从回归方程知， 劳动力产出弹性为 3．14， 即增加1％的劳动力投入可

从回归方程知， 劳动力产出弹性为 3．14， 即增加1％的劳动力投入可带来 3．14％产出的增加； 资本产出弹性为 0．50， 即增加 1％的资本投入可带来 0．50％的产出增加。 估计参数均为 15 年数据的平均值。 另外，从1991－2005 年数据可测算出我国农产品物流业产出、劳动力投入及资本投入年均增长率分别为 19．47％，9．29％和 80．03％。由此，通过回归获得的弹性系数和及全要素生产率公式， 可计算出 1991－2005 年期间农产品物流业平均要素贡献率，结果如表 3 所示。

結果 (英文) 1:

From the regression equation known, labor output elasticity of 3.14, an increase of 1% of the labor input can bring output increased by 3.14%; capital-output elasticity of 0.50, an increase of 1% of the capital invested may be 0.50% increase in output brought. Estimated parameters are averages 15 years of data. In addition, data from 1991-2005 can measure out the logistics industry in China's agricultural output, labor input and capital investment annual growth rate was 19.47%, 9.29% and 80.03%. Thus, the elasticity coefficient obtained by regression and total factor productivity and the formulaCalculate the average contribution rate factor agricultural logistics industry during 1991-2005, the results shown in Table 3.

結果 (英文) 2:

From the regression equation, the output elasticity of labor is 3.14, namely 1% increase in labor input increased 3.14% from output; output elasticity of capital is 0.50, that is a 1% increase in capital investment can bring 0.50% of the increase in output. Parameter estimation is the average value of 15 years of data. In addition, the data could be calculated from the 19912005 agricultural logistics output, labor input and capital input average annual growth rates were 19.47%, 9.29% and 80.03%. Thus, elasticity coefficient of the regression obtained and total factor productivity formula,Can calculate the 19912005 years during the logistics industry of agricultural products the average contribution rate of elements, as shown in table 3.

結果 (英文) 3:

From the regression equation known, labour output elasticity is 3. 14, 1% increase in labour input leads 3. 14% output increases; capital-output elasticity is 0. 50, an increase of 1% capital leads to 0. 50% of output increases. Average of the estimated parameters for the 15 data. In addition, the data can be calculated from the 1991-2005 of China's agricultural products logistics industry output and labor input and capital investment annual average growth rates of 19 per cent. 47%,9. And 29%. 3%. Thus, elasticity coefficient obtained through regression formula and total factor productivity, Calculates average factor contribution rate of agricultural products logistics industry during the 1991-2005 period, the results as shown in table 3.