The development of a frame model for management strategies selection using fuzzy proximity

This research is to discuss management strategies selection and enterprise life cycle periods referencing fuzzy proximity from fuzzy set theory and based on the current development situation of enterprises in China. First, this paper measures the degree of proximity for eight kinds of management strategies and different enterprise life-cycle periods (the pioneering period, growth period, maturity period and recession period) using a fuzzy proximity vector. The eight management strategies include management idea innovation, management organization innovation, management method innovation, management culture innovation, management institution innovation, market innovation, business model innovation and performance management innovation. Second, this paper analyzes management innovation strategies in different enterprise life cycle periods, and verifies the consequences using an example of the developmental history of one engine manufacturing enterprise since 1997. Several conclusions can be drawn from this research: (1) The frame model of management innovation strategies in the enterprise’s life cycle is both reasonable and convincing as a reference for management innovation strategies selection when enterprises are developing. (2) The fuzzy proximity method can be applied to research where a management innovation strategy during a particular life cycle needs to be selected. Therefore, this research extends the application and scope of the fuzzy proximity method.     

海洋产业生态化关键因素识别

科学合理地识别海洋产业生态化的关键因素,判明各指标间相互影响程度和因果关系,对于现阶段海洋产业生态化转型至关重要.本研究以海洋产业生态化概念模型的提出为基础,从海洋产业结构生态化、海洋产业组织生态化、海洋产业生产方式生态化和海洋产业技术创新生态化4个方面构建区域海洋产业生态化的影响因素评价体系,应用DEMATEL方法分析各影响因素之间的关系,并绘制影响网络关系图.结果表明: 海洋产业生产方式生态化与海洋产业技术创新生态化处于评价的核心位置,是整个生态化水平评估维度的起因,影响着海洋产业组织生态化和海洋产业结构生态化.最后结合各个维度的具体指标,提出了改进和完善海洋产业生态化转型的相关对策和建议.     

Environmental Supply Chain Cooperation and Its Effect on the Circular Economy Practice‐Performance Relationship Among Chinese Manufacturers

Due to resource scarcity and environmental degradation, a new development concept emphasizing environmental concerns, called the circular economy (CE), has been enacted in legislation in China. This environmental management concept can be implemented at three levels, namely, region, industrial zone, and individual enterprise, with the objective of boosting economic development while lessening environmental and resource challenges. Environmental supply chain cooperation (ESCC), an approach that utilizes customer and supplier cooperation in environmental management, has been initiated among Chinese enterprises. Using survey data collected from 396 Chinese manufacturers, we examine the role of ESCC practices in influencing the relationship between implementing CE practices and the achievement of performance outcomes by testing the moderation and mediation effects of ESCC practices on the CE practice‐performance relationship through hierarchical regression analysis. Our data analyses indicate that ESCC practices are useful by moderation and, in some cases, essential by mediation, for Chinese manufacturers seeking to realize the performance targets desired in CE practices. The results highlight the need for Chinese manufacturers to improve supply chain coordination in their implementation of CE. On the policy side, our research findings suggest that ESCC practices are beneficial and, in some cases, necessary for the development of CE in China.     

The effect estimation and channel testing of the technological progress on China’s regional environmental performance

To study the effects of and approaches to technological progress on China’s regional environmental performance, this study first estimates China’s regional environmental performance and its variation indexes by applying a slack-based model (SBM) and an entropy-based model (EBM). The results indicate that the environmental performance in different regions of China has improved, but the rate of improvement differs greatly. This may be attributed to heterogeneous characteristics and changes in the green technology innovation level in different regions. Considering the overflow effect of environmental pollution among different regions, we study the impact of various technological progress patterns on China’s regional environmental performance using spatial econometrics, and we find that there are significant spatial effects of technology innovation, technology transfer, and imitative innovation on China’s regional environmental performance. Also, different technological progress patterns have different effects. Specifically, independent innovation has failed to effectively improve regional environmental performance, whereas the introduction of technology and imitative innovation have significantly improved this performance. Moreover, after the cross-items of independent innovation and human capital are introduced, the effects of technology introduction and imitative innovation on China’s regional environmental performance through the absorptive capacity of human capital remain significant, whereas the effect of independent innovation on regional environmental performance via the absorptive capacity of human capital becomes more obvious. Based on this and from the perspective of environmental enhancement, we believe that China should strengthen human capital accumulation and give consideration to imitative innovation and technology introduction while emphasizing independent innovation.     

Optimal path for sustainable development under the dual constraints based on endogenous growth algorithm

Constructing an economic growth model comprising dual resource and environmental constraints by introducing both environmental quality and non-renewable resources as endogenous factors also introducing the production and utility functions. This was used to systematically analyze the endogenous mechanism through factors such as non-renewable resource consumption, environmental pollution externalities, the accumulation of physical capital, human capital development, and endogenous technological advancement could influence long-term economic growth. The basic conclusion of the model suggests that under both resource and environmental constraints, it is investment in both human capital and research & innovation that is the main driving and determining factor for long-term sustainable economic growth. The optimal development strategy of economic sustainability can be achieved through supporting human capital accumulation and technological innovation activities, promoting the advancement of clean production technologies, and formulating stringent environmental standards, as well as strengthening the society’s awareness of the environment and sustainable development.     

Parasite effects on host’s trophic and isotopic niches

Wild animals are usually infected with parasites that can alter their hosts’ trophic niches in food webs as can be seen from stable isotope analyses of infected versus uninfected individuals. The mechanisms influencing these effects of parasites on host isotopic values are not fully understood. Here, we develop a conceptual model to describe how the alteration of the resource intake or the internal resource use of hosts by parasites can lead to differences of trophic and isotopic niches of infected versus uninfected individuals and ultimately alter resource flows through food webs. We therefore highlight that stable isotope studies inferring trophic positions of wild organisms in food webs would benefit from routine identification of their infection status.     

Engineering the Virtual Enterprise: An Architecture-Driven Modeling Approach

The managerial and organization practices required by an increasingly dynamic competitive manufacturing, business, and industrial environment include the formation of “virtual enterprises.” A major concern in the management of virtual enterprises is the integration and coordination of business processes contributed by partner enterprises. The traditional methods of process modeling currently used for the design of business processes do not fully support the needs of the virtual enterprise. The design of these virtual enterprises imposes requirements that make it more complex than conventional intraorganizational business process design. This paper first describes an architecture that assists in the design of the virtual enterprise. Then it discusses business process reengineering (BPR) as a methodology for modeling and designing virtual organizations. While BPR presents many useful tools, the approach itself and the modeling tools commonly used for redesign have fundamental shortcomings when dealing with the virtual enterprise. However, several innovative modeling approaches provide promise for this problem. The paper discusses some of these innovative modeling approaches, such as object-oriented modeling of business processes, agent modeling of organizational players, and the use of ontological modeling to capture and manipulate knowledge about the players and processes. The paper concludes with a conceptual modeling methodology that combines these approaches under the enterprise architecture for the design of virtual enterprises.     

Capturing Community Context of Human Response to Forest Disturbance by Insects: A Multi-Method Assessment

The socioeconomic and environmental features of local places (community context) influence the relationship between humans and their physical environment. In times of environmental disturbance, this community context is expected to influence human perceptual and behavioral responses. Residents from nine Colorado communities experiencing a large outbreak of mountain pine beetles (Dendroctonus ponderosae) were surveyed in 2007. Multiple analytic methods including ordinary least squares regression and multilevel modeling techniques were used to evaluate a community-context conceptual model of factors influencing individual actions in response to forest disturbance by beetles. Results indicated that community biophysical and socioeconomic characteristics had important impacts on participation in beetle-related actions and influenced the relationships of individual-level variables in the conceptual model with beetle-related activities. Our findings have implications for natural resource management and policy related to forest disturbances, and for developing a methodology appropriate to measure the general community context of human-environment interactions.     

From Data to Decisions: Helping Crop Producers Build Their Actionable Knowledge

Recent advances in distributed information technologies are providing the means to capture and process abundant data, and to reveal associations between variables describing the crop-environment-management interaction. This review describes the determinants and moderating factors influencing how much value a crop producer and his or her advisor can derive from data, and information derived from data. We describe the social, technological, and entrepreneurial processes needed to progress the nonlinear pathway from data to an on-farm decision, and explore the meaning of actionable knowledge; that is, knowledge that can be acted upon and applied to solve a real-world problem. We argue that effective decision support is also a system that supports the learning needs of crop producers and their transactions with trusted advisors. Crop protection, the sub-set of crop management used to mitigate crop loss, is used to illustrate current approaches and technologies to support farmers' decisions. We describe how situational awareness and actionable knowledge could be improved through use of emerging platform technologies, advances in artificial intelligence, consideration of farmer decision style, knowledge capture and maintenance, and embedding technology in human-centered services. Implications for the conduct of research and development are discussed.     

Reliability Analysis of the Groundwater Conceptual Model

The hydrologic model is the foundation of water resource management and planning. Conceptual model is the essential component of groundwater model. Due to limited understanding of natural hydrogeological conditions, the conceptual model is always constructed incompletely. Therefore, the uncertainty in the model's output is evitable when natural groundwater field is simulated by a single groundwater model. A synthetic groundwater model is built and regarded as the true model, and three alternative conceptual models are constructed by considering incomplete hydrogeological conditions. The outputs (groundwater budget terms from boundary conditions) of these groundwater models are analyzed statistically. The results show that when the conceptual model is closer to the true hydrogeological conditions, the distributions of outputs of the groundwater model are more concentrated on the true outputs. Therefore, the more reliable the structure of the conceptual model is, the more reliable the output of the groundwater model is. Moreover, the uncertainty caused by the conceptual model cannot be compensated by parameter uncertainty.     

城市废弃物资源化共生网络:概念、特征及体系解析

挖掘城市废弃物中有价值的资源,已经成为世界各国开展废弃物开发与管理的共同选择。产业共生是推动经济绿色发展和提高资源效率的战略工具,已经成为探讨废弃物资源化利用问题的重要视角。将产业共生理论引入城市废弃物资源化利用领域,提出城市废弃物资源化共生网络的概念,并将其典型特征概括为"四个统一",即价值网络与责任网络的统一,集聚共生与虚拟共生的统一,稳健型与脆弱性的统一以及自组织性与主体建构性的统一。借鉴超网络理论构建城市废弃物资源化共生网络体系的结构模型,并从共生单元、共生模式、共生界面和共生环境4个层面对该模型进行详细解析。城市废弃物资源化共生网络可分为核心网络和外围网络,两者之间存在全方位、多层次的合作机制。在城市废弃物资源化共生网络中,共生单元具有多层次性和多样性特征,它们之间存在着不同类型、效率各异的共生关系,推动共生模式向对称互惠一体化共生进化是破解城市废弃物资源化利用难题的关键;共生界面具有物质交换、能量传递、信息共享、知识传播及利益协调等多样化功能,而共生关系的进化以及共生界面功能发挥又依赖于优越的共生环境。此外,城市废弃物资源化共生网络有依托型、平等型、嵌套型和虚拟型等4种运作模式,国内典型案例分析表明这4种运作模式将长期并存。     

大尺度陆地生态系统科学研究的理论基础及其技术体系之探讨

大尺度的陆地生态系统科学研究是在生物多样性保护、应对全球气候变化、区域生态环境治理及全球社会经济可持续发展的科技需求背景下应运而生的生态学及生态系统科学前沿领域,并在我国的生态文明建设社会实践中快速发展.本文在系统论述大尺度陆地生态系统科学研究的科技使命基础上,重点梳理和探讨了区域及大陆尺度的生态系统科学研究理论基础和...     

生态产业共生网络形成机理及其系统解析框架

生态产业共生网络是由各种类型的企业通过经济、社会和环境方面的密切合作而形成的企业及企业间关系的复杂系统,其基本出发点是企业间必须具备环境合作,根本目的是提高资源生产力和生态效率。从形成生态产业共生网络的微观要素——企业环境责任入手,从环境伦理的角度阐释生态产业共生网络中企业的五类环境责任,并探讨其形成和运作机制——企业环境责任的市场化运作模式及约束机制。在此基础上,提出了基于技术可行性分析、经济可行性分析和社会环境可行性分析的生态产业共生网络三级解析框架,并对其解析方法做了探讨。     

Machine learning based control rights analysis of critical resources and the optimal ownership for management integration

The paper first divides control rights of critical resources into government macroeconomic regulation power and insider control power for the management. After the discussion of the current status of Chinese coal industry integration, the paper mathematically and empirically analyzes influences of the government and state owned enterprises’ management to ownership’s boundary, and suggests the optimal ownership in different cases. The contributions of the paper are as follows: (1) Based on incomplete contract theory, the paper builds two mathematical models -the model of management’s investment level of relationship-specific human capital and ownership boundary model demonstrating the government utility under different ownership cases; (2) With the application of numerical simulation and empirical test, the paper analyzes impacts on coal resource integration from the aspects of government regulation and insider control, and discusses the optimal option of ownerships. By the analysis of the control power and ownership boundary based on the models, the paper eventually raises the optimal option of ownership allocation.     

Breeding sovereignty: the production of race,nature, and capital in Venezuela

This article explores the efforts of the Venezuelan government to improve food security and rural livelihoods with an experimental cattle-breeding project. It investigates the activities of a state enterprise in the western plains and how the selective-breeding practices of veterinary experts intersect with the logic of capital and biopolitics. Contributing to debates on the interaction between society and environment, the analysis suggests that ‘endogenous development’, or the reduction of poverty through internal markets, draws on systems of knowledge that treat the biology of animals as a field of intervention for the resolution of social contradictions. To reduce reliance on petroleum rent and food imports, Venezuelan experts have sought to create a new breed of cattle suited to the nation's diverse ecologies. But the knowledge systems which guide this project are embedded with a host of cultural and economic assumptions that subvert the successful application of this biotechnology. Ultimately, this article seeks to increase knowledge of the techno-politics of resource states at the start of the twenty-first century and the ways in which cultures of expertise impact food sovereignty.     

High-capacity embedding of synfire chains in a cortical network model

Synfire chains, sequences of pools linked by feedforward connections, support the propagation of precisely timed spike sequences, or synfire waves. An important question remains, how synfire chains can efficiently be embedded in cortical architecture. We present a model of synfire chain embedding in a cortical scale recurrent network using conductance-based synapses, balanced chains, and variable transmission delays. The network attains substantially higher embedding capacities than previous spiking neuron models and allows all its connections to be used for embedding. The number of waves in the model is regulated by recurrent background noise. We computationally explore the embedding capacity limit, and use a mean field analysis to describe the equilibrium state. Simulations confirm the mean field analysis over broad ranges of pool sizes and connectivity levels; the number of pools embedded in the system trades off against the firing rate and the number of waves. An optimal inhibition level balances the conflicting requirements of stable synfire propagation and limited response to background noise. A simplified analysis shows that the present conductance-based synapses achieve higher contrast between the responses to synfire input and background noise compared to current-based synapses, while regulation of wave numbers is traced to the use of variable transmission delays.     

玉米酒精生态工程结构设计

从结构元,结构链和结构网3个层次对生态系统结构进行设计是生态工程设计的新思路,利用这一设计方法,依据生态工程和产业生态学原理,对黑龙江省肇东市玉米酒精生态系统的设计和试验研究表明,该设计方法简单,具有一定可操作性,是解决在维护环境基础上,提高系统整体效益的良好途径。但它同时又需要多学科 ,多部门的协作,因为只有企业之间和企业内部彼此形成一个资源互用,利益共享,拥有相互联系的共同体,系统才能共同解决面临的不同问题,肇东市金玉公司就是这样一个良好的典型。     

生态工业园共生网络的脆弱性

工业生态系统的稳定可持续运行是生态工业园区实现环境效益、经济效益和社会效益的重要保障,对生态工业共生网络脆弱性分析是工业生态学领域值得探讨的重要问题。运用复杂网络理论,从网络拓扑结构出发,论证该工业园具有小世界性和无标度性,为网络脆弱性分析奠定基础;通过攻击负载最大节点,利用网络效率和最大连通子图对网络的脆弱性进行分析,从而衡量节点失效对整个网络造成的破坏性。指出复杂网络在生态工业园共生网络中进一步研究的方向。     

生物多样性相关传统知识研究热点与前沿的可视化分析

传统知识研究目前已经成为生物多样性保护研究的热点领域, 并对生态系统服务管理、社区可持续发展等领域产生了重要影响。本文以Web of Science (WoS)数据库为数据源, 应用WoS自带的统计分析功能和可视化分析软件CiteSpace III, 采用关键词共现分析、突现词分析、文献共被引分析等方法对传统知识的研究态势、研究热点以及知识演进进行系统分析。研究发现, 传统知识研究的文献数量呈逐年上升趋势; 中国科学院、墨西哥国立自治大学、印度农业研究理事会、加州大学系统等研究机构在该领域表现出较强的科研实力; 非洲、南美洲的巴西、玻利维亚以及亚洲的印度等地区为传统知识研究的热点区域; Albuquerque UP、Singh R、薛达元在该领域发表的学术论文最多; Berkes F、Drew JA、Gómez-Baggethun E等学者发表的论文为该领域知识基础的构建及相关研究的推进奠定了坚实的基础。与生物资源管理、生物多样性保护、生态系统服务和人类福祉、政策管理等相关的传统知识研究是未来该领域的重要方向。