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Low Carbon Economy Evaluation Index System and Development Evaluation of Hebei 河北省低碳经济评价指标体系及发展评价
Business Intelligence and Financial Engineering Pub Date : 2012-05-11 DOI: 10.1109/BIFE.2013.119
Wei-Yu Wang, Nianqun Yang
{"title":"Low Carbon Economy Evaluation Index System and Development Evaluation of Hebei","authors":"Wei-Yu Wang, Nianqun Yang","doi":"10.1109/BIFE.2013.119","DOIUrl":"https://doi.org/10.1109/BIFE.2013.119","url":null,"abstract":"Hebei industrial structure is imbalanced, mainly focused on industry. The consumption structure is monotonous, relying too heavily on coal. Which has caused energy shortage, serious environment pollution, the feature of \"\"\"\"high carbon economy\"\"\"\" is very outstanding. After past several years of rapid economic growth, Hebei is facing an urgent task of transforming the pattern of economic growth. Developing low carbon economy is the most effective solution. This article selects Zhejiang (low-carbon area), Shandong (mid-carbon area), Henan (mid-carbon area) and Shanxi (high-carbon area), the carbon area is classified according to the classification of Institute of Low-Carbon Economy and Climate Change, Renmin University. Compare Hebei province with the above four provinces by certain index in aspects of energy efficiency, low carbon efficiency, low carbon environment and people's life. Evaluates their development of low carbon economy, reveals the advantages and deficiencies in Hebei low carbon economy, and puts forward countermeasures.","PeriodicalId":165836,"journal":{"name":"Business Intelligence and Financial Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114452742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Human Capital Pricing in Financial Sector - A Case of China's Listed Banks 金融部门人力资本定价——以中国上市银行为例
Business Intelligence and Financial Engineering Pub Date : 1900-01-01 DOI: 10.1109/BIFE.2013.38
Xin Wu, Tianyu Jin, Haixia Chen
{"title":"Human Capital Pricing in Financial Sector - A Case of China's Listed Banks","authors":"Xin Wu, Tianyu Jin, Haixia Chen","doi":"10.1109/BIFE.2013.38","DOIUrl":"https://doi.org/10.1109/BIFE.2013.38","url":null,"abstract":"The problem of constraints and incentives to the financial human capital has been increasingly prominent. Within the theoretical frame of the pricing of the human capital and compensation in the financial sector, this paper analyses the mechanism of the executive compensation in China's bank sector. This paper selected some important indicators such as performance and corporate governance from 16 listed banks by establishing the factor analysis model to make the empirical analysis and based on which, it gives the logic of pricing of human capital and the transition of China's financial system.","PeriodicalId":165836,"journal":{"name":"Business Intelligence and Financial Engineering","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126376807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Capital Structure Influence Factors Research of Regional Listed Companies - On the Basis of Comparison of Zhejiang and Liaoning Province 区域上市公司资本结构影响因素研究——基于浙江与辽宁的比较
Business Intelligence and Financial Engineering Pub Date : 1900-01-01 DOI: 10.1109/BIFE.2012.78
Daijun Zhang, Liwen Zhao, Weiwei Bao
{"title":"Capital Structure Influence Factors Research of Regional Listed Companies - On the Basis of Comparison of Zhejiang and Liaoning Province","authors":"Daijun Zhang, Liwen Zhao, Weiwei Bao","doi":"10.1109/BIFE.2012.78","DOIUrl":"https://doi.org/10.1109/BIFE.2012.78","url":null,"abstract":"This paper choose financial date in 2010, including 132 listed companies in Zhejiang province and 44 listed companies in Liaoning province which went public in Shanghai and Shenzhen exchange before 2010. Through statistics software spss 16.0, using least square method of multiple regression analysis with goodness-of-fit R2 inspection, whole F test of regression equation and the T test of independent variable coefficient, we can find the influence factors that have significant effect on capital structure. It turns out that capital structure in Zhejiang province has significant positive correlation with company scale, profitability and asset collateral value, and income tax; it has significant negative relationship with debt paying ability, internal accumulation ability ; it has non-significant relationship with growth ability, assets operation ability. Capital structure of the listed company in Liaoning province has significant positive correlation with growth, asset collateral value, income tax; it has significant negative relationship with profitability, solvency, operation ability ; and it has non-significant correlation with company size, internal accumulation ability.","PeriodicalId":165836,"journal":{"name":"Business Intelligence and Financial Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131178975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Analysis on China Business Cycle: A DSGE Approach 中国经济周期分析:一种DSGE方法
Business Intelligence and Financial Engineering Pub Date : 1900-01-01 DOI: 10.1109/BIFE.2012.82
Ying-yue Hu
{"title":"Analysis on China Business Cycle: A DSGE Approach","authors":"Ying-yue Hu","doi":"10.1109/BIFE.2012.82","DOIUrl":"https://doi.org/10.1109/BIFE.2012.82","url":null,"abstract":"This paper estimates and simulates a sticky-price dynamic stochastic general-equilibrium model with a financial accelerator, to find out the relative importance of sources inducing China economy fluctuation. The estimation and simulation results provide quantitative evidence that supply factors are the main source. The importance of demand side factors for output fluctuation is relatively minor, so authorities should pay more attention on supply capacity.","PeriodicalId":165836,"journal":{"name":"Business Intelligence and Financial Engineering","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114220454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intraday Volume-Volatility Dynamics in CSI 300 Futures Market 沪深300期货市场日内成交量波动动态分析
Business Intelligence and Financial Engineering Pub Date : 1900-01-01 DOI: 10.1109/BIFE.2013.84
Zhen Yu, Susheng Wang
{"title":"Intraday Volume-Volatility Dynamics in CSI 300 Futures Market","authors":"Zhen Yu, Susheng Wang","doi":"10.1109/BIFE.2013.84","DOIUrl":"https://doi.org/10.1109/BIFE.2013.84","url":null,"abstract":"Using 1-min transaction data, this study investigates the relationship between volume and volatility in CSI 300 futures market in China. Unit root test indicates that return series are stationary. LB-Q and ARCH-LM statistics confirm volatility clustering and time-vary volatility. ARMA (2, 2)-EGARCH (1, 1) model find evidence of GARCH effect, and positive shocks have a greater impact on volatility than negative shocks. Furthermore, the coefficients of both contemporaneous and lagged volume are positive and significant statistically, indicate that volume as information flow indicators, may explain the volatility, Both MDH and SIA hypothesizes are verified in China. These findings have significant implications for the traders and policymakers.","PeriodicalId":165836,"journal":{"name":"Business Intelligence and Financial Engineering","volume":"330 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122826366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A New Method of Fuzzy Linear Programming Problems 模糊线性规划问题的一种新方法
Business Intelligence and Financial Engineering Pub Date : 1900-01-01 DOI: 10.1109/BIFE.2009.50
Wenguang Tang, Yunling Luo
{"title":"A New Method of Fuzzy Linear Programming Problems","authors":"Wenguang Tang, Yunling Luo","doi":"10.1109/BIFE.2009.50","DOIUrl":"https://doi.org/10.1109/BIFE.2009.50","url":null,"abstract":"This paper proposes a method for solving fuzzy linear programming problems where all the coefficients are fuzzy numbers. Firstly, this paper use the expected value of fuzzy variable presented by Baoding Liu to compare two fuzzy numbers. Secondly, this paper offer the acceptable solution of fuzzy linear programming for the decision-maker in different degrees of feasiblity. Lastly, we solve one numerical example using this method.","PeriodicalId":165836,"journal":{"name":"Business Intelligence and Financial Engineering","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132725621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Analysis of ERP II Implementing Option Problem with Asymmetric Information 信息不对称的ERP II实施选择问题分析
Business Intelligence and Financial Engineering Pub Date : 1900-01-01 DOI: 10.1109/BIFE.2009.78
Linan Wang, Milis Keon
{"title":"Analysis of ERP II Implementing Option Problem with Asymmetric Information","authors":"Linan Wang, Milis Keon","doi":"10.1109/BIFE.2009.78","DOIUrl":"https://doi.org/10.1109/BIFE.2009.78","url":null,"abstract":"The ERP II implementing options are enlargement of the financial options. Its essence is object item investment and policy decision of management. In this paper ERP II implementing option functions of client and vendor are described. The optimization investment policy decision of the ERP II implementing option has been analyzed under different information conditions. The vendor of ERP II implementing options hides implementing evaluation level information under asymmetry information. It is a principal-agent problem having adverse selection. This paper designed that objective function is taken at the biggest mathematical expectation value of investment profit. The optimization control of state equation is taken at implementing control cost and evaluation level. Using maximal principle the found solution scheme of ERP II implementing options optimization controlling cost and evaluation level has been derived. Finally, the simulation experiment in ERP II implementing options was made. The analysis result of ERP II implementing options is verified.","PeriodicalId":165836,"journal":{"name":"Business Intelligence and Financial Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127692591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Why Don't Companies Borrow? Evidence from China's Listed Companies 为什么公司不借钱?来自中国上市公司的证据
Business Intelligence and Financial Engineering Pub Date : 1900-01-01 DOI: 10.1109/BIFE.2013.49
Liping Xiao, Zhe Li
{"title":"Why Don't Companies Borrow? Evidence from China's Listed Companies","authors":"Liping Xiao, Zhe Li","doi":"10.1109/BIFE.2013.49","DOIUrl":"https://doi.org/10.1109/BIFE.2013.49","url":null,"abstract":"In order to find out why some companies adopt an extreme capital structure of zero debt, we use the data of China's listed companies to analyze the features of those zero debt companies. Our empirical results show that some factors influence the choice of zero debt policy. Our analysis explains what kind of company may adopt zero debt, and also contribute to the research of low leverage.","PeriodicalId":165836,"journal":{"name":"Business Intelligence and Financial Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129731975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of Grey Dynamic Programming Model for Optimizing Regional Industrial Structure 灰色动态规划模型在区域产业结构优化中的应用
Business Intelligence and Financial Engineering Pub Date : 1900-01-01 DOI: 10.1109/BIFE.2012.66
Ling-ling Pei, Xin-Zheng Wang
{"title":"Application of Grey Dynamic Programming Model for Optimizing Regional Industrial Structure","authors":"Ling-ling Pei, Xin-Zheng Wang","doi":"10.1109/BIFE.2012.66","DOIUrl":"https://doi.org/10.1109/BIFE.2012.66","url":null,"abstract":"Grey dynamic programming model of grey prediction type is employed to optimize regional industrial structure under the corresponding resource constraints. GM(1,1) model is used to whiten the grey consumption matrix and grey constraints vector for resource in the grey dynamic programming model. On this basis, this paper makes a multi-faceted quantitative research on the industrial structure optimization for M city, China. The results show that the proportion of the tertiary industry is showing an obvious rising trend while the primary industry is declining, the secondary industry shows a slight drop on the basis of relative stability.","PeriodicalId":165836,"journal":{"name":"Business Intelligence and Financial Engineering","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129809977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Impact of the Introduction of Securities Margin Trade on Stock Abnormal Returns 引入融资融券交易对股票异常收益的影响
Business Intelligence and Financial Engineering Pub Date : 1900-01-01 DOI: 10.1109/BIFE.2013.60
Qing Ding, Yucan Liu
{"title":"Impact of the Introduction of Securities Margin Trade on Stock Abnormal Returns","authors":"Qing Ding, Yucan Liu","doi":"10.1109/BIFE.2013.60","DOIUrl":"https://doi.org/10.1109/BIFE.2013.60","url":null,"abstract":"Two groups of securities were permitted respectively to start margin trading on March 31th, 2010 and December 5th, 2011, which suggested an advancement of Chinese Securities Market. In this paper, with the sample data consisting of these stocks, the impact of the introduction of securities margin trade on stock short-term and long-run abnormal returns is studied, and the explanation of the resource of impact is given from the aspects of liquidity and dispersion of opinion, based on multivariate linear regression model. The empirical results show that in the short period after the introduction of securities margin trade, most sample stocks experience a decline in abnormal returns, while the liquidity of stocks increases. Stocks with high liquidity as well as low sensibility to liquidity before the introduction will experience a decline in abnormal returns after the introduction. Greater dispersion of opinion also leads to lower abnormal returns. In the long period after the introduction of securities margin trade, however, most sample stocks experience an increase in abnormal returns. Moreover, liquidity and dispersion of opinion have little influence on the abnormal returns.","PeriodicalId":165836,"journal":{"name":"Business Intelligence and Financial Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124651842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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