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Compared with wood pulp, straw pulp and papermaking, because of lower cost and abundancy of raw material, has become an indispensable approach in paper industry of China. However, its further application is limited by huge water consumption and wastewater discharge. By employing substance flow analysis, this study built up an optimization model and a performance evaluation system of water saving for the water-use network of a straw pulp and paper enterprise, after identifying the problems in present water consumption. Accordingly, an optimization plan was proposed to combine man-made water circulation with natural water circulation system. Additionally, a contrast analysis between the present and optimized water use was conducted. At last, we applied the proposed optimization plan to one of the most important and largest enterprises of straw pulp and paper industry in China as an illustration. Theoretically, water consumption could be reduced by 75.4 % without wastewater discharge after optimization. [ABSTRACT FROM AUTHOR]

Sustainable development has become society's focal point. In this context, China's paper industry needs to be more concerned about a low‐carbon strategy. Therefore, a carbon performance evaluation system must be built to guide the low‐carbon enterprise transformation. Based on the carbon value flow analysis, this study takes JX Paper (a paper‐making enterprise) as an example to construct a carbon performance evaluation system consisting of carbon input, transfer, and output indicators. The quantitative and qualitative index weights were determined through a principal component analysis and an analytical hierarchy process. The overall carbon performance increased from 2012 to 2021, but room remains for improvement. These results show that the performance evaluation system provides a helpful reference for enterprises to identify the key factors affecting carbon emissions and evaluate their carbon performance. Moreover, objective criteria should be developed to improve sustainable enterprise carbon performance and low‐carbon competitiveness. [ABSTRACT FROM AUTHOR]

The pervasiveness of digital media has profoundly transformed how we preserve and promote intangible cultural heritage (ICH). With the growing popularity of Douyin, a video-focused social networking platform, ICH inheritors in China have begun to post videos that showcase their artisanship. On the one hand, the affordances of Douyin encourage its users to keep up with the latest trend, subjugating them to mimetic participation; on the other hand, heritage policies in China foster the top-down formation of nationalist identity. Therefore, how heritage practitioners negotiate between the top-down authority of policies and the horizontal mimesis of the platform is a matter of concern. This paper applies performance analysis to explore the Douyin videos of a Chinese craftsperson, Li Niangen, a municipal ICH inheritor whose Douyin videos are highly popular. ICH policies in China and the affordances of the platform may support the formation of distinct identities. However, by assuming multiple and even contrasting roles in his videos, Li is fully engaged in none of them. This paper proposes that the presentation of multiple roles copes with the conflicting logic in Chinese society. In addition, the misalignment of these roles may simultaneously utilise and unsettle the administrative and digital authorities. [ABSTRACT FROM AUTHOR]

Watershed ecological compensation is an important means to protect the ecological environment and an important part of China's ecological civilization construction. It can promote the sustainable and coordinated development of a region, enhance the advantages of the ecological environment in the upstream area, and lay the foundation for the high-quality development of ecological tourism in the upstream area. The accurate evaluation of the effect and efficiency of ecological compensation is a prerequisite for optimizing and perfecting the ecological compensation system. In order to evaluate the effect and efficiency of watershed ecological compensation, this paper used the case study area of Anyuan County, an important ecological area of the Dongjiangyuan watershed in the pilot area of China's interprovincial watershed ecological compensation. This paper established an evaluation index system, used the entropy method and the data envelopment analysis (DEA) method to construct a watershed ecological compensation effect and efficiency evaluation model, and selected the ecological compensation index data from 2015 to 2020 to evaluate the effect and efficiency. This paper also constructed an econometric model to analyze their driving factors. The results showed that the effect of watershed ecological compensation was generally on the rise. Low pure technical efficiency (PTE) was the main reason for low comprehensive efficiency (CE), and the management efficiency of ecological compensation projects needs to be improved. The overall performance of scale efficiency (SE) was good, but there was still a problem of capital redundancy. Ecological compensation expenditure had a significant negative impact on the efficiency of ecological compensation, and ecotourism had a significant positive impact on the effect and efficiency of the ecological compensation. The results of this study can provide a scientific basis and theoretical reference for improving the effect and efficiency of watershed ecological compensation schemes. [ABSTRACT FROM AUTHOR]

The proper application of machine learning and genetic algorithms in the early stage of library design can obtain better all-around building performance. The all-around performance of the library, such as indoor temperature, solar radiation, indoor lighting, etc., must be fully considered in the initial design stage. Aiming at building performance optimization and based on the method of "generative design", this paper constructs the library's comprehensive performance evaluation workflow and rapid prediction combined with the LightGBM algorithm. A library in a cold region of China is taken as the research object to verify its application. In this study, 5000 scheme samples generated in the iterative genetic optimization process were taken as data sets. The LightGBM algorithm was used to classify and predict design schemes, with a precision of 0.78, recall rate of 0.93, and F1-Score of 0.851. This method can help architects to fully exploit the optimization potential of the building's all-around performance in the initial stage of library design and ensure the timely interaction and feedback between design decisions and performance evaluation. [ABSTRACT FROM AUTHOR]

Dedicated bus lane (DBL) is one of the effective measures to improve transit system efficiency and further promote transit priority. Then, the performance assessment of DBLs turns out to be an essential task for better reflecting the interests of all stakeholders. To this end, this paper presents a data-driven and multidimensional framework to objectively and accurately assess the detailed performance of DBLs from the perspective of passengers, government, and operators, respectively, in which multiple data sources (i.e., IC card and GPS data) and corresponding mining technologies are adopted to establish a series of criteria, enabling a before-and-after comparison for DBL opening. The proposed model has been applied to evaluate the efficiency of the DBL system in the city of Chongqing, China. The results reveal the benefits of opening DBLs, especially for government interests, in which DBLs use less public resources to expand more public welfare. But its role in strengthening transit system competitiveness is diminished, because the opening of DBLs did not significantly increase speed and volume. [ABSTRACT FROM AUTHOR]

The performance evaluation results published by the Institute of Higher Education in December 2009 have attracted wide attentions worldwide. This paper explores find gap between Chinese universities and world-class as well as the gap among Chinese universities. Research performance is measured by taking the indicators, including the number of publications and patents, total cites, h-index received by each research institute. We discussed scaling relationships between number of citations and number of publications and patents. [ABSTRACT FROM AUTHOR]

Plant protection unmanned aircraft vehicles (UAVs) were developed rapidly in China. The operation performances of different models of UAVs were different. This paper systematically studied droplet deposition distribution; pesticide-mixture utilization rate; operational efficiency; wheat-disease control efficacy; and a comprehensive score of three types of UAVs, a boom sprayer, and a knapsack sprayer. The results showed the descending order of the droplet penetration rate of the pesticide application equipment (PAE) was boom sprayer; UAVs; and knapsack sprayer. The pesticide-mixture utilization rates of the UAVs and boom sprayer were more than 50% while that of the knapsack electric sprayer was only 27.8%. The UAVs' average labor productivity was 5.75 ha per man-hour, which was slightly less than that of the boom sprayer and 21.3 times that of the knapsack sprayer. The control efficacy of each machine on wheat Fusarium head blight was more than 90%. The average performance comprehensive score of the UAVs was 0.812, which was slightly lower than the score of 0.929 for the 3WPZ-700 self-propelled boom sprayer but much higher than the score of 0.399 for the 3WBD-18 knapsack electric sprayer. The results clearly showed the potential of UAVs for improving the pesticide-mixture utilization rate and operational efficiency, as well as the wheat Fusarium head blight control efficacy. [ABSTRACT FROM AUTHOR]

With the centralization of wind power development, power-prediction technology based on wind power clusters has become an important means to reduce the volatility of wind power, so a large-scale power-prediction method of wind power clusters is proposed considering the prediction stability. Firstly, the fluctuating features of wind farms are constructed by acquiring statistical features to further build a divided model of wind power clusters using fuzzy clustering algorithm. Then the spatiotemporal features of the data of wind power are obtained using a spatiotemporal attention network to train the prediction model of wind power clusters in a large scale. Finally, the stability of predictive performance of wind power is analyzed using the comprehensive index evaluation system. The results show that the RMSE of wind power prediction is lower than 0.079 at large-scale wind farms based on the prediction method of wind power proposed in this paper using experience based on the data of 159 wind farms in the Nei Monggol Autonomous Region in China and the extreme error is better than 25% for the total capacity of wind farms, which indicates high stability and accuracy. [ABSTRACT FROM AUTHOR]

In order to explore an effective way to evaluate the comprehensive performance of high-quality development of China's manufacturing industry based on low-carbon constraints, this paper, based on the analysis of research background, drew on the latest domestic and international research results and experience, and fully considered the actual situation of high-quality development of China's manufacturing industry based on low-carbon constraints. Among the five criteria-layer evaluation index of economic development, energy consumption, technological innovation, environmental pressure and environmental pollution governance, 30 representative operating-layer evaluation indicators were selected, and a fuzzy matter-element extension evaluation model for the comprehensive performance evaluation of China's provincial high-quality development based on low-carbon constraints was constructed. By using the relevant statistical data in China Statistical Yearbook, China Energy Statistical Yearbook and China Environmental Status Bulletin, this paper conducted an evaluation study on the comprehensive performance of high-quality development of China's manufacturing industry based on low-carbon constraints in 31 provinces, verified the effectiveness of the fuzzy matterelement extension evaluation model, and provided an effective quantitative analysis method for the comprehensive performance evaluation of high-quality development of China's manufacturing industry based on low-carbon constraints. [ABSTRACT FROM AUTHOR]

Copyright of Natural Gas Industry is the property of Natural Gas Industry Journal Agency and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the development of intelligent technology and the rapid growth of economic income of new energy enterprises in China, the research on the influencing factors of enterprise innovation performance has gradually emerged. Based on this, this paper studies the influencing factors and evaluation models of Chinese new energy enterprises' innovation performance based on the perspective of industrial policy. The innovation is to accurately analyze the influencing factors of enterprise innovation performance through optimizing genetic algorithms. Data acquisition is realized from the aspects of enterprise salary system status, technology R & D investment, performance evaluation, etc., and comprehensive analysis and evaluation are carried out by using genetic algorithm. The algorithm can realize multiple analysis and objective evaluation of the core influencing factors of innovation performance of China's new energy enterprises, according to the different characteristics of China's new energy enterprises and the current situation of enterprise income accurate analysis and evaluation. The results show that the innovation performance evaluation model of China's new energy enterprises based on the perspective of industrial policy has the advantages of high scientificity, good sorting effect of variable mass classification and better data demand, which can effectively analyze and compare the factors affecting the innovation performance of China's new energy enterprises with different masses. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Educational Studies (1673-1298) is the property of Journal of Educational Studies Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study explores a performance measurement system for a dynamic supply chain partnership in a cross-cultural context. An initial framework is constructed by reviewing the existing literature, followed by an in-depth case study in the Chinese automotive industry, where the framework is refined to address the multi-cultural setting. A performance measurement, system which includes the relationship strategy and operational measurement criteria for a supply chain partnership, has been developed. The relationship strategy contains elements of strategy orientation, management style, interdependence, mutual organisational characteristics and common goals. The operational measurement criteria consist of commitment, trust, communication behaviour, information sharing, participation decision, quality, production performance, delivery, cost, supplier strength, attitude, compromise and loyalty. The last three operational measurement criteria are found to be particularly relevant to the cross-cultural feature. While existing studies tend to focus on either specific measures or individual organisations, this paper for the first time proposes a comprehensive framework to measure the performance of supply chain partnerships. The cross-cultural perspective provides a further unique view on how a performance measurement system can be responsive to the dynamics in practice. [ABSTRACT FROM AUTHOR]

Steel slag (SS) is industrial waste, and there is a large amount of SS to be treated in China. Its disposal generates severe environmental pollution. One of the best ways to use SS is as a road base material. This paper reviews the possibility of using SS in semi-rigid base and evaluates the performance of SS base course. The interaction between three stabilizers (cement, lime–fly ash, and cement–fly ash) and SS is analyzed, and the influence of modifier content on the performance of base course is evaluated. The potential laws between SS, curing time, and unconfined compressive strength, as well as drying shrinkage and temperature shrinkage, are discussed and their effects on the performance of the base course are revealed. The finite element method, discrete element method, and molecular dynamics can be used to analyze the freeze-thaw, rutting resistance, and crack development of SS base. In addition, compared with traditional macadam base, the CO2 emissions for the use of SS base are slightly more, one of the disadvantages of its use in production, transportation, and compaction. However, considering the overall mechanical, economic, and environmental benefits, it is recommended to use SS in semi-rigid base course. The future research scope of SS as base material is suggested. [ABSTRACT FROM AUTHOR]

The research aims to improve the competitiveness of Chinese banking enterprises and China's banking industry in an increasingly competitive economic globalization (EG) environment. This paper takes research and development (R&D) investment as a practical method to improve the competitiveness of banks. Firstly, it introduces the enterprise sustainable development (SD) theory and total factor productivity (TFP) theory and analyzes the importance of R&D innovation to the development of banks. Then, radial basis function (RBF) network is proposed to test the impact of bank R&D investment on enterprise performance. Therefore, a bank performance evaluation (PE) system based on the Internet of Things (IoT) is established. Secondly, block matrix (BM) and the incremental learning algorithm are used to optimize the RBF network. The RBF network model is further improved, and the RBF network model based on the IoT cloud platform (CC-RBF) is proposed, which improves model convergence speed and accuracy. The results show that (I) BM and incremental learning algorithm can greatly simplify the calculation and improve the efficiency of RBF network model. (II) Bank R&D investment will significantly improve TFP. (III) The proposed CC-RBF network model can improve prediction accuracy and reduce the model training time. The research content provides a reference for analyzing the impact of bank R&D investment on bank performance. [ABSTRACT FROM AUTHOR]

Current bridge codes in the US, Europe, and China specify vehicular collision loads for the design of piers. However, the performance of piers designed according to current codes in the three countries or regions is unknown yet. This paper presents a performance evaluation of concrete-filled steel tubular (CFST) piers subjected to vehicle collision. Before the evaluation, bridge specimens with a single CFST pier were designed in accordance with current bridge and structural codes in the three countries or regions, respectively. Then, a detailed finite-element (FE) model for simulating a truck collision with a CFST pier was developed and validated. By comparison with seven simplified FE models, the detailed FE model was further confirmed to be employed for the evaluation. In the evaluation, the effects of current codes in the three countries or regions, whether or not the vehicular collision load is considered, two pier heights (i.e., 6 and 12 m), two truck weights (i.e., 20 and 40 tons), and three impact speeds (i.e., 60, 100, and 140 km/h) on the performance of CFST piers were investigated. The evaluation results indicated that when a CFST pier in seismic zones is designed to resist vehicle collision according to current codes in the US and China, it only needs to meet the requirements of seismic design without additional consideration of the vehicular collision load. Moreover, a preliminary application condition should be added for the vehicular collision load specified by the current bridge code in Europe, that is, when the truck weight is more than 20 tons and/or the pier height is lower than 12 m. [ABSTRACT FROM AUTHOR]

Reverse referral implies referring patients from a comprehensive hospital to a community healthcare centre. In recent years, it has become popular for post-acute care in the tiered Chinese hospital system as it helps achieve more balanced utilisation between facilities at different levels. Nevertheless, it remains unclear how to implement the reverse referral partnership given the likely conflicting interests between the involved hospitals. In this paper, we evaluate a reversal referral partnership involving one hospital of each type, for which we develop queuing models for the two hospitals to capture multiple patient waits, services and transitions, with reverse referral in place. We use queuing-based performance outcomes to evaluate the profitability of each hospital and its willingness to join the partnership. We combine the above evaluations to further assess the partnership effectiveness. Through this work, we expect to provide policy insights to the government for forming hospital partnerships effectively. [ABSTRACT FROM PUBLISHER]

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The prefabricated reinforced concrete (RC) hollow slab bridges, with the advantages of high quality, lower cost and shorter construction period, have been widely used for small-to-medium-span highway bridges in China. Because of environmental deterioration and traffic volume increases, the performance of the bridge system deteriorates gradually. Accurate bridge system evaluation can provide a reliable basis for maintenance and management. A bridge system is composed of multiple interrelated components, which makes the system reliability evaluation become a computationally intractable work. In this paper, an effective method was proposed to evaluate the system reliability of the prefabricated RC hollow slab bridge considering hinge joint damage based on the modified analytic hierarchy process (AHP). Considering the subjectivity of the traditional AHP method in constructing the judgment matrix, this paper proposed an objective construction method of the judgment matrix to modify the traditional AHP. The modified hinge plate method (MHPM) proposed by the previous research was utilized to analyze the effect of hinge joint damage on system reliability. In order to verify the applicability of the proposed system reliability evaluation method, a simply supported RC hollow slab bridge was selected as the case study and the system reliability indexes were compared with the traditional series and parallel methods. The results indicated that the traditional methods were either too conservative or too radical to objectively evaluate the actual system reliability level of the structure. In contrast, the proposed method in this paper was more suitable for evaluating the system reliability of such bridges, and more accurate in providing maintenance decision makers with a relatively reasonable bridge condition information. [ABSTRACT FROM AUTHOR]

China's maritime communication regulatory departments have issued some corresponding regulatory policies to ensure the sound development of China's maritime communication, but the evaluation of the regulatory performance of these policies has not been taken seriously, and some existing studies still lack a set of performance evaluation models verified by empirical studies. Based on this, this paper first uses principal component analysis method to establish an exploratory model of China's maritime communication regulation performance evaluation based on the maritime communication data of 31 provinces, municipalities and autonomous regions in China. On this basis, it uses BP neural network algorithm to verify the model and finally establishes a model of China's maritime communication regulation performance evaluation, thus providing a useful reference for China's maritime communication regulation. [ABSTRACT FROM AUTHOR]

Copyright of Taiwan Economic Forecast & Policy is the property of Institute of Economics, Academia Sinica, Taiwan Economic Forecast & Policy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

While TCP has been extensively studied in static and low speed mobility situations, it has not yet been well explored in high speed mobility scenarios. Given the increasing deployment of high speed transport systems (such as high speed rails), there is an urgent need to understand the performance and behavior of TCP in such high speed mobility environments. In this paper, we conduct a comprehensive study to investigate the performance and behavior of TCP in a high speed environment with a peak speed of 310 km/h. Over a 16-month period spanning four years, we collect 500 GB of performance data on 3/4G networks in high speed trains in China, covering a distance of 108,490 km. We start by analyzing performance metrics, such as RTT, packet loss rate, and throughput. We then evaluate the challenges posed on the main TCP operations (establishment, transmission, congestion control, flow control, and termination) by such high speed mobility. This paper shows that RTT and packet loss rate increase significantly and throughput drops considerably in high speed situations. Moreover, TCP fails to adapt well to such extremely high speed leading to abnormal behavior, such as high spurious retransmission time out rate, aggressive congestion window reduction, long delays during connection establishment and closure, and transmission interruption. As we prepare to move into the era of 5G, and as the need for high speed travel continues to increase, our findings indicate a critical need for efforts to develop more adaptive transport protocols for such high speed environments. [ABSTRACT FROM AUTHOR]

This paper applies Industry Convergence model to evaluate the input-output efficiency of agricultural development from 2006 to 2008, measures and assesses whether the financial agricultural development input expands the coverage of local agricultural development according to the degree of economic and financial input into agricultural development. The study shows that the economic and financial input into agricultural development in a majority of areas in our country is not adequate, that the use of agricultural development fund is not reasonable, and that the financial input into agricultural development can seldom expand the coverage of local agricultural development. Finally, from facilitating economic development, increasing financial income, enhancing financial support for agricultural development, making reasonable use of agricultural development and expanding the coverage of agricultural development, the paper proposes the measure of increasing the input-output efficiency of agricultural development. [ABSTRACT FROM AUTHOR]

This paper mainly demonstrates some experiences in China regarding surface damage inspection and performance evaluation of reinforced concrete (RC) bridges. To begin with, the mechanisms of the major damages of RC bridges such as chloride attack, concrete carbonation, and rebar corrosion are briefly reviewed. A statistical result of concrete cracking that exists in (prestressed) concrete bridges is presented as well. Second, the inspection practices of surface damages such as crack by using computer vision and deep learning on the RC pylons of the Jiang‐Yin Yangtze River bridge are demonstrated. Third, the specifications used in China for the performance evaluation of RC bridges are introduced. Its general philosophy and framework are explained. The Xia‐Men bridge is taken as an example to illustrate how to conduct a quantitative performance evaluation by following the instructions in China specifications. Finally, some perspectives on more advanced and efficient inspection techniques and performance evaluation methods are provided. [ABSTRACT FROM AUTHOR]

Making use of econometric models in Shandong province of China, the paper verifies a method which can calculate the scale of positive externality measured in currency caused by enterprises' activity, and evaluates the performance of government fiscal expenditure for energy conservation and environmental protection in internalizing the positive externality of enterprises' activity in industrial system. Firstly, with the aid of the economic implications of econometric model parameters and the coefficient of determination, we separate the share of resource saving and the pollutant emission reduction caused by government fiscal expenditure from the total industrial resource saving and pollutant emission reduction; secondly, the environmental value of unit pollutant emission reduction and unit resource saving is estimated by using the data of the amount of pollutants removed from the regional industrial system and the operating costs of the relevant facilities; thirdly, with the aid of data on this expenditure and environmental value of unit pollutant emission reduction and unit resource saving, we monetize the scale of positive externalities of the entire regional industrial system; finally, the performance evaluation indicator is constructed to evaluate the performance of government fiscal expenditure for energy conservation and environmental protection in Shandong Province and typical municipal governments. The paper draws several conclusions: It is reasonable to use the internalization degree of positive externalities as the performance evaluation key indicator of government fiscal expenditure for energy conservation and environmental protection; there is a problem of low performance in regulating the positive externalities of enterprises in Shandong Province; the performance level can be improved by adjusting the expenditure structure of energy conservation and environmental protection funds; environmental values of unit pollutant emission reduction and unit resource conservation have obvious spatial differences, which has a significant impact on fiscal expenditure performance for energy conservation and environmental protection. [ABSTRACT FROM AUTHOR]

Purpose: The topic of employees' unethical pro-organizational behavior (UPB) has attracted more and more interest in both practice and academic fields. However, previous studies have mainly investigated the antecedents of UPB and little research has discussed the outcome variables. This study aims to provide a comprehensive understanding of the effect mechanism of UPB on employee performance evaluation rated by a supervisor through a leader-member exchange (LMX) and the moderating role of supervisor bottom-line mentality (BLM). Design/methodology/approach: This study used a sample consisting of 304 employees and 96 supervisors in several manufacturing firms in China. The authors used hierarchical linear modeling to test the hypotheses, as this was cross-level research. In addition, this paper also uses Mplus7.4 to test the moderating effects of supervisor BLM on the indirect effects between the UPB and performance evaluation by a moderated path analysis. Findings: The results confirm that UPB is positively related to performance evaluation rated by supervisors. Additionally, the mediating effect of LMX in the relationship between UPB and performance evaluation is successfully demonstrated. Furthermore, supervisor BLM cross-levelly moderates the relationship between UPB and LMX, as well as moderates the mediation effect of LMX on the correlation between UPB and performance evaluation. Research limitations/implications: The primary contribution of this research is building a cross-level model for the effect of UPB on followers' performance evaluation scored by the supervisor and thereby extending the nomological networks of both UPB and performance evaluation literature. Another contribution the study makes to the literature is that it provides a new perspective to understand how UPB relates to followers' performance evaluation. Originality/value: This is the first study about how and when UPB predicts followers' performance evaluation rated by the supervisor. [ABSTRACT FROM AUTHOR]

Urban comprehensive carrying capacity is an important guarantee and external representation of regional sustainable development. Based on urban comprehensive carrying capacity, this paper constructed a performance evaluation index system of urban comprehensive carrying capacity, and used entropy method, urban comprehensive carrying capacity measurement model and urban sustainable development model to measure spatial and temporal comprehensive carrying capacity of Harbin City in Heilongjiang Province from 2012 to 2017. The results show that: 1) index weight analysis suggested the regional development mode in Harbin still followed an epitaxial development mode, which pursued the expansion of scale and the growth of total amount of regional development, neglecting the effective utilization of resources and the improvement of structural benefits. 2) In the pressure system, the index of resource support has dropped sharply. The index of environmental capacity and social progress has risen circuitously, while the degree of agglomeration and the value of transportation facilities have risen steadily; in the pressure system, the index of population development and economic growth tended to fluctuate, while energy consumption and environmental pollution showed a more synchronous change in characteristics, and the livable demand remained at a high level. 3) The carrying capacity index of resources and environment in Harbin has been declining, and the acquired carrying capacity index fluctuated. The long-term regional development model has severely impaired the carrying capacity of resources and environment. 4) The comprehensive carrying capacity of Harbin has clear spatial differentiation characteristics. Finally, the paper proposes that location conditions, economic development level, government regulation, and science and technology are the main factors influencing the spatial differentiation of urban comprehensive carrying capacity. [ABSTRACT FROM AUTHOR]

Purpose -- Human resources have become a key issue in relation to the strong competition between service firms. Therefore, the purpose of this paper is to explore the relationship between high-performance human resource management (HRM) within this field to firm performance, making a useful attempt to explore the "black box" of enterprise human resources management effect on firm performance. Design/methodology/approach -- In order to validate the relationship between high-performance HRM and firm performance, Chinese service industry samples were collected. Structural equation modeling and regression are adopted to estimate the direct effect of high-performance HRM on firm performance and the mediating role of innovation. Findings -- The results show that the impacts of high-performance HRM on firm performance are significant. Moreover, innovation plays a partial mediating role between them. Training, work analysis and employee participation has a significantly positive impact on firm performance, while effects of profit sharing, employee development and performance evaluation on enterprise performance is not significant. The results strongly support the hypothesis that innovation holds intermediary variables between high-performance HRM and firm performance. Practical implications -- Studying the relationship between high-performance HRM and firm performance can help Chinese enterprises more reasonable and effective learning foreign advanced management ideas and methods. And then can help Chinese enterprises to establish a high-performance HRM system that is suitable for Chinese enterprises; the research can help enterprises to identify meaningful practice of human resources management, outstanding keys, and perfect the HRM system of enterprises; research on innovation and innovative thinking is conducive to develop employees' innovation motive, promote employee' innovative behavior, and improve firm performance. Originality/value -- This paper takes innovation as a mediating variable into the model and studies the intermediary role of innovation. [ABSTRACT FROM AUTHOR]

In this paper, we propose a new method to estimate the wave height of a specific return period based on the Hurst rule and a self-affine fractal formula. A detailed description of our proposed model is presented in this paper. We use the proposed model to analyze wave height data recorded along the coast of Chaolian Island from 1963 to 1989. The results show that the performance of our proposed model in estimating design wave heights is superior to traditional models. [ABSTRACT FROM AUTHOR]

With the rapid development of hydraulic fracturing technology, shale gas has become a significant natural gas resource in China. At present, SRV (stimulated reservoir volume) fracturing technology is widely used to exploit shale gas reservoirs. To evaluate the shale gas reserves and design a development plan, a simple and rapid method is needed to predict the production and performance of the multistage fractured horizontal wells with stimulated reservoir volume in shale gas reservoirs. Network fractures with different lengths and widths are not symmetrical to the horizontal well. To account for the complexity of the fracture system and desorption characteristics of shale gas, a semianalytical multiregion seepage model has been established to analyze the performance of multiple fractured horizontal wells. In this paper, a triple‐porosity dual‐permeability model is developed for simulating the flow mechanism of shale gas. Different lengths and widths of network fractures, different fracture intervals, and asymmetry distribution are considered in this model. By employing the principle of Poisson's superposition and Bessel transformation, the fundamental solution of instantaneous point source function has been derived to calculate the pressure response of each hydraulic fracture. Then, the mathematical model for unsteady performance evaluation in multiple fractured horizontal wells has been obtained to simultaneously solve the pressure response of every hydraulic fracture. The sensitivity analysis in terms of the lengths and widths of network fractures, fracture intervals, and the asymmetry distribution of a complex fracture system is presented. The research results show that the SRV morphology will exert a great influence on the performance of multiple fractured horizontal wells. [ABSTRACT FROM AUTHOR]

The rapid and large-scale construction of urban rail transit in China in recent years has drawn worldwide attention. The progress report and analysis would be a good reference for regional urban transit planning and policy, and for financial investment and service improvement in future. This paper offers a high-level summary of infrastructure statistics. In particular, this paper reviewed the spatial service coverage, passenger service performance and operational efficiency of urban rail transit in Mainland China and analyzed the development characteristics, such as the developing scales and multi-type urban rail transit modes based on the Annual Report of the China Urban Mass Transit work from 2008 to 2015. Suggestions and trends for further development of urban rail transit in China are proposed. [ABSTRACT FROM AUTHOR]

Data analytics is at the core of the supply chain for both products and services in modern economies and societies. Big data workloads, however, are placing unprecedented demands on computing technologies, calling for a deep understanding and characterization of these emerging workloads. In this paper, we propose ShenZhen Transportation System (SZTS), a novel big data Hadoop benchmark suite comprised of real-life transportation analysis applications with real-life input data sets from Shenzhen in China. SZTS uniquely focuses on a specific and real-life application domain whereas other existing Hadoop benchmark suites, such as HiBench and CloudRank-D, consist of generic algorithms with synthetic inputs. We perform a cross-layer workload characterization at the microarchitecture level, the operating system (OS) level, and the job level, revealing unique characteristics of SZTS compared to existing Hadoop benchmarks as well as general-purpose multi-core PARSEC benchmarks. We also study the sensitivity of workload behavior with respect to input data size, and we propose a methodology for identifying representative input data sets. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this paper is to examine the joint influence of technological newness (TN) and market newness (MN) on the relationship between customer involvement (CI) and new product performance.Design/methodology/approach The authors employed hierarchical moderated regression analysis to test the hypothesized relationships using survey data collected from 214 Chinese manufacturing firms.Findings The authors found that the impact of CI on new product performance varies across the different configurations of TN and MN. Specifically, the performance effect of CI is most positive under low TN and high MN, while the performance effect is least positive under low TN and low MN.Originality/value This study enriches CI research by identifying different configurations of product innovativeness that augment or limit the value of CI. [ABSTRACT FROM AUTHOR]

Performance evaluation in construction safety is of great importance to further improve upon safety management processes. This paper develops a data envelopment analysis (DEA) based framework to evaluate the construction safety performance at the macro level. The core of the method is to compare the output-input ratio of construction safety. Using the building practitioner, construction machinery and equipment, and construction area as the inputs, and value added of construction and death toll as the outputs, safety performance score is computed for the China's provincial construction industries from 2009 to 2017. The results show that the number of benchmark provinces every year is between five and seven. The gap between the best-performing and underperforming province was relatively small in 2012 and big in 2014. Beijing, Qinghai, Hainan, Fujian, Chongqing, and Tianjin can be utilized as role models for the provinces that need to improve their performance in construction safety. The eastern region has the highest score in construction safety performance, followed by the western and central region. This study provides an effective solution to solve performance issue in regional construction safety and improves the tradition performance evaluation system to a certain extent. [ABSTRACT FROM AUTHOR]

Regular network data envelopment analysis (NDEA) models for calculating the efficiency of decisionmaking units (DMUs) with two-stage construction requires the data set to be deterministic. In the real world, however, there are many observations that have stochastic behavior. This paper proposes a network DEA with two-stage structures models by the attention to stochastic data. The stochastic two-stage network DEA models are formulated based on the P-models of chance constrained programming and leader-follower concepts. On the basis of probability distribution properties and by the assumption of stochastic single factor components of data set, the probabilistic form of models is transformed to the equivalent deterministic linear programming model. In addition, the relationship between each stage as leader or follower is discussed. A real case on 16 commercial banks in China has been clarified to confirm the applicability of the proposed approaches under different levels. [ABSTRACT FROM AUTHOR]

Based on the data of China's ecological environment from 2006 to 2018, the paper uses the super-efficiency DEA and Malmquist index methods to evaluate China's ecological welfare performance from a static and dynamic perspective. Based on this, the Theil index is used to analyze the group's ecological welfare performance. The internal and intergroup differences show that, from the static evaluation results, China's ecological welfare performance is in a situation of "high in the east, low in the west, and average in the central region." There is not much difference between the eastern and central regions, while the ecological welfare performance in the western region is low. From the results of dynamic evaluation, the overall level of regional ecological welfare performance in China has improved in recent years, and the average Malmquist index has exceeded 1, indicating that the growth pattern of ecological welfare performance has shifted to high quality, but the degree of increase in each region is different. There is still much room for improvement in ecological welfare performance; from the perspective of intragroup and intergroup differences, the intragroup differences and intergroup differences in the three major regions have generally maintained a continuous downward trend, and the contribution of the differences in ecowelfare performance between group rate has a clear advantage. Finally, corresponding suggestions are put forward based on the empirical results of the paper. [ABSTRACT FROM AUTHOR]

China has made huge economic achievements based on industry. Heterogeneity, resulting from the industrial structure, energy endowment, and infrastructure among regions, has always been neglected on industrial performance evaluation. This paper focuses on provincial industrial heterogeneity to make a study. Firstly, meta-frontier slack-based measure is employed to rate industrial energy and environment efficiency of China. Besides, spatial evolution characteristics of efficiencies are described by global Moran's I and local Moran's I index. Taking the spatial correlation effect of efficiency into consideration, factors driving Chinese industrial energy and environment efficiency are analyzed and distinguished by quantitative regression and spatial Durbin model. It finds that (1) technical inefficiency and managerial inefficiency mainly attribute to the inefficiency of industrial energy and environment. (2) Chinese industrial energy and environment efficiency presents a stable spatial agglomeration as "high aggregation, low aggregation." It is necessary and indispensable for provinces and regions to cooperate to enhance efficiency. (3) Each province has a distinct driving mechanism of efficiency. The improvement policy of efficiency should be diversified for different provinces. [ABSTRACT FROM AUTHOR]

During the 13th Five-year plan in China it was felt that our economic development needed a new engine. As a strategic emerging industry, the new energy industry should meet the new opportunities. With the market opening ever wider, the competition among the new energy enterprises is getting fiercer, which imposes higher requirements on their management. A new performance evaluation system of new energy enterprise is proposed in this paper, including debt paying ability, operation ability, profitability and social responsibility. In order to better reflect the dynamic relationship between the indicators, an evaluation model based on the multi-level gray fuzzy optimization model is proposed, and five new energy listing Corporations' performance are evaluated. The results could provide scientific evidence to investors and owners to understand the enterprise competitive advantages and disadvantages. It is also better conducive to the development of China's new energy industry in the future and to promote the improvement of the new energy industry. [ABSTRACT FROM AUTHOR]

The development of economy promotes the improvement of living standards, but the environment has been severely damaged, and it greatly affects the survival and development of human beings. In addition, most Chinese families have only one or two children, who are treated as hottest babies, because of the one-child policy. This asks for higher medical service quality when the child is sick. Moreover, there is a serious lack of medical resources, clinical nurses with abundant experiences in particular. Therefore, in order to provide high-quality medical care and rehabilitation environment for children and protect children healthy growth, the study on the performance evaluating system of pediatric clinical nurse would be of great significance. The background and related theories are reviewed in this paper and the analytic hierarchy process (AHP) method has been employed to construct an index system for pediatric clinical performance appraisal from four aspects: professionalism, knowledge level, professional ability, work performance, which totally involve 16 level-Π indexes. An analysis summary was also made at last. The index system has important reference value to improve the level of pediatric care, pediatric clinical nurse management and performance appraisal. [ABSTRACT FROM AUTHOR]

Using the method of structural equation and balanced scorecard, this paper establishes the evaluation indicators and evaluation model for the performance of 21 rural cooperative economic organizations in X City of Hunan Province, and analyzes the relationship between indicators and dimensions of performance evaluation indicators, in order to find the influencing factors, obstacles and successful experience concerning the development of rural cooperative economic organizations. According to model analysis and conclusions, this paper sets forth the recommendations for promoting the development of rural cooperative economic organizations in Hunan Province, in order to provide a scientific basis for the institutional design and mechaism innovation of rural cooperative economic organizations in Hunan Province. [ABSTRACT FROM AUTHOR]

Currently, with the rapid development of the globalization and the increasing competition of the market, competitions among enterprises gradually give way to competitions between supply chains, and the relationship between enterprises within the supply chain gradually shift from competition to cooperation. In China, although the development trend of cooperation is inevitable, but the supply chain management is immature, especially for the large number of manufacturing corporations, most of which lack professional experiences. All of these have important theoretical and practical meaning for the supply chain collaboration and supply chain performance evaluation of manufacturing corporations. In this paper, we investigate the multiple attribute decision making(MADM) problems using the hesitant triangular fuzzy information. Then, we have developed the hesitant triangular fuzzy geometric Bonferroni Mean (HTFGBM) operator and hesitant triangular fuzzy weighted geometric Bonferroni Mean (HTFWGBM) operator. We have utilized the HTFWGBM operator to MADM for evaluating the performance of supply chain cooperation for manufacturing corporations with hesitant triangular fuzzy information. Finally, an illustrative example is proposed to demonstrate the effectiveness of our proposed method. [ABSTRACT FROM AUTHOR]

Currently, it is a challenge to effectively assess the seismic performance of the high-speed railway bridge line. To figure it out, this paper discussed the applicability of the Pushover analysis in the seismic fragility of the high-speed railway bridge. As the piers are the core components to resist the earthquakes, a typical high-speed railway bridge line consisting of 22 piers was established by the finite element software OpenSees. The influences of the different pier height and sites on the fragility analysis of the pies were investigated. From the component level, the seismic performance of the high-speed railway bridge line was evaluated by the Pushover analysis. The results show that the seismic responses of the piers by the Pushover analysis are agreeable with those by the incremental dynamical analysis when the peak ground acceleration is less than 0.4g. The high piers have better seismic performance than the lower piers. The high-speed railway bridge line exhibits good seismic performance under the 7-degree design earthquake (0.15g) and the 8-degree low-level earthquake (0.10g) but may be severely damaged under the 9-degree low-level earthquake (0.40g). [ABSTRACT FROM AUTHOR]

Featured Application: This work provides reference for selecting appropriate approaches to analyze the characteristics of Waste Express Bags modified bitumen. With the rapid development of China's e-commerce and logistics industry, a large number of waste express bags (WEBs) have been produced, which are difficult to recycle. The existing methods of waste express bag disposal often cause severe environmental pollution. It was discovered in this paper that the use of WEBs to modify bitumen could be an environmentally friendly way to recycle WEBs. This study aimed to investigate the feasibility of using WEBs to modify bitumen and promote the performance of WEB-modified bitumen. In order to verify this assumption, a series of basic or rheological experiments were conducted on different dosages of WEB-modified bitumen. The test results and phenomenon showed that the WEBs could be used to modify the binder homogeneously by using a high-speed shearing machine. The basic experiments showed that the WEBs could decrease the penetration and ductility while increasing the softening point and the rotational viscosity. Additionally, the rheological experimental data indicated that the high temperature performance was improved while the low temperature performance stayed the same. The Fourier-transform infrared spectroscopy (FTIR) results demonstrated that modification of the WEB was a physical modification without chemical reaction and the main component of the modifier was polyethylene. The fluorescence microscope (FM) data revealed the micro-structures of different dosages of WEB-modified bitumen. In conclusion, WEB can be a feasible binder modifier. [ABSTRACT FROM AUTHOR]

A photovoltaic (PV) integrated energy system is an ideal alternative to meet the heavy power demand of air conditioners in summer in hot climate areas. This paper presents the practical operation of a grid-connected, photovoltaic-powered, central air conditioner for an office building in South China. Typical operation characteristics have been analyzed regarding three indices such as solar fraction (SF), net solar fraction (NSF) and surplus energy ratio (SER). Different weather patterns such as sunny, cloudy and overcast based on the percentage of cloud coverage have been considered in this study. It is found that the performance of the system was significantly influenced by the meteorological conditions and that the value of SF is in different ranges for the three weather patterns. Additionally, the NSF and SER show meaningful trends for the three weather patterns. In addition, the SF is high in April, September and October due to the low cooling load. The yearly average values of SF, NSF and SER are 51.62%, 104.5% and 52.72%, respectively. The study methods proposed in this paper might be useful to predict and design PV integrated air-conditioning systems in different areas. This paper is presented and recommended by 5th International Conference on Nuclear and Renewable Energy Resources. [ABSTRACT FROM AUTHOR]

Purpose -- This study investigates the effect of intellectual capital on the operating efficiency of non-life insurance firms in China. Design/methodology/approach -- The authors employ a dynamic data envelopment analysis (DEA) model called dynamic slacks-based measure (DSBM) model to estimate the operating efficiency of 32 Chinese non-life insurance firms. Using a panel dataset for the period from 2006 to 2010, the authors run OLS regressions to find the relationship between intellectual capital and efficiency performance. Findings -- The authors find that the insurers have almost monotonically decreasing efficiency for the period from 2006 to 2010. Regression results show that human capital, structural capital, and relational capital are significantly and positively related to operating efficiency. Research limitations/implications (if applicable) -- This study suggests that managers of the Chinese non-life insurers should devote attention to the investments in intellectual capital to stay sustainable. Originality/value -- This is the first paper to examine the impact of IC on operating efficiency in the Chinese non-life insurance industry. The authors differ from prior studies that the authors employ the DSBM model proposed by Tone and Tsutsui (2010) for evaluating the operating efficiency using a dynamic process. [ABSTRACT FROM AUTHOR]

As a developing country with insufficient water resources, China's water environment management and performance evaluation have important research value. The three provinces (Henan, Hubei, and Hunan) in central China with typical significance in geographical location and water resources governance were selected as research objects in this paper. Based on the principal component analysis (PCA) method and the pressure-state-response (PSR) model, a comprehensive evaluation system for the water environment in those three provinces during 2011–2017 was established in this paper. The evaluation results show that: (1) The water environment management and performance evaluation of the three provinces in central China were generally poor in 2011–2012, but the overall trend was rising; (2) in 2013–2014, the situation was improved compared to the previous two years, but needed further enhancement; (3) in 2015–2017, the water environment management and performance of the three provinces showed significant improvement. Among them, the Hubei Province had the highest water environment evaluation value (1.692), and the Henan Province had the most significant progress (from 0.043 to 1.671). The contributions of this paper are: (1) The comprehensive evaluation model based on PCA and the PSR model was constructed to analyze the sustainable development of water environment in central China; (2) the performance evaluation system for water environment management, which could comprehensively evaluate the performance of water environment treatment and effectively reveal the correlation between various indicators, was established. The principal factors in water environment management can be obtained by this evaluation system. Based on the analysis of the reasons underlying the above changes, the corresponding policy recommendations for improving water environment management and performance in central China were suggested in order to provide a reference for further improvement of water environment management in developing countries. [ABSTRACT FROM AUTHOR]

This paper presents a modified environmental production technology which imposes the proper disposability on the undesirable outputs depending on the underlying technical properties. Then, aggregate and disaggregate (Russell-type) data envelopment analysis (DEA) models are proposed to evaluate the energy–economy–environment (3E) efficiency based on the modified technology (hereafter referred to as the 3E-DEA models). The non-radial Malmquist productivity index is adapted to model the changes in the 3E productivity over time. A case study of 3E efficiency analysis for the 30 Chinese administrative regions during 2011–2013 is presented. In general, Chinese regions did not perform well in terms of 3E goals as only three of them exhibited full efficiency. It was also found out that the eastern area showed the best 3E performance, whereas the central area followed suit, thus putting the western area at end of ranking. Still, some regions in the eastern area showed 3E efficiencies lower than those of some cities in the central and eastern areas. Anyway, most of the regions showed improving 3E productivity during 2011–2013. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this paper is to develop a suitable framework of sustainable urbanization performance evaluation from the view of efficiency for mitigating the unbalance between the theoretical research of sustainable urbanization and the practical need of sustainable urbanization.Design/methodology/approach A slack-restricted slack-based measure data envelopment analysis (DEA) model and two sustainable urbanization benchmarking methods with individual and centralized view, respectively, are developed based upon the classical DEA theory.Findings The empirical results show that China is now suffering a relatively low level of sustainable urbanization. Too much waste water emission, too small an urban population proportion, and too much resource wastage are the major factors that drive China’s urbanization away from sustainability.Originality/value Having the overall aim of practical urbanization, the proposed framework can help stakeholders recognize different sustainable urbanization performance levels by offering them accurate sustainable urbanization performance scores. The framework can also direct governments to improve the sustainable urbanization performance. The empirical analysis of China’s provincial region sustainable urbanization performance with the proposed framework further demonstrates the theoretical and practical value of this research. [ABSTRACT FROM AUTHOR]