英文摘要 |
This study applies the stochastic translog production frontier under variable returns to scale to investigate the effects of initial income, capital stock, financial development, human capital, and labor on a country's economic growth, in which each variable is transformed by taking the first difference in order to delete any inherent non-stationarity. This modeling tests the convergence hypothesis and decomposes productivity change into various elements. We collect data from 74 countries, covering 1980-2000, and find evidence that capital stock and human capital are complements, and that financial development is a substitute for human capital, but a complement for human capital. This study supports the convergence hypothesis through low and middle-income countries, whereby the speed of convergence in low-income countries is faster than in middleincome countries, while this study rejects the hypothesis for high-income countries. We note that the marginal productivity of capital of high-income countries is the highest, and that the marginal productivities of labor and human capital of low-income countries are the highest. Moreover, the average growth rate of total factor productivity for the sample states is equal to 3.52% per annum. |