By using principal component analysis, this paper selected some appropriate influencing indicators, and constructed multiple linear regression models to predict the development of energy-saving environmental protectio...By using principal component analysis, this paper selected some appropriate influencing indicators, and constructed multiple linear regression models to predict the development of energy-saving environmental protection industry（ESEPl） in Shanghai. The Influencing Factors can be categorized into comprehensive economic factors and environmental factors, and GDP of the second industries and the total industries GDP in comprehensive economic factors have the strongest correlation, while in the environmental index factors, the total discharge of waste water has the strongest correlation. On the basis of influencing factors study, the regression model shows that by the end of 2020, the industry investment will reach 89.788 billion RMB, which proves that the development of ESEPI in Shanghai would grow continuously and dramatically.展开更多
This paper argues that models developed in 20th century management literature can offer a valuable perspective on the organization of the ancient Roman wine trade. Similar to modem business, Roman entrepreneurs tried ...This paper argues that models developed in 20th century management literature can offer a valuable perspective on the organization of the ancient Roman wine trade. Similar to modem business, Roman entrepreneurs tried to enhance efficiency by implementing a wide range of techniques according to goals and available resources. The famous Ansoff matrix is used to analyse these techniques in function of the markets supplied by Roman merchants and the product diversification they applied. This approach explains how Roman entrepreneurs tried to cope with the limitations of a volatile pre-industrial business world： only the combination of a large family of semi-dependent agents and elite capital allowed successful large-scale engagement in the wine trade.展开更多
基金This research work was financially supported by the Shanghai Board of Education （2012-SHNGE-06ZD） , China Postdoctoral Science Foundation funded project （2013M531157） , and The Ministry of Education of Youth Fund Project of Humanities and Social Sciences Research （14YJC790152）
文摘By using principal component analysis, this paper selected some appropriate influencing indicators, and constructed multiple linear regression models to predict the development of energy-saving environmental protection industry（ESEPl） in Shanghai. The Influencing Factors can be categorized into comprehensive economic factors and environmental factors, and GDP of the second industries and the total industries GDP in comprehensive economic factors have the strongest correlation, while in the environmental index factors, the total discharge of waste water has the strongest correlation. On the basis of influencing factors study, the regression model shows that by the end of 2020, the industry investment will reach 89.788 billion RMB, which proves that the development of ESEPI in Shanghai would grow continuously and dramatically.
文摘This paper argues that models developed in 20th century management literature can offer a valuable perspective on the organization of the ancient Roman wine trade. Similar to modem business, Roman entrepreneurs tried to enhance efficiency by implementing a wide range of techniques according to goals and available resources. The famous Ansoff matrix is used to analyse these techniques in function of the markets supplied by Roman merchants and the product diversification they applied. This approach explains how Roman entrepreneurs tried to cope with the limitations of a volatile pre-industrial business world： only the combination of a large family of semi-dependent agents and elite capital allowed successful large-scale engagement in the wine trade.
