As the coronavirus pandemic spreads through the continents,it has dramatically disrupted everything in the global economy from stock markets and supply chains to oil and food prices,and in seeking to restrict the spre...As the coronavirus pandemic spreads through the continents,it has dramatically disrupted everything in the global economy from stock markets and supply chains to oil and food prices,and in seeking to restrict the spread of COVID-19,governments are shutting down whole commercial sectors which could cause a huge recession in some countries as the United Nations have already warned.All these new circumstances have raised again the fundamental questions about the future of our global economy.Therefore,this paper has tried to make sense of how the post-pandemic global economy would look like by shedding light on Jeremy Rifkin’s theory of the new industrial revolution and the coming disruption in the global market.展开更多
Built on artificial intelligence, digitalization, and information technologies, the ＂Third Industrial Revolution ＂＂ transforms large-scale assembly lines and flexible manufacturing system with fundamental modern ma...Built on artificial intelligence, digitalization, and information technologies, the ＂Third Industrial Revolution ＂＂ transforms large-scale assembly lines and flexible manufacturing system with fundamental modern manufacturing technologies and features personalized manufacturing, which is enabled by reconfigurable manufacturing system, and quick market response. It is a profound transformation of techno-economic paradigms, imbedded in the technology, management, and institutional systems. As this revolution deepens, it is likely that manufacturing and the manufacturing sector would acquire new definitions. In addition, the resource foundation and factor structure, which are central to the competitiveness of a nation and an enterprise, would perhaps be reconfigured, hence rewriting the landscape of global industrial competition. Under this scenario, the ＂smiling curve ＇＂ which used to portray the economic features of the value chain, may change into a ＂silence curve＂ or even ＂sadness curve ＂. The catching- up pathway of latecomer countries, as predicted by the traditional ＇flying geese model＂, is likely to be blocked, solidifying the division of＂core and periphery countries＂ which is unfavorable to developing countries. Industrial competition between countries would move from competition between enterprises and supply chains to competition in industrial ecosystems, matdng system adaptability and dynamics the key to long-term industrial competitiveness. As an effort to embrace the ＂Third Industrial Revolution＂ and meet the challenges brought by ＂multi-facets competition＂ with developed industrial nations in various links of value chain, in the future China should make appropriate adjustments in its strategies for economic transition and upgrading, global competition, technological innovation, industrial development and information technology.展开更多
The report of Chinese Communist Party's 18th National Congress clearly stated that the construction of ecological civilization needs to join hands with the overall layout of the construction of socialism with Chin...The report of Chinese Communist Party's 18th National Congress clearly stated that the construction of ecological civilization needs to join hands with the overall layout of the construction of socialism with Chinese characteristics,and the greatest obstacle to achieving ecological civilization is the energy structure in China.Currently,the third industrial revolution—marked by green technology and cloud computing technology—is happening,and it will have a huge impact on future energy development.The fundamental way to solve the problem of energy resource constraints is developing the renewable energy,and the fundamental approach for renewable energy is developing distributed energy and services.The important factors to achieving China's energy production and consumption revolution are accelerating the construction of distributed energy system and overall energy structure adjustment in China.展开更多
At present, it is projected that about 4 zettabytes （or 10^＊＊21 bytes） of digital data are being generated per year by everything from underground physics experiments to retail transactions to security cameras to ...At present, it is projected that about 4 zettabytes （or 10^＊＊21 bytes） of digital data are being generated per year by everything from underground physics experiments to retail transactions to security cameras to global positioning systems. In the U. S., major research programs are being funded to deal with big data in all five sectors （i.e., services, manufacturing, construction, agriculture and mining） of the economy. Big Data is a term applied to data sets whose size is beyond the ability of available tools to undertake their acquisition, access, analytics and/or application in a reasonable amount of time. Whereas Tien （2003） forewarned about the data rich, information poor （DRIP） problems that have been pervasive since the advent of large-scale data collections or warehouses, the DRIP conundrum has been somewhat mitigated by the Big Data approach which has unleashed information in a manner that can support informed - yet, not necessarily defensible or valid - decisions or choices. Thus, by somewhat overcoming data quality issues with data quantity, data access restrictions with on-demand cloud computing, causative analysis with correlative data analytics, and model-driven with evidence-driven applications, appropriate actions can be undertaken with the obtained information. New acquisition, access, analytics and application technologies are being developed to further Big Data as it is being employed to help resolve the 14 grand challenges （identified by the National Academy of Engineering in 2008）, underpin the 10 breakthrough technologies （compiled by the Massachusetts Institute of Technology in 2013） and support the Third Industrial Revolution of mass customization.展开更多
文摘As the coronavirus pandemic spreads through the continents,it has dramatically disrupted everything in the global economy from stock markets and supply chains to oil and food prices,and in seeking to restrict the spread of COVID-19,governments are shutting down whole commercial sectors which could cause a huge recession in some countries as the United Nations have already warned.All these new circumstances have raised again the fundamental questions about the future of our global economy.Therefore,this paper has tried to make sense of how the post-pandemic global economy would look like by shedding light on Jeremy Rifkin’s theory of the new industrial revolution and the coming disruption in the global market.
文摘Built on artificial intelligence, digitalization, and information technologies, the ＂Third Industrial Revolution ＂＂ transforms large-scale assembly lines and flexible manufacturing system with fundamental modern manufacturing technologies and features personalized manufacturing, which is enabled by reconfigurable manufacturing system, and quick market response. It is a profound transformation of techno-economic paradigms, imbedded in the technology, management, and institutional systems. As this revolution deepens, it is likely that manufacturing and the manufacturing sector would acquire new definitions. In addition, the resource foundation and factor structure, which are central to the competitiveness of a nation and an enterprise, would perhaps be reconfigured, hence rewriting the landscape of global industrial competition. Under this scenario, the ＂smiling curve ＇＂ which used to portray the economic features of the value chain, may change into a ＂silence curve＂ or even ＂sadness curve ＂. The catching- up pathway of latecomer countries, as predicted by the traditional ＇flying geese model＂, is likely to be blocked, solidifying the division of＂core and periphery countries＂ which is unfavorable to developing countries. Industrial competition between countries would move from competition between enterprises and supply chains to competition in industrial ecosystems, matdng system adaptability and dynamics the key to long-term industrial competitiveness. As an effort to embrace the ＂Third Industrial Revolution＂ and meet the challenges brought by ＂multi-facets competition＂ with developed industrial nations in various links of value chain, in the future China should make appropriate adjustments in its strategies for economic transition and upgrading, global competition, technological innovation, industrial development and information technology.
文摘The report of Chinese Communist Party's 18th National Congress clearly stated that the construction of ecological civilization needs to join hands with the overall layout of the construction of socialism with Chinese characteristics,and the greatest obstacle to achieving ecological civilization is the energy structure in China.Currently,the third industrial revolution—marked by green technology and cloud computing technology—is happening,and it will have a huge impact on future energy development.The fundamental way to solve the problem of energy resource constraints is developing the renewable energy,and the fundamental approach for renewable energy is developing distributed energy and services.The important factors to achieving China's energy production and consumption revolution are accelerating the construction of distributed energy system and overall energy structure adjustment in China.
文摘At present, it is projected that about 4 zettabytes （or 10^＊＊21 bytes） of digital data are being generated per year by everything from underground physics experiments to retail transactions to security cameras to global positioning systems. In the U. S., major research programs are being funded to deal with big data in all five sectors （i.e., services, manufacturing, construction, agriculture and mining） of the economy. Big Data is a term applied to data sets whose size is beyond the ability of available tools to undertake their acquisition, access, analytics and/or application in a reasonable amount of time. Whereas Tien （2003） forewarned about the data rich, information poor （DRIP） problems that have been pervasive since the advent of large-scale data collections or warehouses, the DRIP conundrum has been somewhat mitigated by the Big Data approach which has unleashed information in a manner that can support informed - yet, not necessarily defensible or valid - decisions or choices. Thus, by somewhat overcoming data quality issues with data quantity, data access restrictions with on-demand cloud computing, causative analysis with correlative data analytics, and model-driven with evidence-driven applications, appropriate actions can be undertaken with the obtained information. New acquisition, access, analytics and application technologies are being developed to further Big Data as it is being employed to help resolve the 14 grand challenges （identified by the National Academy of Engineering in 2008）, underpin the 10 breakthrough technologies （compiled by the Massachusetts Institute of Technology in 2013） and support the Third Industrial Revolution of mass customization.
