Forecasting of Medical Waste Generation Amount Based on GM (1, n) Model

2013 ◽  
Vol 726-731 ◽  
pp. 2850-2854 ◽  
Author(s):  
Hou Ming Fan ◽  
Tong Xuan Qi ◽  
Xiang Wei Mu

This article first applied correlation analysis to identify the key factors in factors influencing people's medical service demands, such as the population, economy and people's living level and so on. Then, it built the forecast model of the medical waste generation amount based on the GM (1, n). finally, it took Dalian city as an example for empirical study. The results show the forecast method has higher accuracy, and it is a useful method for the prediction of the medical waste generation amount.

2016 ◽  
Vol 06 (06) ◽  
pp. 748-762 ◽  
Author(s):  
Ming-Chih Chen ◽  
Shih-Shiunn Chen ◽  
Hung-Ming Yeh ◽  
Wei-Guang Tsaur

2015 ◽  
Vol 3 (1) ◽  
pp. 51 ◽  
Author(s):  
Zaimy Johana Johan ◽  
Lennora Putit

Many past researches have been carried out in an attempt to continuously understand individuals‟ consumption behaviour. This study was conducted to investigate key factors influencing consumers‟ potential acceptance of halal (or permissible) financial credit card services. Specifically, it anticipated the influence of attitude, social influences and perceived control on consumers‟ behavioural intention to accept such services. In addition, factors such as religiosity and product knowledge were also postulated to affect consumers‟ attitude towards the act of using halal credit cards for any retail or business transactions. Using non-probability sampling approach, a total of 500 survey questionnaires was distributed to targeted respondents in a developing nation but only 220 usable feedbacks were received for subsequent data analysis. Regression results revealed that religiosity and product knowledge significantly influence consumers‟ attitude toward using halal credit card services.  Attitude in turn, subsequently has a significant impact on consumers‟ intention to accept halal financial credit card services. Several theoretical and managerial contributions were observed in this study.   


2020 ◽  
Vol 26 (7) ◽  
pp. 1647-1660
Author(s):  
O.N. Likhacheva ◽  
A.S. Belikevich

Subject. In the uncertain market environment, the optimal structure of capital is getting more important because it influences the competitiveness of a firm, its financial sustainability and solvency and, consequently, a success. Herein we dwell upon the hypothesis presuming the existence of capital structure determinants. Objectives. We review empirical studies on the subject, analyze determinants of the Russian companies’ capital structure. Methods. The study is based on the systems approach and methods of statistical analysis. Results. It is necessary to monitor how capital is shaped and formed. We investigated proceedings on factors influencing the capital structure and discovered relevant hypotheses, carrying out the correlation analysis of such factors. Conclusions and Relevance. It is especially important to examine factors influencing the capital structure, and find the appropriate format for the economy struggling through the crisis. The coronavirus pandemic unavoidably reshapes the global economic landscape, which has already been under the pressure of deglobalization processes (trade wars, repudiation of oil contracts). The correlation analysis did not reveal any relationship of the variables in question (the company’s age, ROE, ROA, MOEX, key rate, GDP, PPI) and the capital structure. Further research should be devoted to other factors and consider the unreasonableness and psychological background of managers’ behavior who make decisions concerning the capital structure.


2021 ◽  
Vol 13 (12) ◽  
pp. 6627
Author(s):  
Shichao Sun ◽  
Yuanqian Liu ◽  
Yukun Yao ◽  
Zhengyu Duan ◽  
Xiaokun Wang

Sustaining the development of car-sharing is considered an efficient way to counter environmental issues worldwide. Against this background, college students are recognized as a promising customer group of car-sharing service providers in China. However, the determinants that promote students’ willingness to use car-sharing services are rarely studied, and the uniqueness of college students in China in the context of car-sharing is justified. Therefore, this paper examines the key factors that affect Chinese college students’ adoption of car-sharing. An empirical study using samples from Dalian Maritime University was conducted, and survey data were collected via the Internet. Specifically, respondents’ socio-demographics were obtained, and their latent attitudes on car-sharing services were measured in terms of willingness to use car-sharing services, perceived usefulness, perceived ease of use and safety concerns. In addition, nine hypothetical travel scenarios were defined, and regarding each travel scenario, the respondents were asked to state whether they were willing or not to use car-sharing services. On this basis, a hybrid logit model was established to investigate the key factors that influenced the willingness to use car-sharing services. Aside from the common findings in line with previous studies, the results indicate that with the increase in the number of travel fellows, willingness to use car-sharing services went up. Furthermore, college students’ willingness to use car-sharing services was significantly affected by money costs rather than time costs. Additionally, college students in China are more likely to use car-sharing services during workday off-peak hours and weekends. Separately, among the respondents’ latent attitudes, only the perceived usefulness of car-sharing services was found to have a significant and positive impact on students’ willingness to use them. Relevant policy implications with regards to theoretical findings are also offered in this paper to car-sharing service providers in China.


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