Global Trend of Low-carbon Economy and China's Responses

Based on the analysis on the global economic crisis,climate change crisis and their mutual underlying reasons,the authors believe that low-carbon economy has become an inevitable choice to break through the dual crises,coordinate the economic development,and protect the global climate.The global trend of low-carbon economy finds expression in Green Recovery currently,while,in a long run,it will give rise to a new pattern of world competition in politics,economy,technology,trade and finance.The impact of the global trend of low-carbon economy on China can not be overlooked,and it is both a challenge and an opportunity for China＇s future development.Based on comparative studies on the low-carbon economy of China,the U.S.,EU and Japan,the authors conclude that China should blaze a new path of lowcarbon economy development with Chinese characteristics,and the authors have put forward relevant countermeasures for China to address the global trend of low-carbon economy from angles of countries,enterprises and the public

Study on the knowledge management of strategic alliances in high technology enterprises

With the development of knowledge economy, the competition between high teehnology enterprises has gradually evolved into the competition of core competence based on knowledge, because high technology enterprises are typical knowledge-based enterprises. Few enterprises, especially for high technology firms, have all of the knowledge they need to compete effectively in the marketplace both at home and abroad, so more and more high technology companies are taking the advantage of strategic alliances to get their complementary knowledge. Since knowledge is the source of an enterprise＇ s competitiveness, knowledge management has become the most important means for enterprises to gain competitive advantage. There has been an increased growth in the literature on strategic alliances in recent decades. But what is less discussed in the existing literature on strategic alliances is the issue of knowledge management of strategic alliances in high technology enterprises. Based on the characteristics of strategic alliances in high technology enterprises, and in line with the implication and the goal of knowledge management, this study tries to delve into this issue. The paper analyzes the key factors relevant to the knowledge management of strategic alliances in high technology enterprises and proposes guidelines on the process and measures that should be taken in the knowledge management of strategic alliances in high technology enterprises.

A Simple Discussion on the Supply and Demand of Water Resources in the Western Region of China

We are accustomed to solve the problem of the water scarcity in the western region by the thought of increasing the effective supply of water to meet the needs of Go-west Campaign. After introducing the dynamic equilibrium principle on supply and demand in economy, we find that we should solve the problem of the water scarcity in the western region through reducing total demand to achieve the dynamic equilibrium of supply and demand. Finally water resources in the western region can be enlarged by an accumulated way.

Study on the partner selecting method of strategic alliance inhigh and new technology enterprises

A successful and effective strategic alliance involves many factors, of which selecting a proper partner is the most important factor to achieve the success of the alliance. In view of the characteristics of strategic alliance in high and new technology enterprises and according to the analysis on the standards of partner selecting and the factors of the success of alliance, this paper does some deeper research on the partner selecting and the alliance evaluation process from the perspective of different strategic levels by using a fuzzy comprehensive evaluating method, thus providing a method to select the alliance partner for high and new technology enterprises in China.

Hinterland Intermodal Freight Flow Optimization for Ports Competition Evidence of West Africa ECOWAS Region

Major problem considered in this study was the intermodal routing problem of regional freight transportation in West Africa ECOWAS (Economic Community Of West Africa States), which can be defined as the problem of determining the freight flow quantity, the transportation mode in each transit corridor while satisfying the freight demand at each West Africa transit country (Mali, Burkina Faso and Niger). The objective was to minimize in land transportation costs. In order to solve optimally and represent the problem, this research employed a linear programming model. The model was solved using Lingo Mathematic Application. The model results showed that port oriented freight logistics in west Africa ECOWAS region do not flow along optimal path and such incur longer time and higher logistics cost than is geographically necessary.

Examining Mediating Role of Customer Loyalty for Influence of Brand Related Attributes on Customer Repurchase Intention

The objective of current study was to investigate the influence of brand related attributes on customer loyalty and repurchase intention in agricultural product marketing in Pakistan. Results of current study would help the management of branded agricultural products, in Pakistan specifically and in developing countries generally, to formulate the best strategies to enhance customer loyalty in order to induce repurchase intention of them. Future research could be conducted in the same field by adopting larger sample size and this research can be replicated with specific product category.

Time Optimization of Multiple Knowledge Transfers in the Big Data Environment

In the big data environment, enterprises must constantly assimilate big dataknowledge and private knowledge by multiple knowledge transfers to maintain theircompetitive advantage. The optimal time of knowledge transfer is one of the mostimportant aspects to improve knowledge transfer efficiency. Based on the analysis of thecomplex characteristics of knowledge transfer in the big data environment, multipleknowledge transfers can be divided into two categories. One is the simultaneous transferof various types of knowledge, and the other one is multiple knowledge transfers atdifferent time points. Taking into consideration the influential factors, such as theknowledge type, knowledge structure, knowledge absorptive capacity, knowledge updaterate, discount rate, market share, profit contributions of each type of knowledge, transfercosts, product life cycle and so on, time optimization models of multiple knowledgetransfers in the big data environment are presented by maximizing the total discountedexpected profits (DEPs) of an enterprise. Some simulation experiments have beenperformed to verify the validity of the models, and the models can help enterprisesdetermine the optimal time of multiple knowledge transfer in the big data environment.

Impact of Sophisticated Stationary Forecast Techniques on the Bullwhip Effect in a Supply Chain

The bullwhip effect in a multistage supply chain was analyzed using sophisticated stationary forecasts (third order moving average and third order exponential smoothing forecasts). The third order exponential smoothing and third order moving average forecasts sometimes have a variance reducing effect on the supply chain.In a supply chain with positively correlated or independent and identically distributed (i.i.d) demands, the order variance based on simple moving average forecast (or simple exponential smoothing forecast) is larger than the order variance based on second order moving average forecast (or second order exponential smoothing forecast),and the order variance based on second order moving average forecast( or second order exponential smoothing forecast) is larger than the order variance based on third order moving average forecast( or third order exponential smoothing forecast). In addition, for i.i.d demands, third order exponential smoothing forecast leads to a larger variation than third order moving average forecast.

A brief review of innovative strategies towards structure design of practical electronic display device

Display devices have significantly changed our daily life for decades,from the watches,television,to the laptop and smartphone.As the desire of advanced display device with high-resolution,long operation life and lightweight properties,several display techniques have been demonstrated.There are mainly four types of electronic display device:cathode ray tube(CRT),liquid-crystal display(LCD),organic light-emitting diode(OLED),and micro-LED.Due to the different working principles and device structures,each type of display device has its special characteristic properties.The performance of devices could be adjusted through the material selection or device design.With careful device structure regulation,not only the efficiency but also the stability would be improved.Herein,a brief review of innovative strategies towards the structure design is presented.

Optimal Scheme Selection of Agricultural Production Structure Adjustment——Based on DEA Model; Punjab(Pakistan)

This paper used the modern evaluation method of DEA （Data Envelopment Analysis） to assess the comparative efficiency and then on the basis of this among multiple schemes chose the optimal scheme of agricultural production structure adjustment. Based on the results of DEA model, we dissected scale advantages of each discretionary scheme or plan. We examined scale advantages of each discretionary scheme, tested profoundly a definitive purpose behind not-DEA efficient, which elucidated the system and methodology to enhance these discretionary plans. At the end, another method had been proposed to rank and select the optimal scheme. The research was important to guide the practice if the modification of agricultural production industrial structure was carded on.

Optimal Model of Continuous Knowledge Transfer in the Big Data Environment

With market competition becoming fiercer,enterprises must update their products by constantly assimilating new big data knowledge and private knowledge to maintain their market shares at different time points in the big data environment.Typically,there is mutual influence between each knowledge transfer if the time interval is not too long.It is necessary to study the problem of continuous knowledge transfer in the big data environment.Based on research on one-time knowledge transfer,a model of continuous knowledge transfer is presented,which can consider the interaction between knowledge transfer and determine the optimal knowledge transfer time at different time points in the big data environment.Simulation experiments were performed by adjusting several parameters.The experimental results verified the model’s validity and facilitated conclusions regarding their practical application values.The experimental results can provide more effective decisions for enterprises that must carry out continuous knowledge transfer in the big data environment.

Circular Economy Development Mode Based on System Theory

The paper tries to explore circular economy from the viewpoint of the system theory. Circular economy is a kind of complicated economic activity, and it is a wholly new ecotype economy proposed by Western countries after they had summed up many experiences and lessons from traditional economy. It is an entirety and has many layers. It keeps an open and dynamic balance. Because the system theory is the theoretical foundation of circular economy, we should systemically analyze and study circular economy from the macroscopic view, correctly grasp its operational laws, improve its service functions, and realize human beings' sustainable development. The paper introduces the content and general characteristics of the system theory and the idea of circular economy. Then it analyzes circular economy based on the system theory. The paper concludes that the integration of circular economy and the system theory can promote the functions of circular economy.

Simulation Research of the TOC-Based Cost Accounting Impacting on Organizational Performance

After introducing a new management philosophy called Theory of Constraints (TOC), Dr Eli Goldratt applied it to the field of accounting, and formed a new set of measures for cost accounting. These measures are Throughput Contribution, Inventory and Operating Expenses. This paper applied the constraint-based cost accounting to three kinds of strategies decisions including contraction, cost and market, and uses the Gedunken experiment to do a contrastive research between the cost accounting based on TOC and the full-absorption cost accounting. The experiment proves that the cost accounting based on TOC outperforms the traditional cost accounting, and greatly improves organizational performance.

Analysis on the Comparison of Vegetable Price

In 2010,the garlic,bean and ginger became more expensive than ever,which made some people's life harder.In response to such phenomena,the retail price and wholesale price at the producers' end,the retail price and wholesale price at distributors' end,and consumption related data(disposable income,consumption expenditure,fresh vegetables amount from 2004 to 2011 were compared and analyzed in this paper.Results showed that the average price(selling price,wholesale price and retail price) of five kinds of vegetables generally rose.There was certain differences in the price change range.Since 2004,especially in 2009 the vegetable prices had been so high that it had influenced the life of low income families in China.

Risk Simulation Modeling of Engineering Cost Based on MATLAB/SIMULINK

Based on MATLAB/SIMULINK, the paper has proposed cost risk simulation models separately in accor-dance with the circumstances of correlation and independence between the influential factors of cost risk. The mean,variance and the risk level under the above-mentioned two circumstances have also been compared with a case study.Also the sensitivity analysis of cost risk has been probed into. The result indicates that the model which takes into ac-count correlation is more objective, and the model which ignores the circumstance of correlation normally underes-timates the risk level of project cost.

Scenario analysis of low carbon development in Tianjin, China

Low-carbon economic development has become a.fundamental approach to coordinating economic development and carbon emissions mitigation. As rapid developing economic, aviation and navigation, and financial center of North China. Tianjin＇s energy demand and CO2 emissions are mushrooming, with per capita CO2 emission from fossil fuel combustion exceeding 20 t in 2020, which much exceeds current level of USA. In the background of global responding to climate change, China will likely be requested to commit peaking its GHG emissions during 2020-2030, which will inevitable reduce the room of development in Tianjin enormously. Tianjin should make deployment ahead, realizing win-win of addressing climate change and sustainable development, with low-carbon economic development as important strategic mission. First of all, Tianjin should devote more efforts to reducing energy intensity and realizing relative emission reduction. Scenario analysis shows that Tianjin＇s future CO2 emissions will continue to increase rapidly, but they can be significantly reduced by taking measures. Second, Tianjin should get ready for achieving absolute reduction of CO2 emissions as soon as possible, preparing system, technology and talent in advance, making great efforts to establish institutional meehanisms conducive to low-carbon development from now on. starting from energy conservation and emission reduction, actively carrying out low-carbon technology research and development, vigorously developing the tertiary industry with low emissions, developing new and renewable energy resources, actively promote low-carbon consumption.

The Study on China’s Flu Prediction Model Based on Web Search Data

Influenza is a kind of infectious disease, which spreads quickly and widely. The outbreak of influenza has brought huge losses to society. In this paper, four major categories of flu keywords, “prevention phase”, “symptom phase”, “treatment phase”, and “commonly-used phrase” were set. Python web crawler was used to obtain relevant influenza data from the National Influenza Center’s influenza surveillance weekly report and Baidu Index. The establishment of support vector regression (SVR), least absolute shrinkage and selection operator (LASSO), convolutional neural networks (CNN) prediction models through machine learning, took into account the seasonal characteristics of the influenza, also established the time series model (ARMA). The results show that, it is feasible to predict influenza based on web search data. Machine learning shows a certain forecast effect in the prediction of influenza based on web search data. In the future, it will have certain reference value in influenza prediction. The ARMA(3,0) model predicts better results and has greater generalization. Finally, the lack of research in this paper and future research directions are given.

Big Data Knowledge Pricing Schemes for Knowledge Recipient Firms

Big data knowledge,such as customer demands and consumer preferences,is among the crucial external knowledge that firms need for new product development in the big data environment.Prior research has focused on the profit of big data knowledge providers rather than the profit and pricing schemes of knowledge recipients.This research addresses this theoretical gap and uses theoretical and numerical analysis to compare the profitability of two pricing schemes commonly used by knowledge recipients:subscription pricing and pay-per-use pricing.We find that:(1)the subscription price of big data knowledge has no effect on the optimal time of knowledge transaction in the same pricing scheme,but the usage ratio of the big data knowledge affects the optimal time of knowledge transaction,and the smaller the usage ratio of big data knowledge the earlier the big data knowledge transaction conducts;(2)big data knowledge with a higher update rate can bring greater profits to the firm both in subscription pricing scheme and pay-per-use pricing scheme;(3)a knowledge recipient will choose the knowledge that can bring a higher market share growth rate regardless of what price scheme it adopts,and firms can choose more efficient knowledge in the pay-per-use pricing scheme by adjusting the usage ratio of knowledge usage according to their economic conditions.The model and findings in this paper can help knowledge recipient firms select optimal pricing method and enhance future new product development performance.

Fiscal Policy Effect Analysis Based on Agents Response Equilibrium (ARE) Model

Agents response equilibrium (ARE) model has been taken advantage of to build a multi-agent system for analyzing fiscal policy effect. Through establishing various types of economic entities and endowing them with abilities to react and make decision, the whole system will evolve to new conditions in response to policy change. Compared with different scenarios, it can be concluded that when raising taxation ratio, sectoral scale will shrink to some extent. But supported by government expenditure, certain sectors could be kept in comparatively larger production scale.