For a long time, the factors influencing a regional economic growth are mainly workforce, capital and scientific and technological progress. But with the further promotion of China＇s reform and opening-up and intensi...For a long time, the factors influencing a regional economic growth are mainly workforce, capital and scientific and technological progress. But with the further promotion of China＇s reform and opening-up and intensification of the further improvement degree, the main factors influencing a regional economic growth constantly change. This paper utilizes the relevant data of Sichuan to set up the econometric model and quantitatively studies the factors influencing economic growth of Sichuan. Through comparing the greatness that each factor influences the economic growth of Sichuan, the paper takes system changes as leading factor to influence the economic growth during 1984-2003 of Sichuan. At the same time, the upgrading of industrial structure will be a core of economic growth in the future, and the scientific and technological progress is the potential force of economic growth.展开更多
The aim of this study was to develop an adequate mathematical model for long-term forecasting of technological progress and economic growth in the digital age (2020-2050). In addition, the task was to develop a model ...The aim of this study was to develop an adequate mathematical model for long-term forecasting of technological progress and economic growth in the digital age (2020-2050). In addition, the task was to develop a model for forecast calculations of labor productivity in the symbiosis of “man + intelligent machine”, where an intelligent machine (IM) is understood as a computer or robot equipped with elements of artificial intelligence (AI), as well as in the digital economy as a whole. In the course of the study, it was shown that in order to implement its goals the Schumpeter-Kondratiev innovation and cycle theory on forming long waves (LW) of economic development influenced by a powerful cluster of economic technologies engendered by industrial revolutions is most appropriate for a long-term forecasting of technological progress and economic growth. The Solow neoclassical model of economic growth, synchronized with LW, gives the opportunity to forecast economic dynamics of technologically advanced countries with a greater precision up to 30 years, the time which correlates with the continuation of LW. In the information and digital age, the key role among the main factors of growth (capital, labour and technological progress) is played by the latter. The authors have developed an information model which allows for forecasting technological progress basing on growth rates of endogenous technological information in economics. The main regimes of producing technological information, corresponding to the eras of information and digital economies, are given in the article, as well as the Lagrangians that engender them. The model is verified on the example of the 5<sup>th</sup> information LW for the US economy (1982-2018) and it has had highly accurate approximation for both technological progress and economic growth. A number of new results were obtained using the developed information models for forecasting technological progress. The forecasting trajectory of economic growth of developed countries (on the example of the USA) on the upward stage of the 6<sup>th</sup> LW (2018-2042), engendered by the digital technologies of the 4<sup>th</sup> Industrial Revolution is given. It is also demonstrated that the symbiosis of human and intelligent machine (IM) is the driving force in the digital economy, where man plays the leading role organizing effective and efficient mutual work. Authors suggest a mathematical model for calculating labour productivity in the digital economy, where the symbiosis of “human + IM” is widely used. The calculations carried out with the help of the model show: 1) the symbiosis of “human + IM” from the very beginning lets to realize the possibilities of increasing work performance in the economy with the help of digital technologies;2) the largest labour productivity is achieved in the symbiosis of “human + IM”, where man labour prevails, and the lowest labour productivity is seen where the largest part of the work is performed by IM;3) developed countries may achieve labour productivity of 3% per year by the mid-2020s, which has all the chances to stay up to the 2040s.展开更多
Since 2010, there has been renewed discussion on China＇s economic future. After 30 years of breakneck economic growth, China＇s position in the world economy is more important than ever and people must understand how...Since 2010, there has been renewed discussion on China＇s economic future. After 30 years of breakneck economic growth, China＇s position in the world economy is more important than ever and people must understand how China＇s economic dominance will change the world economy. Some economists who are bearish about China＇s future believe that China＇s growth engine will lose fire in the next two or three years. To address their predictions about China＇s future, the author will address three themes： （11） Why did China manage to grow so rapidly？ （2） How long will China keep growing？ （3） Can China＇s economy keep growing in the future？ By analyzing the theory of inadequate consumer demand in China and by evaluating the general patterns of China＇s basic advantages in education, technology and human capital and industrial upgrading, the author explicitly argue why it is unlikely for China to fall into the ＂middle-income trap. ＂展开更多
This book review provides a multi-dimensional discussion on how the text(two editions)delivers not only factual information regarding European economic history,but focuses on the relevance and constructive uses of eco...This book review provides a multi-dimensional discussion on how the text(two editions)delivers not only factual information regarding European economic history,but focuses on the relevance and constructive uses of economic concepts,theories,and statistical analyses on issues regarding industrial economics.One major concern within industrial economics is the failure to recognize past experiences(the importance of history).Accordingly,the book contains a considerable amount of discussion about the problems and changes in the history of economic distribution associated with specific locations of economic activities,income,resources,production,international economic integration,and spatial economic activities in Europe.Furthermore,economic issues related to the international relationship between Europe and some developing countries are also elaborated.This book review serves as more than a summary:it highlights several intellectual and research-oriented aspects of the book that may benefit studies of economic industrialization and the humanities and social sciences more broadly.In particular,several aspects are evaluated,suggesting the extent of its comprehensiveness and the important data provided in the book.Finally,certain differences observed between the first and second editions of the book are also acknowledged and explained.展开更多
文摘For a long time, the factors influencing a regional economic growth are mainly workforce, capital and scientific and technological progress. But with the further promotion of China＇s reform and opening-up and intensification of the further improvement degree, the main factors influencing a regional economic growth constantly change. This paper utilizes the relevant data of Sichuan to set up the econometric model and quantitatively studies the factors influencing economic growth of Sichuan. Through comparing the greatness that each factor influences the economic growth of Sichuan, the paper takes system changes as leading factor to influence the economic growth during 1984-2003 of Sichuan. At the same time, the upgrading of industrial structure will be a core of economic growth in the future, and the scientific and technological progress is the potential force of economic growth.
文摘The aim of this study was to develop an adequate mathematical model for long-term forecasting of technological progress and economic growth in the digital age (2020-2050). In addition, the task was to develop a model for forecast calculations of labor productivity in the symbiosis of “man + intelligent machine”, where an intelligent machine (IM) is understood as a computer or robot equipped with elements of artificial intelligence (AI), as well as in the digital economy as a whole. In the course of the study, it was shown that in order to implement its goals the Schumpeter-Kondratiev innovation and cycle theory on forming long waves (LW) of economic development influenced by a powerful cluster of economic technologies engendered by industrial revolutions is most appropriate for a long-term forecasting of technological progress and economic growth. The Solow neoclassical model of economic growth, synchronized with LW, gives the opportunity to forecast economic dynamics of technologically advanced countries with a greater precision up to 30 years, the time which correlates with the continuation of LW. In the information and digital age, the key role among the main factors of growth (capital, labour and technological progress) is played by the latter. The authors have developed an information model which allows for forecasting technological progress basing on growth rates of endogenous technological information in economics. The main regimes of producing technological information, corresponding to the eras of information and digital economies, are given in the article, as well as the Lagrangians that engender them. The model is verified on the example of the 5<sup>th</sup> information LW for the US economy (1982-2018) and it has had highly accurate approximation for both technological progress and economic growth. A number of new results were obtained using the developed information models for forecasting technological progress. The forecasting trajectory of economic growth of developed countries (on the example of the USA) on the upward stage of the 6<sup>th</sup> LW (2018-2042), engendered by the digital technologies of the 4<sup>th</sup> Industrial Revolution is given. It is also demonstrated that the symbiosis of human and intelligent machine (IM) is the driving force in the digital economy, where man plays the leading role organizing effective and efficient mutual work. Authors suggest a mathematical model for calculating labour productivity in the digital economy, where the symbiosis of “human + IM” is widely used. The calculations carried out with the help of the model show: 1) the symbiosis of “human + IM” from the very beginning lets to realize the possibilities of increasing work performance in the economy with the help of digital technologies;2) the largest labour productivity is achieved in the symbiosis of “human + IM”, where man labour prevails, and the lowest labour productivity is seen where the largest part of the work is performed by IM;3) developed countries may achieve labour productivity of 3% per year by the mid-2020s, which has all the chances to stay up to the 2040s.
文摘Since 2010, there has been renewed discussion on China＇s economic future. After 30 years of breakneck economic growth, China＇s position in the world economy is more important than ever and people must understand how China＇s economic dominance will change the world economy. Some economists who are bearish about China＇s future believe that China＇s growth engine will lose fire in the next two or three years. To address their predictions about China＇s future, the author will address three themes： （11） Why did China manage to grow so rapidly？ （2） How long will China keep growing？ （3） Can China＇s economy keep growing in the future？ By analyzing the theory of inadequate consumer demand in China and by evaluating the general patterns of China＇s basic advantages in education, technology and human capital and industrial upgrading, the author explicitly argue why it is unlikely for China to fall into the ＂middle-income trap. ＂
文摘This book review provides a multi-dimensional discussion on how the text(two editions)delivers not only factual information regarding European economic history,but focuses on the relevance and constructive uses of economic concepts,theories,and statistical analyses on issues regarding industrial economics.One major concern within industrial economics is the failure to recognize past experiences(the importance of history).Accordingly,the book contains a considerable amount of discussion about the problems and changes in the history of economic distribution associated with specific locations of economic activities,income,resources,production,international economic integration,and spatial economic activities in Europe.Furthermore,economic issues related to the international relationship between Europe and some developing countries are also elaborated.This book review serves as more than a summary:it highlights several intellectual and research-oriented aspects of the book that may benefit studies of economic industrialization and the humanities and social sciences more broadly.In particular,several aspects are evaluated,suggesting the extent of its comprehensiveness and the important data provided in the book.Finally,certain differences observed between the first and second editions of the book are also acknowledged and explained.
