In this paper, an econometric model for the aquatic products consumption of urban residents was established, aiming at investigating the different effects of seven factors （urban residents＇ annual disposable income,...In this paper, an econometric model for the aquatic products consumption of urban residents was established, aiming at investigating the different effects of seven factors （urban residents＇ annual disposable income, annual consumption quantity of pork and poultry and related byproducts, family structure, aging level, educational background, having meals out of home, and the number of retail chains stores） on the aquatic products consumption quantity of urban residents. The result of the model showed urban residents＇ annual disposable income and having meals out of home play the greatest effect on the consumption of aquatic products, followed by the number of retail chains stores; family structure plays a negative effect on the consumption of aquatic products. Also, the analysis shows not only the prices of the aquatic products as well as substitutes should be considered and also the quantity of the meals consumed by residents out of home and the number of retail chains stores should be used as important associated factors in studying the change trend of aquatic products consumption, and simultaneously the effect of family structure on the consumption quantity of aquatic products should be taken seriously, so that the aquatic products consumption of Chinese residents should be further promoted and also the aquatic products market can attain a development.展开更多
This article used the Cluster analysis of statistical method to separate China＇s 30 provinces and municipalities into three categories according to their energy consumption discrepancies and characteristics from 1985...This article used the Cluster analysis of statistical method to separate China＇s 30 provinces and municipalities into three categories according to their energy consumption discrepancies and characteristics from 1985 to 2007. The categories were high, moderate and low energy consumption areas and they had significant differences in energy consumption. Based on this classification, the authors analyzed the influencing factors of energy consumption in the three areas by means of panel data econometric model. The results showed that the influencing factors were obviously different. In order to support national goal of energy conservation and emission reduction, the energy measures and policies should be distinctly taken.展开更多
文摘In this paper, an econometric model for the aquatic products consumption of urban residents was established, aiming at investigating the different effects of seven factors （urban residents＇ annual disposable income, annual consumption quantity of pork and poultry and related byproducts, family structure, aging level, educational background, having meals out of home, and the number of retail chains stores） on the aquatic products consumption quantity of urban residents. The result of the model showed urban residents＇ annual disposable income and having meals out of home play the greatest effect on the consumption of aquatic products, followed by the number of retail chains stores; family structure plays a negative effect on the consumption of aquatic products. Also, the analysis shows not only the prices of the aquatic products as well as substitutes should be considered and also the quantity of the meals consumed by residents out of home and the number of retail chains stores should be used as important associated factors in studying the change trend of aquatic products consumption, and simultaneously the effect of family structure on the consumption quantity of aquatic products should be taken seriously, so that the aquatic products consumption of Chinese residents should be further promoted and also the aquatic products market can attain a development.
文摘This article used the Cluster analysis of statistical method to separate China＇s 30 provinces and municipalities into three categories according to their energy consumption discrepancies and characteristics from 1985 to 2007. The categories were high, moderate and low energy consumption areas and they had significant differences in energy consumption. Based on this classification, the authors analyzed the influencing factors of energy consumption in the three areas by means of panel data econometric model. The results showed that the influencing factors were obviously different. In order to support national goal of energy conservation and emission reduction, the energy measures and policies should be distinctly taken.
