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Research on China's Aquaculture Efficiency Evaluation and Influencing Factors with Undesirable Outputs Research on China's Aquaculture Efficiency Evaluation and Influencing Factors with Undesirable Outputs  [PDF]
JI Jianyue,WANG Pingping
- , 2015,
Abstract: Taking the aquaculture area, the number of farming boats and that of aquaculturist as input variables, the aquaculture production as desirable output variable and polluted economic loss as undesirable output variable, this paper conducts SBM model to evaluate the aquaculture efficiency based on the data of 16 aquaculture-developed provinces in China from 2004 to 2011. The results show the efficiency in China has not changed much in recent years with the efficiency values mainly between 0.39 and 0.53, and the efficiency of marine-aquaculture-dominated provinces is generally higher than that of freshwater-aquaculture-dominated ones. To analyze the difference under the efficiency, the panel Tobit model is used with education level factor, training factor, technology extension factor, technical level factor, scale factor and species factor as the efficiency influencing factors. The results show that technology extension factor and technical level factor have significant positive influence
A Study on the Work Well-Being of Personnel in Telecommunication Marketing as Well as Its Influencing Factors in China —Based on the Researches in the Guangzhou Branch of China Telecom  [PDF]
Yuanqing Shen, Long Li
Technology and Investment (TI) , 2015, DOI: 10.4236/ti.2015.61004
Abstract: Based on literature research and interviews, this study proposes three main Work Well-Being dimensions in line with the telecommunications marketing personnel characteristics. They are organizational commitment, overall reward and family support. Then the study builds the concept model. With data from questionnaires of 155 samples, this research analyzes the work well-being of telecommunications marketing personnel as well as its influencing factors with living examples. The results show that organizational commitment and total compensation have a significant positive correlation with work well-being, while family support is insignificantly negative correlated with work well-being. There are some factors that have more positive contribution to work well-being: Non-economic compensation, economic compensation, ideal expectation, social norms, economic costs, while the negative factors are emotion recognition, career opportunity, family time and family behavior.
Analysis of the operating efficiency and influencing factors of listed agricultural products processing companies in China

- , 2017,
Abstract: 为研究我国农产品加工企业经营效率及其影响因素,运用C2R模型、BC2模型、Malmquist指数法及Tobit模型对2011—2015年我国29家具有代表性的上市农产品加工企业进行研究。测算结果表明,我国上市农产品加工企业经营效率并不稳定,经营效率最低值为0.799,企业间经营效率差距较大;从效率变化均值来看,技术效率下降了1.2%,而技术水平和全要素生产率分别出现了6.9%和5.6%的增长幅度,技术水平变化是全要素生产率变化的主要原因,纯技术效率变化和规模效率变化不稳定,导致综合技术效率变化不稳定,最终影响了全要素生产率;回归结果显示,总资产周转率、企业规模、技术人员占比与企业经营效率及分解项之间呈正相关关系,而股权集中度和企业年龄与企业经营效率及分解项之间无显著相关关系。
In Order to investigate the operating efficiency and influencing factors of some listed agricultural products processing companies in China,Malmquist of C2R,BC2,DEA and Tobit models were used to study 29 major listed agricultural companies from 2011 to 2015.The results showed that the operating efficiency of the listed agricultural products processing companies in China was not stable,the lowest was 0.799,and the operating efficiency gap between the companies was large.In terms of the average of efficiency change,technical efficiency was decreased by 1.2%,and the technical level and total factor productivity was increased by 6.9% and 5.6%,respectively.Technology change was the main cause of the total factor productivity change.Pure technical efficiency and scale efficiency changes were not stable resulted inthe unstable of comprehensive technical efficiency change and affecting the total factor productivity ultimately.And the DEA-Tobit regression results showed that the total asset turnover,company scale,and technical staff were correlated with the company operating efficiency positively,and there was no significant correlation relationship between the decomposition of operating efficiency with the concentration of ownership and the age of companies.
Governmental Spending on Public Cultural Services: Efficiency and Influencing Factors Analysis Based on DEA-Tobit  [PDF]
Bin Tu, Xiangyu Tao, Nian’en Guo
Journal of Service Science and Management (JSSM) , 2017, DOI: 10.4236/jssm.2017.103019
Abstract: Based on the panel data of provinces in China from 2000 to 2015, this article explores the efficiency of local government spending on public cultural services and its influencing factors under the DEA-Tobit two-stage analysis framework. First, the comprehensive efficiency, pure technical efficiency and scale technical efficiency of local government public cultural expenditure were measured through the data envelopment analysis method (DEA). On the basis of the first step analysis, we use Tobit model with the limited dependent variable to study the relationship between the efficiency evaluation results and policy variable such as fiscal decentralization, cultural policy, the relationship between the efficiency evaluation results and social factors like per capita GDP, population density and residents’ educational level etc. Through the analysis of the evaluation results, it is found that there were significant differences in the local efficiency on public cultural expenditure in China. The effects of population density, urbanization level, per capita GDP and illiteracy rate on the efficiency of government public cultural expenditure are positive. After controlling population, economic and social factors, the effect of fiscal decentralization on the efficiency of public cultural expenditure is negative, and cultural policy has significantly promoted the efficiency of Chinese local government cultural expenditure.
An Empirical Study on the Influencing Factors and Countermeasures of Inflation in China  [PDF]
Shiyun Liang
American Journal of Industrial and Business Management (AJIBM) , 2017, DOI: 10.4236/ajibm.2017.74037
Abstract: Since the outbreak of the financial crisis in 2008, China’s money supply has been increasing in the context of serious international monetary crisis, which had caused the problem of domestic inflation and become a threat to China’s economic development. China’s economic structure and development determines that domestic inflation is highly vulnerable to external shocks. At present, the relationship between China and the world is deepening, and economic reform is imperative. This means that the influence of international currency, capital and commodities will have a certain effect on China’s economy and inflation through certain transmission mechanism. This paper mainly analyzes the influencing factors of inflation from comprehensive domestic and external shocks in China by quantitative research, and to reveal its main causes in order to put forward the corresponding policy suggestions and promote the healthy development of the national economy.
Influencing Factors and Improvement Strategy to the Quality of Nursing Work Life: A Review  [PDF]
Hong Hu, Hong Zhou, Fangju Mao, Jing Geng, Liu Zhang, Xi Zhang
Yangtze Medicine (YM) , 2019, DOI: 10.4236/ym.2019.34024
Abstract: This review introduces the definition, influencing factors and improvement strategy to the quality of nursing work life, which can provide references for nursing managers to understand the factors affecting the quality of nursing work life and choose effective measures to improve the quality of nursing work life.
Factors Influencing Employees to Work More and Make The Rinl Turnaround: An Experimental Study, Rinl, Visakhapatnam  [cached]
Budharaju Suryanarayana Raju
Journal of Management Research , 2011, DOI: 10.5296/jmr.v3i2.638
Abstract: In any organisation, management tries to coordinate various factors of production is such a way that each factors contribute to its maximum efficiency to achieve organizational goals. So far as factors like materials, technology are concerned, their efficiency largely depends upon the level of technology being used followed by the performance and motivation level of Human resources who handled and control these factors. Thus, to make total factors efficiency and effective, management has to improve the performance level of Human resources in the organisation through motivation. The performance of the organisation is determined by the level of ability employee to do certain work and level of motivational factors. Organization uses many techniques to motivate and utilize the talent. It should implement various strategies to make the employee to work hard. Here the researcher has made an attempt to know the factors which influencing the employee to work more and make the RINL turnaround. To achieve the above objective, the researchers have selected Shop floor level employees and supervisors of 500 as a sample size for the study. A quota sampling technique has been used to collect the response. RINL has been providing very congenial environment to enhance the employees’ competencies and achieve its strategic aims. As a result employee productivity is enhanced and cost of production is declined. The researcher observed that the rationales behind it are the commitment and motivational levels among the employee.
Multilevel Correlation Analysis of Influencing Factors on Grain Total Factor Productivity in Main Grain Producing Provinces of China  [PDF]
Bingjun Li, Weiming Yang, Xiaoxiao Zhu
Open Journal of Applied Sciences (OJAppS) , 2018, DOI: 10.4236/ojapps.2018.81002
Abstract: In order to analyze the influencing factors of TFP (the abbreviation of Total Factor Productivity) deeply, this paper calculates and decomposes the TFP of the main grain producing provinces in China from 2006 to 2015 by the DEA-Malmquist index model. On the basis of this, the grey correlation analysis model based on super-efficiency DEA is used to quantitatively analyze the influencing factors of total factor productivity, technological progress and technical efficiency. The results show that the proportion of grain sowing, the level of food economic development, the level of grain mechanization, the average scale of operations and the level of fertilizer using have the most influence on grain total factor productivity. Finally, according to the results of the analysis, some suggestions are put forward to improve the TFP of different provinces in the main grain producing areas.
Factors Influencing the Development of China’s Corporate Bond Market and Relevant Suggestions  [cached]
Hui Sui
International Journal of Business and Management , 2011, DOI: 10.5539/ijbm.v6n9p258
Abstract: China’s laggard development in corporate bond market as well as its imbalanced development in capital market has greatly increased the risks in China’s financial system. This paper is mainly intended to analyze some factors influencing the development of China’s bond market as well as to come up with some suggestions with the purpose to promote relevant development in China.
Factors influencing the purification efficiency of photosynthetic bacteria
Fanzhong Chen,Aizhong Ding,Jiamo Fu,Guoying Sheng
Chinese Science Bulletin , 2000, DOI: 10.1007/BF02893794
Abstract: One strain of photosynthetic bacteria (PSB) was isolated from substrate sludge of fresh-water fishpond. Influence of the use level of PSB culture solution, illumination condition, temperature, salinity, the use level of copper sulfate and dipterex on the purification efficiency was investigated. The results showed that the optimum use level of PSB culture solution was 10 mg/L, and the purification efficiency at illumination was higher than that at black, and if the temperature was lower than 15 °C., or the use level of sodium chloride, copper sulfate and dipterex were higher than 10 000 mg/L, 0.4 mg/L and 2.0 mg/L, respectively, the purification efficiency dropped distinctly.
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