A FGR Software Model for Measuring the Effect of Technological Progress

The work of quantitative studying the effect of technological progress on economic growth, being of great complexity and far-reaching significance, has become a quite popular research topic in the world. In recent years there are a large number of scientists who are engaged in this research both at home and abroad.

What Drives China’s Transformational Growth:Technology,Efficiency or Factor Cost?

With rising costs of capital, labor and energy, cost efficiency and cost management have become important questions confronting the next stage of China＇s economic growth. By building a parametric cost frontier model using panel data, this paper investigates the drivers of economic growth transformation from a cost perspective. According to our research, among various effects triggering corporate cost variations and in addition to the expansion of production scale, the largest effect is from technological progress, followed by the effect of factor price adjustment and the effect of efficiency gains. Within the decomposition of factor price adjustment effect, the energy factor effect is the most significant. Furthermore, energy price fluctuations are likely to become major factors restricting saving-based growth. Further study reveals that both the ownership reform and opening up of SOEs are favorable to reducing the costs generated by inefficiency. This paper provides empirical evidence for the driving mechanism of saving-based growth transformation as well as empirical evidence to support to the further deepening of property rights and market-oriented reforms.

Has Global Division of Labor Increased Markup of Chinese Enterprises?

The paper calculates the number of production stages for measurement of production segmentation,and discusses and depicts the microscopic impacts and effects of production segmentation of labor division of the global value chain on enterprise markup.The DLW method is used to calculate the markup of Chinese enterprises,the fi xed-effect model is used to analyze the impact of labor division of the global value chain on enterprise markup,and an instrumental variable method is constructed to relieve endogeneity.The research findings show that enterprises have significantly increased their markup by choosing global production segmentation,international production segmentation and domestic production segmentation.Global production segmentation can significantly increase the markup of low-productivity enterprises,hi-tech enterprises and private enterprises.Particularly,low-productivity enterprises choose international production segmentation and hi-tech enterprises choose domestic production segmentation.Production segmentation can offset to a certain extent low markup of export enterprises and domestic-oriented enterprises caused by the“competition effect”.In addition,enterprises’“technological progress effect”and“trade cost effect”are two possible channels by which production segmentation facilitates the increase of markup.The paper enriches and expands the literature about the impacts of labor division of the global value chain on enterprise markup,the robustness is analyzed from the perspectives of enterprise heterogeneity,industrial&technical heterogeneity and structure,and the impact mechanism is validated through the intermediate effect model.Our important findings are of important implications for solving the“low markup trap”of Chinese enterprises and enhancing labor division of the global value chain of enterprises.