The AK growth model is a standard endogenous model. This paper first solves the social planner's problem in this model and shows that the steady state is the only solution to this model. The paper then considers several generalizations of the AK model on the side of technology. Unlike the basic...

By analyzing the data of top 500 Chinese firms from the year 2002 to 2007, we reveal that their revenues and ranks obey the Zipf’s law with exponent of 1 for each year. This result confirms the universality of firm size character which has been presented in many other empirical works, since...

In this paper, the dynamic programming approach is exploited in order to identify the closed loop policy function, and the consumption smoothing mechanism in an endogenous growth model with time to build, linear technology and irreversibility constraint in investment. Moreover, the link among...

We propose a two-country growth model of intermediate business-services trade that captures the role of time zone differences. It is shown that a time-saving improvement in intermediate business-services trade involving production in different time zones can have a permanent impact on productivity.

This paper analyzes some unnoticed predictions of the two-sector AK model in line with the recent literature on embodied technical change. Firstly, by confining constant returns to capital to the investment sector, the AK model generates endogenously the secular downward trend of the relative...

The paper shows that the AK model can be solved analytically for Stone-Geary, exponential, and quadratic preferences and that it does not in general exhibit a steady-state solution for Stone-Geary and exponential preferences. The paper also examines preferences in which capital and the change of...

Some technologies save lives -- new vaccines, new surgical techniques, safer highways. Others threaten lives -- pollution, nuclear accidents, global warming, the rapid global transmission of disease, and bioengineered viruses. How is growth theory altered when technologies involve life and death...