasibility . | JOURNAL OF CLEANER PRODUCTION , 2022 , 342 . |
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产业集聚情景下的绿色供应链呈现显著的网络化特征，使得成员间的绿色知识流动和共享过程也有其特殊性。文章基于集聚情景考察绿色供应链网络惯例创建的逻辑以及对绿色知识共享的作用机制，构建绿色供应链的知识异质性—网络惯例—知识共享的概念模型，多维度定量剖析了网络惯例对异质性知识共享的影响。选取我国国家生态工业园460份问卷数据对其进行实证检验和仿真模拟，结论表明：绿色供应链成员之间的异质性绿色知识决定联盟绿色合作过程中能否建立起稳定可靠的网络惯例，其中，绿色异质性知识的稀缺性与不可模仿性对网络惯例的建立正向影响较大。集聚情景正向调节绿色供应链异质性知识—网络惯例(规范认同)—知识共享的关系链。为此，应充...
Keyword ：
异质性知识 异质性知识 绿色供应链 绿色供应链 网络惯例 网络惯例 集聚 集聚
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| GB/T 7714 | 彭慧 , 沈能 . 集聚情景下网络惯例对绿色供应链异质性知识共享的影响——以生态工业园为例 [J]. | 中国管理科学 , 2022 , 30 (06) : 233-243 . |
| MLA | 彭慧 et al. "集聚情景下网络惯例对绿色供应链异质性知识共享的影响——以生态工业园为例" . | 中国管理科学 30 . 06 (2022) : 233-243 . |
| APA | 彭慧 , 沈能 . 集聚情景下网络惯例对绿色供应链异质性知识共享的影响——以生态工业园为例 . | 中国管理科学 , 2022 , 30 (06) , 233-243 . |
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