作者机构：
[卓东; 任国平; 刘黎明] College of Resources and Environment, China Agricultural University, Beijing, 100193, China;[任国平] College of Urban Management, Hunan City University, Yiyang, 413000, China
通讯机构：
College of Resources and Environment, China Agricultural University, Beijing, China
摘要：
To achieve the research aim of optimizing the debt financing structure, and enhancing company performance, this paper adopts normative analysis, descriptive statistics analysis and multivariate linear regression analysis method, uses Stata14.0 measuring software, and selects 797 listed manufacturing companies' financial data in Shanghai and Shenzhen between 2010 and 2014, to study the influence of debt maturity, debt source on company performance. The research results show that the listed manufacturing companies' debt financing structure is unreasonable. It relies heavily on current debt whose debt sources are mainly bank loans and commercial credit. Current debt or non-current debt, bank loan, commercial credit, or bonds payable all have negative correlation with company performance. Therefore they are not conducive to improve company performance.
期刊：
Telkomnika (Telecommunication Computing Electronics and Control),2016年14(2):34-43 ISSN：1693-6930
通讯作者：
Liu, Yongbo(12141527@qq.com)
作者机构：
[Liu, Yongbo] Department of management, Hunan City University, Yiyang, Hunan, 413002, China;[Zhu, Xiangdong] Business School of Central South University, Changsha, Hunan, 10083, China
通讯机构：
Department of management, Hunan City University, Yiyang, Hunan, China
关键词：
Analytic hierarchy process;Assessment index;Changsha city;Smart city
摘要：
Quality, schedule, cost, as three main goals of engineering project management, have a relation of unity of opposites. Efficiency of traditional project management pattern is generally not high in the aspect of cost control, process control and quality control. Based on this, Building Information Modeling (BIM) is adopted for project information management. It can build 3D modeling for engineering construction, which can improve the calculation precision of the project cost, realize dynamic whole process management. BIM technology makes project management informationization more comprehensive, more intuitive and more efficient, thus greatly improving the intelligence and informationization of management project.
作者机构：
[Liu Wenbin] Hunan City Univ, Coll Business, Yiyang 413049, Peoples R China.;[Bai Zhuoling] Cent S Univ, Sch Publ Adm, Changsha 410083, Peoples R China.
通讯机构：
[Liu Wenbin] H;Hunan City Univ, Coll Business, Yiyang 413049, Peoples R China.
关键词：
ecotourism economy;influence factors;model analysis;parallel data
摘要：
In the 1980s, the World Commission on Environment and Development first proposed the concept of 'sustainable development', while a series of environmental problems caused by the tourism industry began to emerge, many experts and scholars with some foresight proposed a win-win cooperation path between tourism and the environment ecotourism. With the popularisation of the environmental protection awareness, more and more people have joined the ranks of ecotourism. Based on analysis of the factors affecting the tourism economy proposed by scholars in the past, the authors combine the actual situation of Chinese current ecotourism economy and propose six factors which impact the ecological tourism in this paper. Furthermore, the authors use the economic theory to build the impact factor analysis model of Chinese ecotourism economy, find out the main factors affecting the development of the ecotourism economy, and provide guidance for the scientific development of eco-tourism. The results show that in its current condition, if China wants to promote the development of its ecotourism economy, it not only needs to increase investment from the economic level and other hard conditions, but also needs to make greater efforts from the citizen eco-awareness to train relevant professionals in ecotourism.
作者机构：
[Xie, Chi] Hunan Univ, Coll Business Management, Changsha 410082, Hunan, Peoples R China.;[Zheng, Huikai] Hunan City Univ, Coll City Management, Yiyang 413000, Peoples R China.
会议名称：
2nd International Conference on Complex Science Management and Education Science (CSMES)
会议时间：
SEP 19-20, 2015
会议地点：
Changsha, PEOPLES R CHINA
会议主办单位：
[Xie, Chi] Hunan Univ, Coll Business Management, Changsha 410082, Hunan, Peoples R China.^[Zheng, Huikai] Hunan City Univ, Coll City Management, Yiyang 413000, Peoples R China.
关键词：
Real estate enterprises;Debt financing efficiency;Entropy
摘要：
Based on learning from the relevant research results, we construct the index system of listed real estate companies' debt financing efficiency, including funds, debt financing costs, enterprise value, debt financing structure and financing risk. The Chinese A-share real estate listed enterprises in the Shanghai and Shenzhen Stock Markets are selected as experimental samples and then quantitative measure and analyze their debt financing efficiency by using entropy method. The results suggest that the mean composite score of debt financing efficiency has been lower than 0.2 from 2009 to 2013, however, it has been rising from 2011; Funds rate, the main business revenue growth and receivables to meet with rate are the most important indicators, and the weight of these three indicators is up to 0.7.
