Based on the Keynesian IS curve and MS-TVTP model,this paper studies the phase operating characteristics and driving mechanism of Chinese business growth cycle fluctuation by specifying output gap series through coinc...Based on the Keynesian IS curve and MS-TVTP model,this paper studies the phase operating characteristics and driving mechanism of Chinese business growth cycle fluctuation by specifying output gap series through coincident composite index and estimating expectation variable through state space model.The results are that the influences of output gap expectation on business growth cycle are positive and the effects of real interest rate are negative.Both of them exert asymmetric features in different regimes.The estimation results of smoothed probability and transition probability show that the financial and investment composite indexes are the significant driving factors of business growth cycle switch among different regimes.Compared to promoting economic growth,the monetary policy plays a more effective role in decelerating the growth speed.Although the speed of investment’s influence during the economic downturn phase is rapid,the lag of its effects is lengthened due to the investment cycle and capital formation.Releasing reform dividend through stabilizing expectation and reducing the fluctuation of business cycle by employing the macro prudent government are important ways to maintain the steady growth of Chinese economy.展开更多
By constructing the iterative formula with a so-called convergence-control parameter, the generalized two-dimensional differential transform method is improved. With the enhanced technique, the nonlinear fractional Ko...By constructing the iterative formula with a so-called convergence-control parameter, the generalized two-dimensional differential transform method is improved. With the enhanced technique, the nonlinear fractional Kolmogorov-Petrovskii-Piskunov equations are dealt analytically and approximate solutions are derived. The results show that the employed approach is a promising tool for solving many nonlinear fractional partial differential equations. The algorithm described in this work is expected to be employed to solve more problems in fractional calculus.展开更多
基金the stage research results of a national nature science fund project:“research on the inner driving mechanism of China high tech industry R&D investment on technology innovation:structure change,two sides and policy effect(71303035)”Talents support plan in Liaoning Province higher education“research on effect mechanism of high technology industries in R&D investment on technological progress”.
文摘Based on the Keynesian IS curve and MS-TVTP model,this paper studies the phase operating characteristics and driving mechanism of Chinese business growth cycle fluctuation by specifying output gap series through coincident composite index and estimating expectation variable through state space model.The results are that the influences of output gap expectation on business growth cycle are positive and the effects of real interest rate are negative.Both of them exert asymmetric features in different regimes.The estimation results of smoothed probability and transition probability show that the financial and investment composite indexes are the significant driving factors of business growth cycle switch among different regimes.Compared to promoting economic growth,the monetary policy plays a more effective role in decelerating the growth speed.Although the speed of investment’s influence during the economic downturn phase is rapid,the lag of its effects is lengthened due to the investment cycle and capital formation.Releasing reform dividend through stabilizing expectation and reducing the fluctuation of business cycle by employing the macro prudent government are important ways to maintain the steady growth of Chinese economy.
基金Supported by National Natural Science Foundation of China under Grant No.71171035
文摘By constructing the iterative formula with a so-called convergence-control parameter, the generalized two-dimensional differential transform method is improved. With the enhanced technique, the nonlinear fractional Kolmogorov-Petrovskii-Piskunov equations are dealt analytically and approximate solutions are derived. The results show that the employed approach is a promising tool for solving many nonlinear fractional partial differential equations. The algorithm described in this work is expected to be employed to solve more problems in fractional calculus.
