The authors calculate the long-term predictability of GDP, domestic demand, investment, and net exports for Guangdong province, P.R. China from 2000 to 2013. A vector autoregressive (VAR) model with quarterly data for this period is first co-integrated then the Granger causality test is applied to empirically assess the relationships among gross domestic product (GDP), consumption, investment, and net exports. There is a strong causality effect between investment and net exports in Guangdong province. However, the variance decomposition results indicate that exports respond to foreign shocks rather than domestic ones, making their impact on the Guangdong economy to predict. Results show the stimulating effect of domestic demand on GDP is larger than the stimulating effect of net exports and much larger than even the stimulating effect of investment. The analysis suggests that there are dynamic influences with various levels of persistence between GDP, consumption, investment, and net exports. Macroeconomic policy adjustments are urgently required to expand domestic demand and thereby stimulate economic growth in Guangdong province.
In this paper the DRC model is presented for solving multi objective problem. The proposed model is a combination of data envelopment analysis, Cuckoo algorithm and the response surface method. Due to reasons like costs, time and irreversible damages, it is not possible to analyze each and every one of the proposed models in practice, so the simulation is used. Since the number of experiments for simulation process is high then the optimization has gone to practice and directs the simulation process. The response surface method is used as one of the approaches of simulation optimization. Furthermore, data envelopment analysis is used to consider several response surfaces as efficiency response surface. Then this efficiency response surface is solved by Cuckoo algorithms. The main advantage of DRC model is to make one efficiency response surface function instate of multi surface function for every output and also using the advantages of Cuckoo algorithms. In order to demonstrate the effectiveness of the proposed approach, the branches of Refah bank in Mashhad is analyzed and the results are presented.
This research is aimed the furthest development of the conception of Human capital formation. The study made on the base of methods of scientific classification and systematization; dialectical method and the method of scientific abstraction, systematic and comparative analysis; expert assessment and ratings. Formation of the competitive human capital is one of the most important goals of modern development of Kazakhstan in condition of the innovative economy construction. In this context the necessity of formation and development of the effective human capital considerably increases. Realization of this requires definition of a technique of measurement of its cost as well. The authors attempt to calculate the value of human capital for Kazakhstan during independency time. In order to determine the methods of its quantitative and qualitative assessment different methodological ways for human capital research are studied. On the basis of the study, it was revealed that formation of the competitive human capital can't be considered in a separation from development and modernization of system of quality education, improvement of the employment sphere, worthy payment for work.
The 21st century belongs to biotechnology as it made profound impact in the field of health, food, agriculture and environmental protection. India's biotechnology industry is poised to record substantial growth, perhaps even overtake the robust IT industry. The objectives of the study are to determine the existing HR practices in Biotech Industry and to understand the need for the up gradation in existing HR Policies. Conclusive and descriptive research design has been used. Data is collected from 122 employees in 23 companies of Biotech Industry. It was found that Biotechnology companies require managers with unique qualities. The lack of solid managerial training and the associated risk of failure often have long-term consequences for the careers of research professionals. The efforts to achieve excellence through a focus on learning, quality, teamwork, and reengineering are driven by the way organizations get things done and how they treat people. Biotech industry is trying to establish itself in India for last one decade but is not showing any phenomenal growth because they still do not valuing their human resource as much they should be.
Managers, supervisors, executives and others whose office is to get work done by staff in organizations would desire a motivated workforce. Despite the advances in technology, any system has tot have motivated people to achieve its goals and at some time or other, no one in charge of a unit has failed to wonder, 'How best do I get individuals and groups motivated'? What is motivation, how can employees be motivated to direct their energies towards execution of the job and how is this achieved on a sustained on-going basis? Is a highly motivated employee necessarily an ace performer? These are the issues which the author would address in the present paper. The authors has conducted an empirical study by administering motivational test and collected data from 100 corporate of Bhopal region.