The Technological Gap between China and World Frontiers at the Industrial Level:1985-2009

Using sequential DEA methodology, this paper has measured the variations in the technological gaps of China＇s industrial sectors compared with the world frontiers of technology. From a temporal dimension, variations in the technological gaps of China＇s industrial sectors can be divided into the following four stages： slight abatement of technological gaps between 1985 and 1992, and between 1999 and 2007; stagnation in the variation of technological gaps between 1994 and 1999; and continuous abatement of technological gaps between 2008 and 2009. From the industry dimension, by 2009, 58.8% of China＇s industrial sectors had gradually reached or approached the world frontiers of technology; 29.4% of industrial sectors had experienced technological improvements but still lagged far behind the world frontiers of technology; 11.8% of industrial sectors significantly lagged behind the world frontiers of technology.

Technical and environmental efficiency of hog production in China—A stochastic frontier production function analysis

This article analyses the technical and environmental efficiency of hog production in China using data from the China Agricultural Product Cost-Benefit Compilation（NDRC 2005–2013） and the First National Census of Pollution： Manual of Discharge Coefficient of Livestock and Poultry Industry（IEDA and NIES 2009）. The empirical results show a great variation in environmental efficiency, ranging from 0.344 to 0.973 with a mean value of 0.672 that declines over time. Southwest China is found to be the most environmentally efficient region, while the Northeast and the Northwest are the least efficient. Another finding is that technical and environmental efficiencies are highly correlated in hog production; the most environmentally efficient regions are usually found to have high technical efficiency, and vice versa. In addition, we computed the output elasticities with respect to each factor input. The results show that feed is the most efficient input, with an output elasticity of approximately 0.551, which is much higher than the elasticity of the nitrogen surplus, other capital or labour. The output elasticity with respect to the nitrogen surplus is 0.287 on average. Finally, the scale elasticity in hog production is slightly higher than 1.

IP &Innovation, within the Context of Frontier Technologies;A Matter of Accessibility with “Open” Questions?

Through a series of duly cited, and quoted (“–”), excerpts, originating mostly from two Technology Trends reports, WIPO (2019), WIPO (2021), an attempt to establish a pseudo dialog is proposed, in order to surface a few questions accessible to a larger public of innovators, who may have an interest in the IP accessibility dimension using Frontier Technologies (such as AI, IoT, 3D…). AT, Assistive Technology, is instrumental as a uniquely faceted example. The illustrations’ section extends the consideration and integration of additional “traits” of the field of interest and related. Intuitive answers are “reachable” and further literature is provided on the relevant matters and connected. The emphasis is on educational, illustrative and demonstrative value.

New technology opens the door for deepwater development

The paper provided an updated status of technology for deepwater field development, demonstrated the importance of its application through actual project example, and discussed some future technical development trends. The focus was on the floating structures. By reviewing some of the engineering aspects of the project, the technology advancement, innovations and challenges in offshore engineering were discussed and demonstrated. The author’s view of technical challenges facing deepwater forwarding was discussed, which covered water depth limitations, new material application, installation methods, riser development and operational issues. An overview of technologies that will enable deepwater projects to be extended into new frontiers was presented.

AI Inventions: The Best Mode Requirement, Is It up for Redefinition, Minimizing Potential Innovation Bias and Optimizing Visual Aids?

From the author, there are not less than a dozen of rather significant recent publications in scientific editions anticipating some aspects of importance to innovation such as “bigger data”, AI, IP, and frontier technology with a central massive contribution in 2020 on AI, IP, and EI. Nonetheless, the IP associated with AI remains still barely covered in scientific publications. Especially patent discussion tends to be rather a legal matter. Another trilogy, 2013, “Business Strategy-IP Strategy-R&D Strategy: An All-in-One Business Model” proposed by the author, marked the advent, and customized implementation of a new strategy level. After the two trilogies’ volumes, the AI-IP “accessibility” chapter was a logical step brought to the attention of a larger public by the author. The time now to bring to light another chapter, namely the IP eligibility of AI innovation steps in ad hoc inventions. The main objectives of this short, principally illustrated communication, are to: 1) Revise the best mode requirement status, i.e. the best way to enable the reproducibility of claimed matter, reviewing its need for improvement when AI is involved. And proposing a unique sequence of evolution inspired by IP’s current and evolving practices. 2) Give a new dimension to visual aids to help the Best Mode description, demystify AI complexity, and underline frontier traits that may hinder a confident adoption or well-argued rejection. 3) Further illustrations take into account the fact that IoT, AI, and 3D can be simpler than perceived. 4) Finally ATA©, Adjacent Technology Analysis, is timely refreshed in a unique challenging, indeed tumultuous, environment. 5) Bias, such as semantic ones is consistently monitored. 6) Overall leaving space for innovative pleasurable interpretation. The emphasis is on educational, illustrative and demonstrative value.

Research on Application of Frontier Technologies at Smart Airport

Throughout the development of the global airport industry,increasing new technologies are applied to airport industry.In this paper,the concept of smart airport is proposed.Firstly,the development history of smart airport was introduced,and the construction needs of China’s smart airports were studied.Then it analyzed the application of RFID technology,biometric technology,interactive wayfinding technology,big data and artificial intelligence technology at smart airports.The analytical results show that the application of the frontier technologies make the airport operation more efficient,decision-making more collaborative,control more accurate,and travel more convenient,thus helping the airport to accelerate the construction goal of intelligent airport.