Therefore, this paper introduces environment tax variable to utility function and makes experiential analysis by building a panel data model in the coastal area in Jiangsu province.
对此，将环境税收引入效用函数进行数理分析，并以江苏沿海区域为例，构建面板数据模型进行实证研究。
This paper builds a conditional two-factor measure model, and proves the efficiency of this model using panel data regression skill. The samples are 54 Chinese close-end funds.
基于此，本文构建了条件双因子评价模型，并且以中国全部54只封闭式基金为样本采用面板数据回归技巧验证了该模型的有效性。
It also calculates the conditional convergence speed of the province by applying Solow-Swan model with panel data, and finds that a slow but steady catch-up does exist in the province.
利用斯旺-索洛模型，借助面板数据，对福建省各地区经济增长条件收敛进行分析，估算条件收敛速度，揭示了福建省落后地区以较低速度实现对发达地区的赶超的事实。
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